---
title: 'Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Success at OpenAI'
canonical: 'https://feeny.ai/job/applied-data-science-insights-leader-gtm-intelligence-solutions-and-technical-7m5ychdef68e'
type: 'job'
last_seen: '2026-09-10'
---

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

- **Company:** [OpenAI](https://feeny.ai/companies/openai)
- **Location:** San Francisco, CA
- **Compensation:** $441k–$515k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/openai/93f558c1-c944-4ddc-b102-addc9446de3d/application

**Skills:** SQL, Python, Statistical modeling, Causal inference, Machine learning, Customer segmentation, Churn modeling, Health modeling, Recommendation systems, Propensity score modeling, Uplift modeling

> Lead the GTM Intelligence and Technical Success data science function, building AI/ML-powered models to drive customer adoption, retention, and expansion. Responsible for defining metrics, developing predictive systems, and mentoring a team of data scientists to support Go-to-Market strategies.

## Job description

## About the Team

The GTM Data Science team partners with Go-to-Market, Technical Success, Product, Engineering, RevOps, and Strategic Finance to build the shared intelligence layer for OpenAI's B2B business. The team turns product usage, customer behavior, revenue, field activity, and customer feedback into rigorous insight products that help leaders and field teams understand where customers are succeeding, where adoption is blocked, and what actions will accelerate durable growth. We are building systems that make customer intelligence proactive: surfacing risk, expansion potential, product gaps, and repeatable playbooks before they show up as escalations or missed opportunities.

## About the Role

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. You will build AI/ML-powered intelligence products that connect account health, product usage, customer lifecycle, support tier, qualitative sentiment, commercial context, and field actions into a practical operating system for GTM and Technical Success. This role will build the data science foundation for Technical Success: defining the metrics, models, operating insights, and decision systems that help the team scale customer adoption and expansion with rigor. You will also be expected to build and lead a small mighty team over time: setting direction, hiring and developing talent, creating operating cadences, and holding a high bar for technical rigor and business impact. You will lead the development of models, metrics, and decision systems that recommend what GTM and Technical Success teams should do next, explain why, and measure whether those interventions worked. Your work will help customers move from pilots to production, deepen usage across products, identify high-value use cases, reduce churn risk, and create a faster feedback loop from the field back to Product and Research. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

The Vision

- 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.

In This Role, You Will:

- 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.
- Create team operating rhythms that balance urgent field needs with durable roadmap execution, quality review, and stakeholder alignment.
- 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 that identify account opportunities and risks, recommend playbooks, and explain the evidence behind each recommendation.
- Partner with Technical Success leaders to enumerate playbooks and actions, instrument action tracking, and measure outcomes over time.
- Develop customer segmentation and benchmarking frameworks across products, industries, personas, support tiers, and lifecycle stages.
- Create scalable insight products that are embedded into field workflows rather than living only as one-off analyses or static dashboards.
- Translate field feedback and account-level patterns into clear product and GTM recommendations for senior leadership.
- Collaborate with Data Engineering and RevOps to improve the data foundations connecting product telemetry, Salesforce, support signals, revenue, and qualitative feedback.
- Maintain a high bar for analytical rigor, including causal evaluation, validation, data quality, and clear caveats.

You Might Thrive in This Role If You Have:

- 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.
- Product intuition and business judgment for turning ambiguous questions into repeatable models, tools, metrics, and operating cadences.
- Excellent communication skills, including the ability to distill complex analysis into clear recommendations for technical partners, field teams, and executives.
- Comfort partnering across technical and non-technical teams, including Product, Engineering, Technical Success, Sales, RevOps, Finance, and Data Engineering.
- A track record of operating autonomously in fast-moving environments and raising the quality of how teams use data to make decisions.
- Experience leading teams or serving as a technical lead for multi-person data science initiatives, including mentoring, roadmap-setting, and quality review.
- Ability to hire, develop, and retain strong data science talent while creating a collaborative, high-accountability team culture.
- An advanced degree in a quantitative field, or equivalent practical experience.

## About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf). Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241). [OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf) At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

## About OpenAI

## Company Overview
- **One-liner**: OpenAI is an AI research and deployment company with a mission to ensure that artificial general intelligence (AGI) benefits all of humanity.
- **Entity Type**: Private – structured as a nonprofit parent (OpenAI Foundation) governing a for-profit public benefit corporation (OpenAI Group). The company has confidentially submitted a draft S-1 registration statement to the SEC, signaling a potential future IPO.
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2015
- **Founders**: Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, Wojciech Zaremba, and others

## Core Business
- **Primary industry**: Artificial intelligence research and deployment
- **Target customers**: B2B (enterprises via API and platform), B2C (ChatGPT users), and developers (API, open-source models)
- **Mission**: To ensure that artificial general intelligence (AGI) – AI systems that are generally smarter than humans – benefits all of humanity.

## Products & Services
- **[ChatGPT](https://openai.com/chatgpt)**: Conversational AI assistant available via web and mobile, used by consumers and integrated into enterprise workflows.
- **[GPT-4 API](https://openai.com/product)**: Large language model accessed via API for developers to build AI-powered applications (text generation, summarization, code assistance, etc.).
- **[DALL-E](https://openai.com/dall-e-3)**: Image generation model that creates images from natural language descriptions.
- **[Whisper](https://openai.com/research/whisper)**: Open-source speech recognition system.
- **[OpenAI Agents](https://openai.com/)**: Emerging product category focused on autonomous AI agents that can perform tasks on behalf of users (announced June 2026).

## Market Standing
- **Valuation**: Not publicly disclosed in the provided sources. Widely reported in the press at ~$300 billion as of early 2026 (post-funding round), but this figure is not confirmed by OpenAI’s official materials.
- **Key Metric**: Total funding exceeds $13 billion from Microsoft and other investors. The company has also confidentially filed a draft S-1 with the SEC (see [openai.com](https://openai.com/) – “Confidential submission of draft S-1”).
- **Notable Investors/Partners**: Microsoft (strategic partner and largest investor), with additional participation from Thrive Capital, Sequoia Capital, Andreessen Horowitz, and others.
- **Growth Signals**: Active hiring with 721 open roles posted; expansion into agent-based products; confidential IPO filing; continued deployment of frontier models.

## Competitive Advantages
- **First-mover & brand recognition**: ChatGPT became the fastest-growing consumer app in history, establishing OpenAI as the household name in generative AI.
- **Research leadership**: Consistently publishes cutting-edge research (GPT-4, DALL-E 3, Whisper, etc.) and attracts top AI talent.
- **Compute & infrastructure**: Exclusive partnership with Microsoft provides massive cloud computing resources (Azure) for training and inference.
- **Unique governance structure**: The nonprofit parent ensures mission alignment (AGI benefiting humanity) while the for-profit arm can raise capital and scale products.

## Strategic Focus
- **Safe AGI development**: Continued emphasis on safety research, alignment, and responsible deployment (e.g., safety systems, model provenance).
- **Enterprise expansion**: Growing ChatGPT Enterprise and API offerings for businesses.
- **Agentic AI**: Building autonomous agents that can “transform work” (announced June 2026).
- **IPO preparation**: Confidential S-1 filing indicates intent to go public, which will require increased financial transparency and governance maturity.

## Why Work Here
- **Culture & values**: OpenAI’s stated values include “Humanity first,” “Act with humility,” “Feel the AGI,” and “Ship joy.” Operating principles emphasize agency, creativity, rapid iteration, and intense focus.
- **Benefits**: Competitive health insurance, mental healthcare support, 24-week paid birth-parent leave (plus 20 weeks for other parents), generous PTO, annual learning & development stipend, daily meals (breakfast, lunch, dinner), and a domestic conference budget.
- **Work environment**: Hybrid/office-based (San Francisco headquarters). The company offers a residency program for researchers and engineers transitioning into AI.
- **Impact**: Employees work directly on frontier AI models that shape the industry and society. The mission-driven nature attracts talent passionate about AGI’s societal implications.

## Sources
1. [OpenAI About Page](https://openai.com/about/)
2. [OpenAI Careers Page](https://openai.com/careers/)
3. [OpenAI Job Search](https://openai.com/careers/search)
4. [OpenAI Homepage](https://openai.com/)

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