СШАFounding Engineer / Builder
3 нед. назад
150k–250k USD / годСШАSeniorRemote
aillm
Early-stage engineering role combining product thinking and engineering to build AI-driven growth tools for consumer brands.
О компании
- Distribution is the hardest problem every company has. Not building the product — getting it in front of people, over and over, in a way that works. Today that means an army of humans making creative, testing it, reading the numbers, and doing it again next week. It doesn't scale, and it's the single biggest tax on every consumer brand in the world.
- We think that changes. The billion-dollar companies of the next decade won't scale linearly with headcount — they'll be run by fleets of AI agents, and the org chart will look more like an architecture diagram than a hierarchy.
- builds self-improving AI agents that run growth for consumer brands — ads, UGC, organic — end to end.
- Very early - this is just a few months old, but seeing very strong pull:
- 200+ paying users
- 30,000+ ad creatives generated by our users in the last 2 months
- We're a YC company based in San Francisco, and we run the company on agent harnesses ourselves — not as a demo, as the actual way the work gets done.
- We’re a small team that previously built Athina AI, an LLM observability & evaluation platform that was used by companies like Perplexity, You, Doximity, Meesho, and several other public companies.
Обязанности
- You'd be a core part of the founding team. That means owning product and engineering decisions , shipping new products and features, talking to users, and deciding what to do next.
- The market is constantly evolving and so are we. You should be comfortable trying lots of things with uncertain outcomes and failing fast.
- Exceptional candidates will be considered for founding-level scope and equity.
Другое
- Note: This role is for someone who can combine engineering excellence with strong product thinking and taste. That’s why I’ve called it Founding Builder . The role is best for those who actually enjoy building products, not just building engineering systems.
- Goose is new, just a few months old.
- In the last few months itself, we’ve:
- built and shipped a product with paying customers
- attracted thousands of signups and over 200 paying customers
- built a skill library with over 1.1k stars that’s been getting some real traction and usage.
- grown a subreddit to 50k monthly visitors and over 4,000 community members
- went viral on X a bunch of times
- created a harness to teach our agent to make videos with AI (see examples here )
- A huge part of this was done by Goose, our AI coworker.
- Now we’re scaling this for our customers.
- Creative generation agents — agents that understand a brand well enough to make assets that actually perform for the brand, not just assets that look fine.
- Multi-channel distribution architecture — scaling creative across paid and organic channels, each with their own nuances.
- Self-improving generation — teaching an agent to read its own ad performance data and get better at the next batch.
- Plus everything else a founding engineer touches: the app itself, the pipelines behind it, the internal harnesses that make four people move like twenty.
- Strong technical background. You can go deep anywhere in the stack and you're fast.
- You've built and launched something real that people actually used. Company, side project, open source — we care that it shipped and that it got traction, not what it was attached to.
- You know how to design and architect AI agents. You've built agentic systems, hit their failure modes, and have opinions about what works.
- Strong at agentic engineering. Your own output is visibly agent-leveraged. This is how our whole company operates, so we especially value people who understand the intuitions behind agentic engineering well.
- Strong product and design sense. You can think clearly about what to build and why / why not. Strong design sense / taste is also highly valued.
- You want the 0 → 1. Early-stage operator energy: deep in the weeds, high tolerance for ambiguity, iterating fast toward PMF.
- Nice to have but not required: TypeScript/Next.js fluency, motion or video skills, and having been early at a startup before.
- TypeScript everywhere. Express + Prisma + Postgres on the backend, Next.js / React + Tailwind on the frontend, Claude Agent SDK, for the agent layer.
- If you've shipped something with real taste recently – send us the link.