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Sr. Manager, Applied Science, Sales AI - Amazon Ads

Amazon

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1,013 open applied roles across 132 companies are on ApplySarthi right now, most of them in Bengaluru (105), Hyderabad (13), Delhi NCR (7).

What applied roles keep asking for: Python (63%), Machine learning (48%), Java (38%), C++ (37%), LLMs (32%), Deep learning (25%), AWS (18%), Generative AI (17%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. How do you handle 'your price is too high'?
  4. How do you find and qualify new leads?
  5. What is your target, and how did you do against it last quarter?

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Love using AI to solve big, messy problems that actually move a business? Come lead the science team that figures out where every advertiser is on their growth journey, and what to do next to help them Basic qualifications: - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track - Experience setting science research direction and strategy across multiple teams and organizations - PhD or Master's in Computer Science, Machine Learning, or a related field, or equivalent applied research experience Preferred: - 5+ years of people management experience, with a proven track record of leading and scaling data science or engineering teams. - Experience leading teams focused on recommender systems, personalization, or behavioral modeling. - Experience designing Hidden Markov Models (HMMs), latent-state frameworks, or deep sequential models. - Strong background in A/B testing, quasi-experimental designs, or causal modeling to measure incremental impact. - Proven track record of deploying generative AI in production environments to personalize, explain, or enhance user recommendations. 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 - 218,800.00 - 295,900.00 USD annually

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Listed on amazon · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.