Product Management Intern - Undergraduate, Summer 2026

GoFundMe
San Francisco, CAPosted 19 March 2026

Tech Stack

Job Description

Want to help us, help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Product Management Intern who believes in the impact of GoFundMe and is passionate about our mission to help people help others. We value Accountability, Bias to Action, Curiosity and investment in shared successes. We know that a broad range of perspectives, diverse backgrounds and experiences, help us to create the best possible product. This opportunity is open to Undergraduate students. This is a 10 week internship program that runs from May 26th, 2026 to August 7th, 2026. The program will be based in San Francisco, CA and interns will be expected onsite three days per week. The Job Perform data analysis on risk data signals to identify patterns, trends, and correlations across multiple risk indicators that inform payment risk and trust and safety strategy Help to create and optimize projects within our AI tooling portfolio to automate analytical functions Assist with synthesizing findings into clear analysis insights and summaries that communicate key takeaways Participate in crafting product outlines, defining requirements, and building prototypes to support the product development lifecycle Assist with the creation and maintenance of dashboards, instrumentation, and telemetry to monitor product health and risk metrics You Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, Information Systems, or a related field Foundational knowledge of data analysis concepts, including experience working with datasets, identifying trends, and drawing meaningful conclusions Familiarity with SQL, Python, or similar tools for data querying and analysis Strong written and verbal communication skills with the ability to distill complex data into clear, actionable insights Detail-oriented with strong organizational skills and the ability to manage multiple workstreams simultaneously Curiosity and eagerness to learn and a proactive, self-starter mindset in a fast-paced environment Preferred Interest in or coursework related to payment risk management, fraud detection, or trust and safety Familiarity with AI/ML tools, prompt engineering, or building workflows using generative AI platforms Exposure to dashboard or data visualization tools such as Tableau, Looker, or similar platforms Exposure or interest in prototyping or wireframing tools for product concept development Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud ... (truncated, view full listing at source)
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