Amazon Development Center U.S., Inc.

Technology

PrincipalProductMgr-Technical,AgenticAIDevOps

$100–245k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Principal Product Mgr - Technical, Agentic AI DevOps at Amazon Development Center U.S., Inc.. Skills: Product strategy, AI/ML products, Distributed systems. Define product strategy. Develop product roadmaps”

Industry & Context.

Technology

What They're Looking For.

Must Have

5+ years of product management experience, Experience with AI/ML products, Experience with large-scale distributed systems, Experience with developer tools and platforms

Nice to Have

Experience with agentic AI, Experience with DevOps, Experience with CI/CD, Experience with cloud infrastructure

What You'll Do.

Define product strategy

Develop product roadmaps

Collaborate with engineering

Collaborate with design

Collaborate with marketing

Collaborate with sales

Manage product lifecycle

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Design teams; Marketing teams; Sales teams

Process & Methodology

Roadmap planning, User story creation

Full Job Description

Ready to define what software operations looks like in the age of agentic AI? AWS DevOps Agent has launched — and we're just getting started. This is a rare 0→1 opportunity to shape the future of how organizations run software in production, moving from reactive firefighting to AI-driven operational excellence across the full post-development SDLC. We're looking for a Principal PMT who brings deep DevOps domain expertise, a practitioner's instincts, and the vision to reimagine what's possible when agentic AI meets software delivery and operations. If you're energized by building in a space that's being defined in real time — this is that role. Key job responsibilities - Own product vision and strategy for how agentic AI transforms the way organizations ship and run software - Drive 0→1 innovation across new capability areas, from concept through launch - Develop and pressure-test business models — including pricing, packaging, and monetization strategies — that make the product viable and scalable - Work backwards from customers to define what "operational excellence" means in a world of AI agents - Build and execute go-to-market strategies, including positioning, launch planning, and strategic partnerships - Partner deeply with engineering to ship at the pace this market demands, with the technical depth to make the right tradeoffs - Engage customers and partners at the executive level to shape the roadmap and build strategic relationships across the DevOps ecosystem A day in the life On any given day, you might be in a customer call unpacking an incident workflow in the morning, in a pricing review after lunch, and whiteboarding a new capability with engineering by end of day. You know the DevOps world — the on-call rotations, the observability gaps, the pressure of a production deployment — and that shapes how you think about the product. You're comfortable going deep on details and presenting to senior leadership. You use AI tools not just to move faster, but to

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