Responsibilities

• Own the end-to-end self-serve onboarding experience: in-app flows, lifecycle emails, and product surface messaging that take a new signup from first session to deeply engaged workspace.
• Build trigger-based systems that respond to user activity in real time. A user who just created their first list gets different guidance than one who just invited their team. Every touchpoint is personalized based on what the user has actually done and what would be most useful to them next.
• Use AI to generate contextual content for users at the right moment: workspace templates, suggested workflows, feature education, and use-case-specific guidance, all driven by what they're actually doing in ClickUp.
• Master the timing, placement, and frequency of in-app and email interventions. Run rapid experiments to learn what drives deeper usage and what causes friction or fatigue.
• Own how free workspaces convert to paid plans. That means paywall design and copy, pricing page optimization, promo strategy, and understanding exactly which moments and behaviors make a workspace ready to buy.
• Design and run conversion experiments at 3-5x the velocity of a traditional marketer because you've built AI systems that handle the volume, not because you grind harder.
• Know which activation behaviors predict conversion and architect the onboarding experience to produce more of them.
• You are the person who gets users to go deep with Brain² and get real value from it as quickly as possible after signup.
• Build the systems that surface Brain² at the right moment in a user's journey: when they're doing something manually that AI could do, when they're stuck, when they'd benefit from AI-generated content or automation.
• Own the metrics that prove users are getting value from AI-enabled workspaces and use those metrics to feed back into the onboarding and lifecycle systems.

Requirements

• 7-10+ years in product/growth marketing with deep ownership of post-signup user journeys: onboarding, activation, conversion, and retention in self-serve SaaS
• Built lifecycle and in-app messaging systems from scratch inside a complex, multi-surface product (not a single-flow app) — can walk through how they navigated product depth without overwhelming new users
• Deep experience with conversion optimization: paywalls, pricing, promo strategy, and the experimentation that makes them work
• Data fluent: cohort analysis, activation metrics, conversion funnels, and behavioral segmentation
• Already operates at 3-5x output through AI-powered systems