San Francisco, CA (In-Person)
200k-375k 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.
Learn more
We’re looking for founding machine learning engineers to continue to design and build Known’s core systems intelligence, driving our recommendation engine and agentic systems.
This is a unique opportunity to work with an ultra-personal data-set, combining voice transcripts, images, and structured user data to create both personalized AI companions as well as predict human compatibility. You’ll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
It’s up to you to decide what part of the ML stack you’re most excited about working on.
This could be:
Training and deploying ML models that form the core of our recommendation engine
Designing evals to assess recommendation ability and RL systems to learn from results data
Building personalization and long-term memory systems into Known’s conversational AI
Using LLMs to enhance our suite of user facing AI Agents
You will own the end-to-end lifecycle of your models, from ideation and training to deployment and monitoring.
4-6 years experience training and deploying ML models in production, leveraging PyTorch and TensorFlow
Applying or fine-tuning LLMs to build agentic systems or complex conversational AI
Experience with neural network models
Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP)
You want to build intelligence that could lead to a million marriages and babies
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
","descriptionPlain":"KNOWN - FOUNDING MACHINE LEARNING ENGINEER\n\n - San Francisco, CA (In-Person)\n\n - 200k-375k Cash + Equity\n \n\nKnown 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.\n \n\nUsers 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.\n\nWe 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.\n\nWe love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.\n\n\nLearn more\n\n - Known https://apps.apple.com/us/app/known-swipeless-dating/id6748926392\n\n - Our Launch https://x.com/Celesteamadon/status/2018023250408960293?s=20\n\n - Known’s 10M Seed | TechCrunch https://techcrunch.com/2025/12/19/known-uses-voice-ai-to-help-you-go-on-more-in-person-dates/\n\n - “You Don’t Need to Swipe Right” - Known | NYT https://www.nytimes.com/2025/11/03/technology/ai-dating-apps.html\n\n - Known | FastCompany https://www.fastcompany.com/91484596/every-dating-app-has-ai-now-can-it-help-make-better-matches\n\n - Website https://www.knowndating.com/\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for founding machine learning engineers to continue to design and build Known’s core systems intelligence, driving our recommendation engine and agentic systems. \n\nThis is a unique opportunity to work with an ultra-personal data-set, combining voice transcripts, images, and structured user data to create both personalized AI companions as well as predict human compatibility. You’ll work directly with Chen Peng, former head of ML at Uber Eats and Faire.\n\n\n\n\nWHAT YOU’LL DO\n\nIt’s up to you to decide what part of the ML stack you’re most excited about working on.\n\nThis could be:\n\n - Training and deploying ML models that form the core of our recommendation engine\n\n - Designing evals to assess recommendation ability and RL systems to learn from results data\n\n - Building personalization and long-term memory systems into Known’s conversational AI\n\n - Using LLMs to enhance our suite of user facing AI Agents\n\nYou will own the end-to-end lifecycle of your models, from ideation and training to deployment and monitoring.\n\n\n\n\nREQUIREMENTS\n\n - 4-6 years experience training and deploying ML models in production, leveraging PyTorch and TensorFlow\n\n - Applying or fine-tuning LLMs to build agentic systems or complex conversational AI\n\n - Experience with neural network models\n\n - Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP)\n\n - You want to build intelligence that could lead to a million marriages and babies\n\n\n\n\n\nOUR INVESTORS\n\nWe’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.","compensation":{"compensationTierSummary":"$200K – $375K • Offers Equity","scrapeableCompensationSalarySummary":"$200K - $375K","compensationTiers":[{"id":"a591964c-4f2a-40ee-baef-d41aabe4ee0e","tierSummary":"$200K – $375K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"670e9f79-ae1b-45a0-81d3-6c7a5cae0a82","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"b5545fa4-35ee-4888-9d78-8a2977fed418","summary":"$200K – $375K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":375000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":375000}]}},{"id":"18f02361-1aa2-4f9f-bdc9-65539a5e3161","title":"Founding Growth","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-10-29T00:53:05.259+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Known/18f02361-1aa2-4f9f-bdc9-65539a5e3161","applyUrl":"https://jobs.ashbyhq.com/Known/18f02361-1aa2-4f9f-bdc9-65539a5e3161/application","descriptionHtml":"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
San Francisco, CA (In-Person)
150-200k + 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 exceptional product builders to continue to elevate the Known mobile app. Building Known is an exercise in design. We strive to be the Apple of dating and our engineers are artisans who steward quality. We are a product-led, user-obsessed company. Our goal is to craft a product that feels intentional and distinctly human.
Primarily work as a React Native engineer
Build products centered around complex audio and voice features
Want to design intelligence that leads to 1 million marriages
Are highly detail oriented
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
","descriptionPlain":"KNOWN - PRODUCT ENGINEER, REACT\n\n - San Francisco, CA (In-Person)\n\n - 150-200k + Equity\n\n\n\nKnown 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.\n \n\nUsers 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.\n\nWe 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.\n\nWe love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for exceptional product builders to continue to elevate the Known mobile app. Building Known is an exercise in design. We strive to be the Apple of dating and our engineers are artisans who steward quality. We are a product-led, user-obsessed company. Our goal is to craft a product that feels intentional and distinctly human.\n\n\n\nYOU MIGHT BE A FIT IF YOU\n\n - Primarily work as a React Native engineer\n\n - Build products centered around complex audio and voice features\n\n - Want to design intelligence that leads to 1 million marriages\n\n - Are highly detail oriented\n\n\n\nOUR INVESTORS\n\nWe’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.\n\n","compensation":{"compensationTierSummary":"$150K – $200K • Offers Equity","scrapeableCompensationSalarySummary":"$150K - $200K","compensationTiers":[{"id":"7011d8a0-dad1-41cd-9bf6-f3adc294b336","tierSummary":"$150K – $200K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"cbb5bc54-34ee-4d49-a3ac-1e7501e908d3","summary":"$150K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000},{"id":"5effca38-6ff3-4613-8fde-5604de6d2990","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":150000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"2cdfd1b2-d3e1-4893-b78f-c3d4572e4788","title":"Product Operations","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-14T23:25:20.681+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Known/2cdfd1b2-d3e1-4893-b78f-c3d4572e4788","applyUrl":"https://jobs.ashbyhq.com/Known/2cdfd1b2-d3e1-4893-b78f-c3d4572e4788/application","descriptionHtml":"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 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 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.
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.
We’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
","descriptionPlain":"KNOWN - FOUNDING PRODUCT OPERATIONS\n\n - San Francisco, CA (in-person)\n\n - 120-150k + equity\n \n\nKnown 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.\n \n\nUsers 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.\n\nWe 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.\n\nWe love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.\n\n\n\nABOUT THE ROLE\n\nWe 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.\n\n\n\nTHE ROLE\n\nWe 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.\n\nThis could be:\n\n - Designing product experimentation with notifications and user retention\n\n - Owning user metrics (onboarding, date conversion, and retention)\n\n - Developing Human-In-The-Loop processes across waitlist approval and matchmaking\n\n - Building an automated testing suite for new app builds\n\n - Coordinating app-store submissions and reviews\n\nWorking at Known means building intelligence that could lead to a million marriages and babies.\n\n\n\nOUR INVESTORS\n\nWe’re backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.\n\n","compensation":{"compensationTierSummary":"$120K – $150K • Offers Equity","scrapeableCompensationSalarySummary":"$120K - $150K","compensationTiers":[{"id":"f08dd74a-982f-4b16-aace-4b75d71b1dd2","tierSummary":"$120K – $150K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"88ece6b2-05f6-4fe8-bd41-6f6beadc2d0f","summary":"$120K – $150K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":150000},{"id":"36a10d59-aa2a-4a10-a2af-57d1fa68a866","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":120000,"maxValue":150000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"416734e5-ac48-4960-b053-be79453029d3","title":"Autumn 2026 GTM Intern","department":"Operations","team":"Operations","employmentType":"PartTime","location":"San Diego, CA","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-05-07T23:00:56.339+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":null,"jobUrl":"https://jobs.ashbyhq.com/Known/416734e5-ac48-4960-b053-be79453029d3","applyUrl":"https://jobs.ashbyhq.com/Known/416734e5-ac48-4960-b053-be79453029d3/application","descriptionHtml":"About Known
Known is not a dating app. Known is a matchmaker. Users join by doing a voice call with Known, we curate one match at a time, and we plan the actual date, restaurant included. No swiping. No endless chatting. Just real connection.
We're backed by Forerunner Ventures, NFX, and PearVC, and we've built a community of 10,000 users in San Francisco through parties, creators, and word-of-mouth. Now we're bringing that to San Diego.
About the Fellowship
We're looking for 2-3 interns to help support Known GTM across our launch cities. You'll be working directly with our on-the-ground team to shape how Known enters each of our launch cities social scenes, at events and inside the social circles that actually matter.
If you're deeply plugged into San Francisco and/or San Diego, and passionate about marketing, events, social media, or community building, this is for you.
What you'll do
Plan and host dinners, parties, and events that introduce Known to San Diego / San Francisco
Map the social landscape: who the connectors are, which circles matter, where the culture lives
Recruit users and identify influential students and creators worth bringing into the Known community
Create content for TikTok and Instagram that feels native, not promotional
Source and develop local partnerships with venues, brands, and organizations that fit the Known vibe
Who you are
You're extremely social and well connected in San Francisco / San Diego
People trust your taste and follow your lead
You understand social dynamics intuitively
You're comfortable on camera and making content
You're excited by startups, culture, and being part of something early
You're based in San Diego or will be there for the month of June
San Francisco, CA (In-Person)
$200k–$350k 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.
Learn more
We're looking for exceptional backend engineers to build the infrastructure that powers Known's core product, from real-time conversational AI to intelligent matchmaking and autonomous agents.
This is a unique opportunity to contribute to the technical foundation for an AI-native consumer product. You'll work across distributed systems, data infrastructure, and AI integrations, solving complex engineering problems at the intersection of large-scale consumer applications and frontier AI.
It's up to you to decide what part of the backend stack you're most excited about working on.
This could be:
Designing and scaling the backend services, APIs, and infrastructure that power Known's core consumer experience
Building real-time systems that support conversational AI, voice interactions, and agentic workflows
Architecting data pipelines and storage systems to support matchmaking, personalization, and machine learning
Developing reliable, low-latency services that connect our AI agents to real-world actions and third-party integrations
Improving the performance, reliability, security, and scalability of our systems as we grow to millions of users
You will own systems end-to-end, from architecture and implementation to deployment, monitoring, and scaling.
4–6 years of experience designing, building, and deploying production backend systems
Strong proficiency in at least one backend language (e.g., Python, Go, TypeScript, Java)
Experience designing APIs, distributed systems, and scalable service architectures
Experience with relational databases, caching, asynchronous processing, and data infrastructure
Experience with cloud infrastructure and deployment (e.g., Docker, Kubernetes, AWS/GCP)
Strong product intuition and a bias toward shipping, iterating, and taking ownership
You want to build technology that could lead to a million marriages and babies
We're backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
","descriptionPlain":"KNOWN - BACKEND ENGINEER\n\n - San Francisco, CA (In-Person)\n\n - $200k–$350k Cash + Equity\n \n \n\nKnown 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.\n \n\nUsers 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.\n\nWe 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.\n\nWe love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.\n\n\nLearn more\n\n - Known - App Store https://apps.apple.com/us/app/known-swipeless-dating/id6748926392\n\n - Known's $10M Seed | TechCrunch https://techcrunch.com/2025/12/19/known-uses-voice-ai-to-help-you-go-on-more-in-person-dates/\n\n - The Agentic 20 | Forbes https://www.forbes.com/sites/annatong/2026/10/08/the-agentic-20/\n\n - Known | NBC Bay Area https://www.nbcbayarea.com/news/local/stanford-known-dating-app-ai/4091043/\n\n - \"You Don't Need to Swipe Right\" - Known | NYT https://www.nytimes.com/2025/11/03/technology/ai-dating-apps.html\n\n - SF Hot List https://known.com/hotlist\n \n\n\nABOUT THE ROLE\n\nWe're looking for exceptional backend engineers to build the infrastructure that powers Known's core product, from real-time conversational AI to intelligent matchmaking and autonomous agents.\n\n\nThis is a unique opportunity to contribute to the technical foundation for an AI-native consumer product. You'll work across distributed systems, data infrastructure, and AI integrations, solving complex engineering problems at the intersection of large-scale consumer applications and frontier AI. \n\n\n\nWHAT YOU'LL DO\n\nIt's up to you to decide what part of the backend stack you're most excited about working on.\n\nThis could be:\n\n - Designing and scaling the backend services, APIs, and infrastructure that power Known's core consumer experience\n\n - Building real-time systems that support conversational AI, voice interactions, and agentic workflows\n\n - Architecting data pipelines and storage systems to support matchmaking, personalization, and machine learning\n\n - Developing reliable, low-latency services that connect our AI agents to real-world actions and third-party integrations\n\n - Improving the performance, reliability, security, and scalability of our systems as we grow to millions of users\n\nYou will own systems end-to-end, from architecture and implementation to deployment, monitoring, and scaling.\n\n\n\n\nREQUIREMENTS\n\n - 4–6 years of experience designing, building, and deploying production backend systems\n\n - Strong proficiency in at least one backend language (e.g., Python, Go, TypeScript, Java)\n\n - Experience designing APIs, distributed systems, and scalable service architectures\n\n - Experience with relational databases, caching, asynchronous processing, and data infrastructure\n\n - Experience with cloud infrastructure and deployment (e.g., Docker, Kubernetes, AWS/GCP)\n\n - Strong product intuition and a bias toward shipping, iterating, and taking ownership\n\n - You want to build technology that could lead to a million marriages and babies\n \n\n\nOUR INVESTORS\n\nWe're backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}