We are looking for a Principal Modern Planner to own demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions. This role will connect data center build plans, network architecture, product roadmaps, engineering changes, BOMs, and historical demand to a long-range view of hardware requirements. The planner will work across Networking Engineering, Network Architecture, Data Center Planning, Product, Supply Chain, Procurement, Finance, and Data/Analytics to understand the underlying demand drivers, reconcile different inputs, and improve the quality and consistency of the demand plan. The role also has a strong analytics and data component. The successful candidate will use forecasting, statistical analysis, data modeling, automation, and AI/ML to improve planning processes, identify issues in the demand signal, and provide better visibility into future capacity and supply requirements. This is a hands-on Principal role for someone who can move between planning strategy, detailed data analysis, and networking hardware fundamentals, and who can work effectively with both technical teams and senior leadership. Responsibilities Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements. Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs. Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers. Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs. Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals. Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints. Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast. Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes. Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process. Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory. Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies. Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work. Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan. Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions. Lead complex planning issues across organizational boundaries and drive them to resolution. Mentor other planners and analytical team members and help establish scalable planning practices. Required Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field. 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area. Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure. Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers. Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions. Experience connecting engineering, deployment, or infrastructure plans to hardware demand. Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R. Experience working with large datasets and using data to investigate problems and support planning decisions. Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders. Ability to operate independently, navigate ambiguity, and influence decisions across organizations. Preferred Qualifications Experience with data center build and deployment planning or cloud infrastructure capacity planning. Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components. Familiarity with data center networking architectures and high-performance/AI networking. Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand. Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions. Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods. Experience building data pipelines, analytical datasets, dashboards, or planning tools. Experience using GenAI or automation to improve planning and forecasting processes. Experience presenting planning analysis and recommendations to senior engineering or business leadership. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process . click apply for full job details
09/23/2026
Full time
We are looking for a Principal Modern Planner to own demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions. This role will connect data center build plans, network architecture, product roadmaps, engineering changes, BOMs, and historical demand to a long-range view of hardware requirements. The planner will work across Networking Engineering, Network Architecture, Data Center Planning, Product, Supply Chain, Procurement, Finance, and Data/Analytics to understand the underlying demand drivers, reconcile different inputs, and improve the quality and consistency of the demand plan. The role also has a strong analytics and data component. The successful candidate will use forecasting, statistical analysis, data modeling, automation, and AI/ML to improve planning processes, identify issues in the demand signal, and provide better visibility into future capacity and supply requirements. This is a hands-on Principal role for someone who can move between planning strategy, detailed data analysis, and networking hardware fundamentals, and who can work effectively with both technical teams and senior leadership. Responsibilities Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements. Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs. Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers. Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs. Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals. Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints. Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast. Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes. Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process. Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory. Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies. Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work. Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan. Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions. Lead complex planning issues across organizational boundaries and drive them to resolution. Mentor other planners and analytical team members and help establish scalable planning practices. Required Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field. 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area. Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure. Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers. Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions. Experience connecting engineering, deployment, or infrastructure plans to hardware demand. Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R. Experience working with large datasets and using data to investigate problems and support planning decisions. Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders. Ability to operate independently, navigate ambiguity, and influence decisions across organizations. Preferred Qualifications Experience with data center build and deployment planning or cloud infrastructure capacity planning. Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components. Familiarity with data center networking architectures and high-performance/AI networking. Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand. Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions. Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods. Experience building data pipelines, analytical datasets, dashboards, or planning tools. Experience using GenAI or automation to improve planning and forecasting processes. Experience presenting planning analysis and recommendations to senior engineering or business leadership. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $90,100 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process . click apply for full job details
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
09/23/2026
Full time
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the "12 Angry Seniors." Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen-not dilute-our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job Design the foundation that makes intelligent systems scale for our enterprise. The AI & Cloud Architect defines and governs the architecture that powers SCAN's AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance. You Will: Architectural Design & Strategy Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake. Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution. Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry. Infrastructure & Platform Enablement Build and maintain scalable cloud environments for model training, evaluation, and inference. Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high-availability, cost-optimized compute and storage strategies for AI workloads. Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements. Orchestration & Automation Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management. Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services. Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement. Governance & Collaboration Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards. Define metadata, lineage, and model registry conventions for consistent tracking and reuse. Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes. Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives. Innovation & Thought Leadership Evaluate emerging Azure and open-source technologies to extend SCAN's AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs). Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery. Coach engineers on architectural best practices and help shape the long-term technical roadmap. Your Qualifications: Deep Expertise in Azure Ecosystem Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric. Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs). Architectural Design & Integration Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads. Strong understanding of network design, IAM, data governance, and enterprise integration patterns. AI Engineering Foundations Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks. Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs. Data & Metadata Strategy Understanding of data modeling, knowledge graphs, and semantic search design. Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions. Responsible AI & Compliance Mindset Demonstrated commitment to secure, auditable, and explainable AI design. Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN's Responsible AI framework. Collaboration & Leadership Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance. Comfortable working in a fast-evolving environment balancing experimentation with operational rigor. Strong written and verbal communication skills for technical and executive audiences. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN's Vision and Goals. Other duties as assigned. What's in it for you? Base Pay Range: $200,000 to $260,000 annually An annual employee bonus program Robust Wellness Program Generous paid-time-off (PTO) 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days Excellent 401(k) Retirement Saving Plan with employer match Robust employee recognition program Tuition reimbursement An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now! At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
09/23/2026
Full time
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the "12 Angry Seniors." Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen-not dilute-our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job Design the foundation that makes intelligent systems scale for our enterprise. The AI & Cloud Architect defines and governs the architecture that powers SCAN's AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance. You Will: Architectural Design & Strategy Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake. Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution. Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry. Infrastructure & Platform Enablement Build and maintain scalable cloud environments for model training, evaluation, and inference. Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high-availability, cost-optimized compute and storage strategies for AI workloads. Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements. Orchestration & Automation Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management. Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services. Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement. Governance & Collaboration Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards. Define metadata, lineage, and model registry conventions for consistent tracking and reuse. Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes. Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives. Innovation & Thought Leadership Evaluate emerging Azure and open-source technologies to extend SCAN's AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs). Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery. Coach engineers on architectural best practices and help shape the long-term technical roadmap. Your Qualifications: Deep Expertise in Azure Ecosystem Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric. Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs). Architectural Design & Integration Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads. Strong understanding of network design, IAM, data governance, and enterprise integration patterns. AI Engineering Foundations Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks. Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs. Data & Metadata Strategy Understanding of data modeling, knowledge graphs, and semantic search design. Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions. Responsible AI & Compliance Mindset Demonstrated commitment to secure, auditable, and explainable AI design. Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN's Responsible AI framework. Collaboration & Leadership Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance. Comfortable working in a fast-evolving environment balancing experimentation with operational rigor. Strong written and verbal communication skills for technical and executive audiences. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN's Vision and Goals. Other duties as assigned. What's in it for you? Base Pay Range: $200,000 to $260,000 annually An annual employee bonus program Robust Wellness Program Generous paid-time-off (PTO) 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days Excellent 401(k) Retirement Saving Plan with employer match Robust employee recognition program Tuition reimbursement An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now! At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You embed inside four to five of Okta's most strategic enterprise customers as their dedicated technical partner for agent identity. You sit alongside their identity, platform, and security engineering teams, write production code in their environment, and own the technical outcome from prototype through production. You are a builder-consultant. You go past architecture diagrams to code, debug, and ship bespoke agent identity solutions inside the customer's environment. You ship secure agents faster for the customer, and you feed real field insight back to Okta product engineering. Responsibilities Become the customer's trusted technical voice on agent security. Sit in their standups, design reviews, and incident response. Earn a seat on their architecture review board and security council for agent risk decisions. Architect and deploy with the customer's team. Build Okta's agent security stack into their infrastructure: Cross-App Access (XAA), Fine-Grained Authorization (FGA), MCP Gateway, and agent client registration. Own the identity, delegation, audit, and kill-switch architecture end to end, and coach their engineers on the patterns. Engage senior leadership. Brief the CISO, CIO, identity leaders, Chief AI Officer, and principal architects. Translate token-exchange flows into board-level agent risk, and AI governance mandates into architecture. Deliver white-glove deployment. Agents in production with full identity coverage, security review passed, governance requirements met, and posture visibility online. The customer points to you as the reason their agent program is real. Keep deployments defensible. Align architecture decisions to OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS, and to HIPAA, FedRAMP, or SOC 2 where the customer is regulated. Wire Okta into the customer's stack. Connect O4AA to their IdP for human-to-agent links, IGA for agent lifecycle, ISPM for posture, SIEM and EDR for behavior coverage, and policy engines for runtime decisions. Build evals and observability. Authorization decision latency, scope sprawl across agents, anomalous delegation chains, audit completeness, kill-switch verification, and rogue agent detection. Turn field patterns into product. Extract the recurring gaps from their architects and governance leads, and convert them into reusable modules and roadmap fixes that ship for every other customer. Be on site. Regular presence at customer locations. Trust and governance alignment happen in the room. Requirements Engineering pedigree. 7+ years shipping production software, still hands-on in the IDE, with on-call experience and operational maturity in systems that authenticate and authorize at high throughput. Ability to travel, 35% (on occasion internationally) Identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Agent security frameworks. Working knowledge of OWASP Top 10 for Agentic Applications, NIST AI RMF, and MITRE ATLAS. Familiarity with MCP, A2A, ISO/IEC 42001, and the EU AI Act. Comfortable mapping deployments to HIPAA, FedRAMP, and SOC 2. Fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and a working understanding of how agents acquire tokens, call APIs, and delegate. AI hands-on. Built production integrations with Claude, ChatGPT, Microsoft Copilot, Agentforce, Bedrock, LangChain, CrewAI, the OpenAI Agents SDK, or MCP servers. AI-native development. Daily use of Claude Code, Cursor, GitHub Copilot, or equivalent. Customer-facing range. At home in a customer standup and a CISO briefing on the same day. You build trust with senior engineering leaders and you stay in the room when their internal politics get sharp. High agency, founder's mindset. A zero-to-one self-starter who owns outcomes end to end. P25257_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $200,000-$275,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
Principal AI Research Scientist, Research Director - AI Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low level implementation details with engineering partners. Role Summary As a Principal Research Scientist - AI Scaling, you will lead a team of world class researchers and engineers to advance the state of the art in large scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks' strategic objectives, prioritizing advances in foundation model efficiency and large scale training and inference. Drive algorithmic innovations for large scale neural network training and inference, including novel optimizers, low precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state of the art approaches. Optimize end to end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure. Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer impacting capabilities in the Databricks AI platform. Foster a culture of scientific excellence and openness, including high quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI. Represent Databricks AI research externally through top tier publications, conference talks, and collaborations with academia and the open source community, with a focus on optimization and efficiency for large scale models. Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers. What You Will Do Define and lead independent research programs onfoundation model efficiency, covering topics such as optimizer design, low precision training/inference, scalable model architectures, and efficient adaptation methods. Oversee the design and execution of large scale experiments, including benchmarking against state of the art methods and evaluating trade offs in quality, latency, throughput, and cost. Work hands on with your team on high quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks' production systems. Collaborate with distributed systems and infra teams to push the limits of distributed training , parallelism strategies, memory management, and hardware utilization for LLMs and other large models. Establish metrics, evaluation protocols, and best practices for scaling focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI. Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first class considerations. What We Look For Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large scale neural networks. Hands on leadership - strong programming skills and demonstrated ability to write high quality, efficient code in Python and PyTorch for research implementation and experimentation. Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams. Excellent communication, leadership, and stakeholder management skills, with experience influencing cross functional roadmaps and aligning research with business impact. Nice to Have Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory /compute efficient model design. Strong industry and academic network in large scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems. A strong record of research impact-such as first author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open source contributions, or widely used deployed systems-especially in optimization or efficiency. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $270,000-$340,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regulated, or technically novel deployments, the ones where there is no playbook yet. Raise the technical bar. Review other FDEs' architectures, coach senior customer engineers and your own team, and set the standard for what good looks like in the field. Shape the roadmap. Synthesize patterns across every account into a clear point of view, and work directly with product and engineering leadership to prioritize what ships next. Represent Okta as a technical authority. Brief CISO, CIO, and Chief AI Officer audiences, contribute to the standards and frameworks shaping agent identity, and carry the external technical voice. Resolve what others cannot. Step into the hardest technical and political situations across accounts and find the path forward. Set the standard for evals and observability. Define how the team measures authorization latency, scope sprawl, delegation anomalies, audit completeness, and kill-switch verification, so it scales beyond any single customer. Build the team's leverage. Turn recurring field work into reusable modules, internal tooling, and enablement so the whole FDE function moves faster. Requirements Engineering depth. 10+ years shipping production software, with deep distributed systems and identity experience and a track record of staying hands-on while setting direction. Authority-level identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Contribution to standards or open source is a plus. Deep agent security fluency. OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, plus MCP, A2A, ISO/IEC 42001, and the EU AI Act, with the judgment to apply them in HIPAA, FedRAMP, and SOC 2 environments. Expert fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and command of the design tradeoffs at scale. Proven AI hands-on. Production integrations across the major agent platforms and MCP, and daily AI-native development. Force multiplier. A record of setting technical direction across multiple teams or accounts, and of mentoring senior engineers. Customer-facing authority. Credible from the IDE to the boardroom, trusted by CISOs and principal engineers alike, and steady when account politics get sharp. High agency, founder's mindset. Applied to building a function, not just an account. Ability to travel ( on occasion internationally) up to 35% (P25253_) The OTE range for this position for candidates located in the San Francisco Bay area is between: $269,000-$369,000 USD Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $240,000-$360,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta for AI Agents Okta secures access for 20,000 organizations and billions of users. Okta for AI Agents extends that work to the agentic shift. Deploying an AI agent is not like deploying traditional software. You are putting professional work output into production, and it needs deep integration, continuous tuning, and change management. Every agent needs an identity, a scope, an audit trail, and a way to be shut down when it goes wrong. Most enterprises have not built this yet. We are. We hire builders who see the cracks in enterprise agent identity that everyone else has learned to live with. The Role You are the most senior technical field authority for agent identity at Okta. Where a Senior FDE owns the outcome inside one account, you own the patterns that every account and every FDE inherits. You take the hardest and most strategic deployments yourself, set the reference architecture the team builds from, and turn what the field learns into the direction the product takes. You still write code. You also multiply the people around you, and you are the person product and engineering leadership call when an agent identity problem has no precedent. Responsibilities Own the reference architecture. Define the canonical agent identity, delegation, audit, and kill-switch patterns that Senior FDEs deploy across the portfolio, and keep them current as the standards and the product move. Lead the hardest accounts. Personally own the most strategic, regulated, or technically novel deployments, the ones where there is no playbook yet. Raise the technical bar. Review other FDEs' architectures, coach senior customer engineers and your own team, and set the standard for what good looks like in the field. Shape the roadmap. Synthesize patterns across every account into a clear point of view, and work directly with product and engineering leadership to prioritize what ships next. Represent Okta as a technical authority. Brief CISO, CIO, and Chief AI Officer audiences, contribute to the standards and frameworks shaping agent identity, and carry the external technical voice. Resolve what others cannot. Step into the hardest technical and political situations across accounts and find the path forward. Set the standard for evals and observability. Define how the team measures authorization latency, scope sprawl, delegation anomalies, audit completeness, and kill-switch verification, so it scales beyond any single customer. Build the team's leverage. Turn recurring field work into reusable modules, internal tooling, and enablement so the whole FDE function moves faster. Requirements Engineering depth. 10+ years shipping production software, with deep distributed systems and identity experience and a track record of staying hands-on while setting direction. Authority-level identity protocols. OAuth 2.0, OIDC, SAML, SCIM, RFC 8693 token exchange, act claims, CIMD and DCR, DPoP. Contribution to standards or open source is a plus. Deep agent security fluency. OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, plus MCP, A2A, ISO/IEC 42001, and the EU AI Act, with the judgment to apply them in HIPAA, FedRAMP, and SOC 2 environments. Expert fine-grained authorization. ReBAC and ABAC with policy engines (OPA, Cedar, OpenFGA, or equivalent), and command of the design tradeoffs at scale. Proven AI hands-on. Production integrations across the major agent platforms and MCP, and daily AI-native development. Force multiplier. A record of setting technical direction across multiple teams or accounts, and of mentoring senior engineers. Customer-facing authority. Credible from the IDE to the boardroom, trusted by CISOs and principal engineers alike, and steady when account politics get sharp. High agency, founder's mindset. Applied to building a function, not just an account. Ability to travel ( on occasion internationally) up to 35% (P25253_) The OTE range for this position for candidates located in the San Francisco Bay area is between: $269,000-$369,000 USD Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $240,000-$360,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
09/23/2026
Full time
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a Principal Software Engineer in our Data Infra org, you will be the primary technical leader driving the strategic vision, long-term architecture, and massive scalability of our distributed data platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role operates under high ambiguity, demanding unparalleled ownership to redefine the limits of infrastructure handling exabyte-scale workloads, and providing a unique opportunity to lead the future evolution of our global data ecosystem. You Will: Define Multi-Year Technical Strategy: Own and drive the end-to-end architectural vision for Roblox's core data platforms spanning Kafka, Flink, Spark, Trino, Druid, Airflow, and Data Catalog systems. Turn multi-year company strategies into concrete, production-grade infrastructure blueprints. Lead Cross-Functional Alignment: Partner closely with executive leadership, platform governance, data science, and product engineering teams across Roblox to align technical roadmaps with business-critical metrics. Act as a trusted technical advisor, ensuring centralized infrastructure meets strict platform requirements. Optimize Performance Engine Internals: Deep-dive into distributed engine internals, complex query planning, state management, serialization efficiency, and advanced memory optimization techniques to maximize throughput and cost-efficiency under peak compute loads. Pioneer Autonomous Agentic Interfaces: Spearhead the integration of advanced AI/ML capabilities and large language models (LLMs) within our core data platform to deliver self-serve data discovery, automated metadata generation, and intelligent autonomous interaction layers. Cultivate Engineering Excellence: Set the baseline for code quality, architectural standards, and system robustness across the organization. Mentor staff, senior, and mid-level engineers, fostering a culture of technical rigor, deep-dive post-incident analyses, and proactive chaos engineering validation. You Have: B.S. equivalent in CS or sufficient experience. 8+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. Data Platform Depth: Expert-level mastery and a deep history of building with foundational data technologies within our tech stack: Kafka, Flink, Spark, Trino, Druid, Hive, Airflow, or advanced Data Catalog / Metadata systems. Infrastructure Core Builder: A proven track record of architecting, writing, and deploying core data platform code and distributed systems from the ground up. We are looking for someone who builds the engine rather than someone who just maintains or configures existing setups. You have driven major structural overhauls and 1-to-N platform evolutions at hyper-scale (100M+ active users). Strong Engineering Foundations: Robust proficiency in Java, Go, or Scala , with a track record of writing clean, highly performant backend code. Cloud Fluency: Proven expertise managing, scaling, and troubleshooting complex stateful and stateless multi-cluster data infrastructure running on top of Kubernetes within AWS or GCP. Cross-Organizational Technical Leadership: A proven track record of influencing technical direction across a large engineering organization, leading consensus on complex architectural initiatives, and championing successful multi-quarter projects. Extreme Ownership: A history of radical accountability. You do not wait for clean specifications in high-ambiguity environments; you actively define the technical requirements, unblock dependencies, rally engineers across pods, and steer complex projects from initial whiteboard sketch all the way to production stability. Nice to Have: Contributions to open-source projects in the data infrastructure ecosystem. Experience operating infrastructure at consumer-internet scale (100M+ users). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250-$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
09/23/2026
Full time
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a Principal Software Engineer in our Data Infra org, you will be the primary technical leader driving the strategic vision, long-term architecture, and massive scalability of our distributed data platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role operates under high ambiguity, demanding unparalleled ownership to redefine the limits of infrastructure handling exabyte-scale workloads, and providing a unique opportunity to lead the future evolution of our global data ecosystem. You Will: Define Multi-Year Technical Strategy: Own and drive the end-to-end architectural vision for Roblox's core data platforms spanning Kafka, Flink, Spark, Trino, Druid, Airflow, and Data Catalog systems. Turn multi-year company strategies into concrete, production-grade infrastructure blueprints. Lead Cross-Functional Alignment: Partner closely with executive leadership, platform governance, data science, and product engineering teams across Roblox to align technical roadmaps with business-critical metrics. Act as a trusted technical advisor, ensuring centralized infrastructure meets strict platform requirements. Optimize Performance Engine Internals: Deep-dive into distributed engine internals, complex query planning, state management, serialization efficiency, and advanced memory optimization techniques to maximize throughput and cost-efficiency under peak compute loads. Pioneer Autonomous Agentic Interfaces: Spearhead the integration of advanced AI/ML capabilities and large language models (LLMs) within our core data platform to deliver self-serve data discovery, automated metadata generation, and intelligent autonomous interaction layers. Cultivate Engineering Excellence: Set the baseline for code quality, architectural standards, and system robustness across the organization. Mentor staff, senior, and mid-level engineers, fostering a culture of technical rigor, deep-dive post-incident analyses, and proactive chaos engineering validation. You Have: B.S. equivalent in CS or sufficient experience. 8+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. Data Platform Depth: Expert-level mastery and a deep history of building with foundational data technologies within our tech stack: Kafka, Flink, Spark, Trino, Druid, Hive, Airflow, or advanced Data Catalog / Metadata systems. Infrastructure Core Builder: A proven track record of architecting, writing, and deploying core data platform code and distributed systems from the ground up. We are looking for someone who builds the engine rather than someone who just maintains or configures existing setups. You have driven major structural overhauls and 1-to-N platform evolutions at hyper-scale (100M+ active users). Strong Engineering Foundations: Robust proficiency in Java, Go, or Scala , with a track record of writing clean, highly performant backend code. Cloud Fluency: Proven expertise managing, scaling, and troubleshooting complex stateful and stateless multi-cluster data infrastructure running on top of Kubernetes within AWS or GCP. Cross-Organizational Technical Leadership: A proven track record of influencing technical direction across a large engineering organization, leading consensus on complex architectural initiatives, and championing successful multi-quarter projects. Extreme Ownership: A history of radical accountability. You do not wait for clean specifications in high-ambiguity environments; you actively define the technical requirements, unblock dependencies, rally engineers across pods, and steer complex projects from initial whiteboard sketch all the way to production stability. Nice to Have: Contributions to open-source projects in the data infrastructure ecosystem. Experience operating infrastructure at consumer-internet scale (100M+ users). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250-$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
FEQ327R368 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy Experience leading competitive displacements and complex enterprise evaluations Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. About the Role ID.me is seeking a Principal Software Development Engineer to serve as the technical authority across the Person and Trust platforms - the systems that define who a person is and how much confidence ID.me can place in that identity. You will own the data model strategy, API contracts, and long-term architecture across the Person API, the Trust Service, and the Inspection Catalog, along with the verification and validation evidence that connects them. Person, Trust, and the Inspection Catalog are foundational systems at ID.me: together they determine who someone is, how inspection evidence is collected, and how much confidence to place in that identity. The role calls for deep expertise in data modeling and graph structures, applied to how verification and validation evidence and the resulting trust decisions are represented and queried. You will own how identity data is modeled - including how Person-to-SSN, Person-to-Face, and Person-to-Legal relationships are expressed - and how confidence in an identity is determined. You'll set technical direction, establish the patterns and contracts that other teams build against, and partner closely with Product, Architecture, Identity, Security, and Compliance to deliver a trustworthy foundation used by millions of users and trusted partners. Key Responsibilities Own the data model strategy and long-term architecture across the Person API, Trust Service, and Inspection Catalog, keeping all three as the authoritative source of truth for identity, evidence, and confidence. Own the API contracts across the domain, including versioning, compatibility, and governance standards that internal and external consumers depend on. Set technical direction and design standards for the domain. Mentor staff and senior engineers, raising the bar for data modeling, API design, and trust architecture across the organization - and filling the domain leadership gap with intentional, lasting technical ownership. Lead the modernization and consolidation of legacy identity data into a scalable, modular set of services and contracts. Ensure the security, privacy, and compliance of Person, Trust, and Inspection Catalog data. Required Qualifications 10+ years of software engineering experience, including significant time as a recognized technical authority for a complex domain spanning multiple systems. Deep expertise in data modeling and graph data structures, including designing schemas and relationships that remain correct, performant, and auditable at scale. Proven track record designing and owning APIs and data contracts for source-of-truth systems used by internal and external consumers. Demonstrated ability to set technical strategy and drive alignment across engineering teams without direct authority. Bachelor's degree in Computer Science or equivalent experience. Preferred Qualifications Especially important for this role: Hands-on experience with graph databases and the modeling tradeoffs between graph and relational representations of connected identity data - this is central to how we represent Person-to-SSN, Person-to-Face, and Person-to-Legal relationships. Experience modeling evidence and confidence scoring into a coherent, queryable record - specifically connecting inspection evidence from the Inspection Catalog to trust decisions in the Trust Service. Also valuable: Experience building or owning systems that model, store, and maintain person or entity attributes and relationships at scale. Expertise in NIST 800-63 IAL2/AAL2 standards, including evidence requirements, verification methods, and identity lifecycle management. Experience with cloud-native infrastructure (GCP, AWS, or Azure). Experience operating in regulated environments (security, compliance, or data privacy requirements). Familiarity with emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions). Excellent communication skills and a track record of influencing technical direction across an organization. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range $226,000-$296,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.
09/23/2026
Full time
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles - such as field-based sales or other remote-by-design positions - may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. About the Role ID.me is seeking a Principal Software Development Engineer to serve as the technical authority across the Person and Trust platforms - the systems that define who a person is and how much confidence ID.me can place in that identity. You will own the data model strategy, API contracts, and long-term architecture across the Person API, the Trust Service, and the Inspection Catalog, along with the verification and validation evidence that connects them. Person, Trust, and the Inspection Catalog are foundational systems at ID.me: together they determine who someone is, how inspection evidence is collected, and how much confidence to place in that identity. The role calls for deep expertise in data modeling and graph structures, applied to how verification and validation evidence and the resulting trust decisions are represented and queried. You will own how identity data is modeled - including how Person-to-SSN, Person-to-Face, and Person-to-Legal relationships are expressed - and how confidence in an identity is determined. You'll set technical direction, establish the patterns and contracts that other teams build against, and partner closely with Product, Architecture, Identity, Security, and Compliance to deliver a trustworthy foundation used by millions of users and trusted partners. Key Responsibilities Own the data model strategy and long-term architecture across the Person API, Trust Service, and Inspection Catalog, keeping all three as the authoritative source of truth for identity, evidence, and confidence. Own the API contracts across the domain, including versioning, compatibility, and governance standards that internal and external consumers depend on. Set technical direction and design standards for the domain. Mentor staff and senior engineers, raising the bar for data modeling, API design, and trust architecture across the organization - and filling the domain leadership gap with intentional, lasting technical ownership. Lead the modernization and consolidation of legacy identity data into a scalable, modular set of services and contracts. Ensure the security, privacy, and compliance of Person, Trust, and Inspection Catalog data. Required Qualifications 10+ years of software engineering experience, including significant time as a recognized technical authority for a complex domain spanning multiple systems. Deep expertise in data modeling and graph data structures, including designing schemas and relationships that remain correct, performant, and auditable at scale. Proven track record designing and owning APIs and data contracts for source-of-truth systems used by internal and external consumers. Demonstrated ability to set technical strategy and drive alignment across engineering teams without direct authority. Bachelor's degree in Computer Science or equivalent experience. Preferred Qualifications Especially important for this role: Hands-on experience with graph databases and the modeling tradeoffs between graph and relational representations of connected identity data - this is central to how we represent Person-to-SSN, Person-to-Face, and Person-to-Legal relationships. Experience modeling evidence and confidence scoring into a coherent, queryable record - specifically connecting inspection evidence from the Inspection Catalog to trust decisions in the Trust Service. Also valuable: Experience building or owning systems that model, store, and maintain person or entity attributes and relationships at scale. Expertise in NIST 800-63 IAL2/AAL2 standards, including evidence requirements, verification methods, and identity lifecycle management. Experience with cloud-native infrastructure (GCP, AWS, or Azure). Experience operating in regulated environments (security, compliance, or data privacy requirements). Familiarity with emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions). Excellent communication skills and a track record of influencing technical direction across an organization. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range $226,000-$296,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.
Date Posted: 2026-09-21 Country: United States of America Location: US-IA-CEDAR RAPIDS- Collins Rd NE BLDG 105 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The company will offer immigration sponsorship for this position, if needed. The company will seek an export authorization for this role, if required. RTX must be able to obtain and maintain the U.S. export authorization. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace is seeking a Principal Systems Engineer to join the Integrated Flight Systems Product Line Engineering group. This team is responsible for the design, integration, development, certification, deployment and sustaining of Avionics Systems on large business jets and Air Transport platforms including the Bombardier Global series, Airbus A220, Embraer Praetor, Comac C909, and commercial derivative programs. This is a cross-functional team of systems, software, integration, test engineers, and certification groups developing avionics system solutions on multiple platforms on current and future architectures working with domestic and foreign Certification Agencies in an Agile environment that continuously incorporates new processes and tools. We are seeking a highly skilled professional with a strong technical background in Avionics Systems Engineering. The ideal candidate will have prior experience in the development and integration of ARP4754A/DO-297 Integrated Modular Avionics (IMA) Systems, proficient in multiple aircraft subsystems. This is a hands-on position supporting requirements development, requirements-based testing execution, test script development, execution of scenario-based, robustness, and unintended function/behavior testing in a lab environment. Flexibility is necessary to maximize test assets utilization. This is an onsite position in Cedar Rapids, Iowa. What you will do: Complete assignments involving Design and Requirement Developments activities On-site execution of requirements-based testing, robustness, and Ad-Hoc testing in a lab environment (schedule flexibility is necessary during formal test phases) Be responsible for the troubleshooting and reporting of issues resulting from development cycles; the candidate will be capable of providing internal status as well as directly reporting to the OEMs as necessary. Independently operate the rig facilities during testing phases of the program and during troubleshooting activities. A solid understanding of aircraft operational fundamentals is necessary, as the candidate will be required to execute flight test scenarios to validate system functionality and performance. Test script development and execution Produce PDR/CDR packages on aircraft features and presenting them to OEMs Produce system certification level documentation Integrate and own SW/HW Work Packages and Avionics features coordinating across multiple subsystem functional areas. Estimate and bid engineering efforts Provide regular updates on program status to key stakeholders. Ensure traceability and compliance across all phases of the development lifecycle, adhering to industry standards and regulatory requirements. Collaborate effectively with engineers across multiple organizations, fostering a positive and productive team environment. Qualifications you must have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience Hands-on experience with Integrated Modular Avionics (IMA) at the system level is required Strong understanding of Avionics, aircraft Systems, and Subsystems. Demonstrated ability to work effectively in a collaborative team environment. Previous experience taking ownership of assigned work, following through on commitments, and delivering quality results. Qualifications we prefer: Knowledge across multiple Avionics functional areas. Prior experience with full development cycles, Avionics certification, and a strong understanding of lifecycle activities and deliverables for Avionics programs. Experience working within regulatory environments, including DO-254, DO-160, DO-178B/C, DO-297, ARP4754A, and FAA/TCCA/EASA standards. Proficiency in supporting testing activities, including operating rig facilities and troubleshooting during testing phases. Ability to execute flight test scenarios by leveraging a solid understanding of aircraft operational fundamentals to validate system performance. Experience with one or more of the following tools/languages is a plus: Python, MATLAB/Simulink, Cameo, or similar engineering tools. Strong written and verbal communication skills, with the ability to clearly explain technical ideas, assumptions, and issues. Strong problem-solving skills What we offer: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! Learn More & Apply Now! Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement . click apply for full job details
09/23/2026
Full time
Date Posted: 2026-09-21 Country: United States of America Location: US-IA-CEDAR RAPIDS- Collins Rd NE BLDG 105 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The company will offer immigration sponsorship for this position, if needed. The company will seek an export authorization for this role, if required. RTX must be able to obtain and maintain the U.S. export authorization. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace is seeking a Principal Systems Engineer to join the Integrated Flight Systems Product Line Engineering group. This team is responsible for the design, integration, development, certification, deployment and sustaining of Avionics Systems on large business jets and Air Transport platforms including the Bombardier Global series, Airbus A220, Embraer Praetor, Comac C909, and commercial derivative programs. This is a cross-functional team of systems, software, integration, test engineers, and certification groups developing avionics system solutions on multiple platforms on current and future architectures working with domestic and foreign Certification Agencies in an Agile environment that continuously incorporates new processes and tools. We are seeking a highly skilled professional with a strong technical background in Avionics Systems Engineering. The ideal candidate will have prior experience in the development and integration of ARP4754A/DO-297 Integrated Modular Avionics (IMA) Systems, proficient in multiple aircraft subsystems. This is a hands-on position supporting requirements development, requirements-based testing execution, test script development, execution of scenario-based, robustness, and unintended function/behavior testing in a lab environment. Flexibility is necessary to maximize test assets utilization. This is an onsite position in Cedar Rapids, Iowa. What you will do: Complete assignments involving Design and Requirement Developments activities On-site execution of requirements-based testing, robustness, and Ad-Hoc testing in a lab environment (schedule flexibility is necessary during formal test phases) Be responsible for the troubleshooting and reporting of issues resulting from development cycles; the candidate will be capable of providing internal status as well as directly reporting to the OEMs as necessary. Independently operate the rig facilities during testing phases of the program and during troubleshooting activities. A solid understanding of aircraft operational fundamentals is necessary, as the candidate will be required to execute flight test scenarios to validate system functionality and performance. Test script development and execution Produce PDR/CDR packages on aircraft features and presenting them to OEMs Produce system certification level documentation Integrate and own SW/HW Work Packages and Avionics features coordinating across multiple subsystem functional areas. Estimate and bid engineering efforts Provide regular updates on program status to key stakeholders. Ensure traceability and compliance across all phases of the development lifecycle, adhering to industry standards and regulatory requirements. Collaborate effectively with engineers across multiple organizations, fostering a positive and productive team environment. Qualifications you must have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience Hands-on experience with Integrated Modular Avionics (IMA) at the system level is required Strong understanding of Avionics, aircraft Systems, and Subsystems. Demonstrated ability to work effectively in a collaborative team environment. Previous experience taking ownership of assigned work, following through on commitments, and delivering quality results. Qualifications we prefer: Knowledge across multiple Avionics functional areas. Prior experience with full development cycles, Avionics certification, and a strong understanding of lifecycle activities and deliverables for Avionics programs. Experience working within regulatory environments, including DO-254, DO-160, DO-178B/C, DO-297, ARP4754A, and FAA/TCCA/EASA standards. Proficiency in supporting testing activities, including operating rig facilities and troubleshooting during testing phases. Ability to execute flight test scenarios by leveraging a solid understanding of aircraft operational fundamentals to validate system performance. Experience with one or more of the following tools/languages is a plus: Python, MATLAB/Simulink, Cameo, or similar engineering tools. Strong written and verbal communication skills, with the ability to clearly explain technical ideas, assumptions, and issues. Strong problem-solving skills What we offer: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! Learn More & Apply Now! Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement . click apply for full job details
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Team & Mission: In the Oracle Perception team, our mission is to build the ultimate cognitive engine for autonomous driving. We are pioneering the use of large multimodal foundation models (e.g., Gemini) to build a powerful offboard reasoning and data flywheel system. We are moving beyond traditional perception to true scene understanding and driving actions-building offboard models that can comprehend complex driving problems, predict object/scene dynamics, and deduce driving paths with logical rationale. Our core focus is advancing the VLM foundation itself. By pushing the boundaries of multimodal pre-training and state-of-the-art post-training (SFT, RL) , we are creating models capable of rich, reasoning-based autolabeling at a massive scale. This closed-loop data engine directly powers the training and evolution of Waymo's real-time onboard models. If you are passionate about defining VLM training recipes, scaling laws, and unlocking complex reasoning via RL, this is your opportunity to redefine the foundation of autonomous driving. In this hybrid role, you will report to a Senior Staff Technical Lead Manager. You Will: Drive Pre-training & Domain Adaptation: Lead the technical strategy for curating and constructing massive-scale, high-quality multimodal pre-training datasets. Define data mixture strategies to instill deep, Waymo-specific driving intuition and physics-grounded understanding into foundation models without catastrophic forgetting. Lead Post-Training & Reasoning Enhancement: Design and implement state-of-the-art fine-tuning (SFT) and Reinforcement Learning (RLHF/RLAIF, DPO/GRPO/PPO) pipelines. Drastically improve the model's instruction-following and complex reasoning capabilities (e.g., Chain-of-Thought, spatial-temporal reasoning, and driving rationale prediction). Pioneer the VLM Data Flywheel: Architect the highly scalable inference and evaluation pipelines that leverage these trained Gemini-class models to autonomously source, sample, and autolabel critical edge cases, directly accelerating the onboard perception models. Define Training Recipes & Scaling Laws: Conduct rigorous ablation studies to optimize model architectures, token budgets, and loss functions. Establish best practices for scaling multimodal training efficiently on large GPU/TPU clusters. Drive Cross-Functional AI Strategy: Act as the principal technical visionary across ML Infra, Perception, Behavior, and AI Foundation teams. Drive consensus on the data flywheel architecture and embed VLM reasoning capabilities seamlessly into the broader autonomous vehicle stack. Provide Staff-Level Technical Leadership: Own the long-term technical roadmap for foundation model development. Mentor senior engineers, lead rigorous design reviews, and establish standard-setting engineering practices from advanced prototyping to production deployment. You Have: Master's degree in Computer Science, AI, ML, or a related technical field. 8+ years of hands-on experience designing, training, and scaling deep learning models, with at least 3+ years focused deeply on training Large Language Models (LLMs) or Vision-Language Models (VLMs) . Proven expertise in the full lifecycle of Foundation Models: from pre-training data curation (interleaved formats, tokenization) and distributed training to advanced post-training techniques. Expert-level understanding of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using Python, PyTorch, or JAX, with a track record of building reliable, highly scalable ML systems. Proven ability to operate with high ambiguity, define technical roadmaps, and drive complex, multi-quarter technical initiatives across multiple teams in a fast-paced environment. We Prefer: PhD in Computer Science, Artificial Intelligence, or a related field. Strong publication record in top-tier AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) focusing on foundation models, large-scale training, reinforcement learning, or reasoning. Deep experience with advanced Reinforcement Learning paradigms applied to language or vision tasks ( focusing on improving System 2 thinking, logical deduction, and model alignment ). Demonstrated experience in Data Engineering for Foundation Models at the scale of billions/trillions of tokens (e.g., deduplication, quality filtering, synthetic data generation). Familiarity with the systemic challenges of multimodal perception in robotics or autonomous driving (e.g., 3D scene understanding, trajectory prediction). A proven track record of Staff-level impact: influencing product direction, pioneering zero-to-one ML architectures, and multiplying team efficiency through technical leadership. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Team & Mission: In the Oracle Perception team, our mission is to build the ultimate cognitive engine for autonomous driving. We are pioneering the use of large multimodal foundation models (e.g., Gemini) to build a powerful offboard reasoning and data flywheel system. We are moving beyond traditional perception to true scene understanding and driving actions-building offboard models that can comprehend complex driving problems, predict object/scene dynamics, and deduce driving paths with logical rationale. Our core focus is advancing the VLM foundation itself. By pushing the boundaries of multimodal pre-training and state-of-the-art post-training (SFT, RL) , we are creating models capable of rich, reasoning-based autolabeling at a massive scale. This closed-loop data engine directly powers the training and evolution of Waymo's real-time onboard models. If you are passionate about defining VLM training recipes, scaling laws, and unlocking complex reasoning via RL, this is your opportunity to redefine the foundation of autonomous driving. In this hybrid role, you will report to a Senior Staff Technical Lead Manager. You Will: Drive Pre-training & Domain Adaptation: Lead the technical strategy for curating and constructing massive-scale, high-quality multimodal pre-training datasets. Define data mixture strategies to instill deep, Waymo-specific driving intuition and physics-grounded understanding into foundation models without catastrophic forgetting. Lead Post-Training & Reasoning Enhancement: Design and implement state-of-the-art fine-tuning (SFT) and Reinforcement Learning (RLHF/RLAIF, DPO/GRPO/PPO) pipelines. Drastically improve the model's instruction-following and complex reasoning capabilities (e.g., Chain-of-Thought, spatial-temporal reasoning, and driving rationale prediction). Pioneer the VLM Data Flywheel: Architect the highly scalable inference and evaluation pipelines that leverage these trained Gemini-class models to autonomously source, sample, and autolabel critical edge cases, directly accelerating the onboard perception models. Define Training Recipes & Scaling Laws: Conduct rigorous ablation studies to optimize model architectures, token budgets, and loss functions. Establish best practices for scaling multimodal training efficiently on large GPU/TPU clusters. Drive Cross-Functional AI Strategy: Act as the principal technical visionary across ML Infra, Perception, Behavior, and AI Foundation teams. Drive consensus on the data flywheel architecture and embed VLM reasoning capabilities seamlessly into the broader autonomous vehicle stack. Provide Staff-Level Technical Leadership: Own the long-term technical roadmap for foundation model development. Mentor senior engineers, lead rigorous design reviews, and establish standard-setting engineering practices from advanced prototyping to production deployment. You Have: Master's degree in Computer Science, AI, ML, or a related technical field. 8+ years of hands-on experience designing, training, and scaling deep learning models, with at least 3+ years focused deeply on training Large Language Models (LLMs) or Vision-Language Models (VLMs) . Proven expertise in the full lifecycle of Foundation Models: from pre-training data curation (interleaved formats, tokenization) and distributed training to advanced post-training techniques. Expert-level understanding of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using Python, PyTorch, or JAX, with a track record of building reliable, highly scalable ML systems. Proven ability to operate with high ambiguity, define technical roadmaps, and drive complex, multi-quarter technical initiatives across multiple teams in a fast-paced environment. We Prefer: PhD in Computer Science, Artificial Intelligence, or a related field. Strong publication record in top-tier AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) focusing on foundation models, large-scale training, reinforcement learning, or reasoning. Deep experience with advanced Reinforcement Learning paradigms applied to language or vision tasks ( focusing on improving System 2 thinking, logical deduction, and model alignment ). Demonstrated experience in Data Engineering for Foundation Models at the scale of billions/trillions of tokens (e.g., deduplication, quality filtering, synthetic data generation). Familiarity with the systemic challenges of multimodal perception in robotics or autonomous driving (e.g., 3D scene understanding, trajectory prediction). A proven track record of Staff-level impact: influencing product direction, pioneering zero-to-one ML architectures, and multiplying team efficiency through technical leadership. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD
Job DescriptionJob DescriptionDescription: SUMMARY The Principal Systems Engineer serves as the technical leader for the organization's enterprise infrastructure, systems architecture, and cloud technologies. This role is responsible for designing, implementing, securing, and supporting highly available IT systems that enable business operations across all locations. The Principal Systems Engineer provides strategic direction for infrastructure initiatives, establishes engineering standards, mentors technical staff, and partners with business and IT leaders to deliver scalable, secure, and reliable technology solutions. ESSENTIAL FUNCTIONS Lead the architecture, design, implementation, and lifecycle management of enterprise server, storage, virtualization, cloud, and endpoint infrastructure. Develop and maintain enterprise standards for systems engineering, security, performance, disaster recovery, and infrastructure documentation. Serve as the technical lead for complex infrastructure projects, including system upgrades, migrations, acquisitions, and technology modernization initiatives. Evaluate business and technical requirements to recommend scalable, secure, and cost-effective infrastructure solutions. Design, implement, and maintain Microsoft Windows Server, Active Directory, Microsoft 365, Azure, virtualization platforms, backup solutions, and enterprise storage environments. Lead infrastructure planning for high availability, business continuity, disaster recovery, and cybersecurity initiatives. Monitor and optimize system performance, capacity, and reliability while proactively identifying opportunities for automation and continuous improvement. Collaborate with network, security, application, and ERP teams to ensure seamless integration and performance of enterprise systems. Manage relationships with hardware, software, and cloud vendors for support, licensing, upgrades, and strategic planning. Conduct root cause analysis for critical infrastructure issues and implement long-term corrective actions to improve system stability. Mentor Systems Engineers and IT staff by providing technical leadership, knowledge sharing, and guidance on engineering best practices. Develop and maintain comprehensive technical documentation, infrastructure diagrams, standard operating procedures, and support documentation while expanding the Welch IT playbook. Research and evaluate emerging technologies to improve infrastructure reliability, security, scalability, and operational efficiency. Provide advanced (Level 3) support and participate in an on-call rotation, including after-hours support for critical production outages. Support Welch University initiatives by developing and delivering technical training on infrastructure systems, administration, and best practices. Ensure compliance with organizational security policies, regulatory requirements, and IT governance standards. Ability to travel 25%-50% as needed regionally Perform other duties as assigned. REQUIREMENTS/QUALIFICATIONS Education: BS in Technology or Computer Sciences or similar education required. Certifications in various programming languages preferred Experience 5+ years of experience in enterprise infrastructure, architecture and long term technology strategy Automation and infrastructure optimization Technical leadership and/or mentoring Cloud infrastructure (Azure/Microsoft 365) SPECIFIC KNOWLEDGE, SKILLS OR ABILITIES Strong written and oral communication. Organization and attention to detail. Analytical and problem-solving skills. Time management. Systems analysis. Mathematical and deductive reasoning. Critical thinking. Active learning. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the functions of this job with or without reasonable accommodation. The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job. Physical Requirements: Must be able to lift 50 pounds on a repeatedly on a regular basis. Must be able to stand for 8-10 hours a day. Bend, stand, squat, twist repeatedly. Work Environment: Moderate noise (i.e., business office with computers, phones and printers, light traffic). Ability to work in a confined area. Ability to sit at a computer terminal for an extended period time. Typical office environment. Disclaimer: This list does not represent all physical demands. Descriptions are representative of those that must be met by employee to successfully perform the essential functions of the job. Reasonable accommodation may be provided to enable individuals with disabilities to perform the jobs' essential functions. Welch Packaging is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran Requirements:
09/23/2026
Full time
Job DescriptionJob DescriptionDescription: SUMMARY The Principal Systems Engineer serves as the technical leader for the organization's enterprise infrastructure, systems architecture, and cloud technologies. This role is responsible for designing, implementing, securing, and supporting highly available IT systems that enable business operations across all locations. The Principal Systems Engineer provides strategic direction for infrastructure initiatives, establishes engineering standards, mentors technical staff, and partners with business and IT leaders to deliver scalable, secure, and reliable technology solutions. ESSENTIAL FUNCTIONS Lead the architecture, design, implementation, and lifecycle management of enterprise server, storage, virtualization, cloud, and endpoint infrastructure. Develop and maintain enterprise standards for systems engineering, security, performance, disaster recovery, and infrastructure documentation. Serve as the technical lead for complex infrastructure projects, including system upgrades, migrations, acquisitions, and technology modernization initiatives. Evaluate business and technical requirements to recommend scalable, secure, and cost-effective infrastructure solutions. Design, implement, and maintain Microsoft Windows Server, Active Directory, Microsoft 365, Azure, virtualization platforms, backup solutions, and enterprise storage environments. Lead infrastructure planning for high availability, business continuity, disaster recovery, and cybersecurity initiatives. Monitor and optimize system performance, capacity, and reliability while proactively identifying opportunities for automation and continuous improvement. Collaborate with network, security, application, and ERP teams to ensure seamless integration and performance of enterprise systems. Manage relationships with hardware, software, and cloud vendors for support, licensing, upgrades, and strategic planning. Conduct root cause analysis for critical infrastructure issues and implement long-term corrective actions to improve system stability. Mentor Systems Engineers and IT staff by providing technical leadership, knowledge sharing, and guidance on engineering best practices. Develop and maintain comprehensive technical documentation, infrastructure diagrams, standard operating procedures, and support documentation while expanding the Welch IT playbook. Research and evaluate emerging technologies to improve infrastructure reliability, security, scalability, and operational efficiency. Provide advanced (Level 3) support and participate in an on-call rotation, including after-hours support for critical production outages. Support Welch University initiatives by developing and delivering technical training on infrastructure systems, administration, and best practices. Ensure compliance with organizational security policies, regulatory requirements, and IT governance standards. Ability to travel 25%-50% as needed regionally Perform other duties as assigned. REQUIREMENTS/QUALIFICATIONS Education: BS in Technology or Computer Sciences or similar education required. Certifications in various programming languages preferred Experience 5+ years of experience in enterprise infrastructure, architecture and long term technology strategy Automation and infrastructure optimization Technical leadership and/or mentoring Cloud infrastructure (Azure/Microsoft 365) SPECIFIC KNOWLEDGE, SKILLS OR ABILITIES Strong written and oral communication. Organization and attention to detail. Analytical and problem-solving skills. Time management. Systems analysis. Mathematical and deductive reasoning. Critical thinking. Active learning. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the functions of this job with or without reasonable accommodation. The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job. Physical Requirements: Must be able to lift 50 pounds on a repeatedly on a regular basis. Must be able to stand for 8-10 hours a day. Bend, stand, squat, twist repeatedly. Work Environment: Moderate noise (i.e., business office with computers, phones and printers, light traffic). Ability to work in a confined area. Ability to sit at a computer terminal for an extended period time. Typical office environment. Disclaimer: This list does not represent all physical demands. Descriptions are representative of those that must be met by employee to successfully perform the essential functions of the job. Reasonable accommodation may be provided to enable individuals with disabilities to perform the jobs' essential functions. Welch Packaging is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran Requirements:
Zillow is seeking a Principal Machine Learning Engineer to lead agentic AI systems that power our real estate marketplace. You will design, build, and deploy large-scale ML and LLM-based agents for search, recommendations, pricing, and customer experiences. Partner with data science, product, and engineering to define technical strategy, architecture, and best practices. Mentor engineers, drive experimentation, and ensure robust, reliable ML pipelines. Help shape Zillow's next generation of AI-driven products that transform how people find, rent, and buy homes in a collaborative, flexible, and inclusive culture. Responsibilities Design and lead architecture for large-scale ML and agentic AI systems powering Zillow's marketplace. Develop, deploy, and maintain production ML and LLM-based agents for search, recommendation, and pricing. Collaborate with data science, product, and engineering to define AI strategy and translate business needs into technical solutions. Establish best practices for MLOps, experimentation, and model governance for reliability and scalability. Mentor and guide engineers, fostering a culture of learning, experimentation, and inclusive collaboration. Analyze product performance, run A/B tests, and iterate on models to improve customer experience and business impact. Required Skills Machine learning Deep learning Large language models (LLMs) Reinforcement learning / agentic AIPython ML infrastructure (Kubeflow, Airflow, or similar) Cloud platforms (AWS, GCP, or Azure) MLOps and CI/CD for MLData engineering with big data tools Experimentation and A/B testing
09/23/2026
Full time
Zillow is seeking a Principal Machine Learning Engineer to lead agentic AI systems that power our real estate marketplace. You will design, build, and deploy large-scale ML and LLM-based agents for search, recommendations, pricing, and customer experiences. Partner with data science, product, and engineering to define technical strategy, architecture, and best practices. Mentor engineers, drive experimentation, and ensure robust, reliable ML pipelines. Help shape Zillow's next generation of AI-driven products that transform how people find, rent, and buy homes in a collaborative, flexible, and inclusive culture. Responsibilities Design and lead architecture for large-scale ML and agentic AI systems powering Zillow's marketplace. Develop, deploy, and maintain production ML and LLM-based agents for search, recommendation, and pricing. Collaborate with data science, product, and engineering to define AI strategy and translate business needs into technical solutions. Establish best practices for MLOps, experimentation, and model governance for reliability and scalability. Mentor and guide engineers, fostering a culture of learning, experimentation, and inclusive collaboration. Analyze product performance, run A/B tests, and iterate on models to improve customer experience and business impact. Required Skills Machine learning Deep learning Large language models (LLMs) Reinforcement learning / agentic AIPython ML infrastructure (Kubeflow, Airflow, or similar) Cloud platforms (AWS, GCP, or Azure) MLOps and CI/CD for MLData engineering with big data tools Experimentation and A/B testing
