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