Growth Product Manager

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, which leads to patchy coverage and inconsistent quality. We took a different path by aggregating 20+ data providers into a single waterfall system that automatically tests each source until we find the best possible contact info. The result is the highest coverage on the market and better data quality. As we grew, we expanded our vision to become the trusted B2B data source powering every workflow and every team. That led us beyond core enrichment: Personal Email helps recruiters find candidates’ personal email addresses. Reverse Email Lookup reveals who’s behind any email address, person, and company, so you can qualify and route inbound leads instantly. List Builder helps you find who to contact next. CRM Integrations bring high‑quality data directly into your CRM, keeping your source of truth clean, fresh, and reliable. 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 have not 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: two engineers (front and back) fully focused on growth initiatives, with access to a product designer when needed. We plan to double our engineering team and dedicate 30 % of engineering bandwidth to growth product, so the squad (and the growth PM team) will scale with impact. How You’ll Work With Your Squad You write the specs and wireframes, but you don’t work in a silo. You involve engineers early in the process to explore technical solutions together. We create a culture where engineers are responsible for making sure what they ship is on‑spec and bug‑free. Your job is to set the pace: growth moves faster than core product, with a higher tempo of experimentation. You also know how to make trade‑offs. Sometimes experimenting means accepting more technical debt. We expect you to give your squad permission to cut corners when it makes sense, and refactor later. Month 1 to 3 We have a backlog of high‑conviction bets we haven’t shipped yet. Your first weeks will be about getting those live, learning the product, and building context. After that You own your roadmap. You’ll decide what’s worth testing based on data, user research, and your judgment. A typical week Analyzing signup‑to‑activation funnels in PostHog, setting up a test on the upgrade flow, reviewing churn reasons in support tickets, shipping an in‑app nudge via Intercom, running a user interview to dig into why some features have not the expected retention. 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 but aren’t. Own in‑app messaging and email sequences to drive feature adoption. Challenge our current activation metric if needed; 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 a 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 (critical for our bottom‑up motion). Who You Are Must have: Funnel optimization experience. You’ve worked on optimizing metrics with an iterative, experiment‑driven approach. B2B or B2C, it 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. You can explain what you’re testing, why, and what you learned, to both technical and non‑technical stakeholders. Experience working closely with engineers. You know how to involve them early, make trade‑offs on technical debt, and keep a squad moving fast. Product sense with a strong growth instinct. You have a real sensitivity to marketing, design, and user psychology. You understand what motivates people, how to nudge them at the right moment, and how copy can drive action. AI Native. You default to AI everywhere you can, whether it’s analyzing unstructured data at scale (like sales call recordings) or writing copy. You’ve fully embraced it, and you genuinely believe anyone who hasn’t is already falling behind. Bonus point: 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 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. Stack Our growth infrastructure is more mature than most Series A companies. Segment has been in place since day one. Event tracking is stable, follows clear naming conventions, and is owned by Product. It feeds data in real time to PostHog (analytics), Intercom (messaging), HubSpot (CRM), and BigQuery (warehouse), so you can trigger actions the moment something happens in‑product. BigQuery serves as our single source of truth. All company data (product usage, billing, CRM, support) is unified and modeled there (using dbt), co‑owned by RevOps & Product. Reverse ETL bridges the gap: we push billing status, enriched fields, and computed attributes back into PostHog and Intercom, so you’re never stuck with incomplete context. PostHog for product analytics, Basedash for overall BI (LLM‑based data analysis), Intercom for in‑app messaging and sequences, HubSpot for CRM, Figma for design, and Linear for project management. The infrastructure is ready. What’s missing is someone singularly focused on pulling the levers. #J-18808-Ljbffr FullEnrich