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Anthropic

Builds Claude AI models with a focus on safety

Tech Lead Manager - Multiple Teams

Engineering LeadershipUpdated on Nov 13
Full-time$460k /yr

About the Job

Requirements

  • Extensive experience in data science, including leading analytics for a product area at significant scale.
  • At least 3 years of experience managing data science teams, including setting team direction and developing senior data scientists.
  • Experience partnering with senior product and business leaders on API or developer-facing products, with examples of changing a roadmap or high-stakes decision.
  • Strong product sense and business judgment for developer and business-to-business products, including framing questions and taking positions with incomplete information.
  • Expertise in experimental design, causal inference, and statistical modeling at high scale, with fluency in Python and SQL to remain hands-on and guide others’ technical work.
  • Ability to communicate clearly in writing and presentations, including to executive audiences.
  • Ability to create clarity and drive progress in ambiguous, fast-moving environments.
  • Bachelor’s degree or an equivalent combination of education, training, and experience.
  • Education, training, or professional experience in a field relevant to the role.

Responsibilities

  • Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and major team bets.
  • Set the data science agenda for Developer Platform, 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 platform questions, including developer and enterprise adoption and how AI agents are built and deployed; size opportunities and make clear recommendations, including when challenging the current direction.
  • Define how Developer Platform measures success by establishing core metrics and measurement frameworks that align teams and leadership.
  • Set the standard for experimentation and causal inference across Developer Platform, including addressing challenges to clean experimentation in API and business-to-business products, 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, including go-to-market teams.
  • Establish foundational data practices and shape the analytics infrastructure Developer Platform needs for rapid iteration and decision-making as products grow.

Desired Qualifications

  • Experience with AI or machine-learning products, large language models, or developer tools in the AI and machine-learning ecosystem.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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