AI Automation Senior Lead

Who you are

• 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
• 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)
• 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
• Strong discovery and root-cause skills: deeply curious and structured in how you understand current state and identify problem areas ripe for countermeasures
• 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
• 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

What the job involves

• Embed within Commercial teams to run deep discovery and root-cause analysis: map how work actually gets done, ask probing questions, and identify the highest-leverage friction and manual work worth solving
• Design and build AI solutions that resolve the root cause rather than bolting automation onto a broken process
• Own solutions end to end: build, deploy into hosted environments, roll out, train users, and drive adoption until teams are working measurably better
• Lift Commercial-wide AI confidence and fluency through horizontal enablement: prompt engineering best practices, Cowork setup, and capturing reusable best practices into Lantern’s enterprise-wide AI Hub
• Facilitate hackathons that bring full teams together to generate ideas, experiment, and build working prototypes
• Establish a durable working relationship with Engineering, primarily the GTM Systems team, with an agreed way of collaborating (intake, hand-off, and build ownership) that holds across projects
• Build and maintain a prioritized roadmap that sequences work effectively, delivers on commitments, and is communicated regularly to all impacted Commercial teams

Benefits

• Paid Vacation
• Health Insurance
• Health Savings Account
• Dental Insurance
• Vision Insurance
• Paid Parental Leave
• Short & Long Term Disability
• Life and AD&D Insurance
• Commuter Spending
• Retirement Savings Plan