--- title: 'Product Operations at Known' canonical: 'https://feeny.ai/job/product-operations-known-san-francisco-0kc9rszfh64b' type: 'job' last_seen: '2026-09-09' --- # Product Operations at Known - **Company:** Known - **Location:** San Francisco, CA - **Compensation:** $120k–$150k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-01-14 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/known/2cdfd1b2-d3e1-4893-b78f-c3d4572e4788 ## Job description ## KNOWN - FOUNDING PRODUCT OPERATIONS - San Francisco, CA (in-person) - 120-150k + equity 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 uniquely intimate context that enables our matchmaking. We are a team of engineers who’ve created some of the most widely used AI-driven consumer products including Uber Eats, Uber and Afterpay. We love to work hard, with a high degree of autonomy and ownership. We work together in-person in Cow Hollow, San Francisco. ## ABOUT THE ROLE We are looking for world class product thinkers to own Known’s product experience. Known strives to be the Apple of dating. Our team goes to extraordinary lengths to deliver a best in class user experience. We are a product-led, user-obsessed company. You will work directly with the founders to maintain and develop magical user experiences that change people's lives. ## THE ROLE We expect you to own pieces of Known’s user experience. It’s up to you to decide what part of Known you’re most excited about working on. This could be: - Designing product experimentation with notifications and user retention - Owning user metrics (onboarding, date conversion, and retention) - Developing Human-In-The-Loop processes across waitlist approval and matchmaking - Building an automated testing suite for new app builds - Coordinating app-store submissions and reviews Working at Known means building intelligence that could lead to a million marriages and babies. ## OUR INVESTORS We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC. ## About Known ## Company Overview - **One-liner**: Known is building a personalized voice‑AI matchmaker that talks to users, understands their preferences, and supports them like a friend. - **Entity Type**: Private (Seed stage – raised $9.7M) - **Headquarters**: San Francisco, California, USA - **Founded**: Not publicly available - **Founders**: Not publicly available ## Core Business - Primary industry: Artificial intelligence / Consumer matchmaking - Target customers: B2C (individuals seeking meaningful human connections) - Mission: “Empower humanity by applying personalized general intelligence to human connection.” ## Products & Services - **Personalized Voice‑AI System**: A conversational agent that ingests speech‑to‑text and sentiment data, uses an in‑house LLM to model compatibility, and powers agentic chat with real‑world integrations (reservations, Uber, calendar). Delivered as a SaaS mobile/web experience. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding $9.7M (raised as of latest round) - **Notable Investors/Partners**: Not publicly disclosed in available sources - **Growth Signals**: Small, highly focused team of engineers who previously shipped major consumer AI products at Uber Eats, Uber, Faire, and Afterpay; recent funding indicates strong investor confidence. ## Competitive Advantages - **Personalized general intelligence**: The system learns each user’s compatibility preferences and adapts its conversations and suggestions over time. - **Real‑world integrations**: Directly books reservations, rides, and calendar events – going beyond typical chatbots. - **Tiny, high‑caliber team**: Engineers from some of the most‑used AI consumer products of the last decade, enabling rapid iteration and deep domain expertise. ## Strategic Focus - Current priority is to build the “one AI product they’ve always wanted to work on” – a deeply personal, voice‑first assistant for human connection. Near‑term focus likely includes growing the user base, refining the LLM for compatibility, and expanding integration partners. ## Why Work Here - **Culture**: Small, tight‑knit engineering team with a “build what you love” ethos. The company values shipping high‑impact AI consumer experiences. - **Work policy**: Hybrid – flexible on‑site presence in San Francisco (typical time on‑site: flexible). - **Notable perks**: - Top‑tier health, vision & dental insurance - Yearly company offsites - Lunch and dinner provided on‑site - Unlimited drinks & snacks - Office dog (Dolly) - **Engineering environment**: Opportunity to work across the full stack (STT, LLM, agentic chat, cloud infrastructure) and shape a product from early stage. ## Sources 1. 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