Tech Lead Manager, Core Apps Data Scientist

Anthropic · New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA · Data Science & Analytics · listed October 27, 2026

The shape of it

Seniority
Manager
Where
Hybrid
Requirements listed
2
Length
1,162 words

In the posting’s own words

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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

What it asks for · 2

  • 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, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, 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 guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI
  • Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

What the job covers

  • Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
  • 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 the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction
  • Define how Core Apps 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 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 our products grow

Tools and skills named

Models & research
  • Inference2×
  • Machine learning2×
  • LLM
Product & design
  • Roadmap2×
  • Product strategy
Data
  • Experimentation
  • Statistics
Languages
  • Python
  • SQL
Ways of working
  • Cross-functional
  • Mentorship

Words the posting leans on

  • product9×
  • data7×
  • core apps5×
  • data science4×
  • business3×
  • clear3×
  • decisions3×
  • partner3×
  • questions3×
  • senior3×
  • ai/ml2×
  • ambiguous2×
  • analyses2×
  • analytics2×
  • causal inference2×
  • data scientists2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched November 2, 2026 and last changed by Anthropic on October 27, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.