# Product Growth at OpenAI

OpenAI is hiring a Product Growth for a remote role open to applicants in United States. It pays $239k-$325k a year and Level rates it Uses AI ●●○○; you can [apply on OpenAI](https://jobsbylevel.com/go/cc3daff8-b7c5-4a67-ab26-34d7ca23687f?utm_medium=ai-agent).

AI Level 2, AI centrality 47 out of 100. Remote (San Francisco).

## Details

- Company: [OpenAI](https://jobsbylevel.com/companies/openai)
- AI level: AI Level 2 (score 47 out of 100)
- Location: Remote (San Francisco)
- Salary: $239k-$325k
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/cc3daff8-b7c5-4a67-ab26-34d7ca23687f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=product-growth-at-openai-ac8131

## Prepare for this job

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## Description

About the Team 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, creative development, and AI-powered workflows. The International Growth team works with regional leaders in priority markets to identify the user needs and product gaps that matter most for adoption, usage, and monetization. We turn country priorities into product roadmaps and growth plans, then partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements. We combine product strategy, product experimentation, with hands-on growth operations. We account for local behavior, competition, and product experience while building shared capabilities such as segmentation, lifecycle journeys, and experimentation systems. We measure what ships, adapt it to the market, and scale approaches that work across markets. About the Role 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 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

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