Data Scientist, Cloud Distribution & Growth

Data Science - San Francisco and Seattle

About the Team

Cloud service providers give developers a way to use OpenAI models in the environments where they already build and run software. Our team works with Go-to-Market (GTM), Product, Engineering, and Finance to understand which customers we can reach through these providers and what helps them grow from a first API call to a production workload.

About the Role

In your first few months, you’ll identify a customer segment or workload where OpenAI can grow, recommend an investment to GTM, Product, and Engineering, and define how we’ll know whether it brought new usage to OpenAI. Your first priority will be to explain what drives usage and revenue across providers.

You’ll use that understanding to help GTM decide which customers and workloads to invest in and to build forecasts the team can plan against.

A customer might sign a substantial cloud commitment and send very little traffic. You can sit down with the account team, trace the customer’s first requests, and work out whether they need help launching, access to a different model, or more capacity. When you see the same opportunity across customers, your work can change where OpenAI invests.

In This Role, You Will:

• Build a reliable view of the business from provider usage reports, billing records, and API logs. Show how new workloads, expansion, changes in price, and shifts in model mix contribute to growth.
• Estimate how much demand cloud distribution adds to OpenAI. Trace customer activity across channels to distinguish new use cases from traffic that moved from the direct API.
• Identify where customers are ready to scale. Combine what account teams hear with evidence on request failures, latency, and model availability. Work with Product and Engineering on a change and measure what happens to usage.
• Shape growth plans with GTM and Finance. Estimate what existing workloads and upcoming launches can contribute by year end, test the assumptions that matter most, and recommend where to focus with each provider.
• Own the consumption forecast. Compare forecasts with actual usage over the same period, explain the biggest misses, and use what you learn to improve the next forecast.

You Might Thrive in This Role If You:

• Like questions that take you from a conversation with an account team to a query about a single API request. You’re curious about why a customer’s behavior differs from what the numbers first suggest.
• Are comfortable making a recommendation while some questions are still open. You can tell a sales leader where you’d invest and explain to an engineer what evidence would change your mind.

Qualifications

• Experience independently leading data science work on a product, growth, or commercial question that changed a business decision.
• Strong SQL and Python skills. You can join incomplete datasets, choose the right unit of analysis, and validate an aggregate result against individual customers or workloads.
• Experience using cohorts, experiments, or observational comparisons to assess what drove a change. You can explain how customer selection affects the conclusion and evaluate a forecast against a simple baseline.

Preferred Qualifications

• Experience with API platforms, cloud marketplaces, enterprise GTM, or a usage-based business.
• Experience connecting service reliability or capacity to customer adoption, or using demand forecasts to guide a commercial or infrastructure investment.

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 the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

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.

Compensation

$347K – $445K + Offers Equity

The base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.