Manager, Data Science, GTM

About the Role

The role entails day-to-day management of a team of data scientists, including defining metrics, building measurement frameworks, and translating complex analyses into clear recommendations for stakeholders. You will also be responsible for driving rigorous causal inference and experimentation to surface actionable insights that shape product strategy and roadmaps.

Anthropic is a quickly growing company, and this role will be critical in informing our strategy as we deploy safe and beneficial AI at scale. You will have the opportunity to work with a talented team of researchers, engineers, policy experts, and business leaders to build a new generation of AI systems.

What You Will Do

• Build and scale the GTM Data Science team, partnering with RevOps and commercial leaders to solve the hardest and most important data problems
• Lead a team of data scientists to define metrics, build measurement frameworks, and translate complex analyses into clear recommendations
• Drive rigorous causal inference and experimentation to surface actionable insights that shape product strategy and roadmaps
• Build and maintain strong partnerships across product, engineering, finance, and leadership
• Own the analytical foundation, including statistical models, optimization frameworks, and simulation engines that automate decisions and scale with the business
• Develop and maintain a deep understanding of Anthropic's products and services, including AI solutions and developer tools
• Collaborate with cross-functional teams to drive business growth and inform strategic decisions
• Communicate complex analyses and recommendations to both technical and non-technical stakeholders
• Stay up-to-date with industry trends and emerging technologies in AI and data science

What We Are Looking For

• 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
• 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
• 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

Nice to Have

• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Familiarity with cloud-based data platforms and tools
• Experience working in a remote or distributed team environment
• Knowledge of emerging trends and technologies in AI and data science

Benefits and Perks

• Competitive salary and equity package
• Opportunity to work with a talented team of researchers, engineers, and business leaders
• Flexible working hours and remote work options
• Comprehensive health and wellness benefits
• Generous PTO and vacation policy
• Professional development and growth opportunities
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment

• Develop a strong portfolio showcasing your data science skills and experience, particularly in causal inference and statistical modeling. Ensure your portfolio is easily accessible and well-organized.
• Practice communicating complex analyses and recommendations to non-technical stakeholders, using clear and concise language.
• Familiarize yourself with Anthropic's products and services, including AI solutions and developer tools, to demonstrate your interest and knowledge.
• Be prepared to discuss your experience with team leadership and management, including how you have built and scaled data science teams in the past.
• Research the current market trends and emerging technologies in AI and data science to stay up-to-date and demonstrate your expertise.
• Prepare examples of how you have driven business growth and informed strategic decisions through data-driven insights, and be ready to discuss these during the interview process.