About the role
What will you do at Amazon?
The AGI organization is building the most advanced AI capabilities in the world.
We’re looking for a Principal PMT-ES to own the strategy and delivery of
externally-launched AI services that bring state-of-the-art models and
capabilities directly to AWS customers.
You’ll define what these services look like, how customers adopt them, and how
they scale. This is a high-ambiguity, high-ownership role — you’ll work across
science, engineering, and GTM to turn research into production AWS services with
public availability, pricing, and customer growth.
Key job responsibilities
• Own product strategy, roadmap, and business outcomes for customer-facing AI
service(s) within the AGI organization
• Work backwards from customer needs to define how SOTA AI capabilities become
generally-available AWS services
• Drive the full product lifecycle from concept through public launch through
growth — including pricing, packaging, and adoption strategy
• Partner with science and engineering teams to make the right capability and
timeline tradeoffs
• Engage directly with customers and field teams to shape the roadmap and
validate product-market fit
• Own the P&L, business metrics, and operational health of your service(s)
• Represent the product to AWS leadership with crisp written narratives (PRFAQs,
pricing docs, strategy docs, business reviews)
About the team
AGI AI Services takes models built within Amazon’s AGI organization and turns
them into production AWS services that customers rely on every day. We own the
full stack from service definition to GA launch through long-term growth —
pricing, availability, operational excellence, and customer adoption. Our
portfolio spans speech, language, information, vision, and multimodal AI
capabilities serving hundreds of thousands of AWS customers.
This is a team where product managers work shoulder-to-shoulder with scientists
and engineers. You’ll be close to the research — understanding what’s newly
possible — and close to customers — understanding what actually matters. The
pace is high, the ambiguity is real, and the opportunity to shape how the world
uses AI is immediate.
Basic
Qualifications
- - 7+ years of working as a Technical Product Manager
- experience
- - 5+ years of technical (software development, network development, IT, other
- related) experience
- - 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
- - Experience developing, deploying and
- managing AI products at scale
- - Experience with training and deploying machine learning systems to solve
- large-scale optimizations, or experience dealing effectively with customers
- during problem resolution and operating efficiently under pressure
- - Experience communicating complex business concepts in verbal and written form
- - Knowledge of AWS services, market segments, customer base and industry
- verticals
- - Track record of launching and scaling 0-to-1 products in ambiguous,
- fast-moving domains
- - Experience working directly with applied science and research teams —
- translating customer requirements into model capabilities and translating model
- advances into product features
- Amazon is an equal opportunity employer and does not discriminate on the basis
- of protected veteran status, disability, or other legally protected status.
- Los Angeles County applicants: Job duties for this position include: work safely
- and cooperatively with other employees, supervisors, and staff; adhere to
- standards of excellence despite stressful conditions; communicate effectively
- and respectfully with employees, supervisors, and staff to ensure exceptional
- customer service; and follow all federal, state, and local laws and Company
- policies. Criminal history may have a direct, adverse, and negative relationship
- with some of the material job duties of this position. These include the duties
- and responsibilities listed above, as well as the abilities to adhere to company
- policies, exercise sound judgment, effectively manage stress and work safely and
- respectfully with others, exhibit trustworthiness and professionalism, and
- safeguard business operations and the Company’s reputation. Pursuant to the Los
- Angeles County Fair Chance Ordinance, we will consider for employment qualified
- applicants with arrest and conviction records.
- 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
- [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
- [https://amazon.jobs/en/benefits].
- USA, CA, Santa Barbara - 181,100.00 - 245,000.00 USD annually
- USA, CA, Sunnyvale - 208,300.00 - 281,800.00 USD annually
- USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually
Which skills does this role require?
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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
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