Level

Amazon

Sr. Product Manager Technical - AI and Automation, Amazon Leo

AI in this role

Leads AI enablement and automation product strategy for satellite network beta programs, driving operational efficiency.

generative-aiagentic-frameworks
ai-agentsai-automationproduct-managementworkflow-optimizationroadmapping
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.

As the product owner for AI enablement in this space, you will start by auditing how beta teams work today, mapping workflows, pain points, and repetitive manual tasks to identify the highest-impact opportunities for AI automation or augmentation. You will turn those opportunities into a clear, prioritized roadmap and partner with beta program leads, engineering, and AI teams to build, integrate, and deploy solutions. You will stay current on emerging generative AI models, agentic frameworks, and beta-specific AI tooling, and you will test, evaluate, and benchmark candidate tools against real team use cases to make informed build-versus-adopt recommendations. You will collaborate with the broader Amazon AI and beta communities to surface best practices, reuse existing solutions, and find opportunities to partner. To drive impact, you will lead and document trainings that drive adoption among beta program leads and the wider Experience Validation team.

Key job responsibilities
Success in this role is measured by real, sustained impact on how your beta programs operate. You will establish clear KPIs for adoption and value—active user rates, time saved per task, output quality improvements, and cycle-time reduction—and track them over time to demonstrate ROI and guide your roadmap. You will use data and user feedback to iterate, retire what isn't working, and double down on what is. The ideal candidate is comfortable both exploring emerging AI technology and getting close to operational workflows to understand where the friction really is. You are a self-directed builder who thrives in ambiguity, communicates crisply, and is energized by using AI to help a fast-growing organization do more with less.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Basic qualifications

- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- 5+ years of product management, technical program management, or equivalent experience owning products or programs end to end
- Experience identifying process/workflow inefficiencies and delivering tooling or automation to address them
- Hands-on familiarity with generative AI models and/or agentic workflows and how to apply them to real use cases
- Experience defining KPIs, measuring outcomes, and using data to prioritize and demonstrate impact
- Strong stakeholder management skills and the ability to drive adoption and influence without authority

Preferred qualifications

- Experience with AI/ML technologies
- Familiarity with beta, early-access, pilot, or experience-validation programs
- Experience driving team-level tool adoption and change management
- Background in connectivity, hardware, telecommunications, or other technical products
- Experience partnering with engineering and applied-science teams to ship AI capabilities

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, Redmond - 151,200.00 - 204,600.00 USD annually

How we rate this

Sr. Product Manager Technical - AI and Automation, Amazon Leo 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.

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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI AutomationProduct ManagementWorkflow OptimizationRoadmappingGenerative AIAgentic Frameworks

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where product management was part of your work. What did you do?
  4. Tell me about a project where workflow optimization was part of your work. What did you do?
  5. Tell me about a project where roadmapping was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, AI Automation, Product Management, Workflow Optimization, and Roadmapping. 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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