VP, Innovation Engineering

• Lead a small, senior engineering team on a two-week launch cadence - define the thinnest viable slice, ship to real users, measure results, and iterate
• Own architecture and technical decisions for new applications, including build-vs-buy trade-offs and determining where AI belongs in each workflow
• Partner directly with product management and executives to translate ambiguous, high-value ideas into working software
• Monitor a rapidly evolving AI toolset and make informed adoption decisions that create real competitive advantage
• Move new capabilities from prototype to production without compromising security, reliability, or compliance
• Recruit, coach, and continuously raise the technical bar across the team
• Make progress visible through frequent demos of working software rather than status decks

Product Management, Coaching, Team Building, Business-to-Business (B2B), Cadence, Artificial Intelligence (AI), Team Lead/Manager, SLICE (Simulation Language with Integrated Circuit Emphasis), Prototyping, Product Demonstration, * Proven B2B application development experience at a product company, building data-centric systems where data model, quality, and volume are central challenges

• Demonstrated rapid iteration methodology - short cycles, continuous delivery, tight feedback loops, and a track record of shipping quickly with real users and production-scale data
• Deep, current fluency with AI models and their capabilities, including hands-on daily use of agentic coding tools (Claude Code preferred) as a core part of the build process
• Direct experience partnering with product management and executive stakeholders, with the judgment to maintain alignment across many stakeholders while shipping fast
• Track record of leading and developing small, senior engineering teams while remaining deeply hands-on technically
• Healthcare technology experience preferred, including HIPAA compliance, patient data handling, revenue cycle applications (eligibility, benefits, patient responsibility, payments, collections), and EMR/practice management system integration patterns
• Multi-tenant SaaS experience serving specialty medical practices, health systems, or FQHCs preferred, ideally including introduction of AI capabilities in a regulated environment with measurable outcomes