This is a role for someone who wants to own outcomes, not just track them. You'll embed directly with the sales leaders who own a public sector market, working backwards from their top priorities to decide where engineering can change the outcome - and getting a high-caliber engineering team into the room early, before problems become escalations. It's a seat with real access: you'll build trusted relationships with senior sales and solution leaders, shape what gets built, and see your work accelerate how governments, healthcare and research organizations, educational institutions, and mission-critical agencies adopt the cloud and AI.
What sets this role apart:
- You partner upstream with the leaders who own a market - working backwards from their biggest priorities rather than waiting for work to be handed down.
- You own a portfolio of engineering engagements end-to-end - from deciding what's worth building, through delivery, to handing a finished solution off to the customer or partner who will run with it.
- You work at the intersection of Sales, Solution Architecture, and Engineering, and you're the one who drives where scarce engineering capacity creates the most impact.
- You measure success by scaled impact - solutions that many customers can reuse - not one-off projects.
- You'll co-build alongside AWS service teams and partners on problems that genuinely can't be solved any other way, using AI both to accelerate how we build and to deliver AI-powered solutions to customers.
If you're customer obsessed, comfortable with ambiguity, and energized by turning "this can't be done" into "here's how we did it," we'd love to talk.
Key job responsibilities
- Anticipate where your verticals are heading and shape strategy, getting engineering involved early where it makes the biggest difference - including where AI is the critical path
- Own the framework that decides which opportunities receive engineering investment when demand exceeds capacity, weighing scale, reuse, complexity, time-to-impact, and delivery risk
- Set and apply the bar that qualifies an engagement - scalability, reusability, multi-customer applicability, force-multiplier potential - and make the hard calls on those that don't clear it
- Work side by side with engineers through the build, making the architecture, scoping, and tradeoff decisions that determine success - you own the technical outcome, not just the schedule
- Drive co-build execution hands-on with AWS Service Teams and Partners, applying AI to accelerate delivery and create reusable patterns that benefit many customers
- Own delivery end-to-end from qualification through transfer, resolving technical and cross-team ambiguity without escalation
- Keep leadership current on investments, outcomes, and realized impact
- Influence peers and partner teams, and mentor less-experienced engineers and program managers
About the team
AWS Worldwide Public Sector Engineering (WWPSE) is a field-deployed engineering and AI team that unblocks top public sector priorities - helping partners scale, reinforcing AWS Service Teams, and building solutions that endure.
You'll be an embedded engineering lead in one of our verticals - US Federal (FedFin, FedCiv), Healthcare & Life Sciences, or State/Local Government & Education - working across Sales, Solution Architecture, and Engineering, and applying AI to how we build and what we deliver.
This is a hands-on delivery role, not a coordination one: you're in the build with engineers, making the technical calls, accountable for the outcome.
Basic Qualifications:
- 7+ years of technical product or program management experience
- 6+ years of working directly with engineering teams experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience developing and executing/delivering product and technical roadmaps
- Experience owning program strategy, managing end-to-end delivery, and communicating results to senior leadership
Preferred Qualifications:
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience building and evaluating system-level technical design
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
- 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience leading technical initiatives and key deliverables
- Experience communicating results to senior leadership, or experience using financial models, KPIs, and data analysis to support business decisions
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.
USA, VA, Arlington - 148,700.00 - 201,200.00 USD annually
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