Data Scientist, ChatGPT for Work
About the Team OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive.
What this role actually needs.
Data Scientist, ChatGPT for Work at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive.
Day-to-day expectations
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- Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.
- Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.
- Define and operationalize “time-to-value” and collaboration loop metrics, and connect them to business outcomes.
- Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.
- Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
- Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.
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Why people would want this job
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- Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.
- Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.
- Define and operationalize “time-to-value” and collaboration loop metrics, and connect them to business outcomes.
- Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.
- Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.
- Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist, chatgpt for work is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $293K - $515K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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