Senior Applied Science Manager, AWS Analytics Engineering (AAE

Description

Define and drive the multi-year science, ML product, and software engineering vision and roadmap for ML-powered product analytics across AWS Products, Marketing, and Sales organization

• Build, lead, and develop a high-performing team of technical managers, applied scientists, and software engineers, including hiring top talent, managing performance, and growing careers through mentorship and promotion readiness

• Partner with senior AWS leaders (GM/VP level) to identify strategic, data-driven opportunities and translate business objectives into high-impact scientific initiatives

• Architect and guide enterprise-scale ML and agentic platform, including agentic system, knowledge representation, big data platform, deep learning, graph neural networks, reinforcement learning, causal inference, and forecasting models that predict business outcomes and enhance customer experiences

• Manage cross-functional science and software engineering team to build ML driven products that are scalable and leading industry best practices at the AWS scale and speed

• Invent, operationalize, and scale novel analytical frameworks and metrics that enable data-driven product growth and executive decision-making

• Communicate findings, conclusions, and strategic recommendations to technical and non-technical business leaders across AWS

• Mentor scientists and engineers, establish best practices for experiment design and model evaluation, and review technical artifacts to ensure quality

• Identify and champion new science opportunities that expand AAE’s impact across AWS, building the case for investment and driving adoption

As a senior applied science manager in AAE org, you will shape the science strategy that underpins product decisions across multiple AWS organizations. You'll spend your time partnering with VPs and GMs to identify the highest-leverage science opportunities, architecting novel ML solutions to complex product challenges, and mentoring scientists across the team. You'll drive alignment across cross-functional stakeholders, ensure scientific rigor in our most critical initiatives, and communicate insights that directly influence AWS product roadmaps.

You'll balance long-term vision-setting with hands-on technical leadership, diving deep into model architectures and data pipelines when needed while maintaining the strategic altitude to guide the team's direction. You will manage cross functional science and engineering team to build cutting edge agentic system and ML products that transform our product and customer experience.

We are a team of scientists and software engineers supporting AWS product leaders to make high-impact decisions through sophisticated analytical frameworks, trusted data science methods, and scalable ML products. We come from diverse backgrounds in statistics, computer science, engineering, and business analytics. We specialize in the full end-to-end ML development process, including data ingestion, ETL, model development, and model deployment in production.

We provide AI/ML services across decision science, ML products, multi-agent analytics systems, and data engineering platform.

We work on high-impact, high-visibility projects that directly influence AWS product roadmaps and senior leaders' decisions.

We are proud of our supportive and inclusive team culture, we have each other's back during ups and downs.

We believe 80% of value comes from 20% of work, so we always prioritize our backlog ruthlessly based on business value.

Extensive opportunities to understand AWS business and leverage state-of-the-art AI/ML and cloud technology.

• 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…