Tech Lead Manager Core Apps Data Scientist

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leads
San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will set the data science agenda for Core Apps, partner with product leaders on strategy and roadmap decisions, and manage Product Data Scientists. You will establish metrics and experimentation practices, lead high-stakes analyses, communicate recommendations, and shape analytics infrastructure.

Requirements

  • Extensive data science experience leading analytics for a product area at scale
  • 3+ years managing data science teams
  • Experience partnering with senior product and business leaders on high-stakes decisions
  • Product sense and business judgment
  • Expertise in experimental design, causal inference, and statistical modeling
  • Python proficiency
  • SQL proficiency
  • Written and presentation communication skills
  • Experience working in ambiguous and fast-moving environments
  • Experience with AI or ML products, large language models, or developer tools

Responsibilities

  • Partner with product leads on product strategy, roadmap priorities, and major bets
  • Set the data science agenda and prioritization for Core Apps
  • Manage and develop Product Data Scientists
  • Frame ambiguous business questions, size opportunities, and make recommendations
  • Define success metrics and measurement frameworks
  • Set experimentation and causal-inference standards and lead high-stakes analyses
  • Translate analyses into narratives and recommendations for leadership
  • Establish data practices and analytics infrastructure

Benefits

  • Visa sponsorship support
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours