Tech Lead Manager, Core Apps Data Scientist

Anthropics 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 companys 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 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.

Youll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. Youll 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 youll 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 companys 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

Minimum education: Bachelors 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 arent 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 so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.