The Smartest Private Equity Investor
Software Engineer (Full-time)
Location: New York, USA (Hybrid 3-days per week)
Keye is a Y-Combinator (YC F24) and venture-backed startup focused on speeding up the due diligence process in private market mergers and acquisitions with AI.
Our platform analyzes data rooms in dealmaking using advanced data and machine learning techniques and gives investors 80% of the deal in under 5 minutes, a process that otherwise takes weeks! The output is an interactive diligence report to help funds say no to a deal much earlier and save millions on third-party diligence costs.
When firms use Keye to analyze deals, they’re tapping into a wealth of diligence knowledge and best practices that are baked into our proprietary analysis engine from over a decade of investor experience. With rapid deal analysis, firms can easily decide which deals are worth spending time on and then rapidly move forward on the best ones.
We are a group of investors and engineers (Ex-Tesla, Goldman Sachs, Vista Equity Partners, McKinsey, multitude of startups). Our founding team has been part of 4 successful acquisitions as early employees, has over 20 total years of experience in M&A investing, and have been previous founders. Our technical expertise stems from specialized industries such as AI robotics, AI drug discovery, and AI-driven ecommerce advertising.
Keye is generating revenue and has grown 600% in the past 6 months and an oversubscribed seed funding round. We also have a long waitlist for early access users, and we're planning to release our beta to them in October. You’ll play a key role on the team, helping launch and ship features daily for users to test and provide feedback on.
As a core member of our early team, you’ll partner directly with our CTO to shape Keye’s product, mentor our frontend squad, and ship daily improvements to real users. This is a true full-stack opportunity (70 % frontend, 30 % backend) where you’ll own end-to-end features—from interactive UI components to CI/CD pipelines to scalable API integration. You’ll help integrate cutting-edge AI services into a polished, performant Next.js application.
If you are excited about the opportunity to work on innovative AI solutions and want to be a part of a company that values creativity, autonomy, and growth, we would love to hear from you. Even if you don’t meet every single qualification, we encourage you to apply. We’re looking for talented and passionate individuals who are eager to learn and grow with us!
Keye is an incoming Y-Combinator (YC F24) and venture-backed startup focused on speeding up the due diligence process in private market mergers and acquisitions with AI.
Our platform analyzes data rooms in dealmaking using advanced data and machine learning techniques and gives investors 80% of the deal in under 30 minutes, a process that otherwise takes weeks! The output is an interactive diligence report to help funds say no to a deal much earlier and save millions on third-party diligence costs.
When firms use Keye to analyze deals, they’re tapping into a wealth of diligence knowledge and best practices that are baked into our proprietary analysis engine from over a decade of investor experience. With rapid deal analysis, firms can easily decide which deals are worth spending time on and then rapidly move forward on the best ones.
We are a group of investors and engineers (Ex-Tesla, Goldman Sachs, Vista Equity Partners, McKinsey, multitude of startups). Our founding team has been part of 4 successful acquisitions as early employees, has over 20 total years of experience in M&A investing, and have been previous founders. Our technical expertise stems from specialized industries such as AI robotics, AI drug discovery, and AI-driven ecommerce advertising.
Keye is generating revenue and has grown 600% in the past 6 months. We also have a long waitlist for early access users, and we're planning to release our beta to them in October. You’ll play a key role on the team, helping launch and ship features daily for users to test and provide feedback on.