AmazonPosted 2w ago

Sr. PMT-ES, Amazon Bedrock

Sr. PMT-ES, Amazon Bedrock at Amazon scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (US, WA, Seattle)seniorfull-time$152k-$206k

AI in this role

Owns product strategy and lifecycle for Amazon Bedrock generative AI services targeting developers.

bedrockaws-bedrock

ai-safetyproduct-managementgenerative-aifoundation-modelscloud-computing

In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love.

We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models.

As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results.

You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect.

A successful candidate will bring:
- Proven experience launching technical products and building business around them
- Strong business acumen with the ability to own a P&L and drive revenue outcomes
- Deep curiosity about generative AI, foundation models, and the developer ecosystem
- Comfort operating in ambiguity within a fast-moving organization
- The ability to earn trust across engineering, science, and business teams
- Desire to have industry-wide impact on how AI is built, deployed, and governed

Key job responsibilities
Lead Product Definition – Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction.

Define Product Vision – Including all aspects to future roadmap, investment, innovation and experimentation.

Execution of Product Planning and Development – Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning.

Lead Product Launch – Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans.

Lead Operations – Including monitoring and response to customer feedback, continuous improvement and business growth

Lead interaction with Technical Team – Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product.

Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership.

Basic qualifications

- 5+ years of technical product management with internet business experience
- 5+ years of working as a Technical Product Manager experience
- 3+ years of technical (software development, network development, IT, other related) experience
- 7+ years of full product life cycle experience
- 5+ years of P&L management and pricing experience
- 5+ years of creating written docs for development of new products experience
- 5+ years of enterprise security product experience
- 5+ years of product management in the cloud computing technology space experience
- Bachelor's degree in computer science, engineering, math, finance, or economics
- Experience in taking a product from conception & definition phase through engineering design and taking it to market
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

Preferred qualifications

- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience working within teams delivering software products and features using agile methodologies

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 - 152,200.00 - 205,900.00 USD annually

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 SafetyProduct ManagementGenerative AIFoundation ModelsCloud ComputingBedrockAws Bedrock

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where foundation models was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Safety, Product Management, Generative AI, Foundation Models, and Cloud Computing. 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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