OpenAI

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Hands-on technical leader building AI/ML-powered intelligence products to measure and improve OpenAI’s customer adoption across B2B products. Shaping metrics, models, and decision systems; leading a small team; delivering next-best-action playbooks and scalable insights that connect product telemetry, customer health, lifecycle, and revenue to drive adoption and expansion.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders.
•Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics.
•Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus.
•Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales.
•Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work.

Pay and Benefits

Salary: USD 441,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•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.

Experience:Enterprise SaaSGTMB2BData science

Education:Master's

Languages:English

Tech Stack:SQLPythonMachine learningPropensity score modelingCausal inferenceData productsProduction workflows

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

OpenAI

1 month ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define and lead the roadmap for GTM Intelligence and Technical Success insight products in partnership with cross-functional leaders.
•Build the data science foundation for Technical Success, including core metrics, customer health definitions, intervention measurement, and reusable playbook analytics.
•Develop propensity score models for model and product feature adoption, helping Technical Success and GTM identify which customers are most likely to adopt, which interventions can move adoption, and where support should focus.
•Build, mentor, and lead a small team of data scientists and cross-functional analytics partners as the GTM Intelligence function scales.
•Set technical standards for modeling, metrics, experimentation, documentation, and production readiness across the team's work.

Pay and Benefits

Salary: USD 441,000 - 515,000 annually

Equity and Bonus:Equity

Perks:Relocation

Key Requirements

•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.

Experience:Enterprise SaaSGTMB2BData science

Education:Master's

Languages:English

Tech Stack:SQLPythonMachine learningPropensity score modelingCausal inferenceData productsProduction workflows

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor