Product Growth

at OpenAI
USD 239,000-325,000 per year
MIDDLE
✅ Hybrid
✅ Relocation

Tech Stack

A/B Testing @ 3 AI ChatGPT Customer Acquisition @ 5 Data Science @ 3 Experimentation @ 3 Marketing @ 3

Details

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. The International Growth team works with regional leaders to identify user needs and product gaps, translate country priorities into product roadmaps and growth plans, and partner with engineering, research, design, data science, marketing, finance, policy, and partnerships to test and ship improvements.

The role combines product strategy, experimentation, hands-on growth operations, product intuition, design judgment, analytics, and AI-native automation. The successful candidate will improve acquisition, activation, engagement, retention, and monetization across markets and use cases.

Responsibilities

  • Partner with product, engineering, and design to turn insights into intuitive experiences and prototypes that improve 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 appropriate quality checks and human judgment.
  • Connect acquisition and marketing insights to product journeys and partner with regional marketers and channel specialists on tests that improve qualified acquisition and activation.
  • Own experimentation across onboarding, activation, repeat usage, re-engagement, paid conversion, and expansion, including hypotheses, instrumentation, A/B tests, holdouts, readouts, staged rollouts, success metrics, and guardrails.
  • Build and execute an international growth roadmap covering in-product upsell, cross-sell, targeting, onboarding, activation, adoption, expansion, and monetization.
  • 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 measure incremental activation, conversion, or expansion impact.
  • Own measurement across activation, retention, paid conversion, upsell, cross-sell, and revenue, separating incremental impact from market mix, seasonality, and cannibalization.
  • Run an operating cadence with regional and central partners, surfacing experimentation results, trade-offs, dependencies, and decisions.
  • Build reusable growth primitives such as segmentation, lifecycle journeys, referral and expansion triggers, and experimentation tooling.

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 and 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 incremental impact.
  • 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, lifetime value, customer acquisition cost, and payback.
  • Practical experience applying classifiers and propensity models to growth problems with Data Science and Engineering, including selecting useful signals, evaluating model quality, and testing targeted interventions.
  • Experience scaling and continuously optimizing growth initiatives within Engineering and Data Science pods.
  • Experience adapting products or growth programs across markets, considering language, local behavior, business needs, and global consistency.
  • Experience optimizing self-serve funnels and in-product upsell, cross-sell, or expansion journeys, or comparable growth experience in a new customer segment or goal.
  • Ability to influence central and regional teams, work independently through ambiguity, and carry initiatives from diagnosis through execution and evaluation.

Workplace And Location

  • Based in San Francisco or New York City.
  • Hybrid workplace.
  • Travel as needed for key cross-functional sprints and regional collaboration.

Benefits

  • Equity, performance-related bonuses for eligible employees, and comprehensive benefits.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for health, dependent care, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, caregiver, sick, and safe leave.
  • Paid time off and company holidays.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional benefits may include charitable donation matching and wellness stipends.

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