OpenAI
Data Scientist, B2B Demand Generation, Growth & Measurement
Hybrid San Francisco role leading measurement and experimentation to show which B2B marketing spend drives pipeline and revenue, with AI-driven decision tooling.
Captured October 2026Still open as of Oct 11, 2026 ↗
The role
This individual contributor sits within B2B marketing and works alongside demand generation, growth, sales operations, and finance. The position centers on building a full-funnel view of how marketing turns prospects into qualified opportunities and closed revenue. The person will also shape how the team scales its most efficient investments.
What you would do
- Set core, leading, and guardrail metrics spanning engagement, lead and opportunity volume, pipeline influence, conversion, velocity, and incremental ARR
- Run causal experiments and lift studies adapted to lengthy enterprise sales timelines
- Break down channel, audience, creative, and account-level results to pinpoint what moves qualified demand
- Improve tracking setup, campaign naming conventions, CRM hygiene, and lead-to-account matching with cross-functional teams
- Create LLM- and agent-based workflows that summarize performance and surface growth opportunities for marketers
What they asked for
- Ten or more years in a quantitative field such as data science, growth analytics, or decision science, including B2B marketing exposure
- Advanced experimentation and causal inference skills, especially for multi-touch journeys with limited visibility
- Solid SQL and Python skills for combining marketing, web, product, CRM, and revenue datasets
- Track record of turning analysis into decisions on budget, channel mix, forecasting, and go-to-market strategy
- Working knowledge of B2B funnel stages, account-based buying, and attribution tradeoffs
- Clear communicator who influences executives, peers, and engineers with transparent reasoning
- Hands-on use of LLMs and agents to speed up analysis and experimentation
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