Level

Amazon

Principal Product Manager - Technical, External Services, Artificial General Intelligence (AGI): AI Services

AI in this role

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 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, 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

How we score this

Principal Product Manager - Technical, External Services, Artificial General Intelligence (AGI): AI Services at Amazon scores 68 out of 100 for how much of the daily work is AI. That makes it AI Level 3 of 4 (Works on AI). The level is about AI in the job, not seniority.

Classification

AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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