AmazonSr. Product Manager, Technical, Amazon Selection and Catalog Systems
Amazon is hiring a Sr. Product Manager, Technical, Amazon Selection and Catalog Systems in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- The posting mentions Inferentia2, Trainium and GPU 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
Own the vision and roadmap for MARS, a hardware-agnostic platform optimizing and benchmarking large language models across heterogeneous compute.
In this role, you will work backwards from internal customers to define a multi-year product strategy that scales MARS into a shared, self-service optimization platform. You will partner closely with science and engineering to expand the platform's capabilities—new hardware backends, quantization and distillation techniques, and automated benchmarking—while establishing the operating model, intake, and prioritization framework needed to grow adoption. You will own key business metrics such as cost per million tokens, accelerator utilization, and realized IMR savings, and communicate progress and trade-offs to senior leadership.
The ideal candidate is a technical product leader who thrives at the intersection of ML infrastructure, cost optimization, and cross-org influence, and who can turn ambiguous, high-leverage problems into measurable outcomes.
Key job responsibilities
As a Senior Product Manager – Technical for MARS (Model Accelerator and Recommender Service), you will own the product vision, strategy, and roadmap for Amazon's hardware-agnostic model optimization and benchmarking platform. MARS automatically optimizes, containerizes, and recommends optimal hosting configurations for LLMs across heterogeneous compute (Inferentia2, Trainium, and GPU), driving significant inference cost reduction and throughput gains for teams across the organization.
You will:
Define and drive the multi-year MARS product roadmap, translating cost-optimization and capacity goals into prioritized, measurable deliverables.
Partner with science and engineering to expand MARS capabilities—new hardware backends, quantization and distillation techniques, and automated benchmarking.
Work backwards from internal customers (model hosting, search ranking, catalog enrichment) to identify high-leverage optimization opportunities and unblock adoption.
Establish the MARS operating model, intake process, and prioritization framework to scale the platform as a shared service.
Own key business metrics—cost per million tokens, GPU/accelerator utilization, throughput, and realized IMR savings—and report progress to senior leadership.
Drive cross-org alignment across partner teams and lead the roadmap workshop cadence.
Manage stakeholder communication, technical trade-offs, and go/no-go decisions across the platform lifecycle.
A day in the life
1. Prioritize the MARS backlog and refine requirements with engineering and science partners.
2. Review benchmarking results, optimization performance data, and cost/utilization dashboards to inform decisions.
3. Engage internal customer teams to capture needs, resolve blockers, and drive platform adoption.
4. Lead or attend standups, roadmap workshops, and cross-org syncs; document decisions and action items.
5. Triage incoming optimization requests through the intake process and set expectations on timelines.
6. Write and update product documents (PRFAQs, roadmap artifacts, execution plans).
7. Track KPIs, escalate risks, and communicate progress to stakeholders and leadership.
Basic qualifications
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
Preferred qualifications
- Experience with AI/ML technologies
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, WA, Seattle - 151,200.00 - 204,600.00 USD annually
How we rate this
Sr. Product Manager, Technical, Amazon Selection and Catalog Systems at Amazon rates 75 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
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $151k
- Typical AI product manager job
- $178k
This posting starts 15% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where machine learning infrastructure was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where cost optimization was part of your work. What did you do?
- Walk me through how you've used Inferentia2 in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Machine Learning Infrastructure, LLM, Cost Optimization, and Inferentia2. 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.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new AI product manager jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Product roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step