Full-Stack Engineer

We're looking for a full-stack engineer to help us shape the future of science.

As a founding member of the team, you'll make a significant impact as we rapidly scale revenue from $1M to $10M and then $10M to $100M+.

You should have familiarity with building and improving a high-quality well-designed web app in production. Our stack is React, Next.js, Javascript/Typescript, MySQL, TRPC and Tailwind.

In this role, you'll:

• Improve Unriddle by shipping product features, fixing bugs and removing technical debt.
• Move fast but polish things - we deeply care about good design but we don't let this slow us down.
• Develop strong opinions, be able to communicate them and turn them into features.
• Build internal tools to automate non-product work.

You're likely a good fit if you:

• You move fast, have a strong bias for action and don't shy away from stepping on toes.
• Have independently built and scaled a product to at least a few thousand users (e.g. a side project or open-source project).
• Have worked in a high-growth, fast-paced environment (ideally another startup) and can drive things forward with relatively little oversight.
• Are familiar with AI concepts, especially in the context of generative AI models.

We're based in San Francisco but have members of the team in Europe too. We offer premium healthcare (medical, dental, etc.), flexible working hours and office space with a beautiful view of the SF marina and Golden Gate bridge.

If interested, reach out with a couple of sentences about you, links to what you've shipped before and what you want to do for us starting next week. This is super important - any application without this will be ignored.

About Unriddle: Unriddle helps researchers make breakthrough discoveries faster. We are a single platform to find, understand and produce research papers.

In just one year, we've grown to $1M ARR and 1.5M users. We're growing 20% month-over-month and our users include teams at Stanford, GSK and Johns Hopkins.

We use language models to surface and breakdown relevant information, suggest novel connections between papers and automate rote research tasks. This free's up headspace for higher reasoning and insight - essentially expanding the researcher's mental RAM and letting them load larger problems into memory.

We're starting with software to read, write and find papers, but our ultimate goal is to build the researcher of the future: a human-AI hybrid that's an order of magnitude more effective than any single researcher.

And we just closed a $2.4M seed round with participation from Y Combinator, Pioneer Fund, Tom Preston-Werner (co-founder of Github) and Steve Huffman (co-founder and CEO of Reddit).