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, 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.
About the team
The Last Mile ORBIT (Operations Reporting, Business Intelligence, and Technology) team is democratizing analytics through AI to enable data-driven decision-making at every level of Last Mile operations worldwide. We deliver analytics products that drive Speed, Cost, and Quality outcomes through Focus Areas (Demand, Capacity, Field Execution) for domain ownership, Central Programs (Speed, Cost, Quality) connecting to network initiatives, and job family expertise (Product, Program, BIE, DE, Architecture, TPM, Science) working as one integrated system.
Our capabilities span AI-enabled analytics, near real-time operational support, and traditional business intelligence reporting. The Data Engineering team operates on three pillars: Data Organization (single source of truth, governance, AI-readiness), Near Real-Time enablement, and Production Application Platforms. Business Intelligence Engineers serve as techno-functional solution owners, translating operational complexity into scalable analytics products.
