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Amazon

Principal Product Mgr - Tech, Ontology

Amazon is hiring a Principal Product Mgr - Tech, Ontology in Seattle, United States. It pays $198k-$268k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Level classes it as a lead role.
  • Amazon has 21,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Amazon's Catalog Ontology is the shared product-knowledge layer that powers experiences across the entire Stores ecosystem. Every time a customer searches, browses, or buys, structured product knowledge is working behind the scenes to deliver accurate discovery, trustworthy information, and broad selection. This is the first time the ontology is getting a dedicated Principal Product Manager - Technical to treat it as a product in its own right. You will define the product strategy from the ground up, drive adoption across the downstream domains that depend on it, and shape a roadmap whose benefits compound across the Stores business. If you are a technical product leader who does your best work in ambiguous, cross-organizational spaces and wants to own a problem where one good decision makes dozens of teams more effective, we want to talk to you.

Key job responsibilities
Own the end-to-end product vision and multi-year roadmap for the Catalog Ontology, treating it as a shared platform product consumed across all Amazon Stores surface areas.
Develop and drive an adoption strategy that gets downstream consumers — Shopping CX, Listing Ingestion, Fulfillment Systems, and beyond — to build on the ontology, producing the narratives, mechanisms, and reporting that lower the barrier to adoption.
Define and continuously improve the metrics that measure ontology adoption, data quality, and downstream customer impact, and use that data to inform trade-off decisions between long-term ontology investments and immediate consumer-team needs.
Influence engineering and science partners on schema-modeling decisions, ontology structure, and knowledge-graph architecture so the ontology scales across the Stores business and supports emerging AI and personalization experiences.
Partner across downstream domains and senior leadership to deliver a coherent, well-adopted product rather than point solutions, building consensus across organizations that each have their own priorities.

A day in the life
You might start by reviewing adoption and data-quality metrics, then shift into writing or refining a product narrative that explains the ontology's value to a new downstream team. Midday could bring a technical design review with engineering and science partners, where you evaluate schema-modeling trade-offs — how a change to an ontology class or constraint rule will ripple across multiple surfaces. Later, you may meet with senior leaders across Shopping CX, Listing Ingestion, or Fulfillment to align on shared goals and unblock cross-org dependencies. Growth here comes through expanding the scope and ambiguity you take on: the role sits at the intersection of three active charters, and you can move laterally across the full product-knowledge arc, from how selection enters the catalog to how it powers discovery, personalization, and fulfillment.

About the team
Our team owns the structured product knowledge that Shopping CX, Listing Ingestion, and Fulfillment Systems all depend on. While most product teams own a single surface, we operate upstream of nearly everything a customer sees — giving us horizontal leverage across the Stores business. The ontology is also the connective tissue for two major strategic investments: AI-powered shopping experiences and scaling how new selection is listed and ingested into the catalog. . We pair deep ontology, taxonomy, and schema expertise with broad cross-organizational product strategy, and we are looking for someone who can think like a platform provider and a customer-experience owner at the same time.

Basic qualifications

- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management

Preferred qualifications

- Experience working directly with Engineers on product enhancements
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, NY, New York - 197,900.00 - 267,800.00 USD annually
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

How we rate this

Principal Product Mgr - Tech, Ontology at Amazon rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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