Anthropic
Data Science Tech Lead Manager, Model Experience
$380K–$460K
New York City, NY +3 · Manager · Full-time · Posted Oct 28, 2026
- Location
- New York City, NY
San Francisco, CA
Seattle, WA
San Francisco, California, United States - Experience
- 3+ years managing data science teams. Overall years of experience correlate with internal job level requirements; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Leads data science for Model Experience, shaping model and product decisions through analytics, measurement, experimentation, and team leadership.
What you'll do
- Advise product, engineering, and research leaders on model roadmaps, launches, and priorities; lead high-stakes analyses.
- Set success metrics and standards for experimentation, causal inference, and analytics infrastructure.
- Hire, manage, and develop data scientists and communicate analysis-driven recommendations to leadership.
What they ask for
- Extensive data science experience, including leading analytics for a product or research area at significant scale.
- 3+ years managing data science teams, including setting direction, hiring, and developing senior data scientists.
- Deep expertise in experimental design, causal inference, and statistical modeling at high scale; fluency in Python and SQL.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study.
Nice to have
- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem.
- Experience as a tech lead manager or player-coach, or building/scaling a data science team.
Pay
$380,000 — $460,000 USD annual salary (base salary)
Tools
Python, SQL
AI focus
Data science leadership for Model Experience, informing model development, user experience, and launch decisions for frontier AI.
Model-written summary · the original posting is authoritative