Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you'll love this job As part of the Identity Services team, you'll help deliver secure digital products that support a reliable and profitable airline. You will design, implement, and care for cybersecurity solutions that protect users, systems, operations, and data, by ensuring strong identity controls such as role based access, authentication, authorization, and governance. This role requires attention to detail, strong problem solving, and high ethical responsibility. The fast paced global airline environment offers opportunities for professional development, continuous growth, and meaningful impact. In the Identity Services domain, you will be responsible for the architecture, design, standards, and patterns for delivering strong identity and access programs. You will be expected to balance technical oversight, and business alignment to secure organization's digital assets while ensuring the team is empowered, the systems are resilient, and the entire operation runs smoothly, effectively, and proactively. Additional information about the skills needed for this position is listed in the Skills, Licenses & Certifications section below. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Identity and Access Management (IAM) Architecture: Design and oversee the architecture and deployment of IAM solutions to manage user identities, roles, and access privileges across the organization's systems and applications. User Provisioning and De-provisioning Framework: Architect and optimize the processes for automating the creation, modification, and removal of user accounts and access rights based on organizational policies and user roles. Security and Governance: Establishing policies for user access, role-based access control (RBAC), and ensuring audit compliance. Designing Secure Architectures: Develop and design secure IT architectures that protect the organization's data, applications, and infrastructure from cyber threats. Collaboration with Stakeholders: Work closely with other IT teams, business units, and external partners to ensure security requirements are understood and implemented effectively. Security Standards and Best Practices: Establish and enforce security standards, guidelines, and best practices across the organization. Leadership: Provide technical guidance and oversight to the engineering team, system owners and customers. Incident Response Planning: Develop and maintain comprehensive incident response plans and procedures to ensure swift and effective handling of security incidents. Monitoring and Auditing Systems: Design and direct the continuous monitoring of IAM systems for suspicious activities, perform regular audits to ensure compliance with security policies, and generate comprehensive reports on access controls and user activities. Communication: Clearly convey project risks and strategies to senior management and stakeholders, ensuring transparency and informed decision-making. Operational Management and Monitoring: Design monitoring strategies to ensure the continuous availability, performance, and reliability of identity services. Compliance and Risk Management Framework: Design frameworks to ensure compliance with data protection laws and standards (e.g., GDPR, CCPA). Conduct risk assessments and audits to identify and address vulnerabilities. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks. Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives. 12+ years experience in Cybersecurity Architecture Preferred Qualifications- Education & Prior Job Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or a related field; advanced degree preferred. 5+ years' experience in cybersecurity architecture or related roles. Experience designing and implementing comprehensive security architectures and frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their security features. Experience with regulatory compliance and industry standards (e.g., GDPR, PCI-DSS, ISO 27001). Skills, Licenses & Certifications Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Information Systems Auditor (CISA); Certified in Risk and Information Systems Control (CRISC); Certified Information Privacy Professional (CIPP); Certified Information Systems Security Professional - Architecture (CISSP-ISSAP) Proficiency in identity and access management (IAM) tools and technologies Expertise in developing and implementing cybersecurity IAM policies and procedures Knowledge of IAM principles and methodologies Understanding of regulatory requirements and standards related to IAM (e.g., GDPR, HIPAA, SOX) Familiarity with cybersecurity frameworks and standards (e.g., NIST, ISO 27001) Ability to conduct assessments and audits of IAM practices to identify vulnerabilities and gaps Strong problem-solving skills to address IAM management challenges Ability to collaborate effectively with cross-functional teams Experience in managing IAM projects, including planning, execution, and monitoring Proficiency in identity and access management (IAM) solutions (e.g., Saviynt, Okta, Ping Identity, Microsoft Azure AD) Knowledge of authentication protocols (e.g., SAML, OAuth, OpenID Connect, Kerberos) Familiarity with cloud security and cloud IAM (e.g., AWS IAM, Azure AD) Ability to analyze complex security requirements and design effective access management solutions Strong problem-solving skills to address security challenges and incidents Excellent written and verbal communication skills to articulate security concepts and solutions to technical and non-technical stakeholders What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
11/12/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you'll love this job As part of the Identity Services team, you'll help deliver secure digital products that support a reliable and profitable airline. You will design, implement, and care for cybersecurity solutions that protect users, systems, operations, and data, by ensuring strong identity controls such as role based access, authentication, authorization, and governance. This role requires attention to detail, strong problem solving, and high ethical responsibility. The fast paced global airline environment offers opportunities for professional development, continuous growth, and meaningful impact. In the Identity Services domain, you will be responsible for the architecture, design, standards, and patterns for delivering strong identity and access programs. You will be expected to balance technical oversight, and business alignment to secure organization's digital assets while ensuring the team is empowered, the systems are resilient, and the entire operation runs smoothly, effectively, and proactively. Additional information about the skills needed for this position is listed in the Skills, Licenses & Certifications section below. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Identity and Access Management (IAM) Architecture: Design and oversee the architecture and deployment of IAM solutions to manage user identities, roles, and access privileges across the organization's systems and applications. User Provisioning and De-provisioning Framework: Architect and optimize the processes for automating the creation, modification, and removal of user accounts and access rights based on organizational policies and user roles. Security and Governance: Establishing policies for user access, role-based access control (RBAC), and ensuring audit compliance. Designing Secure Architectures: Develop and design secure IT architectures that protect the organization's data, applications, and infrastructure from cyber threats. Collaboration with Stakeholders: Work closely with other IT teams, business units, and external partners to ensure security requirements are understood and implemented effectively. Security Standards and Best Practices: Establish and enforce security standards, guidelines, and best practices across the organization. Leadership: Provide technical guidance and oversight to the engineering team, system owners and customers. Incident Response Planning: Develop and maintain comprehensive incident response plans and procedures to ensure swift and effective handling of security incidents. Monitoring and Auditing Systems: Design and direct the continuous monitoring of IAM systems for suspicious activities, perform regular audits to ensure compliance with security policies, and generate comprehensive reports on access controls and user activities. Communication: Clearly convey project risks and strategies to senior management and stakeholders, ensuring transparency and informed decision-making. Operational Management and Monitoring: Design monitoring strategies to ensure the continuous availability, performance, and reliability of identity services. Compliance and Risk Management Framework: Design frameworks to ensure compliance with data protection laws and standards (e.g., GDPR, CCPA). Conduct risk assessments and audits to identify and address vulnerabilities. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks. Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives. 12+ years experience in Cybersecurity Architecture Preferred Qualifications- Education & Prior Job Experience Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or a related field; advanced degree preferred. 5+ years' experience in cybersecurity architecture or related roles. Experience designing and implementing comprehensive security architectures and frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their security features. Experience with regulatory compliance and industry standards (e.g., GDPR, PCI-DSS, ISO 27001). Skills, Licenses & Certifications Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Information Systems Auditor (CISA); Certified in Risk and Information Systems Control (CRISC); Certified Information Privacy Professional (CIPP); Certified Information Systems Security Professional - Architecture (CISSP-ISSAP) Proficiency in identity and access management (IAM) tools and technologies Expertise in developing and implementing cybersecurity IAM policies and procedures Knowledge of IAM principles and methodologies Understanding of regulatory requirements and standards related to IAM (e.g., GDPR, HIPAA, SOX) Familiarity with cybersecurity frameworks and standards (e.g., NIST, ISO 27001) Ability to conduct assessments and audits of IAM practices to identify vulnerabilities and gaps Strong problem-solving skills to address IAM management challenges Ability to collaborate effectively with cross-functional teams Experience in managing IAM projects, including planning, execution, and monitoring Proficiency in identity and access management (IAM) solutions (e.g., Saviynt, Okta, Ping Identity, Microsoft Azure AD) Knowledge of authentication protocols (e.g., SAML, OAuth, OpenID Connect, Kerberos) Familiarity with cloud security and cloud IAM (e.g., AWS IAM, Azure AD) Ability to analyze complex security requirements and design effective access management solutions Strong problem-solving skills to address security challenges and incidents Excellent written and verbal communication skills to articulate security concepts and solutions to technical and non-technical stakeholders What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Description About Us: Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. The Role Gametime's Post-Order UX & AI Automation team owns everything that happens after a fan completes a purchase - setting the right expectations, delivering tickets reliably, communicating proactively when things change, and building the tools our Fan Operations team uses to support customers efficiently. This PM will own the roadmap for reducing contact rate and cost to serve while raising fan satisfaction, using AI to power both a better self-service experience for fans and better tooling for the internal team who supports them. This role is open to various levels/ titles - Senior Product Manager, Staff Product Manager, or Principal Product Manager - we're hiring for the right person and scope, not a fixed level. What You'll Own Post-order communications: design and streamline the messaging fans receive after purchase - order confirmations, delivery updates, event-change notifications - to set clear expectations and reduce uncertainty Ticket delivery experience: improve the reliability and clarity of ticket delivery to reduce delivery-related complaints and negative reviews AI-powered self-service: build fan-facing AI tools (e.g., conversational support, automated resolution flows) that reduce human contact rate for common post-order issues Agent-assist and internal tooling: build AI-powered tools for our Fan Operations team (e.g., agent-assist, prioritization and routing, automated triage, knowledge retrieval) that reduce handle time and improve resolution quality CSAT: drive improvements in fan satisfaction across the post-order journey Cost to serve: lower the cost of supporting each transaction as volume grows, balancing automation with service quality A roadmap tied directly to contact rate, CSAT, delivery-related complaints, and cost to serve What We're Looking For Common bar: A track record of shipping product changes that moved measurable business outcomes Strong cross-functional partnership skills - you'll work closely with Fan Operations leadership, Engineering, Data, Trust & Safety, and Supply Comfort operating at whatever level you're hired into, from hands-on execution to setting multi-quarter strategy Domain-specific: Experience owning post-purchase experience in a marketplace environment, customer service/support operations, or contact center technology Experience shipping AI or LLM-powered product features, ideally in a support or self-service context Familiarity with support metrics (contact rate, handle time, CSAT, cost to serve) and how product changes move them A data-driven approach - comfort working with SQL/analytics to diagnose where fans get stuck post-purchase At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $169,000-$250,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
11/11/2026
Full time
Job Description Job Description About Us: Live experiences help people cross today's digital divide and focus on what truly connects us - the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. The Role Gametime's Post-Order UX & AI Automation team owns everything that happens after a fan completes a purchase - setting the right expectations, delivering tickets reliably, communicating proactively when things change, and building the tools our Fan Operations team uses to support customers efficiently. This PM will own the roadmap for reducing contact rate and cost to serve while raising fan satisfaction, using AI to power both a better self-service experience for fans and better tooling for the internal team who supports them. This role is open to various levels/ titles - Senior Product Manager, Staff Product Manager, or Principal Product Manager - we're hiring for the right person and scope, not a fixed level. What You'll Own Post-order communications: design and streamline the messaging fans receive after purchase - order confirmations, delivery updates, event-change notifications - to set clear expectations and reduce uncertainty Ticket delivery experience: improve the reliability and clarity of ticket delivery to reduce delivery-related complaints and negative reviews AI-powered self-service: build fan-facing AI tools (e.g., conversational support, automated resolution flows) that reduce human contact rate for common post-order issues Agent-assist and internal tooling: build AI-powered tools for our Fan Operations team (e.g., agent-assist, prioritization and routing, automated triage, knowledge retrieval) that reduce handle time and improve resolution quality CSAT: drive improvements in fan satisfaction across the post-order journey Cost to serve: lower the cost of supporting each transaction as volume grows, balancing automation with service quality A roadmap tied directly to contact rate, CSAT, delivery-related complaints, and cost to serve What We're Looking For Common bar: A track record of shipping product changes that moved measurable business outcomes Strong cross-functional partnership skills - you'll work closely with Fan Operations leadership, Engineering, Data, Trust & Safety, and Supply Comfort operating at whatever level you're hired into, from hands-on execution to setting multi-quarter strategy Domain-specific: Experience owning post-purchase experience in a marketplace environment, customer service/support operations, or contact center technology Experience shipping AI or LLM-powered product features, ideally in a support or self-service context Familiarity with support metrics (contact rate, handle time, CSAT, cost to serve) and how product changes move them A data-driven approach - comfort working with SQL/analytics to diagnose where fans get stuck post-purchase At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $169,000-$250,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
Job Description Job Description About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: As Principal Data Architect, you will define and drive the enterprise data architecture strategy across ParetoHealth, enabling trusted, connected, secure, and AI-ready data products that power business intelligence, advanced analytics, and intelligent automation. You will work across business, product, engineering, analytics, and AI teams to translate complex business needs into scalable data platforms and architectures. You will bring deep expertise in modern data architecture, strong technical judgment, and the ability to navigate complex data ecosystems, ideally within healthcare, health insurance, employee benefits, or financial services. This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution. Key Responsbilities: Enterprise Data Architecture & Strategy Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth's business and technology strategy. Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products. Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange. Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability. Modern Data Platforms & Engineering Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing. Establish patterns for data ingestion, transformation, orchestration, data quality, metadata management, lineage, and observability. Enable interoperable data products and APIs that make trusted data accessible to applications, analytics, and AI systems. Partner with engineering teams to establish best practices for data modeling, platform reliability, performance, security, and cost optimization. Healthcare & Insurance Data Design data architectures that integrate complex, fragmented data across healthcare, health insurance, employee benefits, employer groups, claims, eligibility, provider networks, and financial systems, as applicable. Develop a strong understanding of healthcare benefits and insurance business processes, data entities, and industry-specific interoperability requirements. Enable secure and governed access to sensitive healthcare and personally identifiable information, incorporating HIPAA and other applicable regulatory and privacy requirements. Translate complex healthcare and insurance data into consistent, usable models that support business operations, financial analysis, cost transparency, and better decision-making. AI, Analytics & Data Products Build an AI-ready data foundation that enables machine learning, generative AI, agentic workflows, and intelligent automation. Define architectures for high-quality, contextual, discoverable, and governed data that can be safely consumed by AI applications. Partner with data science, analytics, product, and engineering teams to enable predictive insights, operational intelligence, and data-driven product innovation. Establish data product principles that emphasize business ownership, trusted metrics, reusability, and measurable business outcomes. Technical Leadership & Governance Serve as a trusted technical advisor to engineering, product, business, security, and executive stakeholders. Define architectural standards, reference architectures, design principles, and technical roadmaps. Drive alignment across teams and influence decisions without relying solely on formal authority. Mentor senior engineers and data architects, raise the bar for technical excellence, and foster a culture of accountability and continuous improvement. Required Qualifications / Skills: 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with demonstrated experience leading enterprise-scale architecture. Proven track record designing and implementing modern cloud data platforms and complex data integration architectures. Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design. Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools. Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security. Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases. Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders. Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes. Preferred Qualifications: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems. Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats. Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements. Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration. Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation. Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow's needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services . click apply for full job details
11/11/2026
Full time
Job Description Job Description About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: As Principal Data Architect, you will define and drive the enterprise data architecture strategy across ParetoHealth, enabling trusted, connected, secure, and AI-ready data products that power business intelligence, advanced analytics, and intelligent automation. You will work across business, product, engineering, analytics, and AI teams to translate complex business needs into scalable data platforms and architectures. You will bring deep expertise in modern data architecture, strong technical judgment, and the ability to navigate complex data ecosystems, ideally within healthcare, health insurance, employee benefits, or financial services. This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution. Key Responsbilities: Enterprise Data Architecture & Strategy Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth's business and technology strategy. Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products. Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange. Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability. Modern Data Platforms & Engineering Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing. Establish patterns for data ingestion, transformation, orchestration, data quality, metadata management, lineage, and observability. Enable interoperable data products and APIs that make trusted data accessible to applications, analytics, and AI systems. Partner with engineering teams to establish best practices for data modeling, platform reliability, performance, security, and cost optimization. Healthcare & Insurance Data Design data architectures that integrate complex, fragmented data across healthcare, health insurance, employee benefits, employer groups, claims, eligibility, provider networks, and financial systems, as applicable. Develop a strong understanding of healthcare benefits and insurance business processes, data entities, and industry-specific interoperability requirements. Enable secure and governed access to sensitive healthcare and personally identifiable information, incorporating HIPAA and other applicable regulatory and privacy requirements. Translate complex healthcare and insurance data into consistent, usable models that support business operations, financial analysis, cost transparency, and better decision-making. AI, Analytics & Data Products Build an AI-ready data foundation that enables machine learning, generative AI, agentic workflows, and intelligent automation. Define architectures for high-quality, contextual, discoverable, and governed data that can be safely consumed by AI applications. Partner with data science, analytics, product, and engineering teams to enable predictive insights, operational intelligence, and data-driven product innovation. Establish data product principles that emphasize business ownership, trusted metrics, reusability, and measurable business outcomes. Technical Leadership & Governance Serve as a trusted technical advisor to engineering, product, business, security, and executive stakeholders. Define architectural standards, reference architectures, design principles, and technical roadmaps. Drive alignment across teams and influence decisions without relying solely on formal authority. Mentor senior engineers and data architects, raise the bar for technical excellence, and foster a culture of accountability and continuous improvement. Required Qualifications / Skills: 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with demonstrated experience leading enterprise-scale architecture. Proven track record designing and implementing modern cloud data platforms and complex data integration architectures. Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design. Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools. Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security. Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases. Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders. Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes. Preferred Qualifications: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems. Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats. Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements. Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration. Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation. Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow's needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services . click apply for full job details
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
Job Description Job Description Level: Principal / Staff (individual contributor) The most senior engineer on the team and the technical anchor for the platform. You design the reference architecture and personally build the hardest pieces - the lifecycle registries, the AI control-plane services that plug into the enterprise gateway, and the harness/memory services - setting the patterns the rest of the pod extends. What You Will Do • Own the paved road - the reference architecture and the reusable registration pattern behind every asset (registration schema, semantic metadata, I/O contract, execution binding, governance constraints) so the agent, model, tool, workflow and skill registries all share one shape. • Personally build the hardest pieces - the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services. • Build the agent-building paved road - the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect provision implement test sub-agent deploy post-process log). • Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) - so the platform builds and operates itself, not just exposes CRUD APIs. • Enforce portability in code - containerize everything; standardize lineage on MLflow metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed. • Set the engineering bar - testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers. • Build with AI and build agents end to end - like everyone on the team. What We're Looking For - Required Qualifications • Principal-level full-stack - you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production. • Distributed systems & platform engineering - Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design. • Cloud depth with a portable mindset - strong on GCP (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct. • Hands-on GenAI / agentic engineering - LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents. • Security & governance by design - identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability. • AI-assisted engineering - fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them. • Strong software engineering background - strong Python (and typically one of Go / Java / TypeScript).
11/11/2026
Full time
Job Description Job Description Level: Principal / Staff (individual contributor) The most senior engineer on the team and the technical anchor for the platform. You design the reference architecture and personally build the hardest pieces - the lifecycle registries, the AI control-plane services that plug into the enterprise gateway, and the harness/memory services - setting the patterns the rest of the pod extends. What You Will Do • Own the paved road - the reference architecture and the reusable registration pattern behind every asset (registration schema, semantic metadata, I/O contract, execution binding, governance constraints) so the agent, model, tool, workflow and skill registries all share one shape. • Personally build the hardest pieces - the lifecycle registries; the AI control-plane services that plug into the enterprise gateway (registries, PII/PHI and prompt-injection scanning as a gateway policy, token-aware metering and multi-vendor cost attribution, AI trace/observability, and the multi-provider model-abstraction layer behind its fail-over); and the harness/memory & skills services. • Build the agent-building paved road - the scaffolds, patterns and sub-agent topologies the team uses to stand up new agents fast, including the end-to-end builder agent (architect provision implement test sub-agent deploy post-process log). • Deliver platform features as agents where it fits (e.g. a lifecycle-management agent, a skills-planning agent) - so the platform builds and operates itself, not just exposes CRUD APIs. • Enforce portability in code - containerize everything; standardize lineage on MLflow metadata, telemetry on OpenTelemetry, table formats on Delta UniForm / Iceberg, and open-weight serving on vLLM/Ray/DeepSpeed. • Set the engineering bar - testing, CI/CD, IaC and security-by-default standards; review the team's hardest designs and pull requests; mentor the senior engineers. • Build with AI and build agents end to end - like everyone on the team. What We're Looking For - Required Qualifications • Principal-level full-stack - you build production services end to end (backend, APIs, and enough frontend to ship the registry and dev UIs) and you own systems in production. • Distributed systems & platform engineering - Kubernetes, containers, IaC (Terraform), CI/CD, secrets/RBAC, and multi-tenant service design. • Cloud depth with a portable mindset - strong on GCP (GKE, Vertex AI, IAM, VPC Service Controls, BigQuery), but standards-first by instinct. • Hands-on GenAI / agentic engineering - LLM and agent runtimes, multi-agent and sub-agent orchestration, A2A and MCP/tool integration, retrieval/RAG, memory systems, and end-to-end builder agents. • Security & governance by design - identity-aware access, PII/PHI handling, runtime guardrails, gateway/policy-as-code, and audit/observability. • AI-assisted engineering - fluent and effective with AI coding tools (Cursor, Claude Code, Copilot, Windsurf or equivalent), and able to define the patterns and review discipline the team uses with them. • Strong software engineering background - strong Python (and typically one of Go / Java / TypeScript).
Job Description Job Description About Spokeo Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud. Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. Comparably has recognized it as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership. About This Opportunity Every Spokeo search result depends on one decision: do these records describe the same person, and how sure are we? You will build the models that make that call, on messy data from many vendors and public sources, where there is no answer key to check against. You will own a modeling problem from the first question to the production release, and you will see your work change what customers see. The Data Science team is small, so you work directly with the Director of Data Science and the product owners. If you like designing the test as much as building the model, and you want to mentor teammates as the team grows, this is the place to do it. What You'll Do: Rough share of your time, subject to change. 35%: Build and improve the models that match records and score how confident we are in each result. You will choose the approach, train it, test it honestly on held-out data, and ship it. 20%: Design the labels and the measurement. Decide what to hand-check, build the evaluation sets, and estimate how often we are right when a full answer key does not exist. This includes using AI models to help label at scale, and checking them against human judgment. 15%: Take models to production on AWS, with ML engineering and DevOps. That covers the retrain schedule, the model registry, and a record of where every model and its data came from. 10%: Review each data build before it ships. Find what changed, catch regressions, and explain it in plain language to product and sales partners. 10%: Work with the Product Owner to turn findings into stories with clear targets, and defend the priority of the next research spike. 10%: Document your methods, review teammates' code, and take part in the DS/ML working group. Tools. What you will work with: Python, SQL, Spark, AWS SageMaker, Databricks, and MLflow. Challenges. Noisy and incomplete records, no large hand-labeled set to lean on, and opt-out and retention rules that every model must respect. People. The Director of Data Science, product owners, ML engineers, DevOps, and the DS/ML working group. Who You Are: What you have done matters more than the tools you have touched. Equivalent experience counts. Required: 6+ years of applied data science, though what you have shipped matters more than the count. Required: A Bachelor's degree in a quantitative field is expected, and a master's is preferred, or equivalent professional experience. Taken a model from idea to production in a cloud setting (AWS SageMaker, Databricks, MLflow, or similar), monitored it, and measured how it performed after launch. Worked with very large datasets (100 million rows or more) using Spark or a similar tool, with Python and SQL. Judged whether a model is good when no clean answer key exists, for example by sampling and hand-checking results, and said how confident you are in the number. Told a real improvement from noise, and explained the result, its limits, and the tradeoffs in plain language to engineers and product owners alike. Kept a model healthy as its data changed: knowing when labels and models have gone out of date and need refreshing, and writing the process down so a teammate can pick it up. Handled personal data responsibly, following opt-out, retention, and lineage rules without being reminded. Experience matching or de-duplicating records, using AI to help label data, graph methods, or turning a raw model score into a confidence a product team can act on, is a plus. Working at Spokeo Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality. As a remote-first company, we can hire team members in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY. In addition to a highly competitive base salary, our generous benefits include: annual bonus program stock options 401K matching 100% medical/dental/vision coverage unlimited PTO mental health resources paid home office equipment fitness reimbursements support paying for courses and more We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills. Privacy Notice for Candidates: -policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution. Use of Artificial Intelligence in Our Hiring Process Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review. AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.
11/11/2026
Full time
Job Description Job Description About Spokeo Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud. Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. Comparably has recognized it as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership. About This Opportunity Every Spokeo search result depends on one decision: do these records describe the same person, and how sure are we? You will build the models that make that call, on messy data from many vendors and public sources, where there is no answer key to check against. You will own a modeling problem from the first question to the production release, and you will see your work change what customers see. The Data Science team is small, so you work directly with the Director of Data Science and the product owners. If you like designing the test as much as building the model, and you want to mentor teammates as the team grows, this is the place to do it. What You'll Do: Rough share of your time, subject to change. 35%: Build and improve the models that match records and score how confident we are in each result. You will choose the approach, train it, test it honestly on held-out data, and ship it. 20%: Design the labels and the measurement. Decide what to hand-check, build the evaluation sets, and estimate how often we are right when a full answer key does not exist. This includes using AI models to help label at scale, and checking them against human judgment. 15%: Take models to production on AWS, with ML engineering and DevOps. That covers the retrain schedule, the model registry, and a record of where every model and its data came from. 10%: Review each data build before it ships. Find what changed, catch regressions, and explain it in plain language to product and sales partners. 10%: Work with the Product Owner to turn findings into stories with clear targets, and defend the priority of the next research spike. 10%: Document your methods, review teammates' code, and take part in the DS/ML working group. Tools. What you will work with: Python, SQL, Spark, AWS SageMaker, Databricks, and MLflow. Challenges. Noisy and incomplete records, no large hand-labeled set to lean on, and opt-out and retention rules that every model must respect. People. The Director of Data Science, product owners, ML engineers, DevOps, and the DS/ML working group. Who You Are: What you have done matters more than the tools you have touched. Equivalent experience counts. Required: 6+ years of applied data science, though what you have shipped matters more than the count. Required: A Bachelor's degree in a quantitative field is expected, and a master's is preferred, or equivalent professional experience. Taken a model from idea to production in a cloud setting (AWS SageMaker, Databricks, MLflow, or similar), monitored it, and measured how it performed after launch. Worked with very large datasets (100 million rows or more) using Spark or a similar tool, with Python and SQL. Judged whether a model is good when no clean answer key exists, for example by sampling and hand-checking results, and said how confident you are in the number. Told a real improvement from noise, and explained the result, its limits, and the tradeoffs in plain language to engineers and product owners alike. Kept a model healthy as its data changed: knowing when labels and models have gone out of date and need refreshing, and writing the process down so a teammate can pick it up. Handled personal data responsibly, following opt-out, retention, and lineage rules without being reminded. Experience matching or de-duplicating records, using AI to help label data, graph methods, or turning a raw model score into a confidence a product team can act on, is a plus. Working at Spokeo Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality. As a remote-first company, we can hire team members in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY. In addition to a highly competitive base salary, our generous benefits include: annual bonus program stock options 401K matching 100% medical/dental/vision coverage unlimited PTO mental health resources paid home office equipment fitness reimbursements support paying for courses and more We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills. Privacy Notice for Candidates: -policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution. Use of Artificial Intelligence in Our Hiring Process Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review. AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.
Expert In Recruitment Solutions
Summit, New Jersey
Job Description Job Description Title- sr. automation engineer Location: laurel, MD contract: 6 month contract to hire days on site: 3 days onsite mandatory interview process: 1 hour video interview then MANDATORY face to face interview must haves: Bachelors Degree Strong development background (critical cannot be purely functional or managerial) Deep, hands-on experience building automations using: UiPath (strongly preferred) Experience across: Attended bots AND unattended bots Document Understanding (DU) within UiPath Leadership experience - this person will be a leader to the growing automation team As of right now there is no one on the team so they would be the first hire. The Senior Automation Engineer is responsible for solutioning, implementing, and maintaining automated solutions that improve process and system efficiency, reliability, and scalability across the credit union. This role provides technical leadership in automation frameworks, tools, and processes, Collaborating closely with cross-functional teams to streamline and optimize workflows, enhance automation quality, and support business objectives. The Senior Automation Engineer not only architects automation solutions but also builds them when needed, ensuring alignment with organizational standards and security requirements. This position provides mentorship to junior engineers, promotes best practices across projects, and delivers timely technical guidance to support ongoing initiatives. Working in conjunction with the AVP, Automation Services, the Senior Automation Engineer also helps assign, coordinate, and oversee daily activities within the Automation Services department, ensuring effective execution of priorities and continuous improvement of automation capabilities throughout the credit union. Principal Accountabilities and Functions Leads the design and implementation of robust, scalable automation frameworks and solutions including AI capabilities where applicable. Serve as a subject matter expert in automation methodologies, patterns, and tools. Owns the automation platform and responsible for monitoring, troubleshooting, and resolving automation-related issues to maintain high availability and help business continuity. Mentor and coach junior engineers on automation best practices, coding standards, and problem- solving approaches. Ensures cross-training and support coverage for Tower's automation infrastructure. Collaborate with the AVP, Automation Services to assign, coordinate, and oversee daily work activities within the Automation Services team.workflows, and business processes. Serves as a subject matter expert (SME) in automation technologies and methodologies by researching and recommending emerging automation tools and practices. Review PDDs and create PDDD as needed. Create the SDD and DSD as a solution architect. Provide guidance on coding standards, tooling, architecture, and strategic automation direction. Support planning, prioritization, and execution of automation initiatives. Performs related duties when delegated. Required Qualifications Bachelor's degree in computer science, engineering, or a related technical discipline. Five to eight years of relevant and successful experience in automation engineering, test automation, DevOps, or related areas. Proven track record of designing and implementing complex automation solutions at scale. Strong programming skills (e.g., Python, Java, C#, JavaScript). Experience with automation frameworks such RE Framework and DU Framework. Expertise with Automation technologies (e.g., UiPath, BluePrism, Automation Anywhere). Preferably UiPath. Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions). Familiarity with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms ( Azure) and infrastructure automation Experience with performance testing tools (JMeter, LoadRunner, Selenium) and monitoring solutions. Preferably experience with Test Automation and Test Manager in UiPath Or equivalent combination of education and experience Knowledge, Skills and Abilities Deep knowledge of automation frameworks, programming languages, CI/CD pipelines, and system integrations. Awareness of all available capabilities in UiPath. Understanding of infrastructure, automation platform, test automation, testing methodologies, operational workflows, and line-of-business processes relevant to automation opportunities. Strong familiarity with monitoring, logging, performance testing, and reporting automation. Expertise in automation technologies, preferably UiPath and methodologies, serving as a subject matter expert (SME). Knowledge of Document Understanding, error handling, dependency management, safe rollback practices, and integration patterns (aligned with other Tower engineering competencies). Ability to develop, maintain, and optimize automation scripts, pipelines, and integrations with high levels of maintainability and stability Strong problem-solving and troubleshooting skills, including diagnosing automation failures and implementing durable fixes. Skill in system performance monitoring, tuning, and reliability engineering for automated workloads. Proficiency in technical communication, including clear design notes, architecture documentation, and status reporting (consistent with broader engineering expectations). Effective collaboration skills, working with VP/AVP leadership, business systems teams, and cross-functional stakeholders to align automation strategy. Strong mentorship skills, coaching junior engineers on best practices, coding standards, and engineering discipline. Ability to design and implement scalable, resilient automation solutions that meet enterprise-level reliability and performance requirements. Ability to identify and evaluate automation opportunities across multiple domains including infrastructure, testing, business processes, and operational workflows. Capacity to lead and oversee daily work activities within the Automation Services department together with the AVP, ensuring effective execution of priorities Ability to troubleshoot complex automation issues, use structured analysis, and derive long-term solutions. Ability to serve as a strategic technical resource, influencing automation strategy and advocating for best practices across the engineering organization. Ability to design for operability, including monitoring, alerting, logging, dependency management, and rollback strategies (reinforced by patterns across Tower engineering roles).
11/11/2026
Full time
Job Description Job Description Title- sr. automation engineer Location: laurel, MD contract: 6 month contract to hire days on site: 3 days onsite mandatory interview process: 1 hour video interview then MANDATORY face to face interview must haves: Bachelors Degree Strong development background (critical cannot be purely functional or managerial) Deep, hands-on experience building automations using: UiPath (strongly preferred) Experience across: Attended bots AND unattended bots Document Understanding (DU) within UiPath Leadership experience - this person will be a leader to the growing automation team As of right now there is no one on the team so they would be the first hire. The Senior Automation Engineer is responsible for solutioning, implementing, and maintaining automated solutions that improve process and system efficiency, reliability, and scalability across the credit union. This role provides technical leadership in automation frameworks, tools, and processes, Collaborating closely with cross-functional teams to streamline and optimize workflows, enhance automation quality, and support business objectives. The Senior Automation Engineer not only architects automation solutions but also builds them when needed, ensuring alignment with organizational standards and security requirements. This position provides mentorship to junior engineers, promotes best practices across projects, and delivers timely technical guidance to support ongoing initiatives. Working in conjunction with the AVP, Automation Services, the Senior Automation Engineer also helps assign, coordinate, and oversee daily activities within the Automation Services department, ensuring effective execution of priorities and continuous improvement of automation capabilities throughout the credit union. Principal Accountabilities and Functions Leads the design and implementation of robust, scalable automation frameworks and solutions including AI capabilities where applicable. Serve as a subject matter expert in automation methodologies, patterns, and tools. Owns the automation platform and responsible for monitoring, troubleshooting, and resolving automation-related issues to maintain high availability and help business continuity. Mentor and coach junior engineers on automation best practices, coding standards, and problem- solving approaches. Ensures cross-training and support coverage for Tower's automation infrastructure. Collaborate with the AVP, Automation Services to assign, coordinate, and oversee daily work activities within the Automation Services team.workflows, and business processes. Serves as a subject matter expert (SME) in automation technologies and methodologies by researching and recommending emerging automation tools and practices. Review PDDs and create PDDD as needed. Create the SDD and DSD as a solution architect. Provide guidance on coding standards, tooling, architecture, and strategic automation direction. Support planning, prioritization, and execution of automation initiatives. Performs related duties when delegated. Required Qualifications Bachelor's degree in computer science, engineering, or a related technical discipline. Five to eight years of relevant and successful experience in automation engineering, test automation, DevOps, or related areas. Proven track record of designing and implementing complex automation solutions at scale. Strong programming skills (e.g., Python, Java, C#, JavaScript). Experience with automation frameworks such RE Framework and DU Framework. Expertise with Automation technologies (e.g., UiPath, BluePrism, Automation Anywhere). Preferably UiPath. Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions). Familiarity with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms ( Azure) and infrastructure automation Experience with performance testing tools (JMeter, LoadRunner, Selenium) and monitoring solutions. Preferably experience with Test Automation and Test Manager in UiPath Or equivalent combination of education and experience Knowledge, Skills and Abilities Deep knowledge of automation frameworks, programming languages, CI/CD pipelines, and system integrations. Awareness of all available capabilities in UiPath. Understanding of infrastructure, automation platform, test automation, testing methodologies, operational workflows, and line-of-business processes relevant to automation opportunities. Strong familiarity with monitoring, logging, performance testing, and reporting automation. Expertise in automation technologies, preferably UiPath and methodologies, serving as a subject matter expert (SME). Knowledge of Document Understanding, error handling, dependency management, safe rollback practices, and integration patterns (aligned with other Tower engineering competencies). Ability to develop, maintain, and optimize automation scripts, pipelines, and integrations with high levels of maintainability and stability Strong problem-solving and troubleshooting skills, including diagnosing automation failures and implementing durable fixes. Skill in system performance monitoring, tuning, and reliability engineering for automated workloads. Proficiency in technical communication, including clear design notes, architecture documentation, and status reporting (consistent with broader engineering expectations). Effective collaboration skills, working with VP/AVP leadership, business systems teams, and cross-functional stakeholders to align automation strategy. Strong mentorship skills, coaching junior engineers on best practices, coding standards, and engineering discipline. Ability to design and implement scalable, resilient automation solutions that meet enterprise-level reliability and performance requirements. Ability to identify and evaluate automation opportunities across multiple domains including infrastructure, testing, business processes, and operational workflows. Capacity to lead and oversee daily work activities within the Automation Services department together with the AVP, ensuring effective execution of priorities Ability to troubleshoot complex automation issues, use structured analysis, and derive long-term solutions. Ability to serve as a strategic technical resource, influencing automation strategy and advocating for best practices across the engineering organization. Ability to design for operability, including monitoring, alerting, logging, dependency management, and rollback strategies (reinforced by patterns across Tower engineering roles).
Job Description Job Description About Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We're looking for a Backend Engineer to design and scale the systems that power Collate's products. You'll build the APIs, services, and infrastructure that form the foundation of our platform, ensuring they are performant, reliable, and secure as we grow from prototypes to large-scale deployment. This role is ideal for someone who enjoys solving complex systems problems, thrives in an early-stage environment, and wants to see their work directly enable breakthroughs in life sciences. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models. What You'll Do Design and build backend services, APIs, and data pipelines that support Collate's products. Ensure systems are performant, secure, and reliable at scale. Collaborate with product, design, and ML teams to turn ideas into production-ready features. Build internal tools and workflows that accelerate engineering productivity. Continuously improve backend architecture to support rapid growth and new capabilities. What We're Looking For Experience designing and scaling backend systems in production. Strong skills in building APIs and services, with attention to reliability and performance. Comfort working across the stack when needed, with a focus on backend depth. Ability to move quickly while building for long-term maintainability. Excitement to work in an early-stage startup where ownership is high and impact is immediate. A collaborative, humble approach and eagerness to learn whatever is needed to solve the problem Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is depending on experience and level (Tier 1, San Francisco) SWE: $158-200K; Senior SWE: $188-250K; Staff SWE: $228-296K; Principal $275-325K We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/11/2026
Full time
Job Description Job Description About Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We're looking for a Backend Engineer to design and scale the systems that power Collate's products. You'll build the APIs, services, and infrastructure that form the foundation of our platform, ensuring they are performant, reliable, and secure as we grow from prototypes to large-scale deployment. This role is ideal for someone who enjoys solving complex systems problems, thrives in an early-stage environment, and wants to see their work directly enable breakthroughs in life sciences. Modern Tech Stack Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models. What You'll Do Design and build backend services, APIs, and data pipelines that support Collate's products. Ensure systems are performant, secure, and reliable at scale. Collaborate with product, design, and ML teams to turn ideas into production-ready features. Build internal tools and workflows that accelerate engineering productivity. Continuously improve backend architecture to support rapid growth and new capabilities. What We're Looking For Experience designing and scaling backend systems in production. Strong skills in building APIs and services, with attention to reliability and performance. Comfort working across the stack when needed, with a focus on backend depth. Ability to move quickly while building for long-term maintainability. Excitement to work in an early-stage startup where ownership is high and impact is immediate. A collaborative, humble approach and eagerness to learn whatever is needed to solve the problem Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is depending on experience and level (Tier 1, San Francisco) SWE: $158-200K; Senior SWE: $188-250K; Staff SWE: $228-296K; Principal $275-325K We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Tester is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients' existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 1-2 years of experience in wiring and assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 years of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required. Values Safety Focus : Prioritize safety in all actions. Actively follow safety protocols, identify potential hazards, and take immediate steps to correct or report unsafe conditions. Model safe behavior for others and contribute to a culture of workplace safety. Have Humanity : Respect the input and ideas of everyone to create the best possible outcome. Be Transparent : Value transparency in all interactions, ensuring honesty and openness with each stakeholder. Drive Innovation : Seek new ways to improve and take on new challenges. Be Resilient : Adapt to the ever-evolving business needs enabled by resourcefulness and agility. Always Reliable : Deliver on your commitments and achieve your goals. Show up to work on time and complete your assigned tasks. Grit: Learn new things, actively seek feedback, and training. Ownership Mindset: Take full responsibility for the quality and efficiency of your work. Proactively identify issues, offer solutions, and follow through. Treat company resources and goals as your own Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility: Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity: Occasional use of hands to handle or feel objects, tools, or controls. Lifting: Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements: Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we don't accept unsolicited resumes from agencies at this time. If we ever need an extra hand, we'll be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC).
11/11/2026
Full time
Job Description Job Description Company Description Mission Critical Group (MCG ) is an end-to-end power solutions and services provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical environments. By integrating engineering, manufacturing, modular deployment, and lifecycle services under one platform, we streamline execution and bring complex projects online faster - without compromising performance. With a robust U.S. manufacturing network, MCG supports data centers, power generation, healthcare, oil & gas, pharmaceuticals, semiconductors, and industrial facilities where uptime is non-negotiable. Mission Critical Group designs, manufactures and provides value-added services for customers requiring critical power solutions. Powering a new electric world for a brighter, more secure future. Job Description The Tester is responsible for performing testing and troubleshooting during the final assembly phase of electrical control and distribution equipment prior to customer delivery. This role ensures product quality, compliance, and optimal functionality by verifying that all assemblies meet engineering specifications, customer requirements, and applicable industry standards. The Testing Technician works closely with production, engineering, and quality teams to identify and resolve issues before shipment. Accountabilities Demonstrate technical skills regarding performing diagnostics, troubleshooting, and testing for reliability on Low, Medium, and Arc-Resistant switchgear and electrical control equipment using tools such as multimeters etc. Verify and document HIPOT tests on copper bus. Ensure final product is consistent with technical schematics, perform basic device programming, and repair all custom-built equipment prior to client shipment as a measure of quality control. Perform Factory Acceptance Tests to show the functionality of Mission Critical Group products and advise of interfacing capabilities with clients' existing equipment under the direction of senior team members. Identify functionality or defects through visual and electrical inspections on power distribution equipment and assist senior team members with maintenance or repairs within testing guidelines. Assist senior team members with design verifications and product reliability demonstrations during client witness testing activities under supervision. Perform other duties as assigned. Qualifications Required knowledge/Experience 1-2 years of experience in wiring and assembling electrical control and distribution equipment, preferably in a switchgear or industrial manufacturing environment. Working knowledge of engineering principles, techniques, and procedures as applied to the design and production of electrical equipment. Understanding raw materials, production processes, and manufacturing techniques. Knowledge of design techniques, tools, and principals involved in the production of technical plans, blueprints, drawings, and models. Knowledge of machines and tools, including their designs, uses, repair, and maintenance. Testing tools include MPRT, secondary injection units, digital ratiometers, CT testers, digital multimeters, Fluke meters, AC and DC high-potential testers, high-voltage testers, basic hand tools, and testing jumpers. Proficiency with computer hardware and software, including Microsoft Office Suite. Intermediate written and verbal communication skills, including the ability to read and interpret technical procedures, write reports and correspondence, and present information to managers and customers. Solid mathematical skills, including the ability to calculate figures, proportions, and measurements. Strong attention to quality with the ability to follow procedures carefully and strive for accuracy in all work. Self-motivated with the ability to identify and resolve issues independently while maintaining adherence to guidelines and procedures. Ability to work collaboratively with peers, leadership, and cross-functional teams. Customer-oriented with a proactive approach to supporting internal and external needs. Preferred 1 years of experience troubleshooting electrical and mechanical systems Education High School Diploma or GED required. Values Safety Focus : Prioritize safety in all actions. Actively follow safety protocols, identify potential hazards, and take immediate steps to correct or report unsafe conditions. Model safe behavior for others and contribute to a culture of workplace safety. Have Humanity : Respect the input and ideas of everyone to create the best possible outcome. Be Transparent : Value transparency in all interactions, ensuring honesty and openness with each stakeholder. Drive Innovation : Seek new ways to improve and take on new challenges. Be Resilient : Adapt to the ever-evolving business needs enabled by resourcefulness and agility. Always Reliable : Deliver on your commitments and achieve your goals. Show up to work on time and complete your assigned tasks. Grit: Learn new things, actively seek feedback, and training. Ownership Mindset: Take full responsibility for the quality and efficiency of your work. Proactively identify issues, offer solutions, and follow through. Treat company resources and goals as your own Work Environment and Physical Demands This is a FLSA non-exempt position paid on an hourly basis. Overtime may be required based on production demands, including extended shifts, weekends, or holidays. This role is based on the production floor. The position requires standing for extended periods, working around machinery, and adherence to all safety and compliance standards. Mobility: Ability to move around the manufacturing plant, including walking, standing, and climbing stairs. Manual Dexterity: Occasional use of hands to handle or feel objects, tools, or controls. Lifting: Ability to lift and carry items up to fifty (50) pounds. All lifting should be done following OSHA standards. Visual and Auditory Requirements: Must be able to see and hear well enough to navigate the plant safely and communicate effectively with team members. Additional Information A Note to our Recruitment Partners: We really appreciate the interest, but MCG currently manages hiring through our internal team. We love getting to know our candidates directly! Because of this, we don't accept unsolicited resumes from agencies at this time. If we ever need an extra hand, we'll be sure to reach out to the community. Thanks for understanding! MCG is an equal opportunity employer prohibiting discrimination based on race, color, creed, religion, sex, marital status, physical or mental disability, and any other protected classes stated by applicable federal and state laws. MCG is committed to providing equal employment opportunities to qualified individuals with disabilities and to act in accordance with regulations and guidance issued by the Equal Employment Opportunity Commission (EEOC).
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
11/11/2026
Full time
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
11/11/2026
Full time
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.
11/11/2026
Full time
Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders. Key Responsibilities Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms. Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders. Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators. Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards. Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements. Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure. Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders. Required Qualifications U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Bachelor's degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated. Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration. Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required. Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams. Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction. Preferred Qualifications Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements. Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance. Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design. Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams. Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
11/11/2026
Full time
Job Description Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack. Armed with a strong sense of product, you will ensure our technical investments directly translate into downstream value, accelerating edge-case discovery, reducing engineering costs, and improving the final autonomous driving product. You will tackle highly complex, ambiguous problems, creating clarity and defining objectives that pay future dividends for the entire company. By championing deep cross-team collaboration, you will seamlessly connect ML capabilities with our Autonomy and Infrastructure organizations, breaking down silos to ensure smooth execution. Operating at the highest levels of technical maturity, you will solve the hardest technical challenges that few others can, setting the standard for state-of-the-art model distillation, advanced alignment techniques, automated agentic reasoning workflows, and the ultra-efficient deployment of billion-parameter models. What You'll Do: Set the Technical Direction for Data Mining: Define the multi-year ML roadmap for our multimodal data-mining platform (Omnitag). Turn complex, ambiguous problems into clear objectives, balancing long-term foundational investments (e.g., agentic pipelines) with short-term tactical goals to drive maximum impact. Build the Data Flywheel: Own the full lifecycle of our ML data pipelines to close the active-learning loop. You will align massive multimodal teacher models and distill them into efficient student models for exabyte-scale search, accelerating model error diagnosis and reducing compute costs for automated curation. Architect Massive-Scale Systems & Tackle the Hardest Challenges: Design the architecture for applying billion-parameter models to real-world AV logs. As the lead implementer for our toughest technical bottlenecks, you will push the boundaries of parameter-efficient fine-tuning, optimize inference latency for large-scale retrieval, and build RL-driven reasoning systems-all while proactively managing system reliability and cloud footprint. Champion Cross-Functional Initiatives: Act as the technical bridge between Data Mining, Autonomy, and Infrastructure. Armed with a strong product sense, you will deeply understand the edge cases the autonomy stack needs to solve next and coordinate phased rollouts to seamlessly integrate new discovery capabilities into the core AV development loop. Lead and Grow a High-Performing Pod: Serve as a hands-on player-coach, directly guiding up to 3 engineers. Delegate ownership, coach your team to deliver state-of-the-art implementations, and advocate for tooling and practices that elevate developer productivity and reinforce Motional's culture of engineering excellence. What We're Looking For (Must-Haves): BS in Computer Science, Machine Learning, or a related field, or equivalent professional experience. 12+ years of hands-on machine learning engineering experience, with a proven track record of owning the end-to-end development cycle of enterprise-scale ML systems, from experiment design through infrastructure, testing, rollout, monitoring, and iteration. Exceptional technical maturity, with a track record of building and shipping impact that is innovative, broad in reach (affecting many teams or orgs), and pays future dividends for the company. Proven ability to solve technical problems that few others can, the person others seek out for complex ML infrastructure, deep learning architectures, and production optimization. Deep experience training large-scale models from the ground up, including distributed training across multi-node GPU clusters, data pipeline and curation strategy, scaling and evaluation methodology, and the practical debugging of large training runs. Demonstrated ownership of a technical roadmap for a team or problem area, including balancing competing objectives (impact, quality, engineering time, compute cost) and making deliberate tradeoffs between long-term foundational investment and short-term tactical goals. Ability to create clarity from ambiguous, complex problems, decomposing them concisely, defining objectives, and establishing measures of progress for yourself and your team. Deep, generalist ML expertise spanning massive-scale model training, hardware-optimized deployment, and production ML orchestration in cloud environments (AWS, GCP, or Azure). Experience leading cross-team initiatives, including coordinating phased rollouts and migrations across dependent teams, and mentoring engineers to raise the bar around you. Strong oral and written communication skills. You can clearly explain complex technical problems using data and analysis, and communicate proposals in a way that earns buy-in and creates alignment. Bonus Points (Nice-to-Haves): MS/PhD in Computer Science, Machine Learning, or a related field. Experience as a Tech Lead Manager (TLM) or in direct people management, coaching and growing small teams of 2-3 engineers. Background in autonomous driving, robotics, or complex real-time decision-making systems. Experience with massive-scale ML data mining, multimodal foundation models, and embodied AI. Hands-on experience pretraining or post-training a foundation model, data curation at scale, pretraining or continued-pretraining recipes, SFT/RLHF or other alignment methods, and evaluation harness design. Experience with model compression and adaptation at scale, knowledge distillation (teacher/student), parameter-efficient fine-tuning, or quantization for high-throughput inference. Experience with large-scale retrieval or search systems, or RL for reasoning and decision-making. Deep knowledge of enterprise model serving (TF Serving, Triton, TorchServe) and modern MLOps platforms. Experience building agentic pipelines or LLM-driven reasoning and tool-use workflows. A strong portfolio of publications, patents, or significant open-source contributions that demonstrates influence on the broader engineering community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $240,000-$330,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law . click apply for full job details
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
11/11/2026
Full time
Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Principal Data Scientist is the senior technical and scientific leader for AbbVie's omnichannel engagement analytics, a data and analytics-driven engagement optimization program spanning channel mix, content, field representative call planning, and orchestration. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role sets the multi-year science vision for personalized commercial engagement and is accountable for the technical strategy, methodology, and scientific rigor of the AI/ML and statistical solutions that power it. Reporting to the Associate Director, Data Science, the Principal is a thought partner to commercial and analytics leadership: shaping which problems are worth solving, forming and defending a point of view on how AI creates measurable business value, and partnering with product owners to turn that vision into scalable solutions. The role combines deep, hands-on expertise in applied machine learning, generative AI, causal inference, and experimentation with the consultative skill to align a complex stakeholder ecosystem around the right answer. Key Responsibilities Define the Data Science vision: Own the multi-year Data Science vision and technical roadmap for omnichannel engagement analytics, anticipating where both the business and the field of AI are heading. Shape how AI creates business value: identify, size, and prioritize opportunities where AI can drive measurable commercial impact, build the business case, and influence senior leadership decisions on where to invest. Lead hands-on with Gen-AI: Personally use AI-assisted development and agentic tools to prototype, test hypotheses, and demonstrate value quickly; build LLM-backed systems using advanced RAG and context engineering, paired with rigorous scientific evaluation frameworks to scale highly reliable omnichannel recommendations. Lead the design of predictive and causal models: Develop next-best-action, recommendation, and sequential decision models that inform customer engagement and resource allocation using complex, multi-source data. Own measurement science: set the standard for measuring effectiveness, incrementality, and business impact using experimental and quasi-experimental methods, so that AI investments are evaluated rigorously. Partner with product owners to shape problems, not just fulfill requirements: co-define business outcomes, scope, and success metrics, and translate them into scalable technical solutions. Navigate a complex stakeholder ecosystem: build alignment across brand and marketing leaders, field sales and operations, Medical, Legal and Regulatory (MLR), Compliance, BTS, Digital Lab, and external vendors; reframe requests into well-posed problems and resolve competing priorities. Communicate with executive impact: translate complex methods and findings into clear recommendations and compelling narratives for executive and non-technical audiences. Productionize at scale: Partner with BTS, Digital Lab, engineering, and platform teams to deploy, monitor, and manage the lifecycle of AI/ML solutions. Raise the bar for scientific rigor: establish best practices in model development, code quality, reproducibility, peer review, and responsible AI across the data science community. Be a thought leader: stay at the forefront of research and practice in machine learning, generative AI, and causal inference; bring new ideas into the team; provoke rigorous analytical debate; and represent AbbVie's point of view internally and in the broader analytics community. Supervisory / Management Responsibilities This role does not carry formal direct report responsibilities but is expected to act as a technical leader and mentor across the broader data science community, raising the bar on scientific rigor and hands-on AI practice. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners, including oversight of deliverable quality and methodology validation. Key Competencies Scientific Engineering Depth: Deep expertise in machine learning, causal inference, and generative AI, combined with strong engineering discipline in reproducibility, deployment, and enterprise integration. AI Fluency and Bias to Action: Uses AI hands-on in daily work to prototype, analyze, and build; critically evaluates AI output; and turns ideas into working solutions quickly. Business Judgment and Problem-Framing: Translates ambiguous business challenges into well-scoped problems, connects technical choices to commercial value, and sets long-term technical direction while staying close to delivery. Stakeholder Navigation and Executive Influence: Reads organizational dynamics to build alignment across commercial, regulatory, and technology partners, earning trust as a thought partner to win support from senior leaders. Thought Leadership: Challenges conventional thinking and sparks meaningful analytical debate with peers and executives. Qualifications Education Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required; Master's or PhD in a quantitative field strongly preferred. Required Experience 8+ years of experience in data science, machine learning, or applied science (or 6+ years with a PhD), with a track record of delivering production-quality models that drove measurable business impact. Demonstrated experience setting technical direction for a portfolio of AI/ML solutions and influencing decisions of senior business leaders. Experience building personalization, recommendation, decision-optimization, or marketing-science solutions, in any industry. Deep hands-on expertise in causal inference and experimentation, including A/B testing and quasi-experimental methods, to measure business impact. Demonstrated hands-on experience using generative AI and AI-assisted development tools (e.g., LLM APIs, AI coding assistants, agent frameworks) to prototype and deliver solutions, with concrete examples that can be walked through during the interview process. Expert proficiency in Python and SQL, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed data processing. Experience productionizing AI/ML solutions in cloud environments, including deployment, monitoring, and lifecycle management. Track record of leading initiatives across complex, cross-functional stakeholder environments and presenting to executive audiences. Preferred Experience Commercial analytics experience in pharmaceutical, biotech, healthcare, or life sciences, including familiarity with data sources such as IQVIA, Symphony Health, APLD, or similar Rx, claims, and engagement data. Experience in omnichannel analytics, such as journey analysis, touchpoint measurement, closed-loop measurement, or next-best-action for HCP or patient engagement. Experience with advanced ML and optimization methods, including reinforcement learning, multi-armed bandits, transformers, and other approaches for sequential or recommendation use cases. Experience building LLM-based and agentic AI systems, including orchestration frameworks, evaluation, and integration through APIs and pipelines. Experience with cloud ML platforms and MLOps tools such as Azure ML, Databricks, and MLflow. External visibility through conference talks, publications, patents, open-source contributions, or recognized industry thought leadership. Experience working in agile product development environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity . click apply for full job details
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
11/11/2026
Full time
Job Description Job Description Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention. Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile. About the Role We're growing our world-class engineering team to usher our CRM platform into the next generation of software - and we're looking for a visionary Principal Full Stack Engineer to join our Core Platform Team Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch . We are actively refactoring our existing teams to be agentic-first - meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today. We're looking for builders who bring exceptional focus, ownership, and commitment to their work. At Steer, we want engineers who are "all in" on our mission, fully engaged with their work, and invested in our shared success. This means making Steer your primary professional focus and bringing the dedication and accountability needed to deliver exceptional results. Why Steer? True Ownership: You will lead massive products from start to finish within lean, high-velocity teams. Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product. AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows. What You'll Do Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance. Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless. Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve. Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows. What You Have Must Have: 7+ years of professional experience building complex, web-based SaaS products. The "All-In" Mindset: A deep commitment to Steer's mission and success. We look for engineers who take exceptional pride in their work, hold themselves to high standards, and demonstrate full ownership and accountability for their projects. They approach complex, seemingly impossible challenges with determination, proactively drive solutions, and are committed to delivering exceptional results in a fast-paced environment. AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development. AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure. AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration). Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization. Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership. Nice to Have: Familiarity with our current stack: .NET, Node.js (TypeScript), and React. Experience with Infrastructure as Code (Terraform, CloudFormation). Previous experience as a founding engineer or in an early-stage startup environment. Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations. Interview Process Initial Screen - 30 min with Lead Recruiter Hiring Manager Interview - 60 min with the Head of Engineering & Product Technical Interview - 60 min with a Principal Engineer Collaborative Interview - 30 min with Lead Product Manager What We Offer Equity Options: Own a piece of the company's success. 100% Remote: Work from anywhere in the US. 100% Employer-Paid Medical Insurance. Flexible PTO: With a 15-day minimum. FSA, HSA, and 401k options. Learning Stipend & WFH Equipment: Everything you need for a world-class home office. Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment. Why Join Steer? At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence. Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being. Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work. We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries. Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.
Job Description Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist to drive advanced analytics initiatives focused on improving operations Analytics accuracy. This role requires a strong blend of machine learning expertise, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities Getting EMPRV (Electronic Data Systems Maintenance Process Reengineering Vision) data into the lakehouse. This means extracting decades of work orders, asset hierarchy, maintenance history, and materials data (probably from an Oracle database) into Delta tables. Maintenance and work-order analytics. Examples include backlog and aging, planned versus actual labor and cost, repeat work orders on the same asset, crew productivity, and schedule adherence etc. Reliability and asset-health modeling. This covers failure patterns, time-to-failure and survival models, risk-based prioritization of maintenance, and anomaly detection on cost or frequency. Materials and inventory analytics. Examples are demand forecasting for spares, slow-moving or obsolete stock, and bill-of-materials consumption patterns. A Databricks App as the front end. This would replace legacy EMPRV queries and reports with a self-service tool for ops users Text analytics on work-order notes. Technician free-text comments are usually the richest and messiest part of EAM data. Classifying failure modes or cause codes from that text, including with LLMs Requirements Core (must-have) Python and PySpark programming experience. Strong SQL The Databricks platform. That includes Delta Lake, Unity Catalog, Workflows/Jobs, SQL warehouses, and ideally Delta Live Tables or Lakeflow. Basic familiarity with AWS (S3, IAM) will help Databricks Apps. The candidate should be able to build an app in Streamlit, Dash, or Gradio, connect it to SQL warehouses or Unity Catalog tables, and handle service principals, permissions, and deployment Analytical (should-have) Statistical and ML modeling (preferably for operations) . Relevant methods include classification and regression, time-series forecasting, survival and reliability analysis, and anomaly detection. NLP or LLM experience on unstructured text MLflow for experiment tracking and model deployment . Soft skills Comfort working directly with operations stakeholders. The candidate will be translating tribal knowledge about how EMPRV is actually used into data definitions, with limited documentation to lean on. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
11/11/2026
Full time
Job Description Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist to drive advanced analytics initiatives focused on improving operations Analytics accuracy. This role requires a strong blend of machine learning expertise, deep learning knowledge, and hands-on healthcare domain understanding. Key Responsibilities Getting EMPRV (Electronic Data Systems Maintenance Process Reengineering Vision) data into the lakehouse. This means extracting decades of work orders, asset hierarchy, maintenance history, and materials data (probably from an Oracle database) into Delta tables. Maintenance and work-order analytics. Examples include backlog and aging, planned versus actual labor and cost, repeat work orders on the same asset, crew productivity, and schedule adherence etc. Reliability and asset-health modeling. This covers failure patterns, time-to-failure and survival models, risk-based prioritization of maintenance, and anomaly detection on cost or frequency. Materials and inventory analytics. Examples are demand forecasting for spares, slow-moving or obsolete stock, and bill-of-materials consumption patterns. A Databricks App as the front end. This would replace legacy EMPRV queries and reports with a self-service tool for ops users Text analytics on work-order notes. Technician free-text comments are usually the richest and messiest part of EAM data. Classifying failure modes or cause codes from that text, including with LLMs Requirements Core (must-have) Python and PySpark programming experience. Strong SQL The Databricks platform. That includes Delta Lake, Unity Catalog, Workflows/Jobs, SQL warehouses, and ideally Delta Live Tables or Lakeflow. Basic familiarity with AWS (S3, IAM) will help Databricks Apps. The candidate should be able to build an app in Streamlit, Dash, or Gradio, connect it to SQL warehouses or Unity Catalog tables, and handle service principals, permissions, and deployment Analytical (should-have) Statistical and ML modeling (preferably for operations) . Relevant methods include classification and regression, time-series forecasting, survival and reliability analysis, and anomaly detection. NLP or LLM experience on unstructured text MLflow for experiment tracking and model deployment . Soft skills Comfort working directly with operations stakeholders. The candidate will be translating tribal knowledge about how EMPRV is actually used into data definitions, with limited documentation to lean on. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Job Description Job Description Mission Summary: Motional is seeking a highly technical and results-oriented Product Manager to define, build, and deliver an exceptional fleet operations ecosystem for our internal fleet operations teams. This role demands a deep understanding of software product development, a passion for user-centric design, and a proven track record of shipping complex, customer-facing and operational technical products. You will be responsible for the product strategy and execution of Motional's entire fleet operations software tooling. Crucially, you will own Motional's Command Center application which is responsible for all aspects of fleet management. This is a hands-on role requiring close collaboration with engineering, strategy and operations teams. This role will be expected to travel up to 50% of the time depending on the business purpose and product deliverables. Key Responsibilities: Overall Fleet Operations Tooling Strategy: Lead the strategy for unified fleet operations tooling, creating a scalable ecosystem that streamlines vehicle mission management, health monitoring, and customer assistance at every stage of the operational lifecycle. Translate insights into clear product requirements and a prioritized backlog that delivers measurable customer and business value. Command Center Product Ownership: Lead the product definition and development for our Command Center Fleet operations application, including: Config/deployment In-facility bring-up and launch on-road fleet management field support Maintenance Technical Product Management & Delivery: Author detailed technical product specifications, user stories, and acceptance criteria for engineering teams across customer experience and fleet systems. Demonstrate a strong bias for action and a proven ability to drive complex technical projects from concept through launch and iteration in an agile environment. Partner closely with software engineering (cloud, embedded, mobile), hardware engineering, AI/ML, and QA teams to ensure features are technically sound, built to specification, and delivered on time. Data-Driven Iteration & Optimization: Define and meticulously track key performance indicators (KPIs) related to customer satisfaction, engagement, task success rates, operational efficiency, and overall experience quality. Qualifications: Bachelor's degree in Computer Science, Software Engineering, HCI/Human Factors, or relevant technical field 5+ years of product management experience with a demonstrable strong technical background, specifically focused on customer-facing software products, operational tools, or complex system integrations. Proven history of successfully delivering technically challenging products from initial concept through multiple iterations and commercial launch. Deep understanding of software development lifecycles, agile methodologies, and modern software architecture (including cloud-based services and distributed systems). Experience with Human-Machine Interface (HMI) design, in-vehicle infotainment (IVI) systems, mobile application development (iOS/Android), platform/API integrations, or operational command and control interfaces. Exceptional ability to translate customer and operator needs into detailed technical requirements and effectively communicate them to engineering teams. Strong analytical and problem-solving skills, with a meticulous attention to detail. Preferred Qualifications: Direct experience in the autonomous vehicle, automotive technology, ride-sharing, or logistics/fleet management industries. Experience with in-vehicle operating systems (e.g., Android Automotive, QNX), display technologies, and vehicle communication protocols. Experience defining, building, and managing APIs for third-party integrations. Experience with cloud platforms (e.g., AWS, Azure, GCP) and technologies relevant to fleet management and real-time data processing. Demonstrated ability to work effectively with both embedded/hardware engineering teams and cloud/mobile software engineering teams. A genuine passion for creating innovative, intuitive, and delightful user experiences in emerging technology domains for both end-customers and internal operational users. Experience with user research methodologies and usability testing for both consumer-facing and enterprise/operational tools. What We Offer: A competitive compensation package, including salary, bonus, and equity. A unique opportunity to work on industry-defining technology with a world-class team. Comprehensive benefits, including medical, dental, vision, and 401(k). A collaborative culture that values innovation, safety, and integrity. Significant opportunities for professional growth and development in a fast-moving field. Equal Opportunity Employer: Motional is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law. This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $176,000-$242,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
11/11/2026
Full time
Job Description Job Description Mission Summary: Motional is seeking a highly technical and results-oriented Product Manager to define, build, and deliver an exceptional fleet operations ecosystem for our internal fleet operations teams. This role demands a deep understanding of software product development, a passion for user-centric design, and a proven track record of shipping complex, customer-facing and operational technical products. You will be responsible for the product strategy and execution of Motional's entire fleet operations software tooling. Crucially, you will own Motional's Command Center application which is responsible for all aspects of fleet management. This is a hands-on role requiring close collaboration with engineering, strategy and operations teams. This role will be expected to travel up to 50% of the time depending on the business purpose and product deliverables. Key Responsibilities: Overall Fleet Operations Tooling Strategy: Lead the strategy for unified fleet operations tooling, creating a scalable ecosystem that streamlines vehicle mission management, health monitoring, and customer assistance at every stage of the operational lifecycle. Translate insights into clear product requirements and a prioritized backlog that delivers measurable customer and business value. Command Center Product Ownership: Lead the product definition and development for our Command Center Fleet operations application, including: Config/deployment In-facility bring-up and launch on-road fleet management field support Maintenance Technical Product Management & Delivery: Author detailed technical product specifications, user stories, and acceptance criteria for engineering teams across customer experience and fleet systems. Demonstrate a strong bias for action and a proven ability to drive complex technical projects from concept through launch and iteration in an agile environment. Partner closely with software engineering (cloud, embedded, mobile), hardware engineering, AI/ML, and QA teams to ensure features are technically sound, built to specification, and delivered on time. Data-Driven Iteration & Optimization: Define and meticulously track key performance indicators (KPIs) related to customer satisfaction, engagement, task success rates, operational efficiency, and overall experience quality. Qualifications: Bachelor's degree in Computer Science, Software Engineering, HCI/Human Factors, or relevant technical field 5+ years of product management experience with a demonstrable strong technical background, specifically focused on customer-facing software products, operational tools, or complex system integrations. Proven history of successfully delivering technically challenging products from initial concept through multiple iterations and commercial launch. Deep understanding of software development lifecycles, agile methodologies, and modern software architecture (including cloud-based services and distributed systems). Experience with Human-Machine Interface (HMI) design, in-vehicle infotainment (IVI) systems, mobile application development (iOS/Android), platform/API integrations, or operational command and control interfaces. Exceptional ability to translate customer and operator needs into detailed technical requirements and effectively communicate them to engineering teams. Strong analytical and problem-solving skills, with a meticulous attention to detail. Preferred Qualifications: Direct experience in the autonomous vehicle, automotive technology, ride-sharing, or logistics/fleet management industries. Experience with in-vehicle operating systems (e.g., Android Automotive, QNX), display technologies, and vehicle communication protocols. Experience defining, building, and managing APIs for third-party integrations. Experience with cloud platforms (e.g., AWS, Azure, GCP) and technologies relevant to fleet management and real-time data processing. Demonstrated ability to work effectively with both embedded/hardware engineering teams and cloud/mobile software engineering teams. A genuine passion for creating innovative, intuitive, and delightful user experiences in emerging technology domains for both end-customers and internal operational users. Experience with user research methodologies and usability testing for both consumer-facing and enterprise/operational tools. What We Offer: A competitive compensation package, including salary, bonus, and equity. A unique opportunity to work on industry-defining technology with a world-class team. Comprehensive benefits, including medical, dental, vision, and 401(k). A collaborative culture that values innovation, safety, and integrity. Significant opportunities for professional growth and development in a fast-moving field. Equal Opportunity Employer: Motional is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law. This role is based in our Pittsburgh or Las Vegas office and requires in-office days each week. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $176,000-$242,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Job Description Job Description Job Title: Principal Dynatrace Platform Engineer. Location: Washington, DC (On-site). Employment Type: W2 Contract. Duration: 11 months. About the Opportunity: ZipStaff is hiring a Principal Dynatrace Platform Engineer for our client, a national passenger transportation organization, to serve as the subject matter expert and lead observability architect for its enterprise Dynatrace ecosystem. You will own the architecture, design and deployment of scalable self-service automation workflows that streamline observability across complex hybrid-cloud environments, using advanced capabilities such as Davis AI root-cause analysis, synthetic monitoring, distributed tracing and automated remediation to give product and engineering teams actionable operational intelligence. What You'll Do: Architect, implement and maintain high-availability Dynatrace deployment strategies across multi-cloud and on-premises enterprise environments. Design, build and operationalize self-service automation tools, APIs and CI/CD integrations to simplify agent rollouts, synthetic script deployments and monitoring lifecycle management. Leverage advanced Dynatrace capabilities including Davis AI tuning, Cloud Automation, SLO/SLA dashboards, OneAgent configuration and distributed tracing. Define enterprise observability best practices, tagging taxonomies, alerting policies and configuration-as-code (Monaco / Terraform) frameworks to ensure clean governance and prevent alert fatigue. Partner with SRE, DevOps and application delivery teams to drive observability adoption, troubleshoot critical bottlenecks and lead incident post-mortem analysis. Required Qualifications: 8+ years of hands-on experience in enterprise application performance management (APM) and observability administration. Proven expertise at a Dynatrace Master or Gold-Certified level. Strong scripting and automation skills in Python, Bash, PowerShell or Go, including the Dynatrace API and Configuration-as-Code (Monaco / Terraform provider). Experience deploying and configuring OneAgents and ActiveGates across Kubernetes/OpenShift and major cloud providers (AWS, Azure or GCP). Deep familiarity with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) and integrating automated performance gates into release cycles. Outstanding ability to design scalable systems, document technical blueprints and communicate observability insights to technical leaders and stakeholders. Ability to work on-site in Washington, DC. Preferred Qualifications: Dynatrace Master certification. Experience supporting large-scale transportation or other mission-critical enterprise environments. Experience leading observability programs in SRE-driven organizations. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff connects skilled technology professionals with leading organizations across the United States, matching top talent with impactful contract and full-time opportunities. To apply, submit your resume through this posting. Qualified candidates will be contacted by a ZipStaff recruiter.
11/11/2026
Full time
Job Description Job Description Job Title: Principal Dynatrace Platform Engineer. Location: Washington, DC (On-site). Employment Type: W2 Contract. Duration: 11 months. About the Opportunity: ZipStaff is hiring a Principal Dynatrace Platform Engineer for our client, a national passenger transportation organization, to serve as the subject matter expert and lead observability architect for its enterprise Dynatrace ecosystem. You will own the architecture, design and deployment of scalable self-service automation workflows that streamline observability across complex hybrid-cloud environments, using advanced capabilities such as Davis AI root-cause analysis, synthetic monitoring, distributed tracing and automated remediation to give product and engineering teams actionable operational intelligence. What You'll Do: Architect, implement and maintain high-availability Dynatrace deployment strategies across multi-cloud and on-premises enterprise environments. Design, build and operationalize self-service automation tools, APIs and CI/CD integrations to simplify agent rollouts, synthetic script deployments and monitoring lifecycle management. Leverage advanced Dynatrace capabilities including Davis AI tuning, Cloud Automation, SLO/SLA dashboards, OneAgent configuration and distributed tracing. Define enterprise observability best practices, tagging taxonomies, alerting policies and configuration-as-code (Monaco / Terraform) frameworks to ensure clean governance and prevent alert fatigue. Partner with SRE, DevOps and application delivery teams to drive observability adoption, troubleshoot critical bottlenecks and lead incident post-mortem analysis. Required Qualifications: 8+ years of hands-on experience in enterprise application performance management (APM) and observability administration. Proven expertise at a Dynatrace Master or Gold-Certified level. Strong scripting and automation skills in Python, Bash, PowerShell or Go, including the Dynatrace API and Configuration-as-Code (Monaco / Terraform provider). Experience deploying and configuring OneAgents and ActiveGates across Kubernetes/OpenShift and major cloud providers (AWS, Azure or GCP). Deep familiarity with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) and integrating automated performance gates into release cycles. Outstanding ability to design scalable systems, document technical blueprints and communicate observability insights to technical leaders and stakeholders. Ability to work on-site in Washington, DC. Preferred Qualifications: Dynatrace Master certification. Experience supporting large-scale transportation or other mission-critical enterprise environments. Experience leading observability programs in SRE-driven organizations. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff connects skilled technology professionals with leading organizations across the United States, matching top talent with impactful contract and full-time opportunities. To apply, submit your resume through this posting. Qualified candidates will be contacted by a ZipStaff recruiter.
Job Description Job Description Benefits: Dental insurance Health insurance Paid time off Relocation bonus Vision insurance Principal Software Engineer - Test Equipment Legion Technical Solutions (LTS) Location: Tucson, Arizona 100% Onsite Position Level: Principal / Senior-Level Engineering Build Advanced Software Solutions for Mission-Critical Defense Systems Legion Technical Solutions (LTS) is seeking an experienced Principal Software Engineer - Test Equipment to support advanced defense technology programs in Tucson, Arizona. This opportunity is ideal for a highly skilled software engineer who enjoys hands-on development, solving complex technical challenges, and leading software solutions that directly support sophisticated electronic systems. In this role, you will develop, integrate, and maintain advanced Windows-based software applications used in engineering laboratories, automated test environments, and production facilities. You will work alongside multidisciplinary engineering teams to deliver reliable software solutions that support the development, verification, manufacturing, and sustainment of mission-critical defense systems. At LTS, we connect exceptional engineering professionals with challenging opportunities that make a meaningful impact on national defense. We value technical expertise, collaboration, innovation, and the contributions of engineers who take ownership of their work. What You'll Do Design, develop, and integrate object-oriented software applications using C#, C++, Microsoft Visual Studio, and Windows operating systems . Develop sophisticated software applications, libraries, and instrument drivers supporting automated test equipment and production systems. Design and implement software solutions throughout the engineering lifecycle, from initial requirements and development through integration, verification, production, and sustainment. Troubleshoot complex software applications, hardware interfaces, and test equipment instrumentation. Develop, analyze, and refine software requirements to ensure reliable system performance. Collaborate with electrical, mechanical, systems, and test engineers to integrate software with advanced hardware platforms. Support engineering laboratories and manufacturing operations by diagnosing technical issues and implementing effective solutions. Manage multiple software engineering priorities while maintaining high standards for quality, performance, and delivery. Provide technical leadership, guidance, and mentorship to junior software engineers. Contribute to software architecture, design reviews, continuous improvement initiatives, and engineering best practices. Required Qualifications Bachelor's degree in Science, Technology, Engineering, Mathematics (STEM), or a related technical discipline with 8+ years of relevant professional experience , or an advanced degree in a related field with 5+ years of relevant experience . Professional experience developing and integrating software applications using programming languages such as C++, C#, Java, Python, or Visual Basic. Hands-on experience using integrated development environments (IDEs), debugging tools, and software troubleshooting techniques. Demonstrated experience developing software within Windows operating systems and Microsoft Visual Studio . Strong understanding of object-oriented programming, software design principles, and application integration. Ability to work independently and collaboratively in a multidisciplinary engineering environment. Strong analytical, problem-solving, and communication skills. Ability to work 100% onsite in Tucson, Arizona . U.S. citizenship and an active U.S. government security clearance are required at the time of hire. Preferred Qualifications Experience developing software for automated test equipment (ATE), production test systems, or laboratory instrumentation . Familiarity with electronic test instruments such as oscilloscopes, digital multimeters, programmable power supplies, and related equipment. Experience developing software drivers and interfaces for computer hardware and instrumentation. Knowledge of communication protocols and hardware interfaces, including TCP/IP, UDP, and RS-422. Experience with computer architecture and hardware optimization techniques. Familiarity with Unified Modeling Language (UML) for software architecture and design. Experience with Agile and Waterfall software development methodologies. Knowledge of software configuration management and version control principles. Experience using Microsoft Azure DevOps Server, GitHub, or similar development tools. Demonstrated success leading technical projects, mentoring engineers, or guiding software development teams. Experience supporting software applications in engineering laboratories, manufacturing environments, or complex hardware integration programs. Why Join Legion Technical Solutions? At Legion Technical Solutions , we recognize that exceptional engineers want more than just another assignment. They want opportunities to apply their expertise, solve meaningful challenges, and continue advancing professionally. When you join LTS, you'll have the opportunity to: Work on impactful technology: Contribute to advanced engineering solutions supporting critical national defense programs. Solve challenging technical problems: Develop software that directly interfaces with sophisticated hardware and automated test systems. Expand your technical influence: Apply your expertise while mentoring engineers and contributing to important technical decisions. Collaborate with talented professionals: Work alongside experienced multidisciplinary engineering teams. Partner with a dedicated organization: Experience a team that values professional relationships, transparent communication, and long-term career success. Take the Next Step If you're an accomplished software engineer with strong C#/C++ development skills, experience in Windows-based applications, and an interest in advanced test equipment and defense technology, we'd welcome the opportunity to connect. Join Legion Technical Solutions and put your engineering expertise to work on technology that matters. Apply today to explore this Principal Software Engineer - Test Equipment opportunity in Tucson, Arizona. Legion Technical Solutions LLC is an Equal Opportunity Employer. We welcome qualified applicants and make employment decisions without regard to legally protected characteristics.
11/11/2026
Full time
Job Description Job Description Benefits: Dental insurance Health insurance Paid time off Relocation bonus Vision insurance Principal Software Engineer - Test Equipment Legion Technical Solutions (LTS) Location: Tucson, Arizona 100% Onsite Position Level: Principal / Senior-Level Engineering Build Advanced Software Solutions for Mission-Critical Defense Systems Legion Technical Solutions (LTS) is seeking an experienced Principal Software Engineer - Test Equipment to support advanced defense technology programs in Tucson, Arizona. This opportunity is ideal for a highly skilled software engineer who enjoys hands-on development, solving complex technical challenges, and leading software solutions that directly support sophisticated electronic systems. In this role, you will develop, integrate, and maintain advanced Windows-based software applications used in engineering laboratories, automated test environments, and production facilities. You will work alongside multidisciplinary engineering teams to deliver reliable software solutions that support the development, verification, manufacturing, and sustainment of mission-critical defense systems. At LTS, we connect exceptional engineering professionals with challenging opportunities that make a meaningful impact on national defense. We value technical expertise, collaboration, innovation, and the contributions of engineers who take ownership of their work. What You'll Do Design, develop, and integrate object-oriented software applications using C#, C++, Microsoft Visual Studio, and Windows operating systems . Develop sophisticated software applications, libraries, and instrument drivers supporting automated test equipment and production systems. Design and implement software solutions throughout the engineering lifecycle, from initial requirements and development through integration, verification, production, and sustainment. Troubleshoot complex software applications, hardware interfaces, and test equipment instrumentation. Develop, analyze, and refine software requirements to ensure reliable system performance. Collaborate with electrical, mechanical, systems, and test engineers to integrate software with advanced hardware platforms. Support engineering laboratories and manufacturing operations by diagnosing technical issues and implementing effective solutions. Manage multiple software engineering priorities while maintaining high standards for quality, performance, and delivery. Provide technical leadership, guidance, and mentorship to junior software engineers. Contribute to software architecture, design reviews, continuous improvement initiatives, and engineering best practices. Required Qualifications Bachelor's degree in Science, Technology, Engineering, Mathematics (STEM), or a related technical discipline with 8+ years of relevant professional experience , or an advanced degree in a related field with 5+ years of relevant experience . Professional experience developing and integrating software applications using programming languages such as C++, C#, Java, Python, or Visual Basic. Hands-on experience using integrated development environments (IDEs), debugging tools, and software troubleshooting techniques. Demonstrated experience developing software within Windows operating systems and Microsoft Visual Studio . Strong understanding of object-oriented programming, software design principles, and application integration. Ability to work independently and collaboratively in a multidisciplinary engineering environment. Strong analytical, problem-solving, and communication skills. Ability to work 100% onsite in Tucson, Arizona . U.S. citizenship and an active U.S. government security clearance are required at the time of hire. Preferred Qualifications Experience developing software for automated test equipment (ATE), production test systems, or laboratory instrumentation . Familiarity with electronic test instruments such as oscilloscopes, digital multimeters, programmable power supplies, and related equipment. Experience developing software drivers and interfaces for computer hardware and instrumentation. Knowledge of communication protocols and hardware interfaces, including TCP/IP, UDP, and RS-422. Experience with computer architecture and hardware optimization techniques. Familiarity with Unified Modeling Language (UML) for software architecture and design. Experience with Agile and Waterfall software development methodologies. Knowledge of software configuration management and version control principles. Experience using Microsoft Azure DevOps Server, GitHub, or similar development tools. Demonstrated success leading technical projects, mentoring engineers, or guiding software development teams. Experience supporting software applications in engineering laboratories, manufacturing environments, or complex hardware integration programs. Why Join Legion Technical Solutions? At Legion Technical Solutions , we recognize that exceptional engineers want more than just another assignment. They want opportunities to apply their expertise, solve meaningful challenges, and continue advancing professionally. When you join LTS, you'll have the opportunity to: Work on impactful technology: Contribute to advanced engineering solutions supporting critical national defense programs. Solve challenging technical problems: Develop software that directly interfaces with sophisticated hardware and automated test systems. Expand your technical influence: Apply your expertise while mentoring engineers and contributing to important technical decisions. Collaborate with talented professionals: Work alongside experienced multidisciplinary engineering teams. Partner with a dedicated organization: Experience a team that values professional relationships, transparent communication, and long-term career success. Take the Next Step If you're an accomplished software engineer with strong C#/C++ development skills, experience in Windows-based applications, and an interest in advanced test equipment and defense technology, we'd welcome the opportunity to connect. Join Legion Technical Solutions and put your engineering expertise to work on technology that matters. Apply today to explore this Principal Software Engineer - Test Equipment opportunity in Tucson, Arizona. Legion Technical Solutions LLC is an Equal Opportunity Employer. We welcome qualified applicants and make employment decisions without regard to legally protected characteristics.
Job Description Job Description Overview Employment in this role is conditional upon successful execution of the contract by the client. The Work: The Application Integration, SME will design, develop, and maintain data integration pipelines that seamlessly connect Microsoft Dataverse and the Power Platform with internal and external systems. This role focuses on ensuring secure, reliable, and highly performant data migration and integration across diverse cloud and on-premises environments. This role will demonstrate an ability to handle complex data workflows, API integrations, and hybrid system connections, while adhering to the latest security and compliance standards. This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables. Responsibilities Key Responsibilities: Design, develop, and maintain data integration and migration pipelines using tools such as Azure Data Factory, SQL Server Integration Services (SSIS), and Power Apps/Power Platform Dataflows to connect Dataverse to on-premises, cloud, and SaaS systems. Build and support Power Automate integration flows, including scheduled, triggered, and event-driven workflows. Develop, consume, and expose REST APIs to facilitate bi-directional data exchange between Dataverse and external systems. Configure, maintain, and troubleshoot the On-Premises Data Gateway for secure data access across on-premises and cloud environments. Execute data profiling, cleansing, mapping, and transformation activities, ensuring data quality and integrity throughout integration processes; apply analytical techniques for troubleshooting data issues. Optimize integration pipelines for throughput, latency, and protection limits while implementing robust error handling, logging, alerting, and monitoring to ensure reliability and rapid issue resolution. Work with solution architects, business stakeholders, and functional consultants to gather requirements, design technical solutions, and document data flows, integration architecture specifications, and operational runbooks. Apply security best practices for data in transit and at rest, including credential management and role-based access control. Support testing efforts, including unit testing, integration testing, and user acceptance testing for integration workflows; provide production support and troubleshooting for integration failures, performance bottlenecks, and data discrepancies. Stay current with Power Platform, Dataverse, and Azure integration service updates and recommend solutions to enhance system performance and capabilities. Other duties as assigned. Qualifications Qualifications - Here's What You Need: The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client. Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent experience. At least 8 years of related professional experience. 5+ years of experience in data engineering, data migration, or systems integration roles. Demonstrated experience integrating and migrating data into/out of Microsoft Dataverse and Power Platform. Hands-on experience with Power Automate for building integration and orchestration workflows. Hands-on experience with Power Apps/Platform Dataflows. Hands-on ETL experience with SQL Server Integration Services (SSIS). Hands-on experience with pipeline orchestration/data movement in Azure Data Factory. Experience designing, consuming, and troubleshooting REST APIs for system-to-system integration. Experience configuring and maintaining the On-Premises Data Gateway. Strong proficiency in SQL (query optimization, relational database design). Solid understanding of Dataverse data model, entity relationships, and Power Platform security model (business units, security roles, teams). Experience with data mapping, transformation logic, and data quality validation techniques. Familiarity with authentication and authorization protocols (OAuth 2.0, Azure AD/Entra ID app registrations, service principals). Strong analytical/troubleshooting skills; ability to diagnose complex data/integration issues. Active Top Secret Security Clearance. Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment. Minimum Skills: Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner. Exceptional verbal and written communication skills. Excellent organizational, analytical, and problem-solving skills with high-level attention to detail. Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner. Must be self-motivated and able to work well independently as well as on a multi-functional team. Ability to handle sensitive and confidential information appropriately Proficient in MS Office, Word, Outlook, PowerPoint, and Excel. Preferred Qualifications: Microsoft certifications such as PL-400, PL-600, DP-600, DP-203, or AZ-204. Experience with Azure Logic Apps, Azure Functions, and Dataverse virtual tables/entities. Knowledge of source control and CI/CD practices (e.g., Azure DevOps, GitLab CI/CD). Familiarity with message-based/event-driven integration using tools like Azure Service Bus, Event Grid, or webhooks. Working knowledge of C#/.NET or PowerShell for custom connectors, automation scripting, and plug-ins. Knowledge of master data management, data retention, and archival strategies. Experience with Application Lifecycle Management (ALM) for Power Platform solutions, including managed/unmanaged solutions and environment strategies. Familiarity with tools like Application Insights and Azure Monitor to enhance system reliability and observability. Our Commitment to you / overview of benefits: Medical, Dental and Vision Insurance; Wellness Program Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short-Term and Long-Term Disability options Basic Life and AD&D Insurance (Company Provided) Voluntary Life and AD&D options 401(k) Retirement Savings Plan with matching after one year Paid Time Off Reports to: Program Manager Working Conditions: Professional office environment, with the ability to work onsite in the main office. Must be physically and mentally able to perform duties extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position. Must be able to establish a productive and professional workspace. Must be able to sit for long periods of time looking at computer screen. May be asked to work a flexible schedule which may include holidays. May be asked to travel for business or professional development purposes. May be asked to work hours outside of normal business hours. Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.
11/11/2026
Full time
Job Description Job Description Overview Employment in this role is conditional upon successful execution of the contract by the client. The Work: The Application Integration, SME will design, develop, and maintain data integration pipelines that seamlessly connect Microsoft Dataverse and the Power Platform with internal and external systems. This role focuses on ensuring secure, reliable, and highly performant data migration and integration across diverse cloud and on-premises environments. This role will demonstrate an ability to handle complex data workflows, API integrations, and hybrid system connections, while adhering to the latest security and compliance standards. This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables. Responsibilities Key Responsibilities: Design, develop, and maintain data integration and migration pipelines using tools such as Azure Data Factory, SQL Server Integration Services (SSIS), and Power Apps/Power Platform Dataflows to connect Dataverse to on-premises, cloud, and SaaS systems. Build and support Power Automate integration flows, including scheduled, triggered, and event-driven workflows. Develop, consume, and expose REST APIs to facilitate bi-directional data exchange between Dataverse and external systems. Configure, maintain, and troubleshoot the On-Premises Data Gateway for secure data access across on-premises and cloud environments. Execute data profiling, cleansing, mapping, and transformation activities, ensuring data quality and integrity throughout integration processes; apply analytical techniques for troubleshooting data issues. Optimize integration pipelines for throughput, latency, and protection limits while implementing robust error handling, logging, alerting, and monitoring to ensure reliability and rapid issue resolution. Work with solution architects, business stakeholders, and functional consultants to gather requirements, design technical solutions, and document data flows, integration architecture specifications, and operational runbooks. Apply security best practices for data in transit and at rest, including credential management and role-based access control. Support testing efforts, including unit testing, integration testing, and user acceptance testing for integration workflows; provide production support and troubleshooting for integration failures, performance bottlenecks, and data discrepancies. Stay current with Power Platform, Dataverse, and Azure integration service updates and recommend solutions to enhance system performance and capabilities. Other duties as assigned. Qualifications Qualifications - Here's What You Need: The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client. Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent experience. At least 8 years of related professional experience. 5+ years of experience in data engineering, data migration, or systems integration roles. Demonstrated experience integrating and migrating data into/out of Microsoft Dataverse and Power Platform. Hands-on experience with Power Automate for building integration and orchestration workflows. Hands-on experience with Power Apps/Platform Dataflows. Hands-on ETL experience with SQL Server Integration Services (SSIS). Hands-on experience with pipeline orchestration/data movement in Azure Data Factory. Experience designing, consuming, and troubleshooting REST APIs for system-to-system integration. Experience configuring and maintaining the On-Premises Data Gateway. Strong proficiency in SQL (query optimization, relational database design). Solid understanding of Dataverse data model, entity relationships, and Power Platform security model (business units, security roles, teams). Experience with data mapping, transformation logic, and data quality validation techniques. Familiarity with authentication and authorization protocols (OAuth 2.0, Azure AD/Entra ID app registrations, service principals). Strong analytical/troubleshooting skills; ability to diagnose complex data/integration issues. Active Top Secret Security Clearance. Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment. Minimum Skills: Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner. Exceptional verbal and written communication skills. Excellent organizational, analytical, and problem-solving skills with high-level attention to detail. Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner. Must be self-motivated and able to work well independently as well as on a multi-functional team. Ability to handle sensitive and confidential information appropriately Proficient in MS Office, Word, Outlook, PowerPoint, and Excel. Preferred Qualifications: Microsoft certifications such as PL-400, PL-600, DP-600, DP-203, or AZ-204. Experience with Azure Logic Apps, Azure Functions, and Dataverse virtual tables/entities. Knowledge of source control and CI/CD practices (e.g., Azure DevOps, GitLab CI/CD). Familiarity with message-based/event-driven integration using tools like Azure Service Bus, Event Grid, or webhooks. Working knowledge of C#/.NET or PowerShell for custom connectors, automation scripting, and plug-ins. Knowledge of master data management, data retention, and archival strategies. Experience with Application Lifecycle Management (ALM) for Power Platform solutions, including managed/unmanaged solutions and environment strategies. Familiarity with tools like Application Insights and Azure Monitor to enhance system reliability and observability. Our Commitment to you / overview of benefits: Medical, Dental and Vision Insurance; Wellness Program Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Short-Term and Long-Term Disability options Basic Life and AD&D Insurance (Company Provided) Voluntary Life and AD&D options 401(k) Retirement Savings Plan with matching after one year Paid Time Off Reports to: Program Manager Working Conditions: Professional office environment, with the ability to work onsite in the main office. Must be physically and mentally able to perform duties extended periods of time. Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position. Must be able to establish a productive and professional workspace. Must be able to sit for long periods of time looking at computer screen. May be asked to work a flexible schedule which may include holidays. May be asked to travel for business or professional development purposes. May be asked to work hours outside of normal business hours. Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.