Founding Growth
Known
Founding Growth
Known
Voice-first AI dating matchmaking platform
San Francisco, CA (In-Person)
100-130k Cash + Equity
Known is a matchmaker that talks to users and supports them like a friend. Our mission is to make finding love one of the defining achievements of abundant general intelligence.
Users join Known by telling us their life story. On average, they spend 27 minutes talking to our conversational AI, sharing the experiences, hopes, and complexities that make them who they are. This gives us an extraordinary depth of personal context, and an even greater responsibility to earn and protect the trust behind it.
We are a team of ex-founders, engineers, and go-to-market operators who've helped build and scaled some of the world's most influential consumer AI products, including Uber, Uber Eats, Airbnb, Bland, and Faire.
We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.
We are looking for the top 0.1% operations talent to work alongside our founders in San Francisco as we sprint from our $10M seed round toward launching across the US.
1-4 years of experience in early-stage startups, consulting, investment banking, or a similar high-performance environment
A systems-minded operator who embraces ambiguity
Strong communicator (written and verbal)
Strong specialty characteristics
We expect you to own a piece of Known’s growth. It’s up to you to decide what part of Known you’re most excited about working on.
This could be:
0-1 on a GTM strategy to scale Known to 100,000 users
Scaling a UGC programs to thousands of creators and tens of thousands of users
Growing a community for a beloved consumer brand; creating matchmaking events, brand partnerships and event series' across Known's launch cities
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
Learn more
Known uses a voice-first AI system to match people. It conducts a conversational onboarding where an AI interviewer asks open-ended questions to build a detailed voice-derived profile, which then feeds its matching algorithms. The platform aims to turn introductions into in-person dates with a pay-for-outcome model; early tests report around 80% of introductions lead to meetings. Differentiators include replacing text bios with voice signals to capture nuance and context, focusing on outcomes rather than just matches, and plans to scale from San Francisco to broader markets to help people form meaningful connections.
Explore more opportunities at Known