Amazon.com Services LLC
Technology
PM-TMgr,KnowledgeProducts
Neural analysis suggests this role is
optimal for Senior candidates.
“PM-T Mgr, Knowledge Products at Amazon.com Services LLC. Skills: Product strategy, Roadmap development, User stories. Define product vision and strategy. Develop and maintain product roadmaps”
What You'll Achieve.
Deliver successful products; Meet customer needs; Drive business growth
Industry & Context.
Analytical skills; Problem-solving
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 5+ years of product management experience, Experience defining and launching products, Experience in a technical field
Nice to Have
Master's degree or MBA, Experience with AWS, Experience with e-commerce platforms, Experience with machine learning
What You'll Do.
Define product vision and strategy
Develop and maintain product roadmaps
Write detailed user stories and requirements
Collaborate with engineering
Launch new products and features
Analyze market trends and competitive landscape
Gather customer feedback
Manage the product lifecycle
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Design teams; Marketing teams; Sales teams; Customer support teams
Communication Scope
Stakeholder communication; Product presentations
Process & Methodology
Agile methodologies, Roadmap planning, Product backlog management
Full Job Description
ORBIT AI Products team is building the intelligence layer that powers how Amazon plans, executes, and improves delivery operations at scale. Our products including AI-powered decision assistants , causal attribution systems (ORBIT), and automated executive briefing tools serve thousands of operators and leaders across the delivery network, compressing hours of manual analysis into minutes of AI-grounded insight. We are hiring Senior Product Manages – Technical to own critical domains within this portfolio. Key job responsibilities Own the enterprise knowledge platform that all AI and analytics products depend on. You will define the ontology (canonical metric definitions, causal relationships, taxonomies), scale the Knowledge Graph, and build the self-service tooling that enables product teams to onboard new knowledge domains without deep infrastructure expertise. When our AI assistant gives a specific, grounded answer instead of a generic one, it is because the knowledge layer you built made that possible. Lead the product strategy and a team of BIEs for the "what should happen" side of the portfolio the causal attribution systems that decompose metric misses into planning-driven root causes. Your team builds the attribution trees that power ORBIT's root cause analysis, "How to Solve" recommendations, and auto-generated executive briefings. This role combines hands-on product strategy with people leadership you set the vision and develop the team to execute it. • Enterprise ontology and Knowledge Graph: Defining and governing the metric definitions, causal relationships, and operational context models that ensure consistency across all AI/analytics products (LM-YTP, LM-Pulse, ORBIT, PerfectMile). • Attribution framework: Causal decomposition systems that break metric misses (DPPH, DEA, UTR, Concessions) into specific, quantified root causes — separating planning-driven from execution-driven factors. • Builder experience and self-service tooling: APIs, interfaces, a
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