Data-driven decision-making (defining metrics, reading trends, turning insights into actions)
Experiment design and execution (hypotheses, A/B tests, clean measurement, learning quickly)
Product-led growth strategy (growing through onboarding, product value, sharing, and self-serve upgrades)
Monetization strategy (pricing, packaging, trials/freemium, upgrade experiences)
Customer journey optimization (activation → retention → expansion) and funnel improvement
Cross-functional leadership (aligning Product, Engineering, Data, Marketing, Sales)
Analytical tooling literacy (dashboards, event tracking, cohort analysis; not necessarily hands-on coding)
Strong communication and narrative (explaining tradeoffs, building stakeholder trust, driving decisions)
User research and qualitative insight (interviews, feedback analysis, support-ticket themes)
Commercial judgment (unit economics, payback, margin, LTV/CAC thinking)