Backed by Greylock, Insight and Khosla.
About the role
We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field
- Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on
- Experience working on B2B,, GTM or commercial strategy, monetization,, product growth, or similarly complex business problems
- Strong technical fluency with analytical tools such as SQL and Python, or equivalent experience using data to answer open-ended business questions
- Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business
- Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation
More about this role
We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands.
OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design.
This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area.
In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions.
Structure ambiguous B2B and go-to-market questions into clear...
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