Tech Lead Manager, Core Apps Data Scientist

Anthropic•Seattle, WA

8d•Hybrid

About The Position

As part of Anthropic’s growing Data Science and Analytics team, this senior data science leader will be embedded in the Core Apps product team and serve as a strategic thought partner to product leads. The role helps set product direction for Claude Code and other Core Apps initiatives, advising on investment priorities, growth, and ways to deliver more value to users. As a tech lead manager, the position also manages a small team of Product Data Scientists, sets their agenda, and raises the standard for data-driven product decisions. The role drives data-informed decision-making across the organization in support of Anthropic’s mission to build reliable, interpretable, steerable, safe, and beneficial AI systems. It combines strategic product leadership, people management, hands-on analytical work, experimentation and measurement, and development of the data practices and analytics infrastructure needed as Core Apps products grow.

Requirements

Extensive data science experience, including leading analytics for a product area at significant scale.
At least 3 years managing data science teams, including setting team direction and developing senior data scientists.
Experience as a trusted partner to senior product 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.
Sufficient fluency in Python and SQL to remain hands-on and guide others’ technical work.
Clear written and presentation communication skills, including with executive audiences.
Bias for action and ability to thrive in ambiguous, fast-moving environments while creating clarity and driving progress.
Care for Anthropic’s mission of building helpful, honest, and harmless AI.
A bachelor’s degree or an equivalent combination of education, training, and/or experience.
A field of study relevant to the role, as demonstrated through coursework, training, or professional experience.

Nice To Haves

Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.

Responsibilities

Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and major bets.
Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize.
Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions.
Frame important and ambiguous business questions, size opportunities, and make clear recommendations, including when they challenge the current direction.
Define how Core Apps measures success by establishing core metrics and measurement frameworks that align teams and leadership.
Set standards for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses.
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners.
Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as products grow.