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Principal Product Manager Technical, AWS Applied AI Solutions - Core Services

Amazon Development Center U.S., Inc.

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What solutions roles keep asking for: AWS (32%), Python (19%), Customer success (15%), Azure (14%), GCP (13%) — counted across their open postings here.

Product Manager Technical jobs in the United States · Product Manager Technical jobs in Seattle · AWS jobs · Generative AI jobs · LLMs jobs · Machine learning jobs

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Interviews for solutions roles keep coming back to AWS, Python, Customer success, Azure. Practise those questions before you sit with Amazon Development Center U.S., Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Development Center U.S., Inc.?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide 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) - Experience with machine learning or AI systems, including familiarity with model evaluation, testing methodologies, or quality assurance frameworks - Demonstrated ability to write clear, detailed technical product documents (PR/FAQs, technical specifications, architecture diagrams) and drive engineering teams to consensus Preferred: - MBA or advanced degree in a technical discipline - Experience with LLM evaluation, AI safety testing, or automated quality assurance for generative AI systems - Track record of building and launching evaluation or testing platforms at scale - Experience working with applied scientists to productize research into customer facing features - Familiarity with AWS services (AgentCore, SageMaker) and agentic AI frameworks (LangFuse) - Strong track record of shaping business strategy for technical products or services for large enterprises or partners - Prior experience bringing to life 0 to 1 AI powered offerings 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 - 181,100.00 - 245,000.00 USD annually

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Listed on amazon · posted 2026-08-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Development Center U.S., Inc., not by us.