Data Science Tech Lead Manager, Model Experience

About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions.

Responsibilities:

• Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes
• Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize
• Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions
• Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction
• Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters
• Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses

• Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
• Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve

You may be a good fit if you:

• Have extensive experience in data science, including leading analytics for a product or research area at significant scale
• Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists
• Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision
• Bring strong product sense and business judgment, including the ability to 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, with enough fluency in Python and SQL to stay hands-on and guide others' technical work
• Communicate clearly in writing and in presentations, including to executive audiences
• Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
• Care about the company's mission of building helpful, honest, and harmless AI
• Strong candidates may also have:
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management
• Experience building or scaling a data science team in a fast-growing organization
• Experience working closely with Product or Research teams, especially on LLM or AI products
• Comfort working with unstructured data