Amazon.com Services LLC
Technology
SeniorProductManger-Tech,InfrastructureReliability
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“Senior Product Manger - Tech, Infrastructure Reliability at Amazon.com Services LLC. Skills: Product roadmap, AI-powered platform, Infrastructure reliability. Own and drive multi-year product roadmap. Define vision, strategy, and success metrics”
What You'll Achieve.
Improve mean time to resolve; Reduce lost labor hours; Improve first page resolution; Measure auto-detection rate; Measure false positive rate; Measure consolidation accuracy; Measure remediation success rate
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree, Experience owning/driving roadmap strategy and definition, Experience with feature delivery and tradeoffs of a product, Experience contributing to engineering discussions around technology decisions and strategy related to a product, Experience managing technical products or online services, Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Nice to Have
Experience in using analytical tools, Experience in building and driving adoption of new tools
What You'll Do.
Own and drive multi-year product roadmap
Write code and deliver proof-of-concepts
Prototype multi-agent reasoning pipelines
Explore anomaly detection approaches
Stress-test LLM prompt chains
Shape platform failure detection and reasoning
Engage with data scientists on model architecture
Define AI reasoning techniques application
Define multi-agent architecture
Define agent roles and communication protocols
Translate operational and technical requirements
Create prioritized backlog
Make tradeoffs between feature depth
Serve as voice of Incident Managers
Advocate for Operations Control Center stakeholders
Define and track business case
Secure continued investment
Establish performance measurement mechanisms
Iterate rapidly based on data
Drive cross-functional alignment
Ensure platform orchestration model adoption
Lead executive-level reviews
Communicate path from detection improvements to readiness
How You'll Work.
Team & Collaboration
Cross-functional alignment; Executive-level reviews
Communication Scope
Executive presentations; Stakeholder communication
Process & Methodology
Roadmap strategy, Feature delivery, Prioritization, Tradeoffs
Full Job Description
Join Amazon's Fulfillment Technologies & Robotics (FTR) team to spearhead the product vision for a platform that ensures Amazon's fulfillment network never stops — even as we move toward fully self-governing, zero-touch operations. You'll own the roadmap for an AI-powered infrastructure reliability platform that prevents, detects, and resolves incidents across thousands of fulfillment sites globally. This is a rare opportunity for a technically deep product leader who can write code, deliver proof-of-concepts, and engage as a peer with data scientists and engineers. You will shape how LLMs, multi-agent systems, and machine learning are applied to one of the most operationally critical platforms Amazon has ever built — and your hands-on technical contributions will directly accelerate the team's ability to move from idea to production. Key job responsibilities - Own and drive the multi-year product roadmap for the Infrastructure Reliability AI-Ops platform, spanning three strategic programs: zero-touch incident resolution, associate-directed work tooling, and predictive failure prevention. This means defining the vision, strategy, and success metrics for AI-powered progressive detection, incident consolidation, self-governing remediation orchestration, and cross-domain observability capabilities that serve thousands of fulfillment sites globally. - Go beyond traditional product management by writing code and delivering working proof-of-concepts that validate technical hypotheses before committing engineering resources. Whether prototyping a multi-agent reasoning pipeline, exploring a new anomaly detection approach, or stress-testing an LLM prompt chain against real incident data, you will use your technical skills to compress the distance between idea and validated direction. - Bring deep knowledge of machine learning fundamentals and apply that knowledge to shape how the platform detects, consolidates, and reasons about failures. You will engage meaningfully with da
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