Tech Lead Manager, Core Apps Data Scientist

About Anthropic We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Anthropic

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.

A

anthropic.com

501-1,000 employees

Research Services

Privately Held

5M LinkedIn followers

Raised $128.7B

• 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

• 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
• 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.
• 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.

• Competitive compensation
• Equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours