# AI Product Engineer - Company: [Town]() - Location: San Francisco - Team: EPD - Employment type: Full Time - Posted: July 23, 2026 ## Job description ## About Town Town is an AI-powered assistant that connects to your tools to do real work on your behalf -- triaging your inbox, drafting in your voice, managing your schedule, and running workflows across everything you use. It knows you deeply and gets sharper over time. ## About the Role The core technical challenge at Town is: context from everywhere, action anywhere. The assistant pulls from your email, calendar, Slack, docs, and connected tools to build a deep understanding of who you are and what you need -- then executes reliably across all of them. Town is not a chat wrapper. It's a rethinking of email, calendar, and contacts through an AI-native lens, a workflow builder that lets anyone automate real work, a suggestion engine that discovers what to automate before you think to ask, and a network of assistants that talk to each other across teams and organizations. You'll design and ship the experiences that make all of that legible and loved. You'll be a foundational hire, working across the full stack but anchored on the product. You own features end to end -- from making tasteful UI/UX decisions to the backend plumbing that makes them real. Everyone has direct influence over product direction. The bar is high: the product has to feel polished, fast, and obviously better than the alternatives, on every surface. ## Example projects include... * Rethinking **email, calendar, and contacts as AI-native experiences** -- autonomous triage, drafts in your voice, 100% automated scheduling, an auto-built relationship graph * Building the **suggestion engine** -- tasks and workflow suggestions to inspire users on what to automate next * Designing the **workflow builder** -- making it trivial for anyone to build, share, and install automations * Building **team and shared workflow surfaces** -- one person builds, the whole team benefits * Building across **web, desktop, mobile** -- meeting users everywhere they work * Rethinking **approvals, notifications, and the home screen** -- the everyday surfaces that make or break trust in an agent ## You might thrive in this role if you... * Are a generalist by choice -- comfortable moving between frontend, backend, and infrastructure as the problem demands. * Are excited about owning surface area end to end in an ambiguous, fast-moving environment -- not just executing within a defined spec. * Have strong product taste and can hold the whole experience in your head -- from the pixel to the prompt to the database schema. You care about how it feels, not just whether it works. * Have tuned your AI-native coding workflow that makes you dramatically faster and more effective. * Have experience with LLM-powered products, agentic UX, or any product where non-determinism is a first-class design constraint. * Have shipped product at a high-growth startup through an inflection point -- you were there when the product was being defined, not maintained. We want to hear your concrete shipping stories. * Care about trajectory over tenure. We're less interested in years of experience than how fast you got here and what you built along the way. * Are excited about working in-person, five days a week. We believe it matters at this stage. ## Location 5 days per week in person in either SF or NYC. ## Apply [Apply on Town]() Canonical job page: