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We’re looking for experienced full stack design engineers who thrive in fast-moving startups, and are excited to reimagine UX for an AI native workspace.
Qualifications
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Willingness to work in-person in San Francisco
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Experience building and designing magical user experiences
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Obsessively product-minded
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Ability to work in fast-paced and ambiguous environments
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Insatiably curious and learns quickly
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History of superlative achievement
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Experience building production web apps at scale using TypeScript, NextJS , React, JavaScript, CSS, web animation/motion, and other web technologies
Responsibilities
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Design performant, beautiful, and usable interfaces that users love
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Build in a full stack capacity with a focus on frontend
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Plan and deploy any necessary front end infrastructure
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Talk to users, track metrics, and iterate quickly
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Define the user experience for spreadsheet-based agents
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Shape product vision and roadmap
About Paradigm
Paradigm is a reimagined workspace with AI at its core. Paradigm is based in San Francisco and is backed by Y Combinator and the best builder/operators out there including cofounders of Dropbox, Intercom, Langchain, Redis, Behance, Posthog, and more.
Our team is extremely small and talent-dense. We are serial builders who have worked at companies like Google, MIT, Microsoft (Excel Team), Citadel, Penn, SIG, and more.
As agents become more and more powerful, accessible large scale agent-orchestration becomes the biggest opportunity.
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


