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

AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Amazon Web Services Singapore Private Limited is seeking a field-facing Product Manager embedded inside an Forward Deployed Engineering delivery pod. You will own the product lifecycle for customer engagements, from discovery through production delivery, working with enterprise customers under compressed timelines.

You will collaborate with engineering to ship production systems, translate engagement learnings into platform improvements, and own the why and what for your engagements while

Qualifications

• 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 specifications.

Responsibilities

• Partner with sales and senior PMs to perform customer discovery and map goals, landscape and problems worth solving.
• Own customer outcomes, define minimum lovable product, and drive production delivery in constrained environments.
• Contribute to the product/engineering roadmap by surfacing deployment issues and feedback from field delivery.
• Build domain expertise within engagement vertical and document repeatable patterns for future use.
• Provide field input on pricing, positioning, and deliverables to sales and marketing partners.

Skills

Product management

Enterprise environments

AI/ML products

Requirements writing

Education

Bachelor's degree in CS/Engineering/Analytics

Job description

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.

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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