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.

Software Engineer (Full-time)

Location: New York, USA (Hybrid 3-days per week)

About Us: 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.

Role Overview: As a Software Engineer, you will get in on the ground floor as a core hire with opportunities to lead and execute Keye’s vision. This is a unique opportunity to work across the entire stack—contributing to everything from front-end and back-end development to DevOps and machine learning. You will have the autonomy to own various features and be at the forefront of integrating the latest advancements in AI into our platform.

Key Responsibilities:

• Full-Stack Development: Own and deliver AI-powered features end-to-end across with speed, scalability, and startup-level autonomy.

  Applied AI Systems: Productionize and scale robust agent workflows for real-world data, with fault tolerance and orchestration for high reliability; if you’ve built customer facing technology with RAG, Text-to-SQL, or vector search before, that’s a plus.

  DevOps & Infrastructure: Maintain CI/CD, scale cloud infrastructure (AWS, Docker), and ensure observability/security.

  Data Science & Backend Engineering: Built robust data models and analysis workflows by integrating specific client requested analyses into our platform.

  Strategic Product Engineering: Collaborate with CTO/CPO on roadmap, architecture, and rapid iteration based on customer feedback.

What you can expect to work on:

• Ship: Launch a core product feature that uses AI agents end-to-end—design the DB schema, build the backend API, implement the frontend UI, and deploy it to production.
• Analyze: Launch a new analysis that a customer asked for with a quick turnaround.
• Harden: Productionize at least one agent workflow with fault tolerance, retry logic, and monitoring to handle real investor data at scale without downtime.
• Integrate: Upgrade CI/CD pipelines to enable quick deployments, automated test runs, and rollback safety.
• Optimize: Improve ingestion pipelines to reliably handle files with unknown schemas and reduce processing latency by at least 30%.
• Collaborate: Partner with the CTO/CPO in 2–3 customer feedback cycles to iterate on features and prioritize the roadmap.

Qualifications:

• 4+ years building and shipping full-stack applications in production.
• Strong portfolio or GitHub with examples of complex, impactful projects (share links in your application).
• Experience developing modern AI applications, including AI agents, and ideally past POCs with RAG or Text-to-SQL.
• Proficiency in:
  • Backend: FastAPI (Python)
  • Frontend: Next.js
  • DevOps: CI/CD, containerization, serverless deployment
  • Databases: PostgreSQL
  • Data: Warehouses & lakes
  • ML/AI Tools: PyTorch, Hugging Face, LlamaIndex, LangChain
• Bonus skills: monitoring/logging, testing frameworks (Pytest, Jest), data pipelines (Dagster), CI/CD (CircleCI), messaging/queues (Celery, Redis, RabbitMQ), Kubernetes.
• Solid understanding of DevOps principles and experience with cloud platforms (AWS, GCP, Azure).
• Strong problem-solving skills and the ability to work independently in a fast-paced startup environment.
• Passionate about staying up to date with the latest developments in AI and technology.

Nice to Have:

• Experience working in the fintech sector.
• An advanced degree in Machine Learning / Artificial Intelligence with a proven record of success in applying it (career and/or projects)
• Experience as a previous founder and/or early stage employee at a technology company

Why Join Us?

• Novelty and Trailblazing: We aren’t building another CRUD app, or a GPT wrapper. We’re a team of researchers, engineers, and domain experts who are building a new generation of technology for the finance industry. What you learn here has never been done or applied in this industry before (and all of our customers are saying the same thing).
• Impact & Ownership: As a early software engineer, you will have a significant impact on the direction of our product and company. You will own key features and see the direct impact of your work.
• Innovative Culture: Be part of a team that values creativity, autonomy, and staying ahead of the curve in the latest AI advancements.
• Competitive Compensation: We offer a competitive salary, equity, and benefits package that reflects your value to our team.

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.

We aren’t building another CRUD app, or a GPT wrapper. We’re a team of researchers, engineers, and domain experts who are building a new generation of technology for the finance industry. What you learn here has never been done or applied in this industry before.