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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.
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Design, develop, and deploy machine learning applications and workflows, lead projects, mentor engineers, and integrate emerging AI technologies.
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Lead the development and optimization of LLM-based applications, collaborate with teams, and ensure high-quality machine learning solutions are delivered.
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The Senior Technical Support Engineer will manage customer experiences, troubleshoot issues, support teams, and maintain documentation while collaborating cross-functionally.
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The Analyst I will support the Trust & Safety team by providing email and phone support, conducting KYC/CDD reviews, analyzing fundraisers for potential fraud, and collaborating across teams to ensure compliance and security for users.
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The Senior Solutions Architect designs technical solutions for enterprise customers, guiding both pre-sales and post-sales processes, ensuring technical excellence and alignment with customer needs.
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Lead the technical vision for the GoFundMe Pro Live ticketing platform, guiding architectural decisions and building a modern ticketing solution.
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Lead and scale the Solutions Engineering function, manage a team, engage with complex deals, and collaborate across departments to deliver strategic solutions for nonprofit customers.
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The Senior Product Designer will lead design strategy and execution for critical projects, collaborate with cross-functional teams, and influence user-focused solutions. They will mentor other designers and ensure high-quality deliverables while being a thought leader in design processes.
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Responsible for reviewing fundraiser content, managing escalated policies, assisting customers during crises, and mentoring peers. Focus on content moderation and ensuring trusted transactions on the platform.
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The Partner Relationship Manager at GoFundMe Pro will manage partner relationships, drive adoption, support joint initiatives, and gather partner feedback for product improvements while ensuring effective collaboration across teams.
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The role involves setting design strategies, leading cross-functional design projects, and enhancing design quality across the organization while fostering collaboration with product and engineering teams.
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The Senior AI Solutions Engineer will design and integrate AI models into web applications, build frontends and APIs, and ensure system performance while collaborating with cross-functional teams.
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The Senior Agentic AI Developer will build LLM-based autonomous agents and orchestration systems for fundraising, optimizing donor engagement through advanced reasoning and planning capabilities while ensuring enterprise-grade performance in a collaborative environment.
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Lead product marketing for GoFundMe Pro's nonprofit platform: define GTM strategy, positioning, launches, enablement, cross-functional alignment, and KPI-driven performance to drive adoption and expansion.
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Lead the architecture and scaling of GoFundMe's social graph platform, collaborating with teams to enhance user experiences through graph-based features and models.
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Lead product marketing strategy for GoFundMe Pro nonprofits: define go-to-market, positioning, messaging, competitive intelligence, and cross-functional alignment to drive adoption, launches, and revenue expansion. Serve as market voice to Product, Sales, and Execs, mentor PMM team, and run research, win/loss analysis, and flagship event strategy.
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Lead the design and development of AI-driven search and retrieval systems, focusing on machine learning applications and collaboration with cross-functional teams.
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The Staff Software Engineer will design and develop scalable fintech infrastructure, mentor junior developers, and lead product development cycles. Responsibilities include enhancing backend services, managing technical roadmaps, and ensuring optimal system performance through innovative solutions.
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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.






