Data Science Manager, Supply

Anthropic•Seattle, WA

4h•Hybrid

About The Position

As part of our growing Data Science and Analytics team, you will lead the Supply DS pillar and play an instrumental role in our company's mission of building safe and beneficial AI. Anthropic is completely supply-constrained — how we allocate compute is one of the highest-leverage decisions we make, and today that allocation is tied only minimally to user outcomes like retention and LTV. You'll change that. Embedded with our infrastructure leadership, you'll build the quantitative foundation — observational analyses, synthetic experiments, and optimization frameworks — for how Anthropic allocates its most scarce resource. In this unique company, technology, and moment in history, your work will directly shape how frontier AI reaches the world at scale.

Requirements

10+ years of technical IC / tech-lead-manager experience in data science, analytics, or operations research
A strong Operations Research background — you think natively in terms of optimization, constrained allocation, and queueing
Direct experience embedded with high-performing engineering teams, not at arm's length from the system
Experience working on highly complex systems with many interacting components (ad networks, credit-card processing, marketplace matching, routing, etc.)
A track record of owning and presenting analyses in high-pressure executive forums — you can take a punch and still move the room
Deep expertise with Python, SQL, and data visualization tools
A passion for the company's mission of building helpful, honest, and harmless AI

Nice To Haves

Experience with causal inference methods applied to operational decisions (synthetic controls, geo-experiments, switchbacks)
Experience designing experimentation platforms from scratch, not just using them
Exposure to AI/ML products, large language models, or large-scale inference systems

Responsibilities

Build and grow the Supply Data Science team, raising the bar for talent and shaping the culture of the pillar
Design a testing framework — observational and synthetic — to quantify how different inputs affect compute allocation outcomes
Tie compute allocation decisions to downstream user outcomes (retention, LTV, revenue) so we stop optimizing in a vacuum
Measure and improve how AI affects our own developer productivity inside Anthropic
Represent the DS organization in senior leadership forums with our CTO and his staff, owning the narrative on compute and supply
Uplevel reporting, metrics, and shared understanding of the supply area across the company
Establish foundational data practices and scale analytics infrastructure to support rapid iteration as we grow