ABOUT GREENBOARD At Greenboard, we're building the future of financial compliance. Greenboard is the unified, AI-native compliance operating system for RIAs, fintechs, private funds, hedge funds, and more. It replaces the fragmented mix of legacy tools and automates more than previously possible. By centralizing data and workflows, Greenboard helps firms reduce regulatory risk, simplify their technology stack, modernize how they run compliance, and save money. Our founding team includes engineers who have scaled products at Amazon, Google, and multiple unicorn startups. We're backed by Y Combinator, General Catalyst, Base10, and other top-tier investors, and have raised over $20M to date. Brand-name financial institutions already rely on Greenboard, and we're growing fast. ABOUT THE ROLE You'll join the engineering team full-time in Summer 2027 and start shipping to production in your first weeks. The problems are real ones: building AI agents to detect insider trading, scaling message archiving systems that handle tens of millions of messages per day, and designing the data infrastructure underneath both. This is not a rotational program and there is no training track. You'll own features end to end, talk to customers about what you're building, and get direct feedback from engineers who have scaled products at Amazon, Google, and multiple unicorn startups. Early engineers here have a real say in how the product gets built. WHO ARE YOU? - Love to move fast and build things - Looking for deep ownership over the products you build - Obsess over the customers you're building for - An excellent communicator - Value collaboration - Located in NYC, or planning to be by your start date QUALIFICATIONS - Graduating with a BS or MS in Computer Science, Engineering, or a related field between December 2026 and Spring 2027 - Strong programming skills in Node JS and Python, built through internships, personal projects, or research - Exposure to cloud infrastructure, ideally AWS - Coursework, projects, or internship work involving AI and machine learning - Evidence you can build and ship something on your own, whether that's an internship project, an open source contribution, or something you made because you wanted it to exist - Ability to work collaboratively in a fast-paced startup environment - Interest in the financial industry is a plus, but not necessary BENEFITS - 401(k) with 5% company match - Medical, dental, and vision coverage - 15 days PTO + 11 company holidays + flexible sick time - 2 additional PTO days for each year of service (up to 10 additional days) - 10 remote days per year plus additional around the holidays - Bi-annual off-sites and team retreats - Front-row seat to building the operating backbone of modern finance