Senior Manager, Data Science

Role

GoFundMe is hiring a Senior Manager, Data Science & Analytics to lead and grow the teams that help the company make better decisions. The role sets company-wide direction for data science and analytics, strengthens analytical rigor and data maturity, and translates complex questions into actionable insights.

Candidates must be located in the San Francisco Bay Area and work in the office three times per week.

Responsibilities

• Define the company-wide vision, priorities, and operating practices for Data Science & Analytics.
• Improve how teams frame questions, measure outcomes, experiment, and use evidence in decisions.
• Guide a broad portfolio of analytical work across business functions, prioritizing measurable impact.
• Establish standards for trusted metrics, high-quality analysis, reproducibility, documentation, and responsible use of data and AI.
• Partner with Engineering and Data Platform on supporting foundations and infrastructure.
• Guide work from problem definition and analysis through recommendations, implementation, and measurement.
• Build partnerships across Product, Engineering, Marketing, Finance, Trust & Safety, and other functions to align priorities.
• Lead and develop experienced data scientists and technical leads, build leadership capacity, and establish expectations for quality and impact.
• Identify opportunities for predictive, causal, and generative AI methods to improve products, operations, and business decisions; partner with production-system teams as appropriate.
• Translate complex analysis into concise recommendations, communicate tradeoffs, and support senior leaders' decisions.

Qualifications

• At least eight 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.
• A track record of developing senior individual contributors and emerging leaders in data science and analytics.
• A master's degree or Ph.D. in statistics, mathematics, economics, computer science, physics, operations research, or a related field, or equivalent applied experience. Applied experience carries more weight than education.
• Proficiency in Python and SQL and the ability to assess analytical approaches and guide technically complex work.
• Deep experience with experimentation, causal inference, measurement, and translating findings into business or product decisions.
• Experience with forecasting, optimization, and predictive modeling through machine learning or other methods supporting organizational decisions.
• Ability to assess data models, metrics, workflows, and platforms and partner effectively with Engineering and Data Platform.
• Experience leading through senior individual contributors, technical leads, or managers and developing people as the organization grows.
• Strong communication and executive influence, with the ability to explain analytical findings clearly and practically.
• Ability to set vision and priorities, balance long-term capability building with near-term results, and exercise sound judgment about analytical and AI opportunities.

Preferred Qualifications

• Experience with BI and analytics tools such as Looker, Hex, or equivalent.
• Marketing science expertise in media mix modeling, multi-touch attribution, uplift modeling, or marketing experimentation.
• Data science experience in consumer products, marketplaces, nonprofits, payments, or fundraising.
• Marketing and growth measurement experience, including audience segmentation or campaign optimization.
• Familiarity with product experimentation and web or mobile analytics tools such as Optimizely, GrowthBook, Google Analytics, or Amplitude.
• Experience applying generative AI or LLMs to products or workflows.
• Familiarity with machine learning operations, model monitoring, or scalable data transformation.

Compensation and Benefits

• Annual salary: $243,000–$364,000, plus equity and benefits, for this full-time position.
• Individual pay depends on work location, job-related skills, experience, and relevant education or training. The recruiter can provide location-specific salary information.
• Comprehensive healthcare, financial assistance for hybrid work and family planning, generous parental leave, flexible time off, and mental health and wellness resources.
• Learning, development, and recognition programs, employee resource groups, volunteering, and Gives Back programs.

Application and Hiring Notices

• For application or interview accommodations, contact accommodationrequests@gofundme.com.
• By submitting an application, applicants agree to the use and processing of their data as described in the applicable candidate privacy notice.
• For NYC jobs and remote jobs associated with the NYC office only, GoFundMe uses Metaview to assist with evaluation of job-related qualifications. Use began March 10, 2026. The tool has undergone an independent audit and evaluates experience, technical skills, education, and other qualifications from submitted application materials. Final hiring decisions are made by GoFundMe employees. Data is retained according to its Personnel Privacy Notice and applicable legal requirements. Requests for an alternative selection process or accommodation may be sent to accommodationrequests@gofundme.com.