Join Conductor

Conductor lets you run a team of coding agents on your Mac. We launched in mid-2025. We're used by engineers at leading companies like Linear, Vercel, Ramp, Notion, Stripe, and Y Combinator. We've grown 250% in the past month (Jan 2026) and raised $2.8M from some of the top investors in Silicon Valley.
Our plan
Coding agents are doing work that junior engineers used to do. Soon they'll be doing senior-engineer work. In response, humans are becoming full-time AI-managers.
What software will these AI-managers use? Conductor has already created a narrow new product category, the "AI orchestrator," and it's already changing how people work. As one engineer at Ambrook told me on a call:
A huge amount of my work now is wildly parallelized, in a way I've never had to worry about before. It's been a while since a dev tool has changed my life [like Conductor did].
Right now, AI-managers use many tools alongside Conductor. They'll probably use existing coding software (Cursor, Warp, GitHub) and tools for human managers (Linear, GitHub, Slack).
Of all those tools, we think it's the AI orchestrator that has the best shot at becoming the primary UI that the AI-managers will use. Although it's the newest and least-established of those tools, it's the only one built ground-up with AI in mind.
Designing the first AI orchestrator from the ground up as we build it has been a ton of fun. It feels like a perfect match for the skillset of our team (technical chops, customer focus, taste, and speed speed speed). And if we win the category, Conductor will be a massive company.
Our team
One reason we started Conductor was to create a place where we could do the best work of our lives: in person, with incredible people, toward a formidable goal, holding each other to the highest standards. Conductor feels like an elite sports team.
We work in person ~5 days a week in San Francisco. Learn more about what it's like working at Conductor.
US
Quant at Point72. Growth and developer experience at Replicate.
Built ML systems for video understanding and recommendations at Netflix.
Built the data infrastructure that powers Netflix's ML platform.
INVESTORS
Developer tools legend. Built Parse, sold it to Facebook.
Built Scale AI from zero to $29B. Now Chief AI Officer at Meta.
YOU
We're looking for exceptional engineers and designers to work with us in SF