PM-T Mgr, Knowledge Products , ORBIT AI Products

Amazon • Bellevue, WA

9d • Onsite

About The Position

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.

Requirements

• 3+ years of team management experience
• 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

Nice To Haves

• Experience in software development

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, and onboarding pipelines that enable teams to expand knowledge coverage and attribution depth without bottlenecking on a central team.
• AI product quality: The knowledge and attribution layers directly determine whether AI products generate specific, actionable outputs or generic summaries. You own the quality of the foundation.
• Cross-functional integration: Partnering with execution products, workflow automation, and product standards teams to ensure clean boundaries, no gaps, and consistent definitions across the portfolio.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior