AI Research Operations Lead
$120,900–$181,300 year
RemoteUnited States or San Francisco, California, United States
Job Summary
Lead operations for research in a fast-growing AI-enabled professional services company. Design and implement end-to-end operational systems for research workflows—from intake and recruitment to insight synthesis—while owning participant recruitment, panel management, and the research repository/tech stack (including AI-powered tooling). Build scalable processes for budget and resource allocation, define success metrics, and provide leadership with visibility into team health and research velocity. Collaborate closely with research, design leadership, product operations, and GTM teams to operationalize research and maximize impact. Drive cross-functional programs to accelerate the delivery of user-centered AI products and improve institutional memory through standardized processes, templates, and educational documentation. Proactively identify where AI can reduce friction in the research workflow and implement those improvements.
Required Qualifications
- 5+ years in operations, program management, or a similar role supporting design, research, or product teams in a technology environment
- Demonstrated ability to build processes and systems from scratch in fast-moving, ambiguous environments
- Experience early establishment of Research operations at a fast-growing company
- Strong ability to navigate complexity with legal, procurement and EPD + GTM teams for process development
- Strong cross-functional communicator with a track record of partnering effectively with creative, technical, and business stakeholders
- Deep familiarity with research operations, design operations, or how design and UXR teams function at scale
- Bias toward ownership: you take initiative, drive projects to completion, and maintain high standards without constant direction
- Proficiency in project management and collaboration tools (Notion, Dovetail, etc.) with a systems-thinking approach
- Nice to have: Experience with UserInterviews, Sprig, ListenLabs, Lookback, or similar
- Nice to have: B2B or enterprise software research background
- Nice to have: Familiarity with legal workflows or professional services
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