Role overview

You will own the core matching and recommendation engines from zero to production scale. Working alongside founders from Uber and Cash App, you’ll build the systems that define the user experience for this voice-first dating app. This is a high-impact role requiring expertise in scaling user-facing algorithms for consumer personalization.

Known

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Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.

Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.

We are a team of engineers who’ve created some of the most widely used AI-driven consumer products including Uber Eats, Uber, Faire and Afterpay.

We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.

How It Works: On Known, who you see is intentional by design.

There's no feed to scroll. No feeling that someone better is one profile away. It starts with a conversation with Known. Understanding who you are, how you live, and what you're actually looking for. You're introduced to one person at a time, guided by what Known learns about you. Your profile is created for you, dynamically. It evolves as Known gets to know you better. When you're curious about someone, you can ask Known questions. The things you'd normally wonder but never quite know. When interest is mutual, Known takes care of what's next. Schedules are coordinated. The venue is chosen. And the date is set. Less scrolling. More

What you will do

Design and implement the production-scale recommendation and ranking algorithms that power the core single-match experience for every Known user.
Lead the transition of matchmaking systems from experimental prototypes to robust, scalable production environments capable of handling high-growth consumer traffic.
Grow and mentor a small, high-performing technical team while maintaining a hands-on approach to shipping high-quality, user-facing personalization features.

Who this is a fit for

Proven experience building and scaling user-facing recommendation, matching, or ranking algorithms at an early-stage consumer company like Tinder, Instagram, or Spotify.
Significant tenure as an early engineer during a 0→1 or rapid scaling phase, having stayed to see systems reach production maturity and scale.
Strong leadership background with experience growing small technical teams and a passion for building intimate, high-signal personalization experiences for end users.

Why this role is remarkable

Join an elite founding team from Cosmos, Uber, and Cash App who have a proven track record of building high-growth AI-driven consumer products.
Work at the forefront of consumer AI with $10M in seed backing from top-tier investors including Forerunner Ventures, NFX, and Pear VC.
The recommendation engine isn't just a feature; it is the entire product, offering you total ownership over the company's core value proposition.

How Jack & Jill work together

I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

AI/ML Engineer at Known