Jobs at The Town Company

First commercial hire to convert product-led inbound demand into enterprise revenue: run full deal cycles, own onboarding and expansion, create GTM playbooks, and define scalable commercial motions while working in-person in SF.

Own and ship the Town iOS app end-to-end: architecture, performance, reliability, and UX. Build native mobile experiences that let users hand work to the assistant, optimize latency and security, and collaborate with product, design, and backend to deliver polished features.

Own full-cycle technical recruiting for engineering and some product/design roles: source, interview, close candidates; design candidate experience and hiring systems; leverage Town product to improve sourcing and coordination; partner closely with founders and leaders to hire staff-level engineers.

Lead full-cycle go-to-market recruiting for sales, marketing, growth, partnerships, customer success, and business ops. Own candidate experience, source and close senior commercial hires, build hiring systems and infrastructure, and leverage Towns AI product to scale recruiting.

Lead core product experiences for an AI-powered assistant. Prototype, spec, and ship AI-driven workflows; define roadmaps, partner with engineering/growth/bizops, run customer research, and use data to improve activation and product intelligence. Drive operational product processes and launch high-impact features that simplify complex systems for non-technical users.

Build and own backend systems powering an AI assistant: LLM orchestration, workflow execution, multi-provider LLM infra, identity and knowledge layers, agent networks, and real-time personalization. Work end-to-end on greenfield infrastructure, scale reliability and cost-sensitive AI workloads, and define architecture and service ownership.

Build and ship end-to-end AI-native product features across frontend, backend, and infrastructure. Integrate LLMs and agentic workflows with email, calendar, docs, and tools, design polished UX, and develop suggestion engines and workflow builders for web, desktop, and mobile. Influence product direction as an early, in-office hire.

Lead product positioning, messaging, and go-to-market for Town's AI assistant. Own launches, naming, announcement and in-product moments; build customer stories, demos, and content; drive adoption and onboarding; track competitors; and synthesize user feedback to inform roadmap and messaging.

Design end-to-end product surfaces for an AI-native productivity product: define problems, create high-fidelity designs, prototype and ship front-end code, run quick user research, and evolve the design system while collaborating tightly with founders and engineers.

Build and own backend systems for an AI assistant: LLM orchestration, workflow execution, identity and knowledge layers, agent networks, and production-grade reliability for cost-sensitive, real-time AI workloads. Influence architecture end-to-end in a greenfield, high-growth environment.

Build end-to-end product features for an AI-native assistant: design polished UI/UX, implement backend plumbing, and ship LLM-powered experiences across web, desktop, and mobile. Work on suggestion engines, workflow builders, team-shared automation surfaces, and trusted agent interactions. Be a foundational full‑stack hire influencing product direction and delivering a fast, delightful experience.

Lead onboarding, enablement, and training from zero to drive adoption and expansion. Build role-specific playbooks, run trainings and workshops, measure outcomes, partner with Revenue/Marketing/Product, and act as the voice of the customer to shape product and scale enablement across accounts.

Own editorial strategy and calendar, invent and test new content formats, measure content as a performance channel tied to outcomes (signups, activation), extend brand voice across surfaces, and turn customer and sales insights into persuasive content.

Build and iterate product features that drive product-led growth: optimize invite flows, conversion funnels, dashboards, team formation, and enterprise readiness (SSO/admin controls). Ship experiments, instrument metrics, and work cross-functionally with GTM and business teams to increase invites, conversions, and monetization.