Principal Product Manager, Technical ES, Mission AI

F3 Learning; Arlington (VA); On-site; USD 181,000 - 245,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking a Principal Product Manager for Mission AI. You will own the product strategy for AI capability in a fixed on-premises GPU environment and work with AWS teams to deliver mission-critical AI solutions for a national security customer.

You will define success criteria and drive the program from lab to field use. You will lead engagement with customer leaders, analysts, and operators, translating mission needs into requirements, and shaping the

Qualifications

• 7+ years as Technical Product Manager.
• 5+ years technical experience in software/network/IT.
• Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for full product lifecycle.

Responsibilities

• Own the product vision and multi-year roadmap for mission AI capability.
• Run discovery with customer technical leads, analysts, and operators to find and rank high-value mission use cases.
• Define what success means for each use case and set evaluation standards.
• Translate mission needs into functional and technical requirements and manage trade-offs.
• Own launch readiness inside the accredited environment and ensure operational handoff.
• Shape future task orders and drive service success.
• Be accountable for outcomes and report progress in reviews.
• Own customer engagement across the service lifecycle and manage escalations.

Skills

7+ years as Technical Product Manager

5+ years technical experience

Job description

Principal Product Manager, Technical ES, Mission AI

Job ID: 10602326 | Amazon Development Center U.S., Inc.

Some of the most consequential AI work in the country happens where the internet does not reach. As the Principal Product Manager for Mission AI, you will decide what that work becomes. You will own the product strategy for AI capability delivered on one of the largest AI infrastructure programs AWS has ever taken on: a dedicated, accredited GPU environment where strong open-weight and Amazon models are adapted to a national security customer's own data and problems.

There is no established product playbook for this. Public benchmarks, model hubs, and package repositories are not available inside the environment, compute is a fixed on-premises fleet, and the customer's mission needs are still being defined. You will work directly with the customer's technical leaders, analysts, and operators to find the problems worth solving, then turn them into clear requirements that scientists and engineers can build against. You will decide what ships first, what \"better than the base model\" has to mean before we claim it, and how capability moves from the lab to the people who rely on it. You will also set product direction for the program's infrastructure product manager, so platform and AI capability run as one roadmap.

You join at the start. The lab's first scientists are being hired now, and the decisions you make in your first year shape both what the program delivers and what it is asked to deliver next.

The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities

• Own the product vision and multi-year roadmap for mission AI capability: adapted models, evaluation suites, and the inference and agentic services the customer's engineers integrate into their mission systems.
• Run discovery with customer technical leads, analysts, and operators to find and rank the highest-value mission use cases, and write the narratives (PR/FAQ, strategy documents) that drive investment decisions.
• Define what success means for each use case before work starts, partnering with the lab's science leads to set evaluation standards and the margin a model must clear to count as an improvement.
• Translate mission needs into functional and technical requirements, and make the trade-offs between capability, compute budget, schedule, and accreditation constraints.
• Own launch readiness inside the accredited environment: technical readiness, independent verification and validation, accreditation and authorization gates, operational handoff, and customer adoption.
• Shape future task orders: build the evidence-backed business case and scope for the next wave of mission AI work, partnering with program, contracts, and finance.
• Be accountable for outcomes: track adoption, mission impact, and delivery against goals, and report progress in program and executive reviews.
• Own customer engagement across the service lifecycle: adoption, optimization, problem resolution, and evolution of each capability once it is in mission use. Own escalations on the services you ship and dive deep with engineers to resolve them.
• Influence the engineering roadmaps of the customer's technical decision makers, so their mission systems are built to take advantage of what the lab delivers next.
• Write architecture and technical requirements documents for the lab's services, and contribute to engineering design reviews on how they are built, served, and scaled.
• Partner with Tech Business Development, Solutions Architects, ProServe, and engineering leaders inside and outside AWS to drive service success.
• Set product direction for and mentor the program's infrastructure product manager, and help hire and develop the product team as the program scales.

A day in the life

You start the morning reading the overnight evaluation results with the lab's scientists, checking whether an adapted model has cleared the bar you agreed with the customer for a priority mission task. Mid-morning, you work with customer analysts on a workflow they run every day, looking for the step where a model would change their outcome rather than just their speed. After lunch, you review the infrastructure team's serving plan and decide whether the next release can meet its accreditation gate on schedule or needs to be re-scoped. You close the day drafting the business case for a capability the customer has not asked for yet, but that the evidence says they will need in the next task order.

About the team

The Mission AI Model Lab is the science team behind AWS's Mission AI program. We take existing models and make them useful for problems that matter to national security, working on dedicated AI infrastructure built for exactly that. This lab is purpose-built and these are among its first scientists, so the people who join now help shape how it works and what it builds. We sit where frontier-model research meets national security delivery, and we value invention on genuinely new problems, evaluation we can defend, and plain talk with the people who rely on what we build.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

AWS Infrastructure Services (AIS)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications

• 7+ years of working as a Technical Product Manager experience
• 5+ years of technical (software development, network development, IT, other related) experience
• Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

Preferred Qualifications

• 7+ years of technical (software development, network development, IT, other related) experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Preferred Qualifications

• 7+ years of technical (software development, network development, IT, other related) experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, VA, Arlington - 181,100.00 - 245,000.00 USD annually