AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Be the force multiplier that accelerates AI innovation at scale for AWS's most forward-thinking customers and partners. The AWS Prototyping and AI Customer Engineering (PACE) team builds working Generative AI and Agentic AI prototypes in days and weeks, not months, and we need a Technical Program Manager who can own and grow our partner-led engagement program. If you're passionate about AI technologies, energized by building programs that create non-linear impact through technology partners, and thrive on turning successful prototyping patterns into repeatable, scalable mechanisms, this is your opportunity to shape how organizations globally adopt AI.
In this role, you'll own PACE's partner-scaled AI prototyping program end-to-end, using an "Amazon Designed, Partner Delivered" approach. You'll take proven AI patterns (large language models, RAG architectures, autonomous agents, AI-driven development tools) and scale them through a growing ecosystem of technology partners. Day to day, you'll design and run partner enablement programs, lead partner summits, build qualification mechanisms, and expand into new partnership models. You'll create reusable assets, industry reference architectures, and blueprints that enable partners to deliver PACE-quality AI outcomes independently. This isn't a typical TPM role: you'll sit at the intersection of AI innovation and partner ecosystem strategy, working on problems that don't have obvious answers while creating programs that drive outsized business impact across the industry.
Position requires travel - About 25% Domestic Travel
Key job responsibilities Own and scale the partner-led AI prototyping program, defining strategy, qualification criteria, and growth targets that expand PACE's reach beyond the core team Recruit, enable, and manage a growing ecosystem of technology partners through the "Amazon Designed, Partner Delivered" model - from onboarding through production launch Design and operate scalable enablement mechanisms (partner summits, certification programs, feedback loops) that ensure partners deliver high-quality AI outcomes independently Create reusable assets, blueprints, and industry reference architectures that partners and field teams can deploy without direct PACE involvement Establish and track program KPIs - partner launch rates, production conversion, time-to-delivery, and business impact - using data to continuously improve the program Partner with Sales, Solutions Architecture, and field teams to route and qualify AI opportunities across direct and partner-led channels
A day in the life Your morning starts reviewing partner delivery dashboards - which engagements launched to production this week, where partners need support, and which new opportunities are queued. You jump into a call with a partner team preparing for their first AI prototype delivery, coaching them through your enablement playbook. Midday, you're designing the agenda for next quarter's partner summit. Afternoon brings a strategy session with Sales leadership on expanding the partner program into a new industry vertical, followed by a quick sync with a partner who just hit a milestone worth celebrating. You're building the machine that scales AI adoption beyond what any single team could deliver alone.
About the team The PACE team is a small, high-impact group of Prototyping Architects, Design Technologists, and Technical Program Managers who build AI prototypes at a pace most organizations can't match. You'll work alongside builders who are equally comfortable whiteboarding architecture patterns and shipping production-ready code. In this role, you'll collaborate closely with our partner ecosystem, field sales teams, and solutions architects across AWS, while helping shape how a growing network of technology partners brings AI to customers at scale. We move fast, we experiment constantly, and we measure success by what actually makes it to production.
Diverse Experiences
AWS 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.
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. Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
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.
Basic Qualifications
- Bachelor's degree in engineering, computer science or equivalent
- 6+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- 6+ years of working directly with engineering teams experience
Preferred Qualifications
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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, NY, New York - 163,600.00 - 221,300.00 USD annually USA, TX, Austin - 148,700.00 - 201,200.00 USD annually USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually