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Wordware in San Francisco is seeking a frontend engineer to own the frontend of our core product, shipping interfaces that feel instant, intuitive, and polished even when the underlying work is complex.
You will make product and design calls, prototype quickly, and execute without perfect specs. Expect craft beyond working code, including thoughtful loading states, error messages, and keyboard shortcuts.
Own the frontend of our core product - shipping interfaces that feel instant, intuitive, and polished even when the underlying work is complex. This isn't a role where you wait for designs to land in your queue: you'll make product and design calls yourself, prototype quickly, and execute without perfect specs. Sometimes you'll implement designs; other times you'll create them.
The expectation is craft - not just working code, but software that feels good: loading states, empty states, error messages, keyboard shortcuts, and the thousand small decisions that separate a polished product from a functional one.
We're a 12-14 person AI-native team building a personal AI assistant for knowledge workers - something closer to "Cursor for knowledge work" than a chatbot. The system understands user context, curates and prioritises work, operates in the background, and delivers supervision-ready output rather than waiting to be prompted. We've raised $30M in seed funding from Spark Capital, Felicis, and Y Combinator - one of the largest seed rounds in YC history. The team is composed of former founders, CTOs, and high-agency builders, where high ownership is the norm, not the exception.
4+ years of frontend engineering experience
A portfolio of complex web apps you've shipped - production systems real users depend on, not side projects
Deep React fluency: you understand state management, when to memoize, how callbacks work, and the component lifecycle, and you write clean, reusable components. You spot prop drilling before it becomes a problem and know when to lift into context or a dedicated state store
Full-stack comfort: owning a feature end to end - DB migration, backend route, frontend fetch, and UI - without a separate engineer for each layer
Performance instinct: you know when to cache, when to refetch stale data, and how to optimistically update the UI, and you notice duplicated network requests
Product sense and design intuition: take a rough product direction, sketch an interaction, and ship something that feels right without waiting for a finished spec
High autonomy, low ego: you ship, gather feedback, and iterate, and you unblock yourself
US work authorisation or O-1 eligibility, and based in the Bay Area or willing to relocate before starting (European candidates may be considered for O-1 visa sponsorship)
Experience with multiplayer apps (Y.js, Automerge, CRDTs)
Building interfaces for LLM-based tools - streaming responses, handling uncertainty, progressive disclosure
Local-first architectures (service workers, sync strategies)
A design background or strong visual sense
Previously a founding frontend engineer who established standards from scratch
1-minute Loom - tell us who you are and why this role.
15-minute intro call - align on location, motivation, and logistics.
System design interview - a deep dive into how you think and architect systems, walking through a real product problem together.
Final conversation - your questions answered and the work trial scoped.
Paid work trial - in person, a few days to two weeks, working on a real project to see how we work together.
Meaningful early-stage equity
Comprehensive health and dental coverage
401(k)
Gym budget and daily lunch
meaningful early-stage equity
health
dental
401(k)
lunch
We're a 12-14 person AI-native team in San Francisco building a personal AI assistant for knowledge workers - something closer to "Cursor for knowledge work" than a chatbot. The system understands user context, curates and prioritises work, operates in the background, and delivers supervision-ready output rather than waiting to be prompted.We've raised $30M in seed funding from Spark Capital, Felicis, and Y Combinator - one of the largest seed rounds in YC history. The team is composed of former founders, CTOs, and high-agency builders. High ownership is the norm, not the exception.