Senior Manager, Applied Science, Network Planning Solutions

Amazon • Seattle, WA

4d

About The Position

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, you'll
do more than just build models; you'll create 'delight' by discovering and
deploying the science that delivers exactly what our customers need, right when
they need it. If you're ready to transform complex data patterns into
breakthrough AI capabilities that power intuitive human experiences, you've
found your team.

Network Planning Solutions architects and orchestrates Amazon's 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 work—driving 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.

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

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.

Requirements

• 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
• Master's 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

Nice To Haves

• 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

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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Manager