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

Overview

In this role you act as a product manager embedded in an FDE pod, guiding customer engagements from discovery to production delivery. You’ll work directly with enterprise customers to define outcomes, write specs, and drive towards production systems under tight timelines. You own the why and what, while engineering handles the how, and you translate field learnings into platform improvements. You’ll travel 30–50% to work hands-on with customers and shape scalable solutions that deliver measurable value.

Pay / Benefits

• work-life balance
• flexibility
• mentorship and career growth
• inclusive team culture

Responsibilities

• Customer discovery and scoping with sales and senior PMs to map goals and problems worth solving
• Engage enterprise stakeholders to understand AI-driven business challenges and define minimum lovable product and success criteria with engineering
• Own customer outcomes in regulated, brownfield, multi-stakeholder environments and drive production delivery in weeks
• Iterate from launch to adoption by collecting feedback and proving business value
• Identify bottlenecks across deployments and feed insights to senior PMs and the roadmap
• Contribute to industry accelerators, reference architectures, and reusable patterns
• Support GTM with customer stories, reference architectures, and field input on pricing and positioning

Key requirements

• Bachelor’s degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• 5+ years in product management in enterprise settings
• Experience building AI/ML products or enterprise workflow automation
• Experience defining product requirements and success criteria aligned with engineering execution
• Experience engaging with director-level or senior technical stakeholders

• Strong stakeholder management
• Ability to work cross-functionally with sales, engineering, and leadership
• Decision-making under ambiguity
• AI/ML product experience
• Enterprise workflow automation
• Defining PRDs and success criteria

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