Tech Lead Manager, Growth Data Science
2 days agoLeadSalary: 460K - 460KSan Francisco, CA | New York City, NY | Seattle, WAHybridFull TimeData ScienceJobs by Anthropic
AnthropicVisit Anthropic website
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Series F+Recently funded55 current maintainers49 active leads17 new active leads25 lead step-downs8 early lead departures
San Francisco, United States
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
About the Role
You will be the senior data science leader embedded in Growth, partnering with product and marketing leads on acquisition, activation, retention and monetization. You will manage a small team of Product Data Scientists, define success metrics, set experimentation standards, measure marketing incrementality, LTV and CAC, guide targeting and personalization, and shape analytics infrastructure.
Requirements
- Extensive data science experience leading analytics for a growth or product area at scale
- 5+ years managing data science teams
- Trusted partner to senior product, growth or marketing leaders
- Strong product sense and business judgment
- Expertise in experimental design, causal inference and statistical modeling, with Python and SQL
- Clear written and presentation communication
- Bias for action in ambiguous environments
- Bachelor's degree or equivalent experience
Responsibilities
- Act as strategic thought partner to Growth product and marketing leads
- Set the data science agenda for Growth
- Manage and develop a small team of Product Data Scientists
- Frame ambiguous growth questions, size opportunities and make recommendations
- Define core metrics, guardrails and measurement frameworks
- Set standards for experimentation and causal inference and lead high-stakes analyses
- Measure marketing incrementality, LTV, CAC and payback and recommend budget and channels
- Guide targeting and personalization work
- Turn complex analyses into clear narratives for senior leadership
- Establish data practices and shape analytics infrastructure
Benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
