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Tech Lead Manager, Developer Platform Product Data Scientist

Job in New York, New York County, New York, 10261, USA
Listing for: Anthropic
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 285000 - 380000 USD Yearly USD 285000.00 380000.00 YEAR
Job Description & How to Apply Below
Location: New York

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.

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 embedded in our Developer Platform product team and a strategic thought partner to its product leads. You'll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude.

As a tech lead manager, you'll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions.

Responsibilities:

  • Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
  • 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 the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction
  • Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters
  • Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, 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 to support rapid iteration and decision-making as our products grow

You may be a good fit if you:

  • Have extensive experience in data science, including leading analytics for a product area at significant scale
  • Have 3+ years managing data science teams, including setting team direction and developing senior data scientists
  • Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision
  • Bring strong product sense and business judgment for developer and B2B products, 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…
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