Tech Lead Manager, Developer Platform Product Data Scientist
Join Anthropic as a Data Scientist to drive data-informed decision-making for our Developer Platform in a mission-driven environment.
Posted by employer 5 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 23 hours ago
Skills & Technologies
Requirements
- Experience
- 6+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 25, 2026. Last confirmed on Anthropic's careers page October 30, 2026.
- Salary band is above the typical range for Data Science roles (median ~$178,250).
- Starts above 92% of 66 comparable senior data science roles in United States that list Python we track (median $175,000 across 40 companies). See Python salary trends
- Python appears in 70.2% of 124 comparable senior data science roles in United States; data visualization appears in 3.2% of 124 comparable senior data science roles in United States.
Quick facts
- Is the Tech Lead Manager, Developer Platform Product Data Scientist role remote?
- It's hybrid — Anthropic expects some on-site time in New York City, NY; San Francisco, CA; Seattle, WA.
- What's the salary range?
- Anthropic lists $275,000–$370,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Tech Lead Manager, Developer Platform Product Data Scientist role.
- Where is the role based?
- Anthropic is hiring for this position in New York City, NY; San Francisco, CA; Seattle, WA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: A/B Testing, Python, SQL, Statistical Modeling, data visualization.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Tech Lead Manager, Developer Platform Product Data Scientist role at Anthropic.
From the original posting
About Anthropic
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
The annual compensation range for this role is listed below.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.