Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success
OpenAIVisit OpenAI website
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
Recently funded151 current maintainers88 active leads20 new active leads99 lead step-downs12 early lead departures
San Francisco, United States
Projects
About OpenAI
OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will shape data science products that measure and improve customer adoption across B2B products. You will build predictive, causal, segmentation, and next-best-action systems; define metrics and playbook analytics; partner with technical and business stakeholders; and lead a growing data science function.
Requirements
- 10+ years of experience in applied data science, analytics, machine learning, quantitative strategy, or a related field
- Deep SQL and Python skills
- 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
- Experience building production or workflow-embedded data products for GTM, sales, customer success, technical success, growth, or enterprise SaaS
- Experience leading teams or serving as a technical lead for multi-person data science initiatives
- Ability to hire, develop, and retain data science talent
- Advanced degree in a quantitative field or equivalent practical experience
Responsibilities
- Define and lead the roadmap for GTM Intelligence and Technical Success insight products
- Build core metrics, customer health definitions, intervention measurement, and reusable playbook analytics
- Develop propensity score models for product and feature adoption
- Build, mentor, and lead data scientists and analytics partners
- Set technical standards for modeling, metrics, experimentation, documentation, and production readiness
- Build predictive and causal models for customer health, expansion propensity, churn risk, adoption depth, use-case fit, and intervention effectiveness
- Design next-best-action systems for account opportunities and risks
- Develop customer segmentation and benchmarking frameworks
- Create scalable insight products embedded in field workflows
- Collaborate on data foundations connecting telemetry, Salesforce, support signals, revenue, and feedback
Benefits
- Medical, dental, and vision insurance for employees and families with employer HSA contributions
- Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
- 401(k) retirement plan with employer match
- Paid parental, medical, and caregiver leave
- Flexible PTO or up to 15 days annually for non-exempt employees
- 13+ paid company holidays, paid office closures, and paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily office meals and eligible meal-delivery credits
- Relocation support for eligible employees
- Charitable donation matching and wellness stipends
