AI Data Engineer

👋Hello, we’re Instrumentl. We’re a mission-driven startup helping the nonprofit sector to drive impact, and we’re well on our way to becoming the #1 most-loved grant discovery and management tool.  About us: Instrumentl is a hypergrowth YC-backed startup with over 5,000 nonprofit clients, from local homeless shelters to larger organizations like the San Diego Zoo and the University of Alaska. We are building the future of fundraising automation, helping nonprofits to discover, track, and manage grants efficiently through our SaaS platform. Our charts are dramatically up-and-to-the-right 📈 — we’re cash flow positive and doubling year-over-year, with customers who love us (NPS is 65+ and Ellis PMF survey is 60+). Join us on this rocket ship to Mars! About the Role As an AI Data Engineer at Instrumentl, you'll own the systems that discover, acquire, and transform unstructured content into clean, structured, queryable data. You'll build automated content discovery from the web, design LLM-powered extraction pipelines that convert grant documents, foundation profiles, and third-party data into canonical business objects—enabling our product teams to build intelligent features on a reliable data foundation. This is a data platform role: you'll own the extraction quality that populates our canonical data models and the pipeline reliability that keeps them current. You'll build evaluation harnesses, optimize for cost at scale, and ensure our AI-derived data is accurate enough to trust. You'll be part of the AI Engineering team, partnering closely with product engineers who consume your data products.