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

The role

You will be a hands-on technical leader responsible for shaping how OpenAI measures and improves customer adoption across B2B products. You will build AI/ML-powered intelligence products and lead a small team to scale customer adoption and expansion.

What you will do

• Define and lead the roadmap for GTM Intelligence and Technical Success insight products.
• Build the data science foundation for Technical Success including core metrics and customer health definitions.
• Develop propensity score models for model and product feature adoption.
• Build, mentor, and lead a small team of data scientists and cross-functional analytics partners.
• Set technical standards for modeling, metrics, experimentation, documentation, and production readiness.
• Create team operating rhythms for roadmap execution and stakeholder alignment.
• Build predictive and causal models for customer health, expansion propensity, churn risk, and adoption depth.
• Design next-best-action systems to identify account opportunities and risks.
• Partner with Technical Success leaders to enumerate playbooks and measure outcomes.
• Develop customer segmentation and benchmarking frameworks.

Required qualifications

• 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.
• 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.
• Product intuition and business judgment.
• Excellent communication skills.
• Comfort partnering across technical and non-technical teams.
• A track record of operating autonomously in fast-moving environments.
• Experience leading teams or serving as a technical lead for multi-person data science initiatives.
• Ability to hire, develop, and retain strong data science talent.
• An advanced degree in a quantitative field, or equivalent practical experience.

Benefits

• Relocation assistance to new employees

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They seek to safely deploy AI to the world through their products.