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

Amazon Inc.; Greater London; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

Amazon AWS is seeking a product manager embedded inside an FDE delivery pod, owning the product lifecycle for customer engagements—from discovery through production delivery. You will work inside enterprise customers to define outcomes, write specs, and coordinate with engineering to ship production systems under tight timelines.

This role is field-facing, requiring 30-50% travel, and centers on delivering measurable business value through AI-enabled platforms within regulated enterprise

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.

Responsabilités

• Partner with sales and senior PMs to perform customer discovery — mapping business goals, technical landscape, and problems worth solving
• Own customer outcomes for engagements 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
• Identify what breaks or slows down across deployments and surface those findings to senior PMs and engineering

Connaissances

Enterprise product management

AI/ML product experience

Stakeholder engagement

Discovery and scoping

Production delivery

Formation

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

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

Description du poste

Job ID: 10576494 | AWS EMEA SARL (UK Branch)

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 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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.