Sr Product Manager, Technical, AWS Forward Deployed Engineering (FDE)

95% of enterprise technology pilots deliver zero measurable P&L impact. The technology works - the gap is in the last mile: getting production systems running inside complex enterprises where legacy infrastructure, regulated data, and organizational complexity collide. AWS is making a billion-dollar investment in Forward Deployed Engineering to close that gap.

You are a product manager embedded inside an FDE delivery pod, owning the product lifecycle for customer engagements - from discovery through production delivery. You work directly inside enterprise customers: performing discovery, defining outcomes, writing specs, managing trade-offs, and working hand-in-hand with engineering to ship production systems under compressed timelines.

This is not a traditional AWS PM role. You are field-facing - you work with customers regularly and turn engagement learnings into platform improvements. You own the why and what for your engagements, while engineering owns the how.

Traveling 30-50% is required for this role.

Key job responsibilities

Customer Discovery and Scoping

• Partner with sales and senior PMs to perform customer discovery - mapping business goals, technical landscape, and problems worth solving
• Engage with Director-level and senior technical stakeholders at enterprise customers to understand how AI technology can address their business challenges
• Work with your engineering counterparts to define the minimum lovable product, write success criteria, and quantify expected business value Product Ownership and Delivery
• Own customer outcomes for your engagements, operating inside customer environments with real constraints - regulated data, brownfield infrastructure, multi-stakeholder governance
• Follow AI DLC to iteratively define problems, write requirements, and deliver production code in weeks, not months
• Drive solutions from launch to adoption by capturing user feedback, iterating, and proving defined business value
• Make judgment calls about what simplifications are acceptable and when a product is ready to ship versus when it needs more iteration Platform Feedback
• Identify what breaks or slows down across your deployments and surface those findings to senior PMs and engineering
• Contribute to the feedback loop between field delivery and the product/engineering roadmap
• Advocate for graduating custom pod work into reusable platform capabilities with supporting data Industry Learning and Reuse
• Build domain expertise within your engagement vertical
• Contribute to industry-specific accelerators, reference architectures, and blueprints that make future engagements faster
• Document repeatable patterns from your work so solved problems become reusable assets Go-to-Market Contribution
• Contribute to customer stories and reference architectures drawn from your engagements
• Provide field-level input on pricing, positioning, and what it takes to deliver outcomes to sales and marketing partners About the team ABOUT AWS: 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. 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. 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. 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 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. 10047

Basic qualifications

- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

- 5+ years in product management, with experience in enterprise environments

- Experience in building AI/ML products or working with agentic systems and enterprise workflow automation

- Experience defining product requirements, writing product requirements documents, and setting success criteria that align engineering execution with measurable results

- Experience engaging with Director-level or senior technical stakeholders

Preferred qualifications

- Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent

- Experience delivering production systems inside enterprise customer environments: regulated data, legacy infrastructure, organizational complexity

- Background in field-facing product management - has spent time working directly with customers on deployments from discovery through production launch

- Experience in at least one enterprise vertical: financial services, healthcare/life sciences, manufacturing, telecommunications, or public sector

- Experience with value-based scoping, including quantifying business value (ROI, P&L impact) and defining outcome-based success criteria

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