AI Product Engineer

Town.com, Inc. • San Francisco, CA

1d • Onsite

About The Position

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.

Requirements

• Generalist comfortable moving between frontend, backend, and infrastructure.
• Excited about owning surface area end to end in an ambiguous, fast-moving environment.
• Strong product taste and ability to hold the whole experience in mind (pixel to prompt to database schema).
• Tuned AI-native coding workflow for speed and effectiveness.
• Experience with LLM-powered products, agentic UX, or products with non-determinism as a design constraint.
• Shipped product at a high-growth startup through an inflection point.
• Care about trajectory over tenure; focus on speed of learning and impact.
• Excited about working in-person, five days a week.

Responsibilities

• Design and ship experiences that make the AI assistant legible and loved.
• Own features end to end, from UI/UX decisions to backend implementation.
• Influence product direction.
• Rethink email, calendar, and contacts as AI-native experiences.
• Build the suggestion engine for tasks and workflow automation.
• Design the workflow builder for creating, sharing, and installing automations.
• Build team and shared workflow surfaces.
• Build across web, desktop, and mobile platforms.
• Rethink approvals, notifications, and the home screen to build trust in an agent.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed