Tech Lead Manager, Core Apps Data Scientist

Anthropic Limited; San Francisco (CA); Hybrid; USD 414,000 - 506,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic is seeking a senior data science leader embedded in the Core Apps product team to drive data-informed decisions as we scale safe, frontier AI. You will lead a small team of Product Data Scientists, shape analytics strategy for Claude Code and new bets, and partner with product leads to set direction and deliver impact across our Apps portfolio.

Join a mission-driven, collaborative environment in San Francisco with a strong emphasis on experimentation, causal inference, and measurable

Qualifications

• Extensive data science experience leading analytics for a product area at significant scale.
• 3+ years managing data science teams with leadership and direction.
• Trusted partner to senior product and business leaders, influencing roadmaps.
• Strong product sense and business judgment with data-driven decision making.

Responsibilities

• Act as a strategic thought partner to Core Apps product leads, shaping strategy and roadmaps.
• Set the data science agenda for Core Apps and prioritize impact areas.
• Manage and develop a small team of Product Data Scientists.
• Frame key questions, size opportunities, and provide clear recommendations.
• Define core metrics and measurement frameworks for success.
• Set standards for experimentation and causal inference across Core Apps.
• Translate analyses into narratives and recommendations for senior leadership.
• Establish foundational data practices and analytics infrastructure to support rapid iteration.

Skills

Data science leadership

Product analytics

Experiment design

Causal inference

Communication

Education

Bachelor's degree

Tools

Python

SQL

Job description

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

Annual Salary

$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.

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.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.