Help Scout
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Other • Professional Services • Software
Lead the Intelligence product pillar, owning roadmap and delivery for Topics, Sentiment, CX Score, and profiles. Ship early value, define monetization and conversion, coordinate cross-pillar interfaces, partner with data and gateway teams, engage customers, and work with GTM on messaging for a net-new data product in Help Scout's Understand tier.
Other • Professional Services • Software
Own the vision, roadmap, and execution for Help Scout’s autonomous AI "Agent" pillar (Agent Drafts, AI Answers, Agentic Actions, Docs automation). Lead consolidation onto a single backend, define trust-building UX and outcome-based monetization, partner with engineering, Intelligence and Conversations PMs, GTM and CS, and spend time with customers to drive adoption and product decisions.
Other • Professional Services • Software
Lead a world-class engineering organization at Help Scout, define and execute technical and AI strategies, and ensure cross-functional collaboration to drive product innovation and business success.
Other • Professional Services • Software
Lead a product team to drive business outcomes across revenue products. Define strategy, prioritize bets, manage and coach PMs, use customer insight and data (Hex, Mixpanel, data warehouse) to measure impact, and shape AI usage across product and process.
Other • Professional Services • Software
Build end-to-end, customer-facing AI features with a frontend focus: implement LLM-backed flows (RAG, embeddings, agentic tool-calling), craft fast accessible UIs in TypeScript/React, instrument evaluation/guardrails and production monitoring, stay close to customers, and own outcomes from design through production.
Other • Professional Services • Software
Own Mixpanel and partner closely with Product to turn product-level data into decision-grade insights. Define instrumentation and event taxonomy, build dashboards and notebooks, run cohort and retention analyses, design and analyze A/B tests, and collaborate with data engineers to model product event data. Document metrics, maintain a living glossary, and translate findings into actionable product recommendations.
