Lead end-to-end Customer Insights product: define the canonical usage data layer, build customer-facing analytics and audit surfaces, and deliver AI-native insights. Partner with engineering, data, design, Sales, and Customer Success to drive renewal and expansion narratives, ensure enterprise readiness (permissions, compliance), and translate ambiguous business questions into clear product experiences and APIs.

Lead the end-to-end self-serve growth funnel—acquisition through conversion—owning strategy, roadmap, experiments, and metrics. Improve activation, retention, sharing, and free-to-paid conversion while partnering across Product, Engineering, Design, Data, Marketing, and Sales and applying AI-native approaches.

Design and build core backend systems for an agent platform: orchestration, durable execution, memory, tool integration, observability, and evaluation. Create scalable services/APIs, develop retrieval and long-term memory solutions, monitor and improve agent behavior, and help drive technical direction and team growth for AI-driven collaboration features.