GoFundMe
Senior Manager, Data Science
$243K–$364K
San Francisco, CA +1 · Manager · Full-time · Posted Dec 22, 2025
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 8+ years; significant experience leading teams or cross-functional initiatives.
- Education
- Master’s or Ph.D. in statistics, mathematics, economics, computer science, physics, operations research, or a related field or equivalent applied experience.
About the job
Leads GoFundMe’s company-wide data science and analytics strategy, teams, and practices to improve decisions and outcomes, including advancing applied AI and modeling.
What you'll do
- Set direction and priorities for data science and analytics, raising analytical rigor and data maturity across the company.
- Lead and develop data science teams, guide cross-functional work from problem definition through measurement, and communicate actionable recommendations to senior leaders.
- Build analytical foundations and identify uses for predictive, causal, and generative AI methods in products, operations, and business decisions.
What they ask for
- 8+ years in data science, analytics, or a related quantitative field, including significant experience leading teams or cross-functional initiatives.
- Experience setting direction and delivering impact across multiple business or product domains, and developing data science and analytics talent.
- Proficiency in Python and SQL; deep experience with experimentation, causal inference, and measurement.
- Master’s or Ph.D. in a related quantitative field or equivalent applied experience.
Nice to have
- Experience with BI and analytics tools such as Looker, Hex, or equivalent; marketing science expertise is a strong plus.
- Experience in consumer products, marketplaces, nonprofits, payments, or fundraising; familiarity with generative AI, experimentation tools, or machine learning operations.
Pay
$243,000-$364,000 USD total annual salary + equity + benefits
Tools
Python, SQL, Looker, Hex, Optimizely, GrowthBook, Google Analytics, Amplitude
AI focus
Identify opportunities for predictive, causal, and generative AI methods to improve products, operations, and business decisions; set standards for responsible use of data and AI.
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