Data Engineer Location: Brentwood, TN (Hybrid) Pay: Up to $58/hour W2 Schedule: Full-Time, Monday-Friday, 8:00 AM - 5:00 PM Employment Type: Contract About the Opportunity We're seeking a Data Engineer to join a growing Data Management & Business Intelligence team focused on building scalable, governed data solutions that support enterprise-wide initiatives. This role will play a key part in transforming manual and spreadsheet-driven processes into automated, data-driven workflows that improve reporting, analytics, and decision-making. You will work within cross-functional product teams to design, develop, and maintain data pipelines, data warehouse solutions, and curated datasets that support business operations, reporting, automation, and AI-driven initiatives. Key Responsibilities Design, develop, and maintain ETL/ELT processes and enterprise data pipelines Build and support data warehouse solutions and governed data products Integrate data from multiple source systems for reporting, analytics, and automation Perform data acquisition, cleansing, transformation, validation, and reconciliation Develop data models, curated datasets, and scalable reporting structures Support data governance initiatives including lineage, testing, quality assurance, and documentation Collaborate with Product Owners, BI teams, Developers, Architects, and business stakeholders Prepare data for dashboards, reporting platforms, automation workflows, and AI-enabled applications Optimize database performance and troubleshoot data processing issues Required Qualifications Strong experience with ETL/ELT development and data pipeline engineering Experience with enterprise database platforms such as: Google BigQuery Teradata Oracle Microsoft SQL Server Experience with Python, PowerShell, SSIS, or similar data engineering tools Experience with data warehousing, data modeling, and data structures Strong understanding of data governance, data quality, validation, reconciliation, and lineage Experience integrating multiple source systems and building scalable data solutions Excellent analytical, troubleshooting, and communication skills Preferred Qualifications Experience with Google Cloud Platform (GCP) Experience supporting Business Intelligence and reporting solutions Experience preparing data for automation, advanced analytics, or AI-driven initiatives Healthcare industry experience By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/26/2026
Full time
Data Engineer Location: Brentwood, TN (Hybrid) Pay: Up to $58/hour W2 Schedule: Full-Time, Monday-Friday, 8:00 AM - 5:00 PM Employment Type: Contract About the Opportunity We're seeking a Data Engineer to join a growing Data Management & Business Intelligence team focused on building scalable, governed data solutions that support enterprise-wide initiatives. This role will play a key part in transforming manual and spreadsheet-driven processes into automated, data-driven workflows that improve reporting, analytics, and decision-making. You will work within cross-functional product teams to design, develop, and maintain data pipelines, data warehouse solutions, and curated datasets that support business operations, reporting, automation, and AI-driven initiatives. Key Responsibilities Design, develop, and maintain ETL/ELT processes and enterprise data pipelines Build and support data warehouse solutions and governed data products Integrate data from multiple source systems for reporting, analytics, and automation Perform data acquisition, cleansing, transformation, validation, and reconciliation Develop data models, curated datasets, and scalable reporting structures Support data governance initiatives including lineage, testing, quality assurance, and documentation Collaborate with Product Owners, BI teams, Developers, Architects, and business stakeholders Prepare data for dashboards, reporting platforms, automation workflows, and AI-enabled applications Optimize database performance and troubleshoot data processing issues Required Qualifications Strong experience with ETL/ELT development and data pipeline engineering Experience with enterprise database platforms such as: Google BigQuery Teradata Oracle Microsoft SQL Server Experience with Python, PowerShell, SSIS, or similar data engineering tools Experience with data warehousing, data modeling, and data structures Strong understanding of data governance, data quality, validation, reconciliation, and lineage Experience integrating multiple source systems and building scalable data solutions Excellent analytical, troubleshooting, and communication skills Preferred Qualifications Experience with Google Cloud Platform (GCP) Experience supporting Business Intelligence and reporting solutions Experience preparing data for automation, advanced analytics, or AI-driven initiatives Healthcare industry experience By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
The Host Provisioning Service manages the end-to-end lifecycle of OCI hardware, including qualification, provisioning, firmware lifecycle management, cryptographic wiping, and decommissioning. In this role, you will provide technical leadership for new product introduction and fleet-management capabilities, define scalable architectures and automation, and partner across engineering, security, compute, manufacturing, and vendor organizations to bring complex hardware platforms into production reliably and securely. Responsibilities Lead the design, implementation, and operation of provisioning, firmware-management, and hardware lifecycle services. Drive qualification, onboarding, and operational readiness for new server, GPU, NIC, SmartNIC, and storage platforms. Define scalable automation and validation frameworks for firmware qualification, metadata generation, compliance validation, and deployment readiness. Lead investigation and resolution of complex production issues across provisioning, firmware, hardware-management, and platform lifecycle systems. Provide on-call support and technical leadership for customer fleet issues in OCI data centers. Establish technical standards for service reliability, observability, security, scalability, and operational excellence. Partner with Hardware Engineering, Security, Compute, Manufacturing, and hardware vendors to deliver secure, production-ready platform launches. Mentor engineers, lead design reviews and technical discussions, and drive post-incident improvements. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/26/2026
Full time
The Host Provisioning Service manages the end-to-end lifecycle of OCI hardware, including qualification, provisioning, firmware lifecycle management, cryptographic wiping, and decommissioning. In this role, you will provide technical leadership for new product introduction and fleet-management capabilities, define scalable architectures and automation, and partner across engineering, security, compute, manufacturing, and vendor organizations to bring complex hardware platforms into production reliably and securely. Responsibilities Lead the design, implementation, and operation of provisioning, firmware-management, and hardware lifecycle services. Drive qualification, onboarding, and operational readiness for new server, GPU, NIC, SmartNIC, and storage platforms. Define scalable automation and validation frameworks for firmware qualification, metadata generation, compliance validation, and deployment readiness. Lead investigation and resolution of complex production issues across provisioning, firmware, hardware-management, and platform lifecycle systems. Provide on-call support and technical leadership for customer fleet issues in OCI data centers. Establish technical standards for service reliability, observability, security, scalability, and operational excellence. Partner with Hardware Engineering, Security, Compute, Manufacturing, and hardware vendors to deliver secure, production-ready platform launches. Mentor engineers, lead design reviews and technical discussions, and drive post-incident improvements. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
We are seeking a Principal Product Manager to lead product strategy and execution for OCI Developer Tool Products focused on how OCI customers and internal engineering teams use modern cloud-native and AI-native tools to develop, release, and operate software more effectively. A central part of this role will be helping development teams transition to AI-native software development practices. You will identify where AI can meaningfully reduce friction, improve productivity, raise code quality, accelerate onboarding, and help developers better understand complex systems. You will work closely with engineering, UX, platform teams, security, compliance, and customers to define product direction, prioritize high-impact investments, and deliver tools that make development more intuitive, efficient, and intelligent. Responsibilities Qualifications 7+ years of professional experience in product management, technical product strategy, or related roles Experience building or managing developer experience products, developer tools, cloud platforms, IDE integrations, source control workflows, code review systems, test automation, internal developer platforms, or engineering productivity products Strong understanding of developer workflows in the Develop phase of the SDLC, including planning, coding, local development, branching strategies, pull requests, code review, testing, debugging, documentation, and onboarding Experience working with engineering teams on technically complex products and translating developer needs into clear product requirements, roadmaps, and execution plans Ability to define product strategy across multiple related product areas and align stakeholders around measurable developer experience outcomes Familiarity with AI-assisted development, generative AI, agentic workflows, developer copilots, automation, or AI/ML product capabilities Strong analytical skills, including the ability to use product usage data, developer feedback, productivity metrics, and business goals to guide prioritization Excellent communication skills with the ability to influence senior technical and business stakeholders Preferred Qualifications Experience with cloud infrastructure, platform engineering, internal developer platforms, or enterprise-scale software development environments Experience launching 0-to-1 products or modernizing established developer experience products Understanding of AI-native development patterns, including AI-assisted coding, repository-aware agents, code explanation, automated code review, test generation, debugging assistance, documentation generation, and workflow automation Experience with security, compliance, governance, or audit requirements in enterprise development workflows Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Responsibilities Key Responsibilities Define the product strategy and roadmap for OCI Developer Tool Products focused on improving the developer experience in the Develop phase of the SDLC Identify high-value opportunities to reduce friction across developer workflows, including coding, local development, code review, testing, debugging, onboarding, documentation, and service comprehension Lead the transition toward AI-native development practices by defining product capabilities that help developers work more effectively with AI-assisted and agentic tools Partner with engineering, UX, security, compliance, and internal platform teams to shape developer experiences that work for both individual developers and large engineering organizations Translate complex developer needs into clear product requirements, success metrics, and phased delivery plans Drive customer discovery with internal and external developers to understand pain points, validate product direction, and measure improvements in developer experience Prioritize product investments using developer impact, adoption data, technical feasibility, business value, and strategic alignment Define requirements for AI-assisted development workflows, including coding assistants, repository-aware agents, automated review, test generation, documentation support, debugging assistance, and development workflow automation Establish feedback mechanisms that connect developer behavior, tool usage, code quality, review patterns, and productivity signals back into product planning Collaborate with documentation, enablement, support, and go-to-market teams to ensure successful adoption of new developer tooling capabilities Measure product success through adoption, engagement, developer satisfaction, productivity improvements, reduced development friction, and code quality signals Help shape the future of software development on OCI by making the developer experience more intelligent, efficient, reliable, and AI-native. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,900 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/26/2026
Full time
We are seeking a Principal Product Manager to lead product strategy and execution for OCI Developer Tool Products focused on how OCI customers and internal engineering teams use modern cloud-native and AI-native tools to develop, release, and operate software more effectively. A central part of this role will be helping development teams transition to AI-native software development practices. You will identify where AI can meaningfully reduce friction, improve productivity, raise code quality, accelerate onboarding, and help developers better understand complex systems. You will work closely with engineering, UX, platform teams, security, compliance, and customers to define product direction, prioritize high-impact investments, and deliver tools that make development more intuitive, efficient, and intelligent. Responsibilities Qualifications 7+ years of professional experience in product management, technical product strategy, or related roles Experience building or managing developer experience products, developer tools, cloud platforms, IDE integrations, source control workflows, code review systems, test automation, internal developer platforms, or engineering productivity products Strong understanding of developer workflows in the Develop phase of the SDLC, including planning, coding, local development, branching strategies, pull requests, code review, testing, debugging, documentation, and onboarding Experience working with engineering teams on technically complex products and translating developer needs into clear product requirements, roadmaps, and execution plans Ability to define product strategy across multiple related product areas and align stakeholders around measurable developer experience outcomes Familiarity with AI-assisted development, generative AI, agentic workflows, developer copilots, automation, or AI/ML product capabilities Strong analytical skills, including the ability to use product usage data, developer feedback, productivity metrics, and business goals to guide prioritization Excellent communication skills with the ability to influence senior technical and business stakeholders Preferred Qualifications Experience with cloud infrastructure, platform engineering, internal developer platforms, or enterprise-scale software development environments Experience launching 0-to-1 products or modernizing established developer experience products Understanding of AI-native development patterns, including AI-assisted coding, repository-aware agents, code explanation, automated code review, test generation, debugging assistance, documentation generation, and workflow automation Experience with security, compliance, governance, or audit requirements in enterprise development workflows Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Responsibilities Key Responsibilities Define the product strategy and roadmap for OCI Developer Tool Products focused on improving the developer experience in the Develop phase of the SDLC Identify high-value opportunities to reduce friction across developer workflows, including coding, local development, code review, testing, debugging, onboarding, documentation, and service comprehension Lead the transition toward AI-native development practices by defining product capabilities that help developers work more effectively with AI-assisted and agentic tools Partner with engineering, UX, security, compliance, and internal platform teams to shape developer experiences that work for both individual developers and large engineering organizations Translate complex developer needs into clear product requirements, success metrics, and phased delivery plans Drive customer discovery with internal and external developers to understand pain points, validate product direction, and measure improvements in developer experience Prioritize product investments using developer impact, adoption data, technical feasibility, business value, and strategic alignment Define requirements for AI-assisted development workflows, including coding assistants, repository-aware agents, automated review, test generation, documentation support, debugging assistance, and development workflow automation Establish feedback mechanisms that connect developer behavior, tool usage, code quality, review patterns, and productivity signals back into product planning Collaborate with documentation, enablement, support, and go-to-market teams to ensure successful adoption of new developer tooling capabilities Measure product success through adoption, engagement, developer satisfaction, productivity improvements, reduced development friction, and code quality signals Help shape the future of software development on OCI by making the developer experience more intelligent, efficient, reliable, and AI-native. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,900 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House is seeking a Developer, Applied AI to join our Global Data Solutions team. We are looking for a hands-on developer who can help build, maintain, and enhance secure, reliable AI-enabled applications that improve how internal business teams access, process, and use enterprise data. This role sits at the intersection of Python backend engineering, Azure cloud services, enterprise data integration, document processing, and practical AI implementation. The successful candidate will work on applications that use large language models, Azure AI services, retrieval-based workflows, and APIs to solve real business problems and improve internal processes. As a key member of our team, the Developer will help support existing applications while also designing and building new solutions in response to evolving business needs. This includes working directly with stakeholders to understand requirements, recommending practical technical approaches, developing and testing applications, supporting deployments, and helping ensure solutions are secure, maintainable, and production ready. This is a production development role focused on applying AI and cloud technologies in useful, reliable, and business-focused ways. We do not expect candidates to have used every tool listed below; we are looking for strong Python engineering skills, practical AI experience, sound technical judgment, and the ability to learn new technologies quickly. We are eager to welcome a practical, curious developer who enjoys learning new technologies and applying them to business problems. The ideal candidate can step into existing systems and improve them but is also comfortable building new applications from the ground up. If you are excited about developing useful AI-enabled applications in a production environment and contributing to the future of applied AI at Penguin Random House, we would love to hear from you. Applications for this role will be accepted through August 11, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Qualifications Required Experience: 3+ years of professional software development experience, including strong hands-on experience with Python. Candidates should also have practical experience in the following areas: Experience building, maintaining, or supporting production applications in a cloud environment, preferably Microsoft Azure Experience developing REST APIs and backend services using frameworks such as FastAPI, Flask, or similar Practical experience integrating generative AI or large language model capabilities into applications Familiarity with one or more practical AI application patterns, such as prompt design, structured outputs, retrieval workflows, document processing, or orchestration Experience using relevant Azure services in a production environment. This may include Azure Functions, Durable Functions, Azure OpenAI, Azure AI Search, Azure Document Intelligence, Blob Storage, Container Apps, Key Vault, Application Insights, or comparable services Familiarity with AI frameworks such as LangChain and structured-output tools such as Pydantic, JSON Schema, or similar Experience with Git-based development workflows, pull requests, code reviews, CI/CD pipelines, and deployment automation Ability to troubleshoot production issues using logs, monitoring tools, and application diagnostics Working knowledge of SQL or experience working with enterprise data sources Strong communication skills and the ability to work directly with both technical and non-technical stakeholders Additional Experience That Would Be Helpful: Experience with retrieval-augmented generation, vector search, embeddings, semantic chunking, or LLM-powered extraction workflows Experience with Microsoft Fabric, Fabric Data Agents, Model Context Protocol, FastMCP, or other AI/data gateway patterns Experience with Docker, Azure Container Apps, Terraform, Terragrunt, or other containerization and infrastructure tools Familiarity with OAuth, JWT, Microsoft Entra ID, managed identities, On-Behalf-Of token exchange, or other enterprise authentication patterns Experience with OpenTelemetry, Azure Monitor, Application Insights, Log Analytics, or similar observability tools Working knowledge of pandas, NumPy, BeautifulSoup, markdownify, pypdf, python-docx, openpyxl, or other data and document processing libraries Understanding of machine learning fundamentals, AI evaluation approaches, or common AI system design tradeoffs Familiarity with secure development practices, data privacy considerations, or responsible AI concepts Prior experience in publishing is a plus Additional Information The salary range for this position is $130,000-$160,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. Applications for this role will be accepted through October 8, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .
09/26/2026
Full time
Company Description Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Job Description Penguin Random House is seeking a Developer, Applied AI to join our Global Data Solutions team. We are looking for a hands-on developer who can help build, maintain, and enhance secure, reliable AI-enabled applications that improve how internal business teams access, process, and use enterprise data. This role sits at the intersection of Python backend engineering, Azure cloud services, enterprise data integration, document processing, and practical AI implementation. The successful candidate will work on applications that use large language models, Azure AI services, retrieval-based workflows, and APIs to solve real business problems and improve internal processes. As a key member of our team, the Developer will help support existing applications while also designing and building new solutions in response to evolving business needs. This includes working directly with stakeholders to understand requirements, recommending practical technical approaches, developing and testing applications, supporting deployments, and helping ensure solutions are secure, maintainable, and production ready. This is a production development role focused on applying AI and cloud technologies in useful, reliable, and business-focused ways. We do not expect candidates to have used every tool listed below; we are looking for strong Python engineering skills, practical AI experience, sound technical judgment, and the ability to learn new technologies quickly. We are eager to welcome a practical, curious developer who enjoys learning new technologies and applying them to business problems. The ideal candidate can step into existing systems and improve them but is also comfortable building new applications from the ground up. If you are excited about developing useful AI-enabled applications in a production environment and contributing to the future of applied AI at Penguin Random House, we would love to hear from you. Applications for this role will be accepted through August 11, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Qualifications Required Experience: 3+ years of professional software development experience, including strong hands-on experience with Python. Candidates should also have practical experience in the following areas: Experience building, maintaining, or supporting production applications in a cloud environment, preferably Microsoft Azure Experience developing REST APIs and backend services using frameworks such as FastAPI, Flask, or similar Practical experience integrating generative AI or large language model capabilities into applications Familiarity with one or more practical AI application patterns, such as prompt design, structured outputs, retrieval workflows, document processing, or orchestration Experience using relevant Azure services in a production environment. This may include Azure Functions, Durable Functions, Azure OpenAI, Azure AI Search, Azure Document Intelligence, Blob Storage, Container Apps, Key Vault, Application Insights, or comparable services Familiarity with AI frameworks such as LangChain and structured-output tools such as Pydantic, JSON Schema, or similar Experience with Git-based development workflows, pull requests, code reviews, CI/CD pipelines, and deployment automation Ability to troubleshoot production issues using logs, monitoring tools, and application diagnostics Working knowledge of SQL or experience working with enterprise data sources Strong communication skills and the ability to work directly with both technical and non-technical stakeholders Additional Experience That Would Be Helpful: Experience with retrieval-augmented generation, vector search, embeddings, semantic chunking, or LLM-powered extraction workflows Experience with Microsoft Fabric, Fabric Data Agents, Model Context Protocol, FastMCP, or other AI/data gateway patterns Experience with Docker, Azure Container Apps, Terraform, Terragrunt, or other containerization and infrastructure tools Familiarity with OAuth, JWT, Microsoft Entra ID, managed identities, On-Behalf-Of token exchange, or other enterprise authentication patterns Experience with OpenTelemetry, Azure Monitor, Application Insights, Log Analytics, or similar observability tools Working knowledge of pandas, NumPy, BeautifulSoup, markdownify, pypdf, python-docx, openpyxl, or other data and document processing libraries Understanding of machine learning fundamentals, AI evaluation approaches, or common AI system design tradeoffs Familiarity with secure development practices, data privacy considerations, or responsible AI concepts Prior experience in publishing is a plus Additional Information The salary range for this position is $130,000-$160,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. Applications for this role will be accepted through October 8, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required for consideration. Before applying for any role at Penguin Random House, we recommend you review ou r applicant resources page and our FAQs page. Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. All your information will be kept confidential according to EEO guidelines. Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company's Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here. We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. All your information will be kept confidential according to EEO guidelines. Recruiting-Platform powered by SmartRecruiters .
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact The Professional, Application Development job will apply a basic understanding of Business Analysis and agile practices to develop, implement, support, and maintain cloud platforms and software applications within the ERP organization. In this role, you will partner with platform product teams and stakeholders to implement SAP, SAP BTP, Microsoft Azure, and other third-party software applications in alignment with approved technologies, architecture, and business processes. With limited supervision, this role leads a team of engineers and cross-functional stakeholders through software development of low-code and custom product solutions, bringing technical aptitude and execution skills to facilitate. Key Accountabilities PRODUCT MANAGEMENT: Use project management and business analysis skills to support the management of the products in the portfolio. Use project tools to document deliverables and facilitate agile activities. APPLICATION DEVELOPMENT & DEPLOYMENT: Use a general understanding of architecture standards and business processes to define and govern the software applications direction. Participate in investigations of moderately complex business and system issues to research and identify innovative solutions. USER COMMUNICATION & SUPPORT: Keeps an open channel of communication with users and responds to standard and moderately complex application development requests and needs. APPLICATION SUPPORT: Coordinates advanced and complex application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENT: Works with multi-functional teams, including developers, product managers and business partners to ensure products align with standards and project goals. INCIDENT & REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests. VENDOR MANAGEMENT: Handles positive relationships, meetings, and expectations with software vendors. Qualifications Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience. Preferred Qualifications Process management and/or process improvement, Six Sigma knowledge or certification. PMI PMP or Agile certification Cloud Platform knowledge (PowerPlatform, Azure, other third-party) SAP BTP knowledge (datasphere, WorkZone, integration suite, Business Application Studio) AI services and/or applications experience Pay Transparency The expected salary for this position is $71 000.00. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet. Equal Opportunity Employer, including Disability/Vet.
09/26/2026
Full time
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come. Job Purpose and Impact The Professional, Application Development job will apply a basic understanding of Business Analysis and agile practices to develop, implement, support, and maintain cloud platforms and software applications within the ERP organization. In this role, you will partner with platform product teams and stakeholders to implement SAP, SAP BTP, Microsoft Azure, and other third-party software applications in alignment with approved technologies, architecture, and business processes. With limited supervision, this role leads a team of engineers and cross-functional stakeholders through software development of low-code and custom product solutions, bringing technical aptitude and execution skills to facilitate. Key Accountabilities PRODUCT MANAGEMENT: Use project management and business analysis skills to support the management of the products in the portfolio. Use project tools to document deliverables and facilitate agile activities. APPLICATION DEVELOPMENT & DEPLOYMENT: Use a general understanding of architecture standards and business processes to define and govern the software applications direction. Participate in investigations of moderately complex business and system issues to research and identify innovative solutions. USER COMMUNICATION & SUPPORT: Keeps an open channel of communication with users and responds to standard and moderately complex application development requests and needs. APPLICATION SUPPORT: Coordinates advanced and complex application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENT: Works with multi-functional teams, including developers, product managers and business partners to ensure products align with standards and project goals. INCIDENT & REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests. VENDOR MANAGEMENT: Handles positive relationships, meetings, and expectations with software vendors. Qualifications Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience. Preferred Qualifications Process management and/or process improvement, Six Sigma knowledge or certification. PMI PMP or Agile certification Cloud Platform knowledge (PowerPlatform, Azure, other third-party) SAP BTP knowledge (datasphere, WorkZone, integration suite, Business Application Studio) AI services and/or applications experience Pay Transparency The expected salary for this position is $71 000.00. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet. Equal Opportunity Employer, including Disability/Vet.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/26/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/26/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer working on User Experience, you will build a new way to experience Ads in app and in game. This team will focus on the UX for users and developers in how they see and experience ads as well as for developers to see how their ads are performing. You will be part of the team building brand new user experiences that will be critical to our Immersive Ads future. You will report into our Engineering Manager. In this role, you will craft robust, extensible systems for high-traffic surfaces across our Ads products. You will drive solutions using React and other technologies, helping us to build components quickly and efficiently across devices. If you have a deep understanding of frontend technologies and a passion for refining client-server interaction, you will be right at home with us! You Will: Design, build and ship high-traffic features to improve the user journey for millions of users across mobile, desktop and other immersive platforms. Work with Engineering, Product, Design and Data partners to match developers with the right audience Architect universal solutions for delivering features across a range of platforms and devices Drive UX improvements through data-driven decisions and A/B testing Partner closely with Product, Design, Data Science, and other Roblox engineering teams to deliver coherent user journeys across the platform You Have: 3+ years of experience in software development Deep experience with web technologies (React, Typescript, Javascript) A strong history of building and launching consumer-facing features with design, product and/or other partners Mobile App Development or Game Development is a plus Degree or equivalent experience in Computer Science, Applied Math, Physics, Engineering, Statistics, or other technical field is a plus You Are: Passionate about users : You are sensitive to the needs of our users and strive to build the best possible experience for all; Versatile : You are comfortable switching between languages and are excited to learn new technologies; Analytical : You are driven to tackle large, ambiguous problems systematically and thoroughly; Innovative : You craft creative long-term solutions and stay in touch with industry developments; Team-oriented : You value the ideas and experiences of teammates and multi functional partners Systems-thinker: You have a strong understanding of client-server architecture, state management, and frontend performance optimization. Collaborative: You thrive in cross-functional environments and enjoy mentoring and elevating teammates. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $242,100-$293,800 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
09/26/2026
Full time
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer working on User Experience, you will build a new way to experience Ads in app and in game. This team will focus on the UX for users and developers in how they see and experience ads as well as for developers to see how their ads are performing. You will be part of the team building brand new user experiences that will be critical to our Immersive Ads future. You will report into our Engineering Manager. In this role, you will craft robust, extensible systems for high-traffic surfaces across our Ads products. You will drive solutions using React and other technologies, helping us to build components quickly and efficiently across devices. If you have a deep understanding of frontend technologies and a passion for refining client-server interaction, you will be right at home with us! You Will: Design, build and ship high-traffic features to improve the user journey for millions of users across mobile, desktop and other immersive platforms. Work with Engineering, Product, Design and Data partners to match developers with the right audience Architect universal solutions for delivering features across a range of platforms and devices Drive UX improvements through data-driven decisions and A/B testing Partner closely with Product, Design, Data Science, and other Roblox engineering teams to deliver coherent user journeys across the platform You Have: 3+ years of experience in software development Deep experience with web technologies (React, Typescript, Javascript) A strong history of building and launching consumer-facing features with design, product and/or other partners Mobile App Development or Game Development is a plus Degree or equivalent experience in Computer Science, Applied Math, Physics, Engineering, Statistics, or other technical field is a plus You Are: Passionate about users : You are sensitive to the needs of our users and strive to build the best possible experience for all; Versatile : You are comfortable switching between languages and are excited to learn new technologies; Analytical : You are driven to tackle large, ambiguous problems systematically and thoroughly; Innovative : You craft creative long-term solutions and stay in touch with industry developments; Team-oriented : You value the ideas and experiences of teammates and multi functional partners Systems-thinker: You have a strong understanding of client-server architecture, state management, and frontend performance optimization. Collaborative: You thrive in cross-functional environments and enjoy mentoring and elevating teammates. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $242,100-$293,800 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea's leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle - across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities - including workforce, IT administrator, developers, and machines - assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on LinkedIn, X, and YouTube. Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you. Apply today to help us achieve our mission. Professional Services Consultant Position Summary: Delinea is seeking an experienced Identity Management consultant to join their Professional Services Team. Applicants should be well versed in and have a passion for Identity Management, Cyber Security, Identity Security, and can facilitate fast-paced technology projects in global and complex environments. Our consultants must be detail oriented, proactive, and able to perform under pressure. If you are motivated by challenges, have a passion for excellence and are inspired by delivering solutions that work for our growing Delinea family, this role might just be the right fit for you. As a key member of the customer facing professional Services team, consultants work closely with the sales teams to ensure customers are successful with the implementation of Delinea products. Consultants play an instrumental role in the overall success of the company and its customers. The consultant's goal is to ensure our products are deployed leveraging best practices with minimal disruption to customer environments. This is a remote position, with occasional travel to conferences and headquarters, that reports to a Professional Services Delivery Manager. What You'll Do Lead customers through software implementation solutions by leveraging Delinea's delivery methodology. Maintain utilization targets and complete project deliverables. Configure and customize Delinea product solutions in line with customer Privilege Identity and Privilege Access requirements. Become the subject matter expert of the Delinea software product line. Build and maintain client relationships and become a trusted advisor. Collaborate with integration team members to help scope, gather appropriate requirements, design, and implement Privilege Identity and Privilege Access solutions leveraging Delinea products. Work efficiently with internal cross functional teams. Produce deliverables such as architectural and configuration plans, extensible scripts, and documentation from the resulting environment. Work independently by prioritizing and aligning work with organizational goals to achieve customer success. Be a team player for the professional services organization by collaborating and taking direction from the Solutions Architect Leads and Professional Services Managers. Be able to interact directly with technical contacts and all levels of management including executives (CTO, CIO, CISO, etc.) on client accounts. What You'll Bring: Bachelor's degree in Computer Science, Electronic or Computer Engineering, or similar area of specialty or comparable field experience. Proven experience in a technical delivery consulting role. Windows Server, Active Directory Administration, and UNIX/Linux Administration experience. Experience with the configuration and administration of Cloud providers: AWS, GCP, Azure. Working knowledge of the administration of MFA providers/technology like Azure MFA, RSA/SecureID, Ping, OATH, OTPs. A strong understanding of software, computer, network infrastructure, security fundamentals and best practices as it pertains to Privilege Access Management (PAM). Great organizational or technical project management skills. Self-starter mindset with an ongoing desire to stay current with software market and latest technologies. The ability to thrive in a team-oriented environment. Administrative experience with Delinea products, such as Secret Server or Privilege Manager; Server Suite or Privilege Access Service is a plus. Experience with the administration of PAM tools like CyberArk, Beyond Trust, HashiCorp, Okta is a plus. Windows Workstation endpoint management and administration experience is a plus. Scripting skills and working knowledge of PowerShell is a plus. MS SQL or PostgreSQL experience is a plus. RabbitMQ experience is a plus. Why work at Delinea? We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities. We invest in people who are smart, self-motivated, and collaborative. What we offer in return is meaningful work, a culture of innovation and great career progression. At Delinea, our core values are STRONG and guide our behaviors and success: Spirited - We bring energy and passion to everything we do Trust - We act with integrity and deliver on our commitments Respect - We listen, value different perspectives, and work as one team Ownership - We take initiative and follow through Nimble - We adapt quickly in a fast-changing environment Global - We embrace diverse people and ideas to drive better outcomes We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie. We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.
09/26/2026
Full time
About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea's leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle - across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities - including workforce, IT administrator, developers, and machines - assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on LinkedIn, X, and YouTube. Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you. Apply today to help us achieve our mission. Professional Services Consultant Position Summary: Delinea is seeking an experienced Identity Management consultant to join their Professional Services Team. Applicants should be well versed in and have a passion for Identity Management, Cyber Security, Identity Security, and can facilitate fast-paced technology projects in global and complex environments. Our consultants must be detail oriented, proactive, and able to perform under pressure. If you are motivated by challenges, have a passion for excellence and are inspired by delivering solutions that work for our growing Delinea family, this role might just be the right fit for you. As a key member of the customer facing professional Services team, consultants work closely with the sales teams to ensure customers are successful with the implementation of Delinea products. Consultants play an instrumental role in the overall success of the company and its customers. The consultant's goal is to ensure our products are deployed leveraging best practices with minimal disruption to customer environments. This is a remote position, with occasional travel to conferences and headquarters, that reports to a Professional Services Delivery Manager. What You'll Do Lead customers through software implementation solutions by leveraging Delinea's delivery methodology. Maintain utilization targets and complete project deliverables. Configure and customize Delinea product solutions in line with customer Privilege Identity and Privilege Access requirements. Become the subject matter expert of the Delinea software product line. Build and maintain client relationships and become a trusted advisor. Collaborate with integration team members to help scope, gather appropriate requirements, design, and implement Privilege Identity and Privilege Access solutions leveraging Delinea products. Work efficiently with internal cross functional teams. Produce deliverables such as architectural and configuration plans, extensible scripts, and documentation from the resulting environment. Work independently by prioritizing and aligning work with organizational goals to achieve customer success. Be a team player for the professional services organization by collaborating and taking direction from the Solutions Architect Leads and Professional Services Managers. Be able to interact directly with technical contacts and all levels of management including executives (CTO, CIO, CISO, etc.) on client accounts. What You'll Bring: Bachelor's degree in Computer Science, Electronic or Computer Engineering, or similar area of specialty or comparable field experience. Proven experience in a technical delivery consulting role. Windows Server, Active Directory Administration, and UNIX/Linux Administration experience. Experience with the configuration and administration of Cloud providers: AWS, GCP, Azure. Working knowledge of the administration of MFA providers/technology like Azure MFA, RSA/SecureID, Ping, OATH, OTPs. A strong understanding of software, computer, network infrastructure, security fundamentals and best practices as it pertains to Privilege Access Management (PAM). Great organizational or technical project management skills. Self-starter mindset with an ongoing desire to stay current with software market and latest technologies. The ability to thrive in a team-oriented environment. Administrative experience with Delinea products, such as Secret Server or Privilege Manager; Server Suite or Privilege Access Service is a plus. Experience with the administration of PAM tools like CyberArk, Beyond Trust, HashiCorp, Okta is a plus. Windows Workstation endpoint management and administration experience is a plus. Scripting skills and working knowledge of PowerShell is a plus. MS SQL or PostgreSQL experience is a plus. RabbitMQ experience is a plus. Why work at Delinea? We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities. We invest in people who are smart, self-motivated, and collaborative. What we offer in return is meaningful work, a culture of innovation and great career progression. At Delinea, our core values are STRONG and guide our behaviors and success: Spirited - We bring energy and passion to everything we do Trust - We act with integrity and deliver on our commitments Respect - We listen, value different perspectives, and work as one team Ownership - We take initiative and follow through Nimble - We adapt quickly in a fast-changing environment Global - We embrace diverse people and ideas to drive better outcomes We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie. We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays. Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.
Mission and Importance of this Role Wheelhouse has a rich ecosystem of incoming and outgoing integrations with partners. We are at the scale where we require a systematized and streamlined approach to capturing/handling bugs and also more general partnerships asks. A major part of this role will be establishing processes by which integration/partnership issues are raised, tracked and prioritized. This requires interfacing with several internal Wheelhouse teams, as well as with external parters. Sometimes bugs or integration improvements/asks will be addressed by you, and other times you will be responsible for triaging them to the appropriate parties. You will build process flows and internal tooling to help in this endeavor, and to empower non-engineers to investigate some issues themselves. As we expand into API-first, embedded, and AI-driven integrations, maintaining reliability across our partner ecosystem becomes mission-critical. This role ensures that Wheelhouse operates as a dependable platform, not just a standalone product. Job Description Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive. As a team, we enjoy shipping products our partners love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth. Now, we're looking for a Partnership Support Engineer to sit at the intersection of engineering, partnerships, and platform operations. You will play a critical role in ensuring our external integrations - including APIs, embedded experiences, and partner platforms - are reliable, scalable, and easy to operate. You will investigate integration issues, debug complex cross-system behavior, collaborate directly with partner technical teams, and either resolve problems yourself or triage effectively to internal engineers. Over time, you will build tools, diagnostics, and automation that enable both our team and partner teams to operate independently and efficiently. This role is ideal for an engineer who enjoys solving real-world problems across organizational boundaries, communicating with external technical stakeholders, and improving system reliability at ecosystem scale. We're looking for someone who 3-5 years of experience in a QA engineering or software engineering role. Strong debugging skills across APIs, integrations, and web applications. Experience with programming (ideally Ruby on Rails) to automate tasks and build internal tools. Experience with SQL or ORMs (ideally Active Record) to interact with data Familiarity with REST APIs, webhooks, and third-party integrations. Experience working with external technical stakeholders and can exhibit strong communication skills. Comfort navigating ambiguity across multiple systems you do not control Ability to analyze distributed failures across APIs, webhooks, queues, and data pipelines Experience reading third-party documentation and diagnosing integration mismatches Familiarity with SLAs, incident communication, and cross-company coordination Familiarity with Datadog for analyzing metrics is a plus Experience handling incidents involving external stakeholders Comfort communicating during production issues or degraded service Ability to reason about complex distributed systems and failure modes Experience troubleshooting data synchronization or event-driven systems Experience creating documentation regarding process engineering development. Bonus: Experience supporting B2B SaaS integrations or developer platforms What you'll be doing Engineer process solutions around incoming integration/partnerships bugs, improvements and asks. Debug integration issues involving external partners (PMSs, OTAs, channel managers, and embedded clients), coordinating directly with their technical teams when necessary Diagnose failures across APIs, webhooks, data pipelines, and synchronization processes Resolve issues directly when possible; otherwise triage effectively with clear reproduction steps and cross-system context Build internal diagnostics, dashboards, and tooling to enable faster investigation of partner issues Create reusable playbooks and runbooks for common integration failure modes Improve monitoring, alerting, and observability for partner-facing systems Support launches of new integrations, embedded deployments, or platform features Serve as the primary technical liaison for select strategic partners Identify systemic reliability risks and advocate for engineering improvements Act as the voice of our partner ecosystem within engineering and product teams Why Join Us Become the technical bridge between our engineering team and a growing ecosystem of partners Directly influence the reliability and scalability of a platform used by thousands of properties worldwide Work on real distributed-system problems spanning multiple companies Opportunity to grow into an integrations lead, platform reliability engineer, or partner engineering leader Collaborative small-team environment where your impact is highly visible Perks and Benefits The expected base salary range for this position is between $136,000 - $152,000 depending on experience. Competitive salary, cash bonus potential and equity Full medical, dental, and vision benefits for each US employee Fidelity 401k available for each US employee Unlimited PTO And more! About Us: Wheelhouse is a fintech platform for the $500B+ flex rental space. Most specifically, we enable short & mid-length stay providers with 1 to 100,000+ listings to earn 20%+ more from their rental properties. In 2021, our target customer segment voted our platform "Innovation of the Year" at the Data & Revenue Management conference. This sentiment is shared by our customers, as evidenced by our platforms low churn and rapidly growing ARPU. In 2022, we closed a significant funding round, with participation from many of the best tech, travel & real estate investors. We're lucky to have a long runway, low burn, and rapidly growing revenue. As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth. We're experienced business & product builders who have founded multiple companies together, know our category extremely well, and recognize how rare/special it is to be perfectly positioned around a big opportunity with a very strong cross-functional team. We'd be eager to say hello and learn more about you!
09/26/2026
Full time
Mission and Importance of this Role Wheelhouse has a rich ecosystem of incoming and outgoing integrations with partners. We are at the scale where we require a systematized and streamlined approach to capturing/handling bugs and also more general partnerships asks. A major part of this role will be establishing processes by which integration/partnership issues are raised, tracked and prioritized. This requires interfacing with several internal Wheelhouse teams, as well as with external parters. Sometimes bugs or integration improvements/asks will be addressed by you, and other times you will be responsible for triaging them to the appropriate parties. You will build process flows and internal tooling to help in this endeavor, and to empower non-engineers to investigate some issues themselves. As we expand into API-first, embedded, and AI-driven integrations, maintaining reliability across our partner ecosystem becomes mission-critical. This role ensures that Wheelhouse operates as a dependable platform, not just a standalone product. Job Description Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive. As a team, we enjoy shipping products our partners love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth. Now, we're looking for a Partnership Support Engineer to sit at the intersection of engineering, partnerships, and platform operations. You will play a critical role in ensuring our external integrations - including APIs, embedded experiences, and partner platforms - are reliable, scalable, and easy to operate. You will investigate integration issues, debug complex cross-system behavior, collaborate directly with partner technical teams, and either resolve problems yourself or triage effectively to internal engineers. Over time, you will build tools, diagnostics, and automation that enable both our team and partner teams to operate independently and efficiently. This role is ideal for an engineer who enjoys solving real-world problems across organizational boundaries, communicating with external technical stakeholders, and improving system reliability at ecosystem scale. We're looking for someone who 3-5 years of experience in a QA engineering or software engineering role. Strong debugging skills across APIs, integrations, and web applications. Experience with programming (ideally Ruby on Rails) to automate tasks and build internal tools. Experience with SQL or ORMs (ideally Active Record) to interact with data Familiarity with REST APIs, webhooks, and third-party integrations. Experience working with external technical stakeholders and can exhibit strong communication skills. Comfort navigating ambiguity across multiple systems you do not control Ability to analyze distributed failures across APIs, webhooks, queues, and data pipelines Experience reading third-party documentation and diagnosing integration mismatches Familiarity with SLAs, incident communication, and cross-company coordination Familiarity with Datadog for analyzing metrics is a plus Experience handling incidents involving external stakeholders Comfort communicating during production issues or degraded service Ability to reason about complex distributed systems and failure modes Experience troubleshooting data synchronization or event-driven systems Experience creating documentation regarding process engineering development. Bonus: Experience supporting B2B SaaS integrations or developer platforms What you'll be doing Engineer process solutions around incoming integration/partnerships bugs, improvements and asks. Debug integration issues involving external partners (PMSs, OTAs, channel managers, and embedded clients), coordinating directly with their technical teams when necessary Diagnose failures across APIs, webhooks, data pipelines, and synchronization processes Resolve issues directly when possible; otherwise triage effectively with clear reproduction steps and cross-system context Build internal diagnostics, dashboards, and tooling to enable faster investigation of partner issues Create reusable playbooks and runbooks for common integration failure modes Improve monitoring, alerting, and observability for partner-facing systems Support launches of new integrations, embedded deployments, or platform features Serve as the primary technical liaison for select strategic partners Identify systemic reliability risks and advocate for engineering improvements Act as the voice of our partner ecosystem within engineering and product teams Why Join Us Become the technical bridge between our engineering team and a growing ecosystem of partners Directly influence the reliability and scalability of a platform used by thousands of properties worldwide Work on real distributed-system problems spanning multiple companies Opportunity to grow into an integrations lead, platform reliability engineer, or partner engineering leader Collaborative small-team environment where your impact is highly visible Perks and Benefits The expected base salary range for this position is between $136,000 - $152,000 depending on experience. Competitive salary, cash bonus potential and equity Full medical, dental, and vision benefits for each US employee Fidelity 401k available for each US employee Unlimited PTO And more! About Us: Wheelhouse is a fintech platform for the $500B+ flex rental space. Most specifically, we enable short & mid-length stay providers with 1 to 100,000+ listings to earn 20%+ more from their rental properties. In 2021, our target customer segment voted our platform "Innovation of the Year" at the Data & Revenue Management conference. This sentiment is shared by our customers, as evidenced by our platforms low churn and rapidly growing ARPU. In 2022, we closed a significant funding round, with participation from many of the best tech, travel & real estate investors. We're lucky to have a long runway, low burn, and rapidly growing revenue. As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth. We're experienced business & product builders who have founded multiple companies together, know our category extremely well, and recognize how rare/special it is to be perfectly positioned around a big opportunity with a very strong cross-functional team. We'd be eager to say hello and learn more about you!
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the User Connections team, you will define the backend systems that power the social ecosystem ranging from Friending, Profiles (Identity + Expression), and other Social engagement. You will tech lead the engineering team, influence service architecture designs, and guide the team's roadmap both technical and product. Your work will power the Roblox ecosystem, helping people recognize and connect with friends & interests on Roblox, express themselves, and discover & engage with the best of Roblox through their connections. You will own critical features used by millions of users daily, such as profiles, names, online presence, co-play tools, and social proof, as well as develop new zero-to-one features. You will drive company-level objectives for user engagement. If you are an experienced developer with a deep understanding of large scale systems and enjoy shaping engineering vision, you'll be right at home within our highly-skilled and product-focused team. This role is based at Roblox HQ in San Mateo, CA (no remote option). You Will: Tech lead the engineering team Lead the design and implementation of scalable backend systems to support hundreds of millions of users. Enforce high quality standards throughout feature development and iteration. Collaborate with other engineering, product, and design teams to define and build platform features to enable users to express their identities Mentor engineers and uplevel the team You Have: 8+ years of experience designing, building, and supporting highly available and large-scale distributed fault tolerant services in production environments Extensive knowledge of server-side architecture and design principles, with proficiency in compiled languages such as C#, Java, C++, or others. Bachelor's degree or higher in Computer Science or a related field. (Bonus) Experience with social products is a plus. You Are: Proactive: You operate with a sense of urgency, initiating conversations and workflow that pushes team projects and people forward A Leader: You have initiated and facilitated challenging technical decisions across multiple teams and organizations. Scrappy: You are willing to dive into any tech stack to solve problems, and can easily adapt to any situation when the need arises and come up with the right solution. A product owner: You champion for changes that align with the needs of our users For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $227,370-$278,530 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
09/26/2026
Full time
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the User Connections team, you will define the backend systems that power the social ecosystem ranging from Friending, Profiles (Identity + Expression), and other Social engagement. You will tech lead the engineering team, influence service architecture designs, and guide the team's roadmap both technical and product. Your work will power the Roblox ecosystem, helping people recognize and connect with friends & interests on Roblox, express themselves, and discover & engage with the best of Roblox through their connections. You will own critical features used by millions of users daily, such as profiles, names, online presence, co-play tools, and social proof, as well as develop new zero-to-one features. You will drive company-level objectives for user engagement. If you are an experienced developer with a deep understanding of large scale systems and enjoy shaping engineering vision, you'll be right at home within our highly-skilled and product-focused team. This role is based at Roblox HQ in San Mateo, CA (no remote option). You Will: Tech lead the engineering team Lead the design and implementation of scalable backend systems to support hundreds of millions of users. Enforce high quality standards throughout feature development and iteration. Collaborate with other engineering, product, and design teams to define and build platform features to enable users to express their identities Mentor engineers and uplevel the team You Have: 8+ years of experience designing, building, and supporting highly available and large-scale distributed fault tolerant services in production environments Extensive knowledge of server-side architecture and design principles, with proficiency in compiled languages such as C#, Java, C++, or others. Bachelor's degree or higher in Computer Science or a related field. (Bonus) Experience with social products is a plus. You Are: Proactive: You operate with a sense of urgency, initiating conversations and workflow that pushes team projects and people forward A Leader: You have initiated and facilitated challenging technical decisions across multiple teams and organizations. Scrappy: You are willing to dive into any tech stack to solve problems, and can easily adapt to any situation when the need arises and come up with the right solution. A product owner: You champion for changes that align with the needs of our users For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $227,370-$278,530 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Join Axon and be a Force for Good At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact The Axon VR team is building immersive training experiences that help officers develop greater empathy, improve decision-making under pressure, and enhance community engagement. As a Senior Software Engineer on our Engineering team, you'll design and build the infrastructure that enables every team to work faster, more predictably, and with greater confidence. You'll own critical systems that accelerate development velocity, improve code quality, and drive reliable deployments at scale. This role is ideal for a highly technical engineer who is passionate about workflow productivity, infrastructure reliability, and enabling cross-functional teams to ship world-class work. What You'll Do Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Reports to: Senior QA Manager Design and implement internal tools, platforms, and frameworks that improve developer experience and reduce friction across the engineering organization. Architect and maintain CI/CD systems that automate build, test, and deployment workflows; ensure reliable execution at scale and support rapid iteration. Build infrastructure and tooling that supports multiple types of testing (e.g., functional, integration, performance) so teams can validate quality and performance quickly and consistently. Create observability and monitoring solutions that provide visibility into system health, deployment status, and pipeline performance; enable rapid identification and resolution of issues. Collaborate across teams to understand workflow challenges, gather requirements, and validate technical solutions. Contribute to documentation, best practices, and onboarding materials that enable teams to adopt and maintain internal tools effectively. Drive continuous improvement through user feedback, experimentation, and iterative refinement of infrastructure systems. What You Bring 5+ years of experience in software development or infrastructure engineering, with demonstrated expertise in building systems at scale. Deep experience building and shipping customer facing applications in Unity. Exceptional C#, system architecture, and class design skills Proven experience designing and maintaining CI/CD systems, build automation, and deployment infrastructure. Strong background in observability, monitoring, and diagnostics - building systems that surface issues clearly and enable root cause analysis. Experience architecting and implementing testing frameworks, test execution platforms, or similar infrastructure. Ability to design systems with a focus on developer experience, usability, and reducing operational toil. Strong communication and collaboration skills; comfort working across diverse technical teams with different needs and backgrounds. A strong sense of ownership; ability to identify problems, propose solutions, and drive them to completion. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit Base Pay Range $141,000-$225,600 USD Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at If you receive a suspicious offer or outreach from an email address that is not , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to .
09/26/2026
Full time
Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Join Axon and be a Force for Good At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact The Axon VR team is building immersive training experiences that help officers develop greater empathy, improve decision-making under pressure, and enhance community engagement. As a Senior Software Engineer on our Engineering team, you'll design and build the infrastructure that enables every team to work faster, more predictably, and with greater confidence. You'll own critical systems that accelerate development velocity, improve code quality, and drive reliable deployments at scale. This role is ideal for a highly technical engineer who is passionate about workflow productivity, infrastructure reliability, and enabling cross-functional teams to ship world-class work. What You'll Do Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Reports to: Senior QA Manager Design and implement internal tools, platforms, and frameworks that improve developer experience and reduce friction across the engineering organization. Architect and maintain CI/CD systems that automate build, test, and deployment workflows; ensure reliable execution at scale and support rapid iteration. Build infrastructure and tooling that supports multiple types of testing (e.g., functional, integration, performance) so teams can validate quality and performance quickly and consistently. Create observability and monitoring solutions that provide visibility into system health, deployment status, and pipeline performance; enable rapid identification and resolution of issues. Collaborate across teams to understand workflow challenges, gather requirements, and validate technical solutions. Contribute to documentation, best practices, and onboarding materials that enable teams to adopt and maintain internal tools effectively. Drive continuous improvement through user feedback, experimentation, and iterative refinement of infrastructure systems. What You Bring 5+ years of experience in software development or infrastructure engineering, with demonstrated expertise in building systems at scale. Deep experience building and shipping customer facing applications in Unity. Exceptional C#, system architecture, and class design skills Proven experience designing and maintaining CI/CD systems, build automation, and deployment infrastructure. Strong background in observability, monitoring, and diagnostics - building systems that surface issues clearly and enable root cause analysis. Experience architecting and implementing testing frameworks, test execution platforms, or similar infrastructure. Ability to design systems with a focus on developer experience, usability, and reducing operational toil. Strong communication and collaboration skills; comfort working across diverse technical teams with different needs and backgrounds. A strong sense of ownership; ability to identify problems, propose solutions, and drive them to completion. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit Base Pay Range $141,000-$225,600 USD Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at If you receive a suspicious offer or outreach from an email address that is not , or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to .
Leidos has an exciting opportunity for Cyber Security Engineer-Technical Lead in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This role is responsible for protecting the customer's information systems and networks from potential cyber-attacks. The Cyber Security Engineer- Technical Lead will serve in a hands-on "player-coach" capacity, dedicating approximately 75% of time to direct technical engineering, troubleshooting, and implementation work, while providing technical leadership and coordination across the security team. The candidate must display an excellent understanding of technology and utilization of Firewalls (Security Groups), VPNs, Data Loss Prevention (DPS), IDS/IPS, Web-Proxy, Security tools, and Security Audits. Candidate will work directly with Team leads, developers, operations personnel, and other Technical Leads throughout a DevSecOps life cycle both on policy and technical implementation of technologies. This is not a supervisory management role. Success in this position is measured by individual technical contribution and resolution of complex security issues, in addition to technical leadership impact. Primary Responsibilities: Plan, implement, manage, monitor, and upgrade security controls and tools used to protect enterprise systems and networks, while identifying opportunities to automate repeatable operations tasks. Design, configure, implement, troubleshoot, and maintain security technologies such as firewalls (security groups), endpoint protection tools (HBSS/Trellix), SIEM platforms (Splunk), Formulate systems and methodologies as well as respond to security related events and assist in remediation efforts of cyber security incidents (system and/or network breaches, malware attacks) Participate in change management processes to ensure system changes maintain security compliance and do not introduce new vulnerabilities. Conduct routine vulnerability scanning and assessment activities, provide formal and informal reports to technical teams, and track remediation efforts to closure. Provide technical leadership and subject matter expertise to the security engineering team while coordinating with peer Technical Leads across infrastructure and application domains to ensure alignment of architecture and security controls. Serve as the primary technical escalation point for complex or cross-domain security issues while mentoring junior engineers through collaborative troubleshooting and hands-on technical guidance. Basic Qualifications: Experience implementing and managing Security Information and Event Management (SIEM) tools such as Splunk or similar platforms. Experience working with endpoint and network security technologies, including IDS/IPS, HBSS/Trellix, and related defensive security tools. Expert with automation (e.g., Ansible, CloudFormation) Demonstrated history of personally implementing, troubleshooting, and maintaining security technologies in production environments. Proven ability to balance technical leadership responsibilities with significant hands-on engineering work. Strong attention to detail with analytical mind outstanding problem-solving skills Monitor security advisories, bulletins, and industry threat intelligence to stay informed of current vulnerabilities, threats, and trends. Requires Master's degree and 15 or more years of prior relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered, you must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Experience with additional security tools and processes such as IDS/IPS, VPN, GitHub, GitLab, SonarQube Experience with implementing and managing network and application firewalls, virtual private networks, firewalls, web protocols, incident detection, incident response, and forensics activities, Experience with Agile software development processes/environments, scripting /programming languages such as Python or PowerShell. (e.g., React), DevOpsSec pipelines and tools Familiar with Cloud Computing Technologies and Services (AWS, Oracle, Google) Knowledge of potential attack vectors such as XSS, injection, hijacking and social engineering Experience with health monitoring tools (SolarWinds) and using STIG viewers/tools to assess compliance with standards Experience with database systems, search engines, web applications, Linux Red Hat environments, Windows environment At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. CABARESTON If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: March 23, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/26/2026
Full time
Leidos has an exciting opportunity for Cyber Security Engineer-Technical Lead in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This role is responsible for protecting the customer's information systems and networks from potential cyber-attacks. The Cyber Security Engineer- Technical Lead will serve in a hands-on "player-coach" capacity, dedicating approximately 75% of time to direct technical engineering, troubleshooting, and implementation work, while providing technical leadership and coordination across the security team. The candidate must display an excellent understanding of technology and utilization of Firewalls (Security Groups), VPNs, Data Loss Prevention (DPS), IDS/IPS, Web-Proxy, Security tools, and Security Audits. Candidate will work directly with Team leads, developers, operations personnel, and other Technical Leads throughout a DevSecOps life cycle both on policy and technical implementation of technologies. This is not a supervisory management role. Success in this position is measured by individual technical contribution and resolution of complex security issues, in addition to technical leadership impact. Primary Responsibilities: Plan, implement, manage, monitor, and upgrade security controls and tools used to protect enterprise systems and networks, while identifying opportunities to automate repeatable operations tasks. Design, configure, implement, troubleshoot, and maintain security technologies such as firewalls (security groups), endpoint protection tools (HBSS/Trellix), SIEM platforms (Splunk), Formulate systems and methodologies as well as respond to security related events and assist in remediation efforts of cyber security incidents (system and/or network breaches, malware attacks) Participate in change management processes to ensure system changes maintain security compliance and do not introduce new vulnerabilities. Conduct routine vulnerability scanning and assessment activities, provide formal and informal reports to technical teams, and track remediation efforts to closure. Provide technical leadership and subject matter expertise to the security engineering team while coordinating with peer Technical Leads across infrastructure and application domains to ensure alignment of architecture and security controls. Serve as the primary technical escalation point for complex or cross-domain security issues while mentoring junior engineers through collaborative troubleshooting and hands-on technical guidance. Basic Qualifications: Experience implementing and managing Security Information and Event Management (SIEM) tools such as Splunk or similar platforms. Experience working with endpoint and network security technologies, including IDS/IPS, HBSS/Trellix, and related defensive security tools. Expert with automation (e.g., Ansible, CloudFormation) Demonstrated history of personally implementing, troubleshooting, and maintaining security technologies in production environments. Proven ability to balance technical leadership responsibilities with significant hands-on engineering work. Strong attention to detail with analytical mind outstanding problem-solving skills Monitor security advisories, bulletins, and industry threat intelligence to stay informed of current vulnerabilities, threats, and trends. Requires Master's degree and 15 or more years of prior relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered, you must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Experience with additional security tools and processes such as IDS/IPS, VPN, GitHub, GitLab, SonarQube Experience with implementing and managing network and application firewalls, virtual private networks, firewalls, web protocols, incident detection, incident response, and forensics activities, Experience with Agile software development processes/environments, scripting /programming languages such as Python or PowerShell. (e.g., React), DevOpsSec pipelines and tools Familiar with Cloud Computing Technologies and Services (AWS, Oracle, Google) Knowledge of potential attack vectors such as XSS, injection, hijacking and social engineering Experience with health monitoring tools (SolarWinds) and using STIG viewers/tools to assess compliance with standards Experience with database systems, search engines, web applications, Linux Red Hat environments, Windows environment At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. CABARESTON If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: March 23, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/26/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/26/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/26/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
09/26/2026
Full time
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. The Opportunity ZoomInfo isn't adding AI to our products-we've rebuilt around it. Our multi-agent orchestration platform powers intelligent automation across every product surface: Copilot, GTM Studio, MarketingOS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do . This role owns the agentic tools ecosystem-the MCP servers, LangChain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects ZoomInfo's intelligence to the broader ecosystem ships through your roadmap. When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier-evaluating what's production-ready versus what's research curiosity, and making the calls that shape how ZoomInfo's agents interact with the world. This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features-they compound. What You'll Do Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo's multi-agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand. Architect Integration Strategy ZoomInfo's agents don't operate in isolation-they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle. Drive Agentic Execution Excellence Tools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements. Enable Internal Tool Development Multiple product teams need to extend agent capabilities for their specific domains. Build the developer experience-documentation, templates, testing frameworks, deployment pipelines-that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation? Navigate the Agentic Frontier The standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool-use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations-function calling improvements, multi-tool planning, tool composition patterns-determining which advances warrant immediate adoption versus patient observation. Bring external best practices to ZoomInfo while contributing learnings back to the community. Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility. What You'll Bring 12+ years of product management experience with 5+ years focused on AI/ML infrastructure, developer platforms, or integration products Direct experience with production agentic systems-you've shipped products where LLMs invoke tools, not just generate text Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns) Track record building platform products where engineering teams are your customers Experience with integration architecture-APIs, webhooks, authentication patterns, rate limiting, error handling at scale History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices Who You Are Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail-context window limits, hallucinated tool calls, poor error recovery-and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers. Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed-clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model. Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability. Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity-how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize. Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held-your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable. Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority. Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900-$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status . click apply for full job details
We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a visionary and execution-focused Lead Director - Artificial Intelligence, Machine Learning and Data Engineering to build, scale, and operate enterprise capabilities that enable secure, reliable, responsible, and business-driven adoption of artificial intelligence across one of the largest healthcare organizations in the world. Within the Solutions Engineering and Infrastructure organization, this leader will play a critical role in establishing the foundational data, engineering, platform, governance, and operational capabilities required to deliver artificial intelligence and machine learning solutions at enterprise scale. Reporting to the Executive Director, this leader will oversee teams responsible for developing reusable data products, standing up platforms and components to accelerate AI solution delivery, launch developer enablement accelerators, establish DevSecOps/MLOps/LLMOps operational standards and frameworks for deploying and scaling agentic systems. This role combines deep technical expertise with demonstrated success leading large platform engineering organizations, driving enterprise transformation, delivering platform excellence, and developing high-performing teams. This is a U.S.-based REMOTE position; candidates must reside within the United States. PRIMARY DUTIES AND RESPONSIBILITIES Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP servers, memory and context services, reusable agents, model lifecycle management, and developer enablement accelerators that drive scalable AI/ML adoption. Lead the strategy, development, and operation of reusable data products and enterprise data engineering capabilities, including data ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services that support AI, analytics, and business outcomes. Establish enterprise standards and operational practices for platform reliability, observability, infrastructure automation, security, privacy, compliance, model governance, responsible AI, risk management, disaster recovery, capacity planning, and audit readiness. Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to guide technology strategy, evaluate emerging technologies, define enterprise standards, optimize investments, reduce duplication, and accelerate AI and data modernization initiatives. Build, lead, and develop high-performing teams of Engineering Managers, Data Engineers, AI Engineers, Platform Engineers, and Operations Engineers while fostering a culture of innovation, accountability, continuous learning, inclusion, operational excellence, and measurable business impact. REQUIRED QUALIFICATIONS 10+ years of experience in software engineering, data engineering, artificial intelligence, machine learning, platform engineering, or related engineering disciplines, including designing and delivering enterprise-scale technology solutions. 7+ years of experience building and leading large-scale platform engineering organizations responsible for enterprise AI/ML platforms, data platforms, products, and technology delivery. 7+ years of hands-on experience building and scaling AI/ML platforms, DevSecOps, MLOps, LLMOps, deployment automation, security engineering, and platform operations supporting mission-critical workloads. 7+ years of experience designing and operating secure cloud-native platforms within highly regulated environments, including privacy, security, governance, compliance, identity management, audit controls, risk management, and operational resilience. 5+ years of experience leading and developing high-performing engineering organizations, including Engineering Managers and senior technical professionals, while building enterprise Data Engineering capabilities, including large-scale data ingestion, batch and streaming architectures, data governance, and reusable data products. PREFERRED QUALIFICATIONS Experience leading enterprise AI, Machine Learning, Data Platform, Platform Engineering, or Developer Platform organizations within healthcare, retail, financial services, technology, or other highly regulated industries. Experience building and governing enterprise AI platforms utilizing Retrieval-Augmented Generation (RAG), GraphRAG, vector databases, foundation models, agentic architectures, MCP frameworks, and responsible AI capabilities. Demonstrated success managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement. Experience supporting large-scale platform modernization initiatives involving cloud-native architectures, platform engineering, developer enablement, enterprise data platforms, and AI/ML transformation programs. Experience leveraging AI-powered engineering tools such as Claude, Claude Code, GitHub Copilot, Microsoft Copilot, and similar technologies to improve software development productivity, platform operations, engineering efficiency, and secure delivery practices. EDUCATION Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience). BUSINESS OVERVIEW Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 10/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
09/26/2026
Full time
We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a visionary and execution-focused Lead Director - Artificial Intelligence, Machine Learning and Data Engineering to build, scale, and operate enterprise capabilities that enable secure, reliable, responsible, and business-driven adoption of artificial intelligence across one of the largest healthcare organizations in the world. Within the Solutions Engineering and Infrastructure organization, this leader will play a critical role in establishing the foundational data, engineering, platform, governance, and operational capabilities required to deliver artificial intelligence and machine learning solutions at enterprise scale. Reporting to the Executive Director, this leader will oversee teams responsible for developing reusable data products, standing up platforms and components to accelerate AI solution delivery, launch developer enablement accelerators, establish DevSecOps/MLOps/LLMOps operational standards and frameworks for deploying and scaling agentic systems. This role combines deep technical expertise with demonstrated success leading large platform engineering organizations, driving enterprise transformation, delivering platform excellence, and developing high-performing teams. This is a U.S.-based REMOTE position; candidates must reside within the United States. PRIMARY DUTIES AND RESPONSIBILITIES Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP servers, memory and context services, reusable agents, model lifecycle management, and developer enablement accelerators that drive scalable AI/ML adoption. Lead the strategy, development, and operation of reusable data products and enterprise data engineering capabilities, including data ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services that support AI, analytics, and business outcomes. Establish enterprise standards and operational practices for platform reliability, observability, infrastructure automation, security, privacy, compliance, model governance, responsible AI, risk management, disaster recovery, capacity planning, and audit readiness. Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to guide technology strategy, evaluate emerging technologies, define enterprise standards, optimize investments, reduce duplication, and accelerate AI and data modernization initiatives. Build, lead, and develop high-performing teams of Engineering Managers, Data Engineers, AI Engineers, Platform Engineers, and Operations Engineers while fostering a culture of innovation, accountability, continuous learning, inclusion, operational excellence, and measurable business impact. REQUIRED QUALIFICATIONS 10+ years of experience in software engineering, data engineering, artificial intelligence, machine learning, platform engineering, or related engineering disciplines, including designing and delivering enterprise-scale technology solutions. 7+ years of experience building and leading large-scale platform engineering organizations responsible for enterprise AI/ML platforms, data platforms, products, and technology delivery. 7+ years of hands-on experience building and scaling AI/ML platforms, DevSecOps, MLOps, LLMOps, deployment automation, security engineering, and platform operations supporting mission-critical workloads. 7+ years of experience designing and operating secure cloud-native platforms within highly regulated environments, including privacy, security, governance, compliance, identity management, audit controls, risk management, and operational resilience. 5+ years of experience leading and developing high-performing engineering organizations, including Engineering Managers and senior technical professionals, while building enterprise Data Engineering capabilities, including large-scale data ingestion, batch and streaming architectures, data governance, and reusable data products. PREFERRED QUALIFICATIONS Experience leading enterprise AI, Machine Learning, Data Platform, Platform Engineering, or Developer Platform organizations within healthcare, retail, financial services, technology, or other highly regulated industries. Experience building and governing enterprise AI platforms utilizing Retrieval-Augmented Generation (RAG), GraphRAG, vector databases, foundation models, agentic architectures, MCP frameworks, and responsible AI capabilities. Demonstrated success managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement. Experience supporting large-scale platform modernization initiatives involving cloud-native architectures, platform engineering, developer enablement, enterprise data platforms, and AI/ML transformation programs. Experience leveraging AI-powered engineering tools such as Claude, Claude Code, GitHub Copilot, Microsoft Copilot, and similar technologies to improve software development productivity, platform operations, engineering efficiency, and secure delivery practices. EDUCATION Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience). BUSINESS OVERVIEW Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 10/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
