AI Automation Senior Lead

Join our team as an AI Automation Senior Lead, where you will embed within Commercial teams to conduct deep discovery and root-cause analysis, design and build AI solutions, and drive adoption of these solutions. You will also facilitate hackathons, establish a working relationship with Engineering, and maintain a prioritized roadmap. This role requires 6-12+ years of experience in Revenue Operations, Solutions Engineering, Software Engineering, or Product Management, with a strong understanding of AI and automation tools.

• Embed within Commercial teams to run deep discovery and root-cause analysis, mapping how work gets done and identifying friction points.
• Design and build AI solutions that address the root cause of issues, owning the solutions end to end from build to deployment.
• Lift Commercial-wide AI confidence and fluency through horizontal enablement, facilitating hackathons, and establishing a working relationship with Engineering.
• Tool fluency across the AI and automation stack: 1-3 years experience with Clay; Microsoft Copilot; n8n, Microsoft Power Automate or similar; Databricks or similar; Salesforce; and Excel or Sheets
• Process design instinct: you redesign the workflow so the tool fits how teams actually work, designing the tool and the process together rather than bolting one onto the other
• 6-12+ years of experience in Revenue Operations, Solutions Engineering, Software Engineering, or Product Management, with a track record of teaching yourself AI and applying it at a high-growth company
• Strong discovery and root-cause skills: deeply curious and structured in how you understand current state and identify problem areas ripe for countermeasures
• Expert with Claude Code, with hands-on experience using AI tools to build, prototype, and deploy real, shipped solutions into hosted environments, with demonstrated adoption and satisfaction from real users (not side projects)
• Thrives in a high-growth, chaotic environment: tough, gritty, and able to get things done under intensity and competing priorities
• Training, enablement, and change management experience, with a personal drive to own adoption rather than hand it off (selling the solution in, documentation, office hours, re-training, and the change management around it)
• An experimentation and rapid-iteration mindset: tinkers with new tools, picks things up quickly, fails fast, learns, and iterates
• Previous experience in digital health point solutions or the broader healthcare industry