PLG Growth Manager

1. Trial Lifecycle and Activation

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Define what trial success looks like: set activation milestones, instrument the funnel, and report on conversion performance weekly

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Map the full trial journey from signup through first pipeline to the aha moment and conversion, identifying every point where intent drops

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Build dashboards connecting trial activation to conversion to ARR influence

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Design and run lifecycle communications: onboarding email sequences, in-app nudges, and re-engagement flows tied to behavioral triggers

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Act as the internal voice of the trial user in Product, GTM, and leadership conversations

2. Conversion Rate Optimization

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Synthesize behavioral data (session recordings, funnel drop-off, in-app event data) into structured conversion hypotheses with clear success metrics

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Design and execute Conversion Rate Optimization across onboarding flows, signup pages, and trial touchpoints with documented methodology and learnings

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Partner with Design on landing page variants for high-intent entry points such as use-case pages, competitor comparison pages, and ICP-segment pages. You define the hypothesis and copy; Design executes

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Maintain a rigorous experiment log: hypothesis, variant rationale, statistical methodology, results, and learnings. Every test is a learning asset

3. Product and GTM Partnership

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Surface structured, prioritized insights from trial users into the roadmap process weekly

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Build technically credible trial-stage collateral: setup walkthroughs, migration guides, competitive comparison assets written for data practitioners, not buyers