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 for AWS's most forward-thinking customers. 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 Technical Program Managers who can orchestrate complex customer engagements from concept to delivery. If you're passionate about AI technologies, love solving ambiguous problems, and thrive on helping teams move fast while maintaining quality, this is your opportunity to shape how organizations globally approach AI adoption.
In this role, you'll own AI-focused customer engagements end-to-end, partnering with Prototyping Architects and Design Technologists to deliver breakthrough solutions. You'll work with technologies like large language models, RAG architectures, autonomous agents, and AI-driven development tools while applying Amazon's Working Backwards methodology to ensure every prototype starts with customer outcomes. This isn't a typical TPM role - you'll be at the forefront of the AI revolution, working on problems that don't have obvious answers and creating patterns that influence the entire industry.
Position requires travel - About 25% Domestic Travel, 10% International (mostly to the USA)
Key job responsibilities
- Own strategic AI-focused customer engagements from kick-off through delivery, applying Working Backwards methodology to define solution requirements, success criteria, and scope
- Facilitate PACE Prototyping Architects and Design Technologists in AI solution design and agentic architecture patterns, coordinating adoption of AI-driven development tools to accelerate delivery
- Partner with regional Sales and Solutions Architecture teams to identify and qualify Generative AI and Agentic AI opportunities, supporting PACE leadership with program-level strategy
- Build and maintain relationships with customer executives and AWS leadership through structured communications, operational reviews, and clear reporting on AI outcomes and business impact
- Establish engagement metrics, track delivery velocity, and contribute to program-level KPIs that measure success
- Develop and implement processes that improve team efficiency, prototype delivery speed, and knowledge sharing across the PACE community
- Proactively identify risks specific to AI implementations and develop mitigation strategies to ensure successful outcomes
- Apply product thinking to ensure AI prototypes are designed with responsible AI practices, production readiness, and long-term customer value
A day in the life
Your morning dives into three active prototype engagements pushing the boundaries of what's possible with Agentic AI: a retail customer building an agentic shopping assistant, a financial services firm prototyping fraud detection, and a manufacturing company exploring supply chain optimization. Each novel challenge becomes a blueprint illuminating the path for enterprises globally. You facilitate a customer working session between their data science team and your Prototyping Architect, navigating trade-offs between accuracy and latency. Mid-morning, you run a risk review identifying a data access blocker, coordinating quickly with the customer's infrastructure team and AWS Solutions Architects to unblock progress. You partner with Sales on a new opportunity, assessing feasibility and strategic fit. Afternoon brings a stakeholder sync demoing agent orchestration patterns and a team retrospective capturing breakthrough learnings. You're the connective tissue keeping engagements moving at unprecedented speed, removing blockers, ensuring quality, and shaping how enterprises adopt transformative AI.
About the team
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
- 7+ 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.
