Senior Manager, Applied Science, Network Planning Solutions

Have you ever wondered what it takes to transform millions of manual network planning decisions into AI-powered precision Network Planning Solutions is looking for scientific innovators obsessed with building the AI/ML intelligence that makes orchestrating complex global operations feel effortless. Here youll do more than just build models; youll create delight by discovering and deploying the science that delivers exactly what our customers need right when they need it. If youre ready to transform complex data patterns into breakthrough AI capabilities that power intuitive human experiences youve found your team.

Network Planning Solutions architects and orchestrates Amazons customer service network of the future. By building AI-native solutions that continuously learn predict and optimize we deliver seamless customer experiences and empower associates with high-value workdriving measurable business impact at a global scale.

As a Sr. Manager Applied Science you will own the scientific innovation and research initiatives that make this vision possible. You will lead a team of applied scientists and collaborate with cross-functional partners to develop and implement breakthrough scientific solutions that redefine our global network.

Key job responsibilities
Lead AI/ML Innovation for Network Planning Solutions:
- Develop and deploy production-ready demand forecasting algorithms that continuously sense and predict customer demand using real-time signals
- Build network optimization algorithms that automatically adjust staffing as conditions evolve across the service network
- Architect scalable AI/ML infrastructure supporting automated forecasting and network optimization capabilities across the system
Drive Scientific Excellence:
- Build and mentor a team of applied scientists to deliver breakthrough AI/ML solutions
- Design rigorous experiments to validate hypotheses and quantify business impact
- Establish scientific excellence mechanisms including evaluation metrics and peer review processes
Enable Strategic Transformation:
- Drive scientific innovation from research to production - Design and validate next-generation AI-native models while ensuring robust performance explainability and seamless integration with existing systems.
- Partner with Engineering Product and Operations teams to translate AI/ML capabilities into measurable business outcomes
- Navigate ambiguity through experimentation while balancing innovation with operational constraints
- Influence senior leadership through scientific rigor translating complex algorithms into clear business value

A day in the life
Your day will be a dynamic blend of scientific innovation and strategic problem-solving. Youll collaborate with cross-functional teams design AI algorithms and translate complex data patterns into intuitive solutions that drive meaningful business impact.

About the team
We are Network Planning Solutions a team of scientific innovators dedicated to reshaping how global service networks operate. Our mission is to create AI-native solutions that continuously learn predict and optimize customer experiences. We empower our associates to tackle high-value challenges and drive transformative change at a global scale.

- 10 years of building large-scale machine learning and AI solutions at Internet scale experience
- Masters degree in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- 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

- 10 years of practical work applying ML to solve complex problems for large-scale applications experience
- 5 years of hands-on work in big data machine learning and predictive modeling experience
- 5 years of people management experience
- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience developing deploying and managing AI products at scale
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning

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