Product Growth Generalist (AI)

Location: Hybrid; based in San Francisco or New York City, United States. Travel is required as needed for key cross-functional sprints and regional collaboration.

Salary: $239,000–$325,000 base pay annually, plus equity and potentially performance-related bonuses.

Company

OpenAI is an AI research and deployment company developing and deploying general-purpose artificial intelligence products with a focus on safety and human benefit.

What you will do

• Prioritize international SMB growth opportunities with central and regional teams, defining hypotheses, dependencies, owners, and measurable outcomes.
• Diagnose funnel performance through user research, event-level behavior, cohort analysis, competitive insight, and segmentation.
• Connect acquisition and marketing insights to product journeys and improve onboarding, activation, retention, paid conversion, upsell, cross-sell, expansion, and monetization.
• Own experimentation across A/B tests, holdouts, instrumentation, readouts, guardrails, and staged rollouts in partnership with Engineering and Data Science.
• Develop and improve segmentation, classifiers, propensity models, lifecycle journeys, referral and expansion triggers, and reusable experimentation tooling.
• Measure incremental impact across activation, retention, conversion, expansion, and revenue, then decide what to scale, adapt, or stop.

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.
• User-first experience translating research and behavioral data 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 connect audience and acquisition insights to activation, retention, and monetization across product and marketing levers.
• Analytical fluency in funnel modeling and growth economics, including incrementality, LTV, CAC, and payback, with 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 selecting signals, evaluating model quality, and testing targeted interventions.
• Experience adapting products or growth programs across markets while judging what should be localized and what should remain globally consistent.
• Experience optimizing self-serve Business or SMB funnels and in-product upsell, cross-sell, or expansion journeys, or comparable growth expertise applied to a new customer segment.
• Ability to influence central and regional teams, work independently through ambiguity, and carry initiatives from diagnosis through execution and evaluation.

Nice to have

• Experience scaling and continuously optimizing growth initiatives within Engineering and Data Science pods, from shared prioritization and implementation through experimentation and rollout.

Culture & Benefits

• Full-time hybrid work with offices in San Francisco and New York City.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• 401(k) retirement plan with employer match, paid parental and medical/caregiver leave, paid time off, paid holidays, and sick or safe time.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Daily office meals, eligible meal-delivery credits, commuter benefits, relocation support for eligible employees, and additional taxable fringe benefits.
• Travel as needed for cross-functional sprints and regional collaboration.