The opportunity
The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We work across the full funnel, from acquisition and activation to retention and monetization, through product experiments, in-product improvements, performance marketing,…
What you'll do
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.
What they're looking for
- 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.
