Enterprise Product Growth Manager

Responsibilities

• Develop and own Perplexity's end-to-end enterprise lifecycle user states — outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal — with direct accountability for pipeline created, pipeline progressed, and revenue retained.
• Build and operate AI-native lifecycle tooling — agents that segment audiences from the warehouse, personalize copy at the account and persona level, choose channel and send time, QA before send, and read out results — replacing manual work in our stack wherever it appears.
• Design and run multi-channel nurture across email, in-product, notifications, Slack, and emerging surfaces, tailored to enterprise personas with content tied to where each account sits in the funnel.
• Partner with Demand Generation and Sales on top-of-funnel outbound: turn cold and intent-signaled accounts into engaged conversations, and instrument the handoffs that move them to opportunity.
• Own post-sale lifecycle: admin onboarding, end-user activation, feature adoption, at-risk intervention, and expansion plays that grow seats and ARR inside existing accounts.
• Run every program as an experiment. Define the hypothesis, the control, the primary metric, and the readout. Kill what doesn't work, double down on what does.

Requirements

• 7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of moving activation, retention, and revenue metrics — including enterprise pipeline.
• Experience owning growth end-to-end across the full user journey — from first touch and activation through expansion, monetization, and win-back. You've built growth loops and lifecycle programs that turn signups into engaged users and engaged users into revenue.
• Deep understanding of audience segmentation. You think natively in personas, behavioral triggers, lifecycle stages, and product signals, and you know how to translate that into journeys, experiments, and in-product experiences that actually convert.
• Great taste. You know how to craft copy and experiences that resonate across email, push, and in-product surfaces — for end users, admins, and executives alike — and you can tell the difference between a polished experience and a generic one at a glance.
• Experience and deep interest in building homegrown AI-driven growth engines — programmatic personalization, agentic workflows, and rapid experimentation platforms to scale yourself.
• Builder mentality toward tooling. You don't just operate the modern growth stack (Omni, HubSpot, Loops, Intercom, or equivalents) — you extend it. You've built your own internal tools, scripts, and automated systems to close gaps off-the-shelf software can't, and you'd rather automate a workflow than run it manually twice.
• Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst.
• Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Urgency is a default setting, not a mode you switch into.

Qualifications

• Compensation Range: $200K - $250K