Applied AI Lead, Rev Ops

Responsibilities

• Build, ship, and iterate AI-powered workflows that take real work off reps' plates, using prompt engineering, agentic workflows, and orchestration to cut manual effort and surface faster, more reliable insights
• Partner with R&D to productize what works
• Own and evolve core revenue workflows across the provider and health systems GTM teams, making rep motions scalable and AI-first
• Lead major Rev Ops initiatives end to end, from problem definition and data analysis through implementation and rollout, including evaluating and deploying AI-native tools like Attention, Clay, Glean, and Claude
• Design from the front line by shadowing reps, then partner cross-functionally for business and frontline rep priorities
• Lead with data, using quantitative analysis to evaluate process performance, surface bottlenecks, set clear measures of success, and recommend ROI-driven improvements

Requirements

• 5+ years of experience in Revenue Operations, Business Operations, Strategy, or similar roles within high-growth, operationally complex environments
• AI fluent: build, ship, and iterate revenue workflows using AI tools; comfortable with prompt engineering, agentic workflows, and AI orchestration; understand APIs and how data moves between tools
• Bonus: comfortable in Python for cases no-code can't handle
• Pull and interrogate data independently (SQL fluency, or the ability to get there fast with AI)
• Strong track record of leading large, cross-functional projects that involve engineering, systems, data, and process change
• Build workflows based on shadowing reps; prioritize highest-leverage problems, set clear measures of success, and improve continuously based on adoption and feedback
• Excellent communicator who can simplify complexity, create alignment, and move teams toward action
• Thrive in ambiguity, take ownership, and are energized by building and scaling new capabilities

Nice-to-Haves

• Python proficiency for advanced workflow automation