Growth Product Manager (B2C) — Activation & Retention

You will lead the growth workstream focused on the post-signup journey: onboarding, first-value, habit formation, and long‑term engagement. You’ll run a tight experiment program (A/B, holdouts, sequential rollouts), synthesize Userback feedback for qualitative depth, and partner with Engineering, Design, and Data to ship improvements that move the metrics.

• Own the activation & retention strategy across the B2C funnel (signup → onboarding → first value → recurring value → winback).
• Run high‑velocity experiments: define hypotheses, success metrics, guardrails; design variants; coordinate builds; analyze results; document learnings.
• Instrument the journey with clear event taxonomy; ensure dashboards/funnels/cohorts are trustworthy and actionable.
• Translate Userback insights into action: triage, tag, and synthesize qualitative feedback; validate with quant; turn into clear problem statements and specs.
• Optimize onboarding & habit loops: progressive disclosure, checklists, templates, nudges, education, and lifecycle messaging.
• Reduce churn: identify drop‑off drivers; ship reactive and preventive retention tactics (e.g., in‑app prompts, save‑offers, reactivation flows).
• Partner cross‑functionally with Eng/Design/Data/Marketing/Support to deliver experiments and durable features end‑to‑end.
• Communicate openly: weekly growth reviews, experiment pipeline, post‑launch readouts, and roadmap updates.

• Activation: +X% D1/D7 activation; +X% onboarding completion; reduced time‑to‑first‑value.
• Retention: +X% W1/W4/M3 retention; −X% churn; +X% reactivation of dormant users.
• Experimentation: ≥X experiments/month with robust analysis and decisioning within ≤X days; shared learnings library.
• Quality of insight: 100% of priority features backed by a combination of Userback qualitative synthesis and quant evidence.

• 4–8+ years PM experience with growth/PLG in a B2C product; a track record moving activation and retention via in‑product changes.
• Strong analytical toolkit (funnels, cohorts, retention curves, survivorship, power & sample size basics); comfortable with SQL/Excel.
• Hands‑on with modern analytics/experimentation stacks (e.g., Amplitude/Mixpanel/GA4 or equivalent).
• Experience operationalizing qualitative feedback (Userback or similar) into problem statements, hypotheses, and specs.
• Excellent product sense and UX instincts; crisp communication; bias to action and iteration.

Nice to have

• Mobile app growth (iOS/Android) and app store conversion/retention tactics.
• Pricing/packaging, trials/freemium, and paywall/plan upgrade experience.
• Personalization/targeting (rules‑based or ML‑assisted) for lifecycle and in‑product nudges.

• Experiment operating model: hypothesis → design → build/flag → QA → launch → analyze → decide → document → scale/retire.
• Evidence standards: pre‑registered success metrics & guardrails; minimal detectable effect; power checks; counter‑metrics for UX/engagement.
• Backlog hygiene: ideas scored by impact × confidence × effort; weekly grooming; monthly prioritization tied to KPI gaps.
• Userback loop: tagging taxonomy, monthly synthesis reports, and “Voice of Customer” snapshots in growth reviews.