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

What you'll do

• Set scientific direction and roadmap for modeling advertiser growth and identifying next opportunities.
• Lead science that combines advertiser, retail, and advertising signals into personalized recommendations.
• Hire, coach, and develop scientists and engineers; partner with product and engineering to bring models into production.

What they ask for

• 10+ years applying ML to complex problems for large-scale applications.
• Experience translating informal customer requirements into problem definitions amid ambiguity and competing objectives.
• Experience hiring and leading experienced scientists, developing junior members, and setting research direction across teams and organizations.
• PhD or Master's in Computer Science, Machine Learning, or a related field, or equivalent applied research experience.

Nice to have

• 5+ years of people management experience leading and scaling data science or engineering teams.
• Experience in recommender systems, personalization, behavioral modeling, sequential models, causal measurement, or production generative AI.

Pay

218,800.00 - 295,900.00 USD annually (base salary)

Tools

ML, Hidden Markov Models (HMMs), deep sequential models, A/B testing, quasi-experimental designs, causal modeling, generative AI

AI focus

Leads AI/ML work to model advertiser growth journeys and create personalized recommendations, including generative AI-powered applications for sales workflows.