Tech Lead Manager, Developer Platform Product Data Scientist

Anthropic; New York (NY); Hybrid; USD 285,000 - 380,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible hours

Job summary

Anthropic Limited is seeking a senior data science leader embedded in the Developer Platform product team. You will guide data-informed decisions, shape the platform's analytics strategy, and manage a small team of Product Data Scientists to raise the bar for data-driven product decisions.

You will work with senior leaders to define metrics, run experiments, and produce clear narratives that inform go-to-market and product direction as Anthropic scales its frontier AI capabilities.

Qualifications

• Experience leading analytics for a product area at scale.
• 3+ years of managing data science teams, setting direction and developing senior scientists.
• Trusted partner to senior product and business leaders on API or developer-facing products.
• Strong product sense and business judgment for developer and B2B products.

Responsibilities

• Partner with Developer Platform product leads to shape strategy, roadmaps, and bets.
• Set the data science agenda and deprioritize areas with less impact.
• Coach a small team of Product Data Scientists to influence decisions.
• Frame key questions, size opportunities, and provide clear recommendations.

Skills

Data science leadership

Team management

Python

SQL

Experiment design

Causal inference

Statistical modeling

Product sense

Communication

Education

Bachelor's degree

Tools

Python

SQL

APIs

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 Developer Platform product team and a strategic thought partner to its product leads. You'll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. 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 Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
• Set the data science agenda for Developer Platform, 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 platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction
• Define how Developer Platform 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 Developer Platform, including where API and B2B products make clean experiments hard, 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, including go-to-market teams
• Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow

You may be a good fit if you:

• 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 on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision
• Bring strong product sense and business judgment for developer and B2B products, 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: $285,000 - $380,000 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.

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.