Data Scientist, B2B
About The Position
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 analytics that allow organizations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the center of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge. We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems. This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organizations adopt them, and how we measure their impact on work. You’ll analyze how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.
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
Nice To Haves
- Experience with B2B SaaS or enterprise analytics
- Experience with developer platforms, APIs, or technical products
- Background in AI/ML systems, agent frameworks, or LLM-based products
- Systems thinking around how complex tools and workflows operate at scale
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
- Help define how companies operate with AI coworkers and automated workflows
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
