Senior GenAI Product Manager: Data Science & AI Analytics

Amazon; Bellevue (WA); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon in Bellevue, WA is seeking a Product Manager Tech within the FBA AI Science and Analytics organization to lead GenAI initiatives at scale, building semantic data layers, anomaly detection, and data deep-dive agents that empower seller-facing apps.

You will own the product roadmap, partner with applied scientists and engineers, define evaluation frameworks, and drive measurable AI-driven productivity across high-frequency seller workflows.

Qualifications

• 7+ years of technical product or program management experience.
• 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.
• Experience representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning.
• Bachelor's degree in a quantitative/technical field such as CS/engineering/statistics.

Responsibilities

• GenAI Product Strategy & Roadmap: Define and execute the product vision for LLM-powered science and data agents, spanning prompt engineering strategies, retrieval-augmented generation (RAG) architectures, semantic parsing, and agent orchestration frameworks that enable autonomous reasoning at scale.
• Semantic Layer & Knowledge Graph Design: Own the product requirements for FBA's centralized semantic layer, defining ontologies, entity-relationship schemas, disambiguation logic, and machine-readable metadata standards that LLMs consume to produce accurate, governed outputs.
• LLM Agent Development: Partner with applied scientists and engineers to design, evaluate, and ship production LLM agents across multiple FBA domains for internal and seller-facing applications.
• Stakeholder & Science Partnership: Work closely with the science and tech teams on model selection, fine-tuning strategies, retrieval pipeline optimization, and agent loop engineering.
• Metrics & Evaluation: Define success metrics grounded in agent accuracy, query correctness, latency, coverage, and real time-savings.
• Rapidly Evolving AI Landscape: Stay current with advances in foundation models, agentic architectures, harness engineering, semantic parsing, and enterprise AI tooling.

Skills

Roadmap strategy

Product delivery

Engineering collaboration

Executive stakeholder advocacy

Education

Bachelor's degree in quantitative/technical field

Tools

SQL

Tableau

Python

Advanced Excel

Job description

Amazon in Bellevue, WA is seeking a Product Manager Tech within the FBA AI Science and Analytics organization to lead GenAI initiatives at scale, building semantic data layers, anomaly detection, and data deep-dive agents that empower seller-facing apps.

You will own the product roadmap, partner with applied scientists and engineers, define evaluation frameworks, and drive measurable AI-driven productivity across high-frequency seller workflows.