Growth Product Manager

# Growth Product Manager at FullEnrich ## About FullEnrich We started with a simple goal: build the best product to find the emails and phone numbers businesses need to reach the right people. Most enrichment tools rely on a single data source. That means patchy coverage and inconsistent quality. We took a different path. FullEnrich aggregates 20+ data providers into a single waterfall system, automatically testing each source until we find the best possible contact info. The result is the highest coverage on the market, with better data quality. Today, FullEnrich is profitable and trusted by 3,000+ customers. Our PLG motion brings in around 2,000 new signups every week. It's an incredible playground for someone who wants to build, test, iterate, and push growth at scale. Now we're looking for someone to own that playground. ## Why now? We've built a product people love and talk about. Word of mouth has been our biggest growth lever so far, but we've barely scratched the surface of what's possible with intentional growth work. We haven't optimised our cancellation flow, no referral system, and plenty of low-hanging fruit waiting to be picked. We're hiring our first Growth Product Manager to turn organic traction into a scalable growth engine. ## The role You'll own the metrics that matter most: **Activation, Conversion, Retention, and Referral**. You'll report to the CPO (based in San Francisco) and work with a dedicated growth squad: 2 engineers (front and back) fully focused on growth initiatives, with access to a product designer when needed. We're planning to double our engineering team and dedicate 30% of engineering bandwidth to growth product. ## What you'll work on **Activation** - Audit and optimize the onboarding flow, feature discoverability, and time-to-value - Analyze gaps between user personas (recruiters, sales, RevOps, marketers) and the features they should be using - Own in-app messaging and email sequences to drive feature adoption - Challenge our current activation metric; run qualitative research to uncover what "activated" really means for different segments **Conversion** - Run experiments on billing flows, pricing presentation, and upgrade triggers - Define the right moments to nudge users toward purchase (e.g., after a successful enrichment) - Partner with RevOps to define product signals for PQLs and ensure the product feeds the sales pipeline effectively **Retention** - Optimize the cancellation flow - Analyze churn reasons and make recommendations, even when the fix sits with another team - Be the voice of retention metrics across the org **Referral** - Design and launch a referral system leveraging our credit-based model - Find ways to maximize the lifetime value of each signup through virality - Enable users to invite colleagues and multiply seats within organizations ## Who you are **Must have:** - **Funnel optimization experience.** You've worked on optimizing metrics with an iterative, experiment-driven approach. B2B or B2C, doesn't matter; what matters is you know how to move numbers. - **Builder mindset.** You default to "what's the simplest version I can test?" before building anything at scale. - **Data fluency.** You're comfortable with SQL (even if you use AI to write most of it), experiment design, and statistical significance. - **Clear communication.** Explain what you're testing, why, and what you learned, to both technical and non-technical stakeholders. - **Experience working closely with engineers.** Involve them early, make trade-offs on technical debt, keep a squad moving fast. - **Product sense with a strong growth instinct.** Sensitivity to marketing, design, and user psychology. - **AI Native.** You default to AI everywhere you can. **Bonus:** - Experience in a B2B PLG company - Familiarity with sales/marketing tech stacks (CRMs, enrichment tools, outbound platforms) - Experience working with RevOps on lead scoring and PQL definitions - You've built a referral or invite system before ## Stack Our growth infrastructure is more mature than most Series A companies: - **Segment** since day one. Event tracking is stable, follows clear naming conventions, feeds PostHog, Intercom, HubSpot, and BigQuery in real time. - **BigQuery** as single source of truth. All data unified and modeled with dbt. - **Reverse ETL** pushes billing status, enriched fields, and computed attributes back into PostHog and Intercom. - **PostHog** (analytics), **Basedash** (LLM-based BI), **Intercom** (in-app + sequences), **HubSpot** (CRM), **Figma**, **Linear**. The infrastructure is ready. What's missing is someone singularly focused on pulling the levers. ## What success looks like At 3 months, you can point to specific, measurable improvements you've driven. You've built the muscle for high-velocity experimentation. The team trusts your judgment on what's worth testing next. And you've made our growth engine more predictable. --- **[Apply on FullEnrich's Notion form →](https://fullenrich.notion.site/Growth-Product-Manager-2ca95d87321e80998315da51bf98476e)**