Build and scale the GTM Data Science team, partnering with RevOps and commercial leaders to solve the hardest and most important data problems to unlock Anthropic’s B2B growth
Lead a team of data scientists to define metrics, build measurement frameworks, and translate complex analyses into clear recommendations for technical and non-technical stakeholders
Drive rigorous causal inference and experimentation — controlled experiments, synthetic controls — to surface actionable insights that shape product strategy and roadmaps
Build and maintain strong partnerships across product, engineering, finance, and leadership — communicating complex analyses clearly and driving alignment on priorities and recommendations
Own the analytical foundation: statistical models, optimization frameworks, and simulation engines that automate decisions and scale with the business

6+ years of experience managing data science teams, preferably in a scaling startup environment
15+ years of total experience in data science or similar data-focused roles
Deep expertise with Python, SQL, and data visualization tools
Demonstrated dexterity applying supervised and unsupervised learning techniques across a range of problem types
Expertise with causal inference and statistical modeling, particularly in non-experimental or quasi-experimental settings
A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
Expertise with marketing measurement, especially for PLG motions
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
A passion for the company’s mission of building helpful, honest, and harmless AI

Manager, Data Science – GTM

Key skills