{"schemaVersion":"jobsearcher.job.v1","id":"510e91612099585bc8fab11a","url":"https://jobsearcher.com/jobs/510e91612099585bc8fab11a","canonicalUrl":"https://jobsearcher.com/jobs/510e91612099585bc8fab11a","title":"Full Stack Engineer","description":"Location: San Francisco, CAWork Type: Hybrid, 3+ days/week in officeTeam Size: ~13–14 employeesIndustry: AI, Ad Tech, B2B, MarketingVisa Sponsorship: Not available; may consider transfer casesAbout MultiplyMultiply is a fast-growing AI startup helping B2B companies scale paid ads and get discovered by their dream customers. Traditional ad campaigns decay over time, but Multiply builds self-learning growth ads that continuously improve performance by combining AI with expert operators.The company is backed by Mayfield, Sorenson Capital, Instacart cofounder Max Mullen, and Google Gemini / Google Labs head Josh Woodward.Why Join MultiplyGround-floor opportunity to join as an early engineer at a seed-stage AI startupStrong traction with 25+ customers, including companies like Vanta, Grammarly, Superhuman, and Listen LabsOpportunity to work directly with the founders on product, roadmap, technical direction, and engineering cultureHigh ownership role where you will ship fast and build 0→1 product features end-to-endCompetitive compensation and meaningful early-stage equity upsideAbout the RoleMultiply is looking for a Full Stack Engineer with 3+ years of experience to help build the AI-native platform powering self-learning growth ads for B2B companies.This is an early engineering role for someone who wants to move fast, own features end-to-end, work closely with founders, and build products that combine full-stack engineering, AI agents, LLM workflows, and customer-facing product thinking.Multiply is also open to exceptional new grads with strong internship experience, familiarity with AI tools, and a clear ability to ramp quickly.What You’ll DoBuild 0→1 product features end-to-end, from idea to deployment to iterationDesign and ship systems that embed LLMs and AI agents into core ad platform workflowsCollaborate directly with founders and the strategy team to understand customer problems and propose solutionsUse AI-native development tools such as Cursor, Claude Code, and Codex as part of your daily workflowHelp shape engineering culture, tooling, and technical direction as an early team memberWork across the stack using TypeScript, React, Node.js, LLM APIs, AI agents, evals, and PythonWhat They’re Looking For3–10 years of full-stack engineering experienceStrong proficiency with TypeScript, React, and Node.jsExperience building and shipping AI-native products, LLM features, AI agents, or feedback loopsProduct-minded engineer who can work independently without detailed specsComfortable with ambiguity, fast iteration, and high ownershipStartup or founding engineer experience is strongly preferredPrior 0→1 building experience is a major plusFor new grads: strong internship experience at a recognizable company is requiredIdeal Candidate ProfileFast implementer who enjoys building quickly and iterating based on feedbackStrong product sense and ability to think beyond codeCollaborative, low-ego, and comfortable working directly with foundersActively uses AI tools in their engineering workflowCan clearly explain their own technical decisions and codeExcited to work in-person in San Francisco at least 3 days/weekInterested in committing to a startup for a meaningful period, not using the role as a short-term fillerAdditional Strong SignalsFounding engineer or cofounder backgroundSeed to Series B startup experienceExperience at AI-native B2B SaaS companiesProduction experience with LLMs, AI agents, evals, or feedback loopsStrong internships at companies such as Google, Meta, Databricks, Ramp, Stripe, Scale AI, Coinbase, or PalantirBig Tech background is acceptable if paired with clear startup interest and AI/ML exposure","company":"Descon","rawCompany":"descon","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-11T22:41:44.678Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Engineer","description":"Location: San Francisco, CAWork Type: Hybrid, 3+ days/week in officeTeam Size: ~13–14 employeesIndustry: AI, Ad Tech, B2B, MarketingVisa Sponsorship: Not available; may consider transfer casesAbout MultiplyMultiply is a fast-growing AI startup helping B2B companies scale paid ads and get discovered by their dream customers. Traditional ad campaigns decay over time, but Multiply builds self-learning growth ads that continuously improve performance by combining AI with expert operators.The company is backed by Mayfield, Sorenson Capital, Instacart cofounder Max Mullen, and Google Gemini / Google Labs head Josh Woodward.Why Join MultiplyGround-floor opportunity to join as an early engineer at a seed-stage AI startupStrong traction with 25+ customers, including companies like Vanta, Grammarly, Superhuman, and Listen LabsOpportunity to work directly with the founders on product, roadmap, technical direction, and engineering cultureHigh ownership role where you will ship fast and build 0→1 product features end-to-endCompetitive compensation and meaningful early-stage equity upsideAbout the RoleMultiply is looking for a Full Stack Engineer with 3+ years of experience to help build the AI-native platform powering self-learning growth ads for B2B companies.This is an early engineering role for someone who wants to move fast, own features end-to-end, work closely with founders, and build products that combine full-stack engineering, AI agents, LLM workflows, and customer-facing product thinking.Multiply is also open to exceptional new grads with strong internship experience, familiarity with AI tools, and a clear ability to ramp quickly.What You’ll DoBuild 0→1 product features end-to-end, from idea to deployment to iterationDesign and ship systems that embed LLMs and AI agents into core ad platform workflowsCollaborate directly with founders and the strategy team to understand customer problems and propose solutionsUse AI-native development tools such as Cursor, Claude Code, and Codex as part of your daily workflowHelp shape engineering culture, tooling, and technical direction as an early team memberWork across the stack using TypeScript, React, Node.js, LLM APIs, AI agents, evals, and PythonWhat They’re Looking For3–10 years of full-stack engineering experienceStrong proficiency with TypeScript, React, and Node.jsExperience building and shipping AI-native products, LLM features, AI agents, or feedback loopsProduct-minded engineer who can work independently without detailed specsComfortable with ambiguity, fast iteration, and high ownershipStartup or founding engineer experience is strongly preferredPrior 0→1 building experience is a major plusFor new grads: strong internship experience at a recognizable company is requiredIdeal Candidate ProfileFast implementer who enjoys building quickly and iterating based on feedbackStrong product sense and ability to think beyond codeCollaborative, low-ego, and comfortable working directly with foundersActively uses AI tools in their engineering workflowCan clearly explain their own technical decisions and codeExcited to work in-person in San Francisco at least 3 days/weekInterested in committing to a startup for a meaningful period, not using the role as a short-term fillerAdditional Strong SignalsFounding engineer or cofounder backgroundSeed to Series B startup experienceExperience at AI-native B2B SaaS companiesProduction experience with LLMs, AI agents, evals, or feedback loopsStrong internships at companies such as Google, Meta, Databricks, Ramp, Stripe, Scale AI, Coinbase, or PalantirBig Tech background is acceptable if paired with clear startup interest and AI/ML exposure","datePosted":"2026-05-11T22:41:44.678Z","dateModified":"2026-05-11T22:41:44.678Z","hiringOrganization":{"@type":"Organization","name":"Descon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"510e91612099585bc8fab11a"},"url":"https://jobsearcher.com/jobs/510e91612099585bc8fab11a"}}