Official job description and application form here: We recommend you read that and apply there, as Linkedin doesn't support all our links.
Who are we?
We're an AI B2B SaaS startup (seed stage $2M, post-revenue) making renewable energy cheaper and faster to build. It's us two: Lyon (builds the product), Mark (builds the business), growing to five in the next year.
What do we do?
We automate M&A due diligence in renewable energy with AI agents and tools. Ultimately our vision is to build a system that can automate complex human decision making across many domains.
Why work for us?
Impact you would have
- Climate. The best way to make something inevitable is to make it cheap. We aim to significantly reduce the soft costs of 250GW of renewable energy in the US over the next 5 years.
- Invent the future. It's clear that LLMs have given computers capabilities they've never had before. Soon, new workflows and tools will emerge that let us offload more and more work to computers. But first, we have to invent them. Automating due diligence workflows is a tractable next step toward that future.
- Design new HCI primitives. The line between human and computer is shifting, and the era of search-engine and desktop file systems is ending. What will be the next universal primitives for interacting digital information? We're working on them now - come push the frontier with us.
The work you'd do
We're looking for someone who wants to own whole parts of the product, and we're flexible on where. Our goal is to give you the opportunity to do the best work of your life; we buy the best dev tools, have a generous education budget, and will encourage you to build what you think matters.
- Agents. Build our control layer using SOTA LLMs and information retrieval systems to automate complex human decision making.
- AI-enabled workflows. Build an ai-first app that is intuitive, powerful, uses modern HCI principles, and generally doesn't suck to use.
- Domain modeling. Like talking to customers? Like deeply understanding their problems? Build our domain model layer to encode their subject matter expertise and use it to take work off their hands.
In any of these we want you to have a lot of ownership over architecture, and stack, with as much exposure to customers and influence over product direction as you like.
More detail in our leveling matrix.
Your lived experience
- We show up for each other. We subscribe to a culture of mutual commitment and building a healthy workplace is equally important to building our tech. Both are how we contribute to a better world.
- We prioritize equity and inclusion. We're committed to building a fair workplace.
- We use the best dev tooling and believe in the compounding value of quality code.
- We work from passion. We are doing the best work of our lives and are building something that has a real impact. If you want to be surrounded by people who give a shit, about the mission and about each other, join us.
Why shouldn't you work with us?
We want this job to be the best possible role for you. As an early startup there are things we can't offer, and if these things are important to you, maybe another company would be a better choice.
- Model training - Our near term strategy is to use SOTA hosted models and focus on the agent+application layer.
- Experience managing others - If all goes well, there will be plenty of opportunities for this in 1y, but the team will stay lean until our next round.
- Low working hours - we are here to do the best work of our lives, and for a large reward, unfortunately this requires time and effort
What we're looking for:
- You've built products end to end: Hacky side projects, a previous startup product, a 0 to 1 effort at an established company.
- You're comfortable in a startup environment: You enjoy figuring out the fastest way to make something useful, even if it isn't pretty.
- Making mistakes doesn't scare you; you enjoyed learning brand new technologies and ways of building.
- Bonus You have experience with ML/LLMs; you understand the capabilities of the technologies in this field.
If you don't perfectly fit the description above, but are excited about the job and could be good at it, that's ok. We want to hear from you.
Next steps
Send in an application on our official job posting: