Senior Product Manager - GenAI Data & AI Science Platforms

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Product Manager - Tech for FBA AI Science & Analytics to lead GenAI initiatives across semantic data layer, anomaly detection, and data deep-dive agents. You will shape product strategy, drive cross-functional execution, and deliver AI-native experiences for seller workflows at scale.

You will collaborate with applied scientists and engineers to design evaluation frameworks, optimize retrieval pipelines, and measure impact with real-time metrics, balancing accuracy and

Qualifications

• Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics.
• 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 with data analysis tools such as Advanced Excel, SQL, Tableau, Python.

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

Stakeholder management

Cross-functional collaboration

Technical product mgmt

Executive-level prioritization

Education

Bachelor's degree in a quantitative/technical field

Tools

SQL

Tableau

Python

Advanced Excel

Job description

Amazon is seeking a Senior Product Manager - Tech for FBA AI Science & Analytics to lead GenAI initiatives across semantic data layer, anomaly detection, and data deep-dive agents. You will shape product strategy, drive cross-functional execution, and deliver AI-native experiences for seller workflows at scale.

You will collaborate with applied scientists and engineers to design evaluation frameworks, optimize retrieval pipelines, and measure impact with real-time metrics, balancing accuracy and