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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$380,000—$460,000 USD