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Product Manager III - Tech, Reputation Marketing & Insights

Amazon.com Services LLC

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What reputation roles keep asking for: AWS (29%), Git (29%), LLMs (29%), Machine learning (29%), SQL (29%), Product management (14%), Stakeholder management (14%), Talent acquisition (14%) — counted across their open postings here.

Product Manager jobs in the United States · Product Manager jobs in New York · Remote Product Manager jobs · AWS jobs · LLMs jobs · Machine learning jobs · SQL jobs

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Preparing for this interview

Interviews for reputation roles keep coming back to AWS, Git, LLMs, Machine learning. Practise those questions before you sit with Amazon.com Services LLC.

Questions you are likely to be asked

  1. Why do you want to join Amazon.com Services LLC?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a feature you shipped. How did you know it worked?
  4. Tell me about a time engineering and business wanted different things.
  5. How would you improve a product you use every day?

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The individual selected for this position will own the product strategy, roadmap, and delivery of RMI's survey measurement platform — the system that determines how hundreds of millions of dollars in reputation Basic qualifications: - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products - 7+ years of product or program management, product marketing, business development or technology experience - Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems Preferred: - Experience in influencing senior leadership through data driven insights - Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent - Experience analyzing data quantitatively and using customer research, data and metrics to back up assumptions, identifying opportunities, and assessing the efficacy of marketing programs - Experience on the research vendor side or within the research group of a media company - Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using financial models, KPIs, and data analysis to support business decisions - Experience with explainable machine learning and artificial intelligence methodologies and tools 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, NY, New York - 166,300.00 - 225,000.00 USD annually USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

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Listed on amazon · posted 2026-07-21. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.