The opportunity
OpenAI’s GTM Data Science team helps shape how our products are adopted, monetized, and scaled across organizations. We work at the intersection of Product, Go-to-Market, Finance, Research, and Data, turning product usage, customer evidence, and market signals into decisions that grow durable enterprise value.
What you'll do
Define a trusted measurement framework for knowledge-worker adoption,: including identity, eligible populations, activation, retained usage, penetration, workflow depth, feature adoption, and monetization.
Map the knowledge-worker journey from initial exposure through first: successful task, repeated workflows, multi-surface usage, and durable adoption.
Identify which personas, functions, use cases, product capabilities, and: account conditions are associated with deep and retained usage.
Design and evaluate experiments and quasi-experiments across onboarding,: enablement, workflow templates, connectors, pilots, customer deployment support, and product launches.
Combine behavioral data with customer and field evidence, then translate the: findings into crisp recommendations for Product, GTM, Finance, and executive audiences.
Operationalize successful work through durable datasets, scorecards,: recurring business narratives, and decision cadences while partnering with Analytics Engineering and product teams to improve instrumentation and data quality.
What they're looking for
- Significant experience in data science, product analytics, growth analytics,: economics, statistics, or a related quantitative field.
- Strong hands-on ability in SQL and Python, including experience working with: large and imperfect behavioral datasets.
- Experience defining activation, retention, engagement, funnel, or: product-adoption metrics, with strong knowledge of experimentation, causal inference, cohort analysis, and segmentation.
- Ability to translate ambiguous business questions into structured analyses,: independently define the analytical direction, and bring senior stakeholders along through clear tradeoff framing.
- Strong written and verbal communication skills, including a demonstrated: ability to influence senior technical and non-technical stakeholders.
- Experience with enterprise SaaS, collaboration products, AI products,: developer tools, productivity software, or multi-product platforms.
- Experience connecting product usage to revenue, expansion, customer health,: enablement, or other GTM interventions.
- Experience with identity resolution, cross-surface journeys, telemetry: design, evolving product taxonomies, or qualitative customer evidence.
