Senior Applied Science Manager, GenAI Analytics

Amazon Science

Seattle (WA)

On-site

USD 218,800 - 295,900

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Amazon Science in Seattle is seeking a Senior Applied Science Manager to lead the science and engineering strategy across AWS product analytics, shaping the ML roadmap and cross-functional partnerships. You will mentor scientists and engineers, drive cross-organizational alignment, and translate complex business challenges into scalable ML solutions that influence product growth and customer experiences.

This role requires a track record of leading large ML projects at internet scale, strong

Qualifications

10+ years building large-scale ML/AI solutions at Internet scale.
Master's degree in Computer Science focused on ML/AI or related field.
Experience distilling customer requirements into problem definitions and dealing with ambiguous objectives.
Experience hiring and developing scientists and engineers to career readiness.

Responsibilities

Define the science and engineering roadmap for ML-powered product analytics across AWS Products, Marketing, and Sales.
Lead and mentor a high-performing team of scientists and engineers.
Partner with AWS leaders to identify strategic, data-driven opportunities and translate objectives into initiatives.
Architect enterprise-scale ML platforms, including graph neural networks, RL, and forecasting models.
Drive cross-functional alignment, published results, and executive-level recommendations.