Sr. Manager, Applied Science, Sales AI Amazon Ads

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 achieve their goals.

Advertising is one of the fastest growing parts of our business and science sits at the heart of how we help brands succeed. Were looking for an experienced science leader to build grow and guide a team of applied scientists working on one of our most exciting challenges: figuring out for each brand the smartest next step they can take to grow and turning that into a clear personalized recommendation the people who work with those brands can act on right away. If you want real ownership a team to grow and problems that matter to millions of businesses wed love to talk.

Key job responsibilities
Youll lead and grow a team of applied scientists and software engineers working on an AI-first mission to understand where every advertiser is in their growth journey and turning that into clear personalized guidance the people who work with those brands can act on. A big part of our work is understanding where each advertiser is in their growth journey using that to decide the right level of support each one requires to meet their goals. Day to day that means:

Set the long-term scientific vision for modeling each advertisers growth journey pinpointing their best next opportunities and shaping the multi-year roadmap to get there

Guide the science that pulls many signals a brands health retail and advertising performance into one unified personalized set of recommendations for teams to act on.

Hire coach and develop scientists and engineers and build a team known for a high scientific bar.

Partner with product and engineering to take models from early research into production and make sure the guidance genuinely helps brands grow.

Set quality standards catch at-risk work early and make the hard trade-off calls.

A day in the life
No two days look the same. You might start by reviewing a new modeling approach with your scientists then meet with product and engineering partners to agree on what to build next. Youll dig into results ask hard questions about whether a model is really moving the business and coach a manager through a tricky call. Your customers are the teams who work directly with brands and the brands themselves who lean on your teams recommendations to decide where to invest and how to grow.

About the team
Sales AI is a central science and engineering organization within Amazon Advertising Sales. Our mission is to power selling motions and account team workflows with state-of-the-art AI and ML services. Were investing in a range of sales intelligence models including advertiser insights recommendations and generative AI-powered applications woven throughout account team workflows. We care about a high scientific bar real business impact and taking ideas all the way into production. Most of all we like working with curious people who want to drive real lasting impact for our customers.

- 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 Masters in Computer Science Machine Learning or a related field or equivalent applied research experience

- 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 for more information. If the country/region youre applying in isnt 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 WA SEATTLE - 218800.00 - 295900.00 USD annually

Required Experience:

Manager

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