Town.com, Inc.

Build and optimize Town’s product-led growth engine, driving virality, conversion, monetization, team expansion, and enterprise upsell. You’ll ship product quickly, run experiments, and use metrics to turn product improvements into revenue growth.

Build Town’s greenfield search, retrieval, and data infrastructure that supplies the right context to its personalized AI assistant. You’ll own hybrid lexical and semantic retrieval, real-time and batch pipelines, indexing, storage, and the foundations of a knowledge graph.

Own the foundational evaluation and agent-quality systems that measure and improve Town’s personalized AI assistant across multi-step workflows. You’ll build evals, golden datasets, labeling loops, model routing, and online measurement in a greenfield environment.

Own Town’s native macOS client end to end, building a fast, deeply integrated desktop assistant in Swift, SwiftUI, and AppKit. You’ll shape the architecture, OS integrations, performance, privacy, and release experience for an always-on menu-bar app.

Own security end to end for Town’s autonomous AI assistant, protecting sensitive user data, agent actions, infrastructure, and integrations. You’ll establish security practices and incident response while partnering closely with engineering in a fast-moving, in-person startup environment.

Own and build Town’s native iOS app end-to-end, creating fast, reliable, and polished experiences for an AI assistant that acts across users’ everyday tools. This founding role is based in San Francisco and works in person five days a week.

Build the foundational backend systems powering Town’s AI assistant, from LLM orchestration and agentic workflows to identity, knowledge, and real-time personalization. This is a greenfield, in-person staff role with broad ownership over architecture and end-to-end service delivery.

Town is hiring an AI Product Engineer to build polished, AI-native experiences across email, calendars, workflows, and connected tools. This foundational, in-person role owns features end to end across frontend, backend, and infrastructure.

AI Product Engineer at Town will build polished, AI-native product experiences across web, desktop, and mobile, owning features from UI/UX through backend implementation. The role is ideal for a product-minded generalist excited to shape an early-stage AI assistant and workflow platform.

Staff Backend Engineer building Town’s AI assistant backend, including LLM orchestration, agentic workflows, personalization, identity, and knowledge systems. This foundational, in-person role offers end-to-end ownership in a greenfield environment.