Tech Lead Manager, Core Apps Data Scientist

Anthropic

New York (NY)

Hybrid

USD 414,000 - 506,000

Full time

2 days ago
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Job summary

Anthropic Limited is seeking a Tech Lead Manager for Core Apps Data Science to guide strategic analytics across Claude Code and related bets. You will lead a small team of Product Data Scientists, partnering with Core Apps product leads to shape direction and decisions through data-driven insights.

You will set the data science agenda, frame critical questions, and drive measurable impact using advanced modeling, experimentation, and strong product judgment in a fast‑moving environment.

Qualifications

  • Minimum a Bachelor’s degree in a relevant field.
  • Significant experience leading data science teams or analytics for a product area.
  • Proven ability to influence product strategy with data-driven insights.
  • Strong proficiency in experimental design, causal inference, and statistical modeling.
  • Hands-on with Python and SQL, capable of guiding others.
  • Excellent written and verbal communication to executive audiences.

Responsibilities

  • Act as strategic thought partner to Core Apps product leads, guiding strategy, roadmap priorities, and major bets.
  • Define the data science agenda for Core Apps and determine priorities and deprioritization.
  • Manage and develop a small team of Product Data Scientists, mentoring for decision-focused work.
  • Frame key business questions, size opportunities, and provide clear recommendations.
  • Define Core Apps success metrics and measurement frameworks to align teams and leadership.
  • Lead experimentation and causal inference work and drive high-stakes analyses.
  • Turn complex analyses into clear narratives for senior leadership and cross-functional partners.
  • Establish foundational data practices and analytics infrastructure to support rapid iteration.

Skills

Data Science Leadership
Team Management
Experimentation
Causal Inference
Statistical Modeling
Python
SQL
Product Strategy
Communication

Education

Bachelor’s degree
Experience in Data Science Leadership

Tools

Python
SQL

Job description

Tech Lead Manager, Core Apps Data Scientist
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 Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. 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 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

You may be a good fit if you have:

  • 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$460,000 - $460,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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,

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