Data Science Tech Lead Manager, Model Experience
Anthropic · New York City, NY; San Francisco, CA; Seattle, WA
About this role
**About Anthropic** Anthropic’s mission is to create reliable, interpretable, and steerable AI systems—safe and beneficial for users and society. **About the role** As a senior data science leader and Tech Lead Manager for **Model Experience**, you’ll drive data-informed decision making across the organization. You’ll be a strategic thought partner to product, engineering, and research leaders—helping shape model roadmap and launch decisions based on how users experience our models (beyond benchmark scores). You’ll also hire and manage a team of data scientists: set the agenda, personally lead the highest-stakes analyses, and raise the bar for how data shapes model and product decisions. **Responsibilities** - Act as a strategic thought partner to product, engineering, and research leaders to shape roadmap priorities, launch decisions, and major bets - Set the data science agenda for Model Experience—deciding where the team can have the most impact and what to deprioritize - Hire, manage, and develop data scientists; coach them to move from answering questions to shaping decisions - Frame the most important and ambiguous questions about model quality and user experience; size opportunities and make clear recommendations (including when challenging direction) - Define how Model Experience measures success (core metrics + measurement frameworks across external products and internal testing) - Set the standard for experimentation and causal inference, including when launches lack clean A/B tests; personally lead the highest-stakes analyses - Turn complex analyses of model and user behavior into clear narratives and recommendations for senior leadership and cross-functional partners - Establish foundational data practices and shape the analytics infrastructure needed for rapid iteration **You may be a good fit if you** - Have extensive data science experience leading analytics for a product or research area at significant scale - Have **3+ years** managing data science teams (direction, hiring, developing senior data scientists) - Have been a trusted partner to senior product/research/business leaders with examples of changing roadmaps or high-stakes decisions - Bring strong product sense and business judgment; can frame the right question and take a position with incomplete information - Have deep expertise in experimental design, causal inference, and statistical modeling at high scale; fluency in **Python and SQL** to stay hands-on and guide others - Communicate clearly in writing and presentations, including to executive audiences - Have a bias for action and thrive in ambiguous, fast-moving environments - Care about building helpful, honest, and harmless AI **Strong candidates may also have** - Experience with AI/ML products, large language models, or developer tools - Experience as a tech lead manager or player-coach (balancing hands-on work with people management) - Experience building/scaling data science teams in fast-growing organizations - Experience working closely with Product or Research teams on LLM/AI products - Comfort working with unstructured data **Compensation (Annual Salary)** - **$380,000 — $460,000 USD** **Logistics** - **Minimum education:** Bachelor’s degree (or equivalent combination of education/training/experience) - **Required field of study:** Relevant to the role (via coursework, training, or professional experience) - **Location-based hybrid policy:** Expect to be in an office at least **25%** of the
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