PM-T Mgr, Products , ORBIT AI

Job :  |  Services LLC

Amazon's Last Mile delivery network moves billions of packages a year. When a delivery station misses its performance target, the question isn't “what” happened— it's “why”, and “what” we should do about it. That's the problem you'll solve. You'll own the knowledge and attribution platform that sits underneath all our AI and analytics products. Think of it as the structured brain that makes our AI specific instead of generic.

When our AI assistant tells a station manager exactly why productivity dropped 10% and gives them four prioritized actions to close the gap by tomorrow instead of a vague summary—it’s because the knowledge layer you built made that precision possible. When a VP reads an auto‑generated business review and every claim traces back to a verified source with zero fabrications, it’s because the ontology you govern enforced that consistency.

This role is different from most PM‑T roles because you won’t own a surface— a dashboard, an app, a feature. You’ll own the depth: the structured knowledge, causal logic, and self‑service platform that an entire portfolio of AI products depends on. Your decisions about how metrics are defined, how causal relationships are modeled, and how teams contribute new knowledge will determine whether our AI products are trusted or ignored.

• Build and govern the enterprise knowledge system. Define canonical metric definitions, causal relationships, and operational context models that every AI and analytics product consumes. Ensure every concept has consistent meaning across dashboards, business review slides, and AI responses. Scale this across operational domains (routing, capacity, labor planning, delivery execution) and resolve conflicts in definitions across organizations.
• Own the causal attribution framework. Maintain root‑cause attribution systems that decompose metric misses into quantified drivers, separating planning failures from execution failures so leaders know exactly which lever to pull. Drive accuracy, expand coverage, and build the closed‑loop learning system that tracks which recommended actions delivered results.
• Scale the self‑service platform. Evolve the browser‑based platform—initially compressed the knowledge onboarding process from 6–8 weeks to under an hour—into an enterprise‑grade knowledge‑management system usable by any analytics team. Enforce governance at scale: define who can create metrics, modify causal relationships, handle conflicts, and maintain quality as the contributor base grows from 100 to 1,000+.

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 across Demand, Capacity, and Field Execution focus areas, as well as Central Programs that connect to network initiatives. 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.

• 8+ years of technical product management, program management, or engineering experience
• Bachelor's degree
• Experience owning and driving roadmap strategy and definition
• Experience with feature delivery and balancing trade‑offs of a product
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• 8+ years of product or program management, product marketing, business development or technology experience
• Experience developing and launching V1 products

• Experience in software development
• Experience successfully negotiating with senior leaders across a large enterprise
• MBA

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Benefits include health insurance, 401(k) matching, paid time off, parental leave, and additional support services. For more information, visit (Use the "Apply for this Job" box below)..

Location:

USA, WA, Bellevue | Salary range: $ – $ USD annually