Data Scientist, B2B

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.

In this role, you will:

• 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

What We’re Looking For

Must Have:

• 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 Have:

• 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

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area
  

Impact
You will help define:

• How organizations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.