AmazonSenior Product Manager
Amazon is hiring a Senior Product Manager in Austin, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions AI agents, AI automation and product strategy among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Senior Product Manager to own product strategy for AI-powered merchant intelligence tools and forecasting models.
Whole Foods Market is known as the number one grocer suppliers want to be in, and our merchants are central to that reputation. Your job is to make them faster, sharper, and more confident in their decisions, whether that's through AI agents that surface insights at the point of decision, forecasting models that replace legacy planning systems, or data integrations that give merchants end-to-end visibility from supplier to shelf. You'll partner closely with engineering, UX research, analytics, and business teams spanning Amazon and WFM to translate complex technical capabilities into tools merchants trust and adopt.
Key job responsibilities
Own the product strategy and roadmap for AI-powered merchant intelligence tools, including adoption strategy, capability governance, and merchant enablement
Lead cross-functional execution of forecasting model migration: defining success criteria, orchestrating data readiness, managing cross-team dependencies, and driving go/no-go decisions
Drive data integration and catalog harmonization initiatives across multiple systems and organizations, resolving complex upstream and downstream dependencies
Define product requirements for new analytical capabilities, including store clustering, category intelligence, and assortment optimization, from problem framing through OP1 commitment
Earn merchant trust through direct engagement: translating technical capabilities into business value, validating solutions in the field, and building feedback loops that inform the roadmap
Navigate a complex stakeholder landscape spanning product, engineering, supply chain, UX, and merchandising organizations across both Amazon and Whole Foods Market
A day in the life
You'll move between strategic planning and hands-on execution in a single day. One hour you're reviewing AI capability adoption trends and refining the product roadmap, the next you're in a cross-functional sync resolving data dependencies with engineering and analytics partners. After lunch, you might walk category managers through a new capability prototype, then pivot to a UX research debrief that reshapes how you think about the planning workflow. You'll regularly translate between technical ML conversations and practical merchant needs. Expect to partner with teams across Amazon and WFM, navigate ambiguity, and drive clarity where there isn't any yet.
About the team
Our team builds the tools and platforms that Whole Foods Market category managers rely on to plan, price, promote, and merchandise products. Our portfolio spans assortment planning, pricing optimization, promotions planning, and space and merchandising execution, all powered by a shared data foundation and increasingly driven by AI. We're at an inflection point: transitioning from legacy planning systems to intelligent, data-driven capabilities that change how merchants work. We build in close partnership with Amazon's retail, technology, and operations teams. We move fast, operate with high ambiguity, and value PMs who earn trust with both engineers and merchants.
Basic qualifications
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience as a product manager or owner
- Experience owning feature delivery and tradeoffs of a product
- Experience in influencing senior leadership through data driven insights
Preferred qualifications
- Experience owning/driving roadmap strategy and definition
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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, TX, Austin - 136,000.00 - 184,100.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,100.00 USD annually
How we rate this
Senior Product Manager at Amazon rates 65 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $136k
- Typical AI product manager job
- $178k
This posting starts 23% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where product strategy was part of your work. What did you do?
- Tell me about a project where forecasting models was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, Product Strategy, Forecasting Models, and Supply Chain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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