Member of Growth Staff
Capy
Member of Growth Staff
Capy
AI-powered autonomous agents for complex codebases
We're building the AI software engineer you hand real work to. A thread starts from Slack, Linear, the web app, the desktop app, or the API; Capy makes the change on a cloud machine or right on your own laptop, office Mac mini, or any device you've paired, opens the pull request, and handles CI and review feedback until it merges. Work moves between your devices and the cloud mid-thread, big work splits into parallel agents across those machines, a review agent reads every PR, and automations run on a schedule or on platform events. The age of the solo coder is over: developers stop babysitting single agent sessions and start orchestrating fleets of agents, together with their team.
We're a small team in San Francisco, backed by Y Combinator and tier-1 investors, shipping to teams that run Capy on production codebases every day. We build Capy with Capy: our own PRs, reviews, and automations run through it.
Growth at Capy is about getting developers to find Capy, try it, and bring their team. It's a real engineering job and a lot more: you'll build the automation, tools, and pages that make growth scale, talk to customers constantly, make content about what people build with Capy, and run the events that put us in front of developers. The mandate is revenue leverage: you pick whichever lever moves the number fastest that week, whether that's something you ship, a customer call, a video, or a meetup.
This is a role for an engineer who loves hacking on things, is great with people, and is organized enough to run an event end to end. You'll own growth slices from the idea to the shipped thing and the result, and you'll do it without waiting on anyone.
Build what moves the numbers. Outreach and lifecycle automation, enrichment and qualification pipelines, landing pages, onboarding flows, demos, integrations, scrapers, and internal dashboards. Much of it runs on Capy agents, and you'll tell us where the agent falls short.
Talk to customers, a lot. Onboarding calls, feedback sessions, and check-ins with the teams running Capy every day. You'll know better than anyone why teams adopt Capy, where they get stuck, and why they bring their team, and you'll turn that into what we build and what we say.
Make content. Articles, videos, and demos about Capy, the workflows teams run with it, and the cool things people build: launch videos, side-by-side comparisons, and benchmarks included.
Run events. Hackathons, meetups, dinners, and workshops, often with other startups and developer communities. You own it end to end, from partners and venue to the follow-up that turns attendees into users.
Get Capy noticed in unexpected ways. The occasional guerrilla stunt or launch moment that people talk about.
Own the funnel. How developers find Capy, what they see first, how fast they reach a merged PR, and why they bring their team. You instrument every step and improve it.
Run experiments weekly. Ship, measure, keep what works, and kill what doesn't.
Technical. You can build a page, wire an API, query a database, write the automation, and ship a working prototype yourself, without waiting on an engineer.
A hacker. Your weekends have side projects, your browser has too many tabs of half-finished experiments, and you've shipped something people actually used.
Agent-native. Claude Code, Codex, Cursor, or Capy is how you already get things done, and you want to point a fleet of them at growth problems.
Great with people. You enjoy customer calls, you're good at getting developers to tell you what's really wrong, and people come away wanting to help you.
A creator. You can write an article developers finish and make a video that shows the thing instead of describing it.
Organized. You can run an event for a hundred developers without it feeling chaotic, and nothing falls through the cracks afterwards.
Measured. You know a vanity metric from one that pays for itself, and you set up the tracking to tell them apart.
In San Francisco. In a room with people doing the same.
You've grown something by building it and staying close to its users, and you'd rather show the thing than the slides.
You like switching between shipping code, a customer call, and filming a demo in the same day.
You get energized by a number that moved because of something you did last Tuesday.
Developer-focused growth before: devtools, infrastructure, open source, or an API product.
Events run for developers: hackathons, meetups, or conferences.
An audience or community you've built somewhere: X, YouTube, a newsletter, a Discord, GitHub.
Hands-on outreach tooling: enrichment, sequencing, and CRMs, wired together yourself.
Video and design chops: you can cut a launch clip or lay out a page without help.
Founder or early-employee experience.
$200K – $250K salary plus 0.5% – 1% equity. Medical, dental, and vision. Flexible PTO. Visa sponsorship and relocation support.
1. A 30-minute call with a founder about what you've grown and what you'd try first here.
2. A take-home: we give you a growth problem, you ship something real for it with whatever tools and agents you like, then walk us through it.
3. A day in the office working with the team.
4. Offer, usually within a week of the first call.
If you've ever grown something by building it and getting close to its users, we want to see it. Apply, or just send us the thing.
Capy builds an AI-native software engineering platform that runs autonomous AI agents in secure, dedicated virtual environments. Its core product, Scrapybara, offers instant, secure virtual desktops via an API, enabling AI agents to perform long-horizon tasks on large codebases without needing external browsers or ad-hoc APIs. The system executes on its own virtual machine asynchronously, reducing deployment time from hours to seconds and providing a scalable, secure environment for agents to browse, process, and modify code and tasks. Capy is differentiating itself by delivering a purpose-built infrastructure for AI agents to operate inside a controlled computing environment, rather than relying on general APIs or unstable browser contexts. The company’s goal is to provide infrastructure-as-a-service that enables companies to deploy autonomous AI agents to handle complex operational tasks across software development, data processing, and workflow automation.
Explore more opportunities at Capy