5-7 years of experience in product growth and operations within a tech environment.
Proven track record of translating user research into actionable product improvements.
Expertise in funnel optimization, A/B testing, and cohort analysis.
Strong analytical skills in growth economics, including LTV and CAC.
Experience collaborating with Data Science and Engineering on growth initiatives.
Ability to adapt strategies for diverse international markets.
Experience with self-serve funnels and in-product monetization strategies.
Responsibilities
Collaborate with product, engineering, and design teams to enhance user experiences.
Analyze funnel performance and identify areas for optimization.
Automate research and prototyping workflows to improve efficiency.
Connect marketing insights to product journeys for better acquisition.
Lead a rigorous experimentation program to drive user engagement and conversion.
Develop an international growth roadmap focusing on user onboarding and monetization.
Work with Data Science to refine targeting models and evaluate their effectiveness.
Benefits
Opportunity to work in a fast-paced, innovative tech environment.
Collaborative culture with cross-functional teams.
Potential for international travel for project collaboration.
Access to AI-native tools for enhanced productivity.
Focus on user-centric product development and growth.
Full Job Description
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 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.
We're looking for someone with:
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, then 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 interpreting incremental impact. A track record of turning experiment results into sustained product improvements.
The 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, LTV, CAC, and payback; 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 choosing useful signals, evaluating model quality, and testing the impact of targeted interventions.
Ideally, experience scaling and continuously optimizing growth initiatives within Engineering and Data Science pods, from shared prioritization and implementation through experimentation and rollout.
Experience adapting products or growth programs across markets, with sound judgment about language, local behavior, business needs, and what should remain consistent globally.
Experience optimizing self-serve funnels and in-product upsell, cross-sell, or expansion journeys, or strong evidence of applying comparable growth expertise to a new customer segment/goal
The ability to influence central and regional teams, work independently through ambiguity, and carry an initiative from diagnosis through execution and evaluation.
Workplace & Location
San Francisco or New York City based.
Travel as needed for key cross-functional sprints and regional collaboration.
About OpenAI
OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
