Jobs at GoFundMe

MBA Product Management Intern will help define product vision, research customer needs, analyze data, prioritize initiatives, write requirements, and lead cross-functional execution with engineering, design, research, legal, security, and other teams. The intern will use customer insights, A/B testing, market research, competitive analysis, and product metrics to guide decisions and deliver impactful features.

Lead nonprofit product marketing strategy across marketplace and peer-to-peer fundraising. Define ideal customer profiles, validate product opportunities, shape roadmap priorities, develop differentiated positioning, and guide go-to-market strategy. Conduct customer research, assess commercial potential, influence executives, and align cross-functional teams around product and market decisions. This principal-level role requires strategic systems thinking, strong storytelling, analytical judgment, and the ability to move from ambiguous 0-to-1 initiatives to scalable growth.

The Data Science Manager will lead a team to build data science foundations, drive marketing innovations, and deliver scalable AI solutions to optimize growth decisions.

Lead a data engineering team responsible for roadmap ownership, predictable delivery, data platform reliability, governance, and scalable data products. Partner across Product, Engineering, Analytics, Data Science, Privacy, and business teams to prioritize work, manage risks, and make trade-offs. Hire, coach, and develop engineers while guiding technical direction with architects and Staff+ engineers. Ensure trusted data products support reporting, analytics, AI/ML, and product experiences.

Leads Marketing strategy, planning, budgeting, resource allocation, organizational effectiveness, reporting, and cross-functional program execution. Builds operating systems, improves workflows, oversees marketing operations and technology, and manages a high-performing team. Partners with executive leadership, Finance, and Business Operations to prioritize investments, track performance, remove blockers, and scale the Marketing organization.

Prototype and evaluate LLM-based autonomous agents and multi-agent systems using orchestration frameworks, memory architectures, APIs, and structured data. Build scalable evaluation, testing, safety, governance, and observability tooling. Collaborate with scientists and engineers on AI applications for campaign optimization, donor engagement, and storytelling. This Buenos Aires-based early-career program requires final-year master's or PhD study and onsite work three days weekly.

Analyze data using SQL and Looker, curate and clean data in Snowflake, document BI environments, develop dashboards, define metrics, and support experiment design and recommendations. Collaborate with Decision Science and business stakeholders to deliver actionable insights and respond to ad hoc analytics requests. This is an emerging talent fellowship running May through August 2027 in Buenos Aires, with onsite work three days per week.

Provide frontline remote desktop and IT support, administer cloud services, support audiovisual systems and video conferences, manage VOIP, maintain remote office dashboards and displays, and assist with office network and VPN connections. The role also supports office events, may require travel, and requires strong communication, analytical, problem-solving, and time-management skills.

The Staff Software Engineer will drive the technical vision for the Integrations platform, focusing on APIs, system connectivity, and architecture. Responsibilities include designing integration components, mentoring engineers, and managing AWS services to support scalable workflows.

Lead and grow an ML/AI operations engineering team responsible for reliable, scalable production systems. Own training pipelines, feature stores, model serving, monitoring, CI/CD, observability, incident response, and generative AI operations. Partner with data science, product, engineering, legal, and privacy stakeholders to establish operational standards, manage vendors, and balance innovation with safety, compliance, cost, and reliability.

Drive the technical vision for the Integrations platform at GoFundMe, design robust APIs, mentor engineers, and lead architecture efforts using AWS services.

Design and deploy production ML systems for search, retrieval, recommendations, personalization, and fraud detection. Build taxonomies, knowledge graphs, and graph-based features. Develop scalable, fault-tolerant services and batch/real-time pipelines. Optimize model performance and metrics, standardize ML workflows, and collaborate cross-functionally using tools like Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, and Snowflake.

Build and own scalable data pipelines, models, controls, monitoring, and reconciliation systems supporting Accounting and Finance. Partner with Analytics, Payments, Compliance, Tax, and Engineering to ensure financial data is accurate, traceable, auditable, and regulatory-ready. Lead data quality, observability, automation, and platform standards across Snowflake, NetSuite, payment processors, and transaction systems. Use AI-assisted engineering practices, mentor others, and translate complex financial and compliance requirements into durable technical solutions.

Lead design and implementation of payout and ledgering systems, bring core payments capabilities in-house, own technical decisions, mentor engineers, and drive projects end-to-end to scale payments infrastructure.

As a Senior iOS Engineer, you will drive architectural decisions, implement new features, collaborate with product managers, and optimize UI and back-end code.

The Senior Staff Software Engineer will lead the architecture of GoFundMe's identity platform, ensuring reliability and scalability while overseeing identity protocols and managing cross-team integrations, focusing on user trust and security.

Lead design and implementation of payouts, ledgering, and money-movement systems to bring payments capabilities in-house. Own architecture and technical decisions, collaborate cross-functionally, mentor engineers, and deliver end-to-end payout solutions from ideation through launch while ensuring scalability, performance, and compliance.

Lead design and implementation of payout and ledgering systems, build scalable payments infrastructure, own technical decisions, mentor engineers, and drive projects from conception to production.

Lead a team of ~5–8 engineers building and operating an integrations platform (APIs, webhooks, Salesforce, event-driven systems). Own roadmap delivery, mentor engineers, drive architecture and operational excellence, manage migrations, partner cross-functionally, and support customers while staying hands-on in technical design and incident response.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.