Amazon.com Services LLC

Project/Program/Product Management--Technical, Product Management - Technical, transportation and logistics

SrManager,LearningIntelligence(PMT)

$178–308k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr Manager, Learning Intelligence (PMT) at Amazon.com Services LLC. Skills: Product strategy, Technical roadmap, Learning intelligence. Define product vision. Deliver product strategy”

What You'll Achieve.

Enable faster decisions; Enable higher-quality decisions; Support real-time intelligence; Support long-term scalability; Measure quantifiable outcomes

Industry & Context.

Project/Program/Product Management Technical, Product Management Technical, transportation and logistics
Problems you'll solve

Systems-level thinking; Operate in ambiguity; Data-driven insights

What They're Looking For.

Must Have

6+ years team management, Bachelor's degree, Own/drive roadmap strategy, Feature delivery tradeoffs

Nice to Have

Deliver consumer software products, 10+ years product management, Product marketing experience, Business development experience, Technology experience

What You'll Do.

Define product vision

Deliver product strategy

Define technical roadmap

Own impact-measurement framework

Introduce self-service analytics

Introduce natural-language data access

Introduce predictive insights

Collaborate with Data Engineering

Collaborate with Applied Science

Collaborate with Measurement Science

Collaborate with Software Development

Collaborate with global Learning teams

Define platform architecture

Define technical mechanisms

Define integration patterns

Influence Director+ stakeholders

Influence VP stakeholders

Drive alignment on PRFAQs

Drive alignment on 6-pagers

Write technical strategy documents

Drive alignment on technical strategy documents

Develop platform vision

Maintain platform vision

Make pragmatic trade-offs

Evaluate opportunities

Measure platform success

How You'll Work.

Team & Collaboration

Cross-functional teams; Senior stakeholders; Executive stakeholders

Communication Scope

Written narratives; Data insights

Process & Methodology

Roadmap strategy, Feature delivery, Tradeoffs

Full Job Description

We are seeking a Sr Manager, Product Management - Tech to define and deliver the vision, strategy, and technical roadmap for Amazon’s Learning Intelligence Platform, a unified, intelligence-based ecosystem that consolidates fragmented learning data, systems, and definitions into a single, governed source of truth. In this highly visible role, you will own the end-to-end product strategy for a standardized impact-measurement framework, introduce self-service analytics, natural-language data access, and predictive insights that enable operators to make faster, higher-quality decisions at scale. You will collaborate closely with Data Engineering, Applied Science, Measurement Science, Software Development, and global Learning teams to define the platform architecture, data models, technical mechanisms, and integration patterns that support real-time intelligence and long-term scalability. You will influence Director+ and VP stakeholders using clear written narratives, measurable outcomes, and durable mechanisms. This role requires deep technical fluency, systems-level thinking, and the ability to operate in ambiguity while driving alignment across organizations. Key job responsibilities - Own the vision and product strategy for Amazon’s enterprise Learning Intelligence Platform, unifying siloed systems, disparate data models, and inconsistent metrics into a cohesive, governed ecosystem. - Define, align, and operationalize a standardized impact-measurement framework including core definitions, taxonomies, metrics, and validation mechanisms across global learning teams. - Create mechanisms for self-service insights, including natural-language querying, guided workflows, and automated/predictive intelligence that enable immediate actionability. - Partner with Data Engineering and Science teams to define the technical architecture: semantic layers, data pipelines, real-time event ingestion, APIs, and metadata governance. - Build a durable roadmap that sequences foundational

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