Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success

Job summary

Responsibilities

As the Applied Data Science & Insights Lead for GTM Intelligence Solutions and Technical Success, you will be a hands-on technical leader responsible for shaping how OpenAI measures, understands, and improves customer adoption across our B2B products.

• Build a unified GTM intelligence layer that connects product telemetry, customer health, revenue, support tier, lifecycle stage, field activity, and qualitative feedback.
• Turn adoption breadth, usage depth, sentiment, and customer maturity signals into next-best-action systems for Technical Success and field teams.
• Create a measurement foundation for Technical Success playbooks, including whether recommended actions were taken and whether they improved customer outcomes.
• Help OpenAI understand customer happy paths: the use cases, product behaviors, and interventions that lead to durable adoption, expansion, and retention.
• Productize insights into workflows used by Technical Success, Sales, RevOps, Finance, Product, and executive leadership.

What they're looking for

• 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a closely related field.
• Deep technical skill in SQL and Python, with the ability to move from raw tables to production-quality models, metrics, and decision systems.
• Strong applied experience with statistical modeling, causal inference, machine learning, customer segmentation, churn or health modeling, or recommendation systems.
• Experience with propensity score modeling, uplift modeling, or related causal methods for adoption, activation, retention, or product feature usage.
• Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS teams.

Tech stack

• SQL
• Python