Senior Product Manager Tech, FBA AI Science & Analytics

FBA AI Science and Analytics accelerates FBAs AI-native transformation by building integrating and scaling AI-powered data & science products and seller-facing experiences that drive operational efficiency and growth across Fulfillment by Amazon globally. Were seeking a creative industrious customer-obsessed PM who is passionate about applying GenAI techniques to solve real-world data and science challenges at scale.

As a Product Manager Tech in our FBA AI Science and Analytics organization you will lead the strategy and execution of multiple critical GenAI initiatives including but not limited to: (1) a Semantic Data Layer that delivers semantically consistent disambiguated data through a machine-readable interface to every AI application across FBAeliminating per-application integration costs metric re-derivation and the concept-entity ambiguity that drives inaccurate AI outputs; (2) an AI-Powered Anomaly Detection system that autonomously identifies diagnoses and surfaces data quality issues and business metric anomalies; and (3) a Data Deep-Dive Agent that autonomously investigates business questions through data miningsurfacing root causes trend shifts and actionable insights without manual exploration.

You will drive product innovation across unified secure and intelligent AI solutions used by seller-facing application builders across FBA as well as end-to-end AI-native experiences that solve high-frequency seller workflows from inventory optimization and inbound efficiency to demand shaping and capacity planning. Your work will directly shape a future where AI is not a separate tool for sellers to adopt but a native layer woven into every sellers decisions operations and growth strategies delivering actionable insights in minutes rather than days.


Key job 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. Collaborate with scientists to evaluate trade-offs between fine-tuned domain models and in-context learning approaches for optimal accuracy-latency balance.

Semantic Layer & Knowledge Graph Design: Own the product requirements for FBAs centralized semantic layer defining ontologies entity-relationship schemas disambiguation logic and machine-readable metadata standards that LLMs consume to produce accurate governed outputs. Work with scientists to develop techniques that minimize hallucination in downstream agents.

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. Define evaluation frameworks incorporating composite accuracy metrics confidence calibration chain-of-thought verification guardrails and human-in-the-loop fallback mechanisms.

Stakeholder & Science Partnership: Work closely with the science and tech teams on model selection fine-tuning strategies retrieval pipeline optimization and agent loop engineering. Translate research advances in LLMs tool-use and multi-agent systems into shippable product features.

Metrics & Evaluation: Define success metrics grounded in agent accuracy query correctness latency coverage and real time-savings. Own end-to-end evaluation including LLM-as-judge frameworks human evaluation protocols and A/B experimentation for agent capabilities.

Rapidly Evolving AI Landscape: Stay current with advances in foundation models agentic architectures harness engineering semantic parsing and enterprise AI tooling. Identify and prototype emerging capabilitiessuch as multi-step reasoning self-improving agents via reflection loops structured generation with constrained decoding and tool-augmented inferencefor incorporation into the product roadmap.



A day in the life
Your day-to-day responsibilities will include conducting user research analyzing adoption and productivity data and making data-driven decisions to guide product development. Youll oversee the entire product lifecycle from initial concept through launch and iteration ensuring that products meet quality standards earn user trust and deliver measurable business value. Youll partner closely with engineering and science teams to define v1 experiences that prove concepts quickly measure impact in real time and stop what isnt working even when its popular. Additionally youll be responsible for developing launch plans creating product documentation and establishing processes for measuring and reporting on product performance adoption metrics and AI-driven productivity outcomes.


- Bachelors degree in a quantitative/technical field such as computer science engineering statistics
- 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
- 7 years of technical product or program management experience
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

- Experience in building and driving adoption of new tools
- Experience with data analysis tools such as Advanced Excel SQL Tableau Python
- Experience in project management methodologies business analysis or process improvement

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 151200.00 - 204600.00 USD annually