Own the product roadmap and delivery for Help Scout's Intelligence pillar (Topics, Sentiment detection, CX Score, contact/company profiles). Coordinate cross-pillar integrations, partner with data and gateway teams, define conversion and monetization for the Understand tier, and spend time with customers and GTM. Reports to the Chief Product Officer. Role open to US-based applicants only.

Senior product role responsible for vision, roadmap, and execution of Help Scout's autonomous AI Agent pillar (unified Agent backend, Agent Drafts, AI Answers, Agentic Actions, Docs automation, workflow amplification). Requires experience shipping AI-powered products, strong monetization and pricing instincts, technical fluency to partner with engineers, customer research, and excellent writing. Reports to the Chief Product Officer. No visa sponsorship.

The VP of Product at Help Scout defines and drives product strategy across revenue-generating product lines, leads and develops the product management function, partners closely with engineering and senior leadership, and is accountable for product-related business outcomes (pricing, retention, margin). The role emphasizes customer research, quantitative fluency (data warehouse, Hex, Mixpanel), AI-enabled product work, and strong written and presentation skills. Help Scout is fully remote and does not sponsor visas.

Build end-to-end AI-powered features (LLM-backed flows, RAG/retrieval, embeddings, agentic tool-calling) with a frontend center of gravity (TypeScript/React) while owning backend and production concerns (monitoring, reliability, performance). Work is fully remote; hiring guidance states no visa sponsorship and preference for candidates authorized to work from their home country.

Help Scout seeks a Senior Product Analyst (3–5 years) to partner with Product and Data teams, own Mixpanel end-to-end, build product analytics in Hex, analyze activation/engagement/retention, and design and evaluate experiments. The role is fully remote and expects strong SQL, Mixpanel experience, experimentation skills, and close collaboration with PMs, designers, and data engineers.