About Meticulate
LLM-powered company intelligence platform. Using extensive LLM pipelines, we provide powerful company discovery, tracking, and research capabilities to investment and sales teams. The intelligence and good unit economics of LLMs allow us to provide far more value to our customers than incumbent tools like Pitchbook, Grata, AlphaSense, and Apollo. We’re a seed-stage startup out of Y Combinator Winter 2024, backed by leading AI investors including Link Ventures, Cervin Ventures, and Leonis Capital.
Gaining traction on both self-serve and enterprise offerings. Hundreds of professionals from firms like Bank of America, EY, BCG, and Khosla Ventures are repeatedly coming to Meticulate to run market mapping and company searching workflows that would otherwise take hours. After starting to offer our enterprise product in the last 2 months, and have seen great commercial traction with multiple large ($B’s in AUM) investment firms. We have big milestones to hit and need help to get it all done!
The Role
We’re looking for a Founding Engineer (employee #1). You’ll be working closely with us (co-founders Joseph + Wilbur) on the engineering team and you’ll have significant ownership over the parts of the product you want to cover. As an early engineer, you will be all over the codebase, from spinning up infra to placing pixels on the frontend.
Ideally you
- Love to work with new technologies and are excited about solving challenging and unfamiliar technical problems
- Work hard and take pride in your work
- Thrive in a fast-paced small team/startup environment (in-person in the office is default working environment)
- Enjoy building transformational tools for our very demanding customer set
Our tech stack:
- AWS for cloud infrastructure
- Python on the backend - Celery for task management
- React (Typescript) for the frontend
- Lots of LLM-related stuff that we can chat about
Some of the aspects of building at Meticulate that we love and hopefully excite you too:
- Tackling problems that could never done before LLMs
- Re-imagining UI/UX for the company intelligence space with new product capabilities
- Using limited model intelligence & context to automate highly complex tasks