Data Science Tech Lead Manager, Model Experience

About the Position

We are looking for a Data Science Tech Lead Manager, Model Experience to join our team in New York City, NY; San Francisco, CA; or Seattle, WA. 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.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

Requirements

• Extensive experience in data science, including leading analytics for a product or research area at significant scale.
• 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists.
• Experience as a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision.
• Strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information.
• Deep expertise in experimental design, causal inference, and statistical modeling at high scale, with fluency in Python and SQL to stay hands-on and guide others' technical work.
• Excellent communication skills in writing and presentations, including to executive audiences.
• A bias for action and the ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive progress.
• A commitment to the company's mission of building helpful, honest, and harmless AI.

Nice to 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.

We Offer

• Competitive salary range: $380,000 - $460,000 USD annually.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

About the Company

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Apply for this job

If you are excited about the opportunity to shape the future of AI and drive data-informed decision making, we encourage you to apply. Please visit our careers page to submit your application.