About Greenlite AI Greenlite AI is the leading AI agent platform for financial services. Companies like Mercury, Gusto and multiple U.S. banks trust us to automate mission critical work, starting with anti-money laundering and counter-terrorism investigations. We’ve raised over $20M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like SpaceX, Google, Netflix, Stripe, Plaid and more. The Role We’re hiring Forward Deployed Engineers (FDEs) who thrive at the intersection of software engineering, customer impact, and problem-solving. As an FDE, you’ll own the technical success of our largest enterprise accounts, deploying Greenlite’s platform, integrating with customer systems, debugging production issues, and building reusable solutions that shape our core product. This is not a sales engineering role. You’ll write production-grade code, solve real integration problems, and act as the trusted technical partner for fintech teams at billion-dollar companies. You’ll be successful if: Customers say “I trust [your name] to fix anything.” You turn customer frustration into loyalty through fast, empathetic problem-solving. You translate messy requirements into clean, reusable product features and can build 0 to 1 features fast. About you You're motivated by joining a startup at our stage because you want to build something fast and have direct impact—not because you need extensive structure. You're energized by combining technical work with customer interaction. You love solving open-ended problems, asking good questions, and structuring solutions without needing perfect specifications upfront. You make pragmatic decisions with incomplete information and proactively pull in the right people to overcome blockers. You're adaptable when priorities shift and have a growth mindset. You understand the broader system you're working in—not just what the AI does, but how it fits into the customer's full workflow.