Shape the future of AI-powered work by joining a team dedicated to building intelligent systems that transform how organizations operate. As a Data Scientist, you’ll play a central role in understanding how enterprises interact with AI agents and automation tools, delivering insights that directly influence product direction and real-world impact.
What You’ll Do
- Collaborate with product, engineering, and research teams to guide the development of AI-based enterprise solutions
- Develop measurement frameworks to assess the effectiveness of AI agents and automated workflows
- Analyze patterns in enterprise usage to uncover opportunities for improving product value and user experience
- Measure adoption, retention, and business outcomes to inform strategic priorities
- Design and evaluate experiments that enhance AI system performance and user productivity
- Explore how AI coworkers integrate into real-world operations and influence organizational efficiency
What We’re Looking For
- Proven experience in product analytics or data science, particularly in fast-moving, early-stage environments
- A deep interest in how AI changes work, with the ability to translate behavioral data into product insights
- Strong analytical capabilities in experimentation, metrics design, and user behavior analysis
- A builder’s mindset—someone who actively shapes products, not just interprets data
- Familiarity with B2B SaaS, enterprise platforms, or developer-facing tools is a plus
- Background in AI/ML systems, LLMs, or agent architectures is highly valued
- Systems-level thinking to understand how complex tools function at scale
Our Culture
We’re an AI-native team that builds with the tools we create. We value independent thinkers who thrive in ambiguity, embrace ethical development, and are driven to make AI beneficial for everyone. You’ll join a mission-oriented group focused on safety, inclusion, and long-term impact.
Work Environment
This role is based in San Francisco, Los Angeles County, or elsewhere in California. We support local collaboration with no fully remote option at this time.
Commitment to Fairness and Inclusion
We are an equal opportunity employer and welcome applicants from all backgrounds. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, sexual orientation, age, disability, veteran status, or genetic information. We comply with local fair chance hiring laws and provide reasonable accommodations for applicants with disabilities.
