Product Growth

Responsibilities

• Partner with product, eng, and design to turn insights into intuitive experiences and prototypes, improving how users discover value, complete tasks and return.
• Diagnose and optimize funnel performance using user research, event-level behavior, cohort analysis, and competitive insight. Identify drop-offs and high-value segments, distinguish local needs from shared product friction, and prioritize interventions.
• Build and use agentic workflows to automate research, analysis, prototyping and experiment operations, with clear quality checks and human judgment where needed.
• Connect acquisition and marketing insights to product journeys; partner with regional marketers and channel specialists on tests that improve qualified acquisition and activation.
• Own a rigorous experimentation program across onboarding, activation, repeat usage, re-engagement, paid conversion, and expansion. Partner with Engineering and Data Science on hypotheses, instrumentation, A/B tests and holdouts, readouts, and staged rollouts, with clear success metrics and guardrails.
• Build and execute a focused international growth roadmap, including in-product upsell, cross-sell, targeting, onboarding, activation/adoption, expansion, and monetization related experiences. Identify the use cases, onboarding barriers, product entry points, and upgrade moments that can improve adoption and sustained customer value.
• Partner with Data Science and Engineering to develop, deploy, and improve classifiers and propensity models for segmentation, targeting, and personalized in-product journeys. Evaluate predictive quality and use controlled experiments to establish incremental activation, conversion, or expansion impact.
• Own measurement across activation, retention, paid conversion, upsell, cross-sell, and revenue. Separate incremental impact from market mix, seasonality, or cannibalization, and use the results to decide what to scale, adapt, or stop.
• Run a clear operating cadence with regional and central partners, surfacing international experimentation results, trade-offs, dependencies, and decisions without requiring formal ownership of every team involved.
• Build repeatable growth primitives, such as segmentation, lifecycle journeys, referral and expansion triggers, and experimentation tooling, that can be reused across segments and markets. Use AI-native workflows to accelerate research, prototyping, and iteration.

Requirements

• Experience across product growth, growth strategy and operations, data science, experimentation, and growth design systems, with hands-on ownership of product experiments and measurable outcomes in a fast-moving technology company.
• A user-first track record of translating research and behavior into product priorities, then working with technical teams to ship improvements.
• Deep expertise in funnel optimization and experimentation, including instrumentation, A/B testing, statistical power, holdouts, segmentation, cohort analysis, and interpreting incremental impact. A track record of turning experiment results into sustained product improvements.
• The ability to work across product and marketing levers, connecting audience and acquisition insights to activation, retention, and monetization.
• Analytical fluency in funnel modeling and growth economics, including incrementality, LTV, CAC, and payback; the ability to move between strategic prioritization and hands-on execution.
• Practical experience applying classifiers and propensity models to growth problems with Data Science and Engineering, including choosing useful signals, evaluating model quality, and testing the impact of targeted interventions.
• Ideally, experience scaling and continuously optimizing growth initiatives within Engineering and Data Science pods, from shared prioritization and implementation through experimentation and rollout.
• Experience adapting products or growth programs across markets, with sound judgment about language, local behavior, business needs, and what should remain consistent globally.
• Experience optimizing self-serve funnels and in-product upsell, cross-sell, or expansion journeys, or strong evidence of applying comparable growth expertise to a new customer segment/goal.
• The ability to influence central and regional teams, work independently through ambiguity, and carry an initiative from diagnosis through execution and evaluation.