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Principal Product Manager Tech ES, Agents, Training - Annapurna Labs

Annapurna Labs (U.S.) Inc.

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79 open annapurna roles across 6 companies are on ApplySarthi right now.

What annapurna roles keep asking for: AWS (57%), Python (48%), C++ (39%), Machine learning (39%), Perl (24%), Java (22%), Linux (15%), Generative AI (14%) — counted across their open postings here.

AWS jobs · Hugging Face jobs · LLMs jobs · Product management jobs

Annapurna Labs (U.S.) Inc. has 98 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for annapurna roles keep coming back to AWS, Python, C++, Machine learning. Practise those questions before you sit with Annapurna Labs (U.S.) Inc..

Questions you are likely to be asked

  1. Why do you want to join Annapurna Labs (U.S.) Inc.?
  2. What is your experience with Product management? Tell me one thing you learned the hard way.
  3. Tell me about a time engineering and business wanted different things.
  4. How would you improve a product you use every day?
  5. Tell me about a product decision you made with incomplete data.

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AWS Trainium is deployed at scale, with millions of chips in production, and has been used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers Basic qualifications: - 7+ years of working as a Technical Product Manager experience - Bachelor's degree in computer science, engineering, mathematics, or equivalent - 10+ years of industry experience with at least 7+ years in Technical product management - Experience with technical product management for AI/ML platforms, developer tools, or automation systems - Demonstrated experience with LLM based applications, including prompt engineering, agent architectures, or AI assisted tooling - Experience defining metrics and success criteria for AI/ML products - Excellent written and verbal communication abilities Preferred: - Experience with agentic AI systems (multi agent orchestration, tool use, autonomous workflows) - Knowledge of ML model architectures (transformers, attention mechanisms, mixture of experts models) - Experience with model optimization techniques (quantization, sharding, speculative decoding) - Familiarity with ML frameworks (PyTorch, JAX) and model hubs (Hugging Face) - Experience with data platforms or knowledge management systems - Understanding of reinforcement learning concepts and post training pipelines - Experience with developer tools and IDE integrations - Exposure to compiler technologies, kernel development, or hardware acceleration - Track record of driving open source projects or ecosystem partnerships - Experience operating in early stage initiatives 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, Cupertino - 208,300.00 - 281,800.00 USD annually

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Listed on amazon · posted 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs (U.S.) Inc., not by us.