
Sr. Product Manager Technical - AI and Automation, Amazon Music
Required skills
- AI enablement
- AI automation
- generative AI models
- agentic frameworks
- beta program
- roadmap
- KPIs
- data-driven prioritization
- user feedback
- stakeholder management
Nice to have
- AI/ML technologies
- early-access programs
- pilot programs
- team-level tool adoption
- change management
- connectivity
Role summary
Amazon Leo is seeking a Sr. Product Manager Technical focused on AI and Automation to drive efficiency within its low Earth orbit satellite network beta programs. The role involves auditing current workflows, identifying high-impact AI automation opportunities, and developing a prioritized roadmap. You will partner with engineering and AI teams to build and deploy solutions, staying current with generative AI and agentic frameworks. Success is measured by sustained impact on beta program operations, demonstrated through KPIs like user adoption, time saved, and cycle-time reduction. The ideal candidate is a self-directed builder comfortable with emerging AI technology and operational details, capable of thriving in ambiguity and driving adoption.
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
Sample Amazon interview questions
- 1
Design a Cashless Candy Dispenser for an Amazon Go store. How do you handle the hardware-software handshake and intermittent Wi-Fi?
system designmedium - 2
Design an evaluation framework for ads ranking
technicalmedium - 3
How does Google Maps compute ETA?
system designmedium - 4
Design a system to track reviews abuse on Amazon
designmedium - 5
Design a banking app for kids
designmedium
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