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

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 219,000 - 296,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a senior science leader to build and grow a team that turns AI-driven insights into practical guidance for advertisers. You will own the scientific roadmap, mentor senior scientists, and work with product and engineering to deploy models in production that meaningfully grow brand performance.

You will lead with a strong emphasis on experiment design, causal modeling, and delivering real business impact at scale across Amazon Advertising Sales.

Qualifications

• 10+ years applying ML to large-scale problems.
• Ability distill ambiguous customer requirements into problem definitions.
• Experience hiring and mentoring scientists and engineers.
• Experience setting science direction across multiple teams and orgs.
• PhD or Master's in CS/ML or equivalent applied research.

Responsibilities

• Set the long-term scientific vision for modeling each advertiser's growth journey and shape the multi-year roadmap.
• Guide the science that unifies signals into personalized recommendations for teams to act on.
• Hire, coach, and develop scientists and engineers, building a team with a high scientific bar.
• Partner with product and engineering to productionize models and ensure guidance helps brands grow.
• Set quality standards, identify risks early, and manage trade-offs.

Skills

ML experience

Leadership

Hiring experience

Strategic direction

Research-to-production

Education

PhD or MS in CS/ML

Tools

TensorFlow

PyTorch

A/B testing tooling

Job description

Job ID: 10568165 | Amazon.com Services LLC

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. We're 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, we'd love to talk.

Key job responsibilities

You’ll 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 advertiser's growth journey, pinpointing their best next opportunities, and shaping the multi-year roadmap to get there
• Guide the science that pulls many signals, a brand's 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. You'll 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 team's 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. We’re 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.

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 Qualifications

• 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.

USA, WA, SEATTLE - 218,800.00 - 295,900.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.