Data Scientist, B2B
About the Team Our B2B product organization is building the systems that will accelerate and automate how companies operate using AI coworkers.Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and
What this role actually needs.
About the Team Our B2B product organization is building the systems that will accelerate and automate how companies operate using AI coworkers.Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and Responsibilities: - Partner closely with product, engineering, and research teams to shape AI-powered enterprise products - Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption - Analyze how organizations use AI tools and identify opportunities to improve product experience and business impact - Drive insights around enterprise adoption, retention, and value realization - Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools - Design experiments and evaluations that improve AI system performance and user outcomes Requirements: - Strong product analytics or data science experience - Deep curiosity about AI systems and how they change how work gets done - Ability to work closely with product and engineering teams in 0→1 product environments - Strong analytical skills (experimentation, behavioral analysis, product metrics) - Builder mindset — someone who wants to shape products, not just analyze them - Experience with B2B SaaS or enterprise analytics Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Data Scientist, B2B role.
- Partner closely with product, engineering, and research teams to shape AI-powered enterprise products
- Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption
- Analyze how organizations use AI tools and identify opportunities to improve product experience and business impact
- Drive insights around enterprise adoption, retention, and value realization
- Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools
- Design experiments and evaluations that improve AI system performance and user outcomes
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Strong product analytics or data science experience
- Deep curiosity about AI systems and how they change how work gets done
- Ability to work closely with product and engineering teams in 0→1 product environments
- Strong analytical skills (experimentation, behavioral analysis, product metrics)
- Builder mindset — someone who wants to shape products, not just analyze them
- Experience with B2B SaaS or enterprise analytics
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United States tech market
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Compensation read
$293K - $515K is visible before the click, so candidates can compare the role against local market expectations before applying.
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Source: jobs.ashbyhq.com · Source ID: 681f9b48-0ebb-451d-ab79-103b4379db27 · Confidence: 97/100 · Last checked: May 7, 2026
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