AI Platform Engineer
GiveCampus is the world's leading fundraising platform for non-profit educational institutions. Trusted by millions of donors and 1,300+ colleges, universities, and K-12 schools, our mission is to help advance the quality, the affordability, and the accessibility of education. At our current pace, we will facilitate $100 billion in charitable giving over the next decade–enough money to send more than 1 million students to college, tuition-free.
GiveCampus is backed by leading investors including Y Combinator, but we’re also practitioners of Sustainable Growth: we’ve made the Inc. 5000 list of America's fastest-growing private companies each of the last five years and we’ve been profitable nine of the last 10. In 2025, we celebrated a $140 million growth investment that included a major liquidity event for GiveCampus employees–the second in less than three years.
Our purpose-driven team of 130+ is located in 30+ states across the US: team members work from anywhere they choose. We have a beautiful 12,000sf office in Washington, DC that is available for people to use whenever they want, and we regularly organize team meet-ups, visit partner institutions, and host retreats in various locations.
While we operate at meaningful scale, we’re still small relative to the commercial and social good opportunities in front of us. Every GiveCampus employee plays a meaningful role in shaping what comes next, and we're growing the team in support of our ambitious plans–including a $100 million investment in AI product development. If you believe in the transformative power of education and want to join a fast-growing, mission-driven company, you’ll fit right in.
Location: This is a remote-first role based in the U.S. While we embrace flexible, distributed work, we also value in-person connection. Team members are expected to attend multiple company-wide and team-specific onsites throughout the year.
The role
GiveCampus has spent the last 18 months getting good at using AI. People use it every day, and we've shipped agents and apps that changed how work gets done: a codebase agent that answers questions no doc can, an RFP agent, a support knowledge bot, a feature request agent, and a data integrations assistant for our Partners.
Now, we are ready to take it to the next level. You'll design, build, and operate the next generation of AI Infrastructure at GiveCampus, including sources of company and Partner context, a clear model for who and what can access which data, a registry of what's already been built, memory that carries across agents, and the guardrails that let us move fast without losing track of what our agents are doing.
This is a platform role. You'll work alongside a product partner and co-builder (the AI Transformation Lead) who owns prioritization, stakeholder management, and adoption, so you can spend your time on architecture and engineering.
What we're driving
The AI Transformation team exists to change how GiveCampus operates, so that every team runs on connected workflows and agents by default, and output grows without headcount growing alongside it. Over the next year, that means:
- Field teams spend most of their time with customers instead of on meeting prep, research, CRM updates, and follow ups
- Every customer interaction is backed by context (school data, usage, relationship history, and peer benchmarks) delivered before the conversation starts
- Managers act on AI generated briefings and alerts instead of assembling reports by hand
- Finance, People, and Ops teams manage agents that run their recurring processes, stepping in only on exceptions and approvals
- The enablement infrastructure and operating model that make the change last: standard toolkits, a governed agent lifecycle, and measurement of impact by department
You'll contribute directly to every one of these outcomes by owning the platform that makes them possible. The agents doing this work are only as good as the context, access, and controls underneath them, and that's what you'll build.