Top Tech Jobs & Startup Jobs

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.

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.

Own Town’s native macOS client end to end, including architecture, features, OS integrations, performance, privacy, and release infrastructure. Build a fast, lightweight, always-on menu-bar application using Swift, SwiftUI, and AppKit. Work with backend and AI teams to integrate the agent natively, while managing signing, notarization, sandboxing, crash reporting, and auto-updates. The role is fully in-person in San Francisco and requires strong ownership of a polished Mac app experience.

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 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.

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 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.

Own inbound technical support for Town: handle hard escalations, investigate logs and APIs, engage customers live, use Town and AI tooling to resolve issues, write docs and playbooks, surface product feedback, and drive down recurring contact rates while representing the brand with empathy and quality.

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.