Product Growth at OpenAI · LumiJobs

Responsibilities

We’re looking for a hands-on Product Growth generalist with an international focus to help people get lasting value from ChatGPT across markets, use cases and product experiences. You’ll partner with international and central teams to understand user needs, identify growth opportunities and turn them into measurable improvements across acquisition, activation, engagement, retention and monetization.
You’ll combine strong analytics and experimentation with product intuition, design judgment and a deep understanding of users and local markets. You’ll use AI-native automation and agentic tools to accelerate research, analysis, prototyping and execution. This role requires systems thinking and the ability to move across diverse experiences, improving both individual funnels and end-to-end workflows as products, user behavior and market needs evolve.
You’ll be responsible for:
Partner closely with central SMB/Business teams to prioritize opportunities across markets, with clear hypotheses, owners, dependencies, and measurable outcomes.
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.
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 SMB 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 SMB 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.

Product Growth

Responsibilities

Company

OpenAI

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