You will own the end-to-end vision, roadmap, and monetization for the Conversations product group, including the Inbox and Copilot product lines. You will also lead, hire, and manage a team of product managers while maintaining a hands-on approach to product strategy and execution.
Manage a portfolio of 130–150 accounts by driving renewals, expansions, and product adoption through strategic engagement. Act as an internal advocate for customers while forecasting revenue and collaborating with cross-functional teams to improve product alignment.
The Director of Performance Marketing will own the strategy for paid, lifecycle, and conversion channels to drive signups and revenue. They will build the business case for new channel investments and partner across departments to ensure paid spend aligns with pipeline outcomes.
The Director of Product Marketing will own the product marketing strategy, positioning, and go-to-market narrative for Help Scout's platform. They will lead the product marketing function, manage team members, and enable cross-functional teams to effectively communicate product value.
The VP of Marketing will lead the Brand & Content, Performance Marketing, and Product Marketing teams to drive growth and execute the company's go-to-market strategy. They will be accountable for marketing revenue targets and KPIs while shaping the company's strategic narrative in an AI-native world.
Own the growth roadmap focusing on signup, onboarding, and trial-to-paid conversion while scaling expansion for AI product lines. Establish experimentation frameworks and growth playbooks to embed growth thinking across the entire organization.
Develop and scale the next generation of large-scale search and reporting services and associated infrastructure. Build streaming data reports pipelines and improve search relevancy, indexing, and cost control for high-throughput systems.
Build and ship end-to-end intelligence features with a strong focus on frontend craft and smooth user experiences. Collaborate with product and design teams to translate loosely defined specs into production-ready AI features while owning the outcome metrics.
Develop and ship customer-facing AI features across the full stack, focusing on LLM-backed flows and polished user interfaces. Own the entire development lifecycle, including building evaluations, guardrails, and monitoring to ensure production readiness.
Develop and ship customer-facing AI features across the full stack, focusing on LLM-backed flows and polished user interfaces. Own the entire development lifecycle from problem definition and metric tracking to production monitoring and reliability.
