Fundraiseup·17 days ago
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
About The Role
This role calls for a technically strong leader who can comfortably bridge executive strategy and hands-on, production-level AI engineering.
TheAI Transformation Leadwill be pivotal in designing and delivering AI-driven change at Fundraise Up. You will partner with teams to reimagine departmental functions, building the vision forhuman-AI teamsand deploying deep technical capability that deliversmeasurablebusiness impact. This role requires a blend of strategic planning, hands-on execution and change management in a high-stakes, ambiguous environment.
Design & Identification
Process Deconstruction:Lead in-depth workshops with stakeholders (e.g., Marketing, Legal, Finance) to conduct precise mapping of current workflows, identifying specific bottlenecks ripe for agentic automation.
Blueprint Creation:Design the detailed future state architecture for departmental functions, explicitly defining thecollaboration protocolsand task handoffs between human roles and specialized AI agents.
Defining Autonomy:Establish the technical and proceduralgovernance modelsrequired for agent autonomy, specifically setting rules for decision rights, error escalation triggers, and critical human-in-the-loop oversight points.
Technical Implementation & Build Strategy
Dual-Path Roadmap:Develop a detailed, twelve-month transformation roadmap that simultaneously delivers near-term, high-ROI AI solutions while defining thetechnical prerequisites for achieving fully autonomous agentic operations.
Agent Architecture Design:Define precise technical requirements for scalable agent architecture, including the necessaryreasoning frameworks, risk management systems, and knowledge retrieval interfacesrequired for complex decision-making.
Build/Buy/Prioritize:Construct data-driven business cases for solutions, explicitly contrasting build vs. buy decisions and prioritizing implementations based on technical feasibility and quantified ROI models (e.g., time savings, cost reduction).
Solution Deployment and Enablement
End-to-End Build Capability:Serve as a hands-on technical leadcapable of building, testing, and deploying both interim (e.g., RAG-based systems) and highly complex agentic AI solutions, working alongside AI Solution Engineers.
Operational Scaling:Oversee the technical integration and scaling of deployed AI agents within specific operational workflows (e.g., automating specific GTM tasks), ensuring seamless deployment with rigorous validation testing.
Curriculum Development:Design, author, and deliver all technical and operational training curricula(e.g., documentation, specialized workshops) required to rapidly transition end-users into effective collaborators with the newly deployed AI agents.
Impact Verification:Implement robust tracking mechanisms, utilizing specific KPIs (e.g., agent task completion rate, decision accuracy, departmental throughput change) to measure and verify the deployed solutions' business impact and ROI.
Benefits
Our compensation package includes comprehensive benefits and perks, meaningful equity, and a competitive salary: