VP, Innovation Engineering

LABUR is partnering with a client to identify a VP, Innovation Engineering who will lead a small, senior build team on a rapid launch cadence, shipping new AI-driven B2B capabilities to production in weeks rather than quarters. This player-coach role reports to the CTO and collaborates closely with product management and the executive team to convert high-value ideas into working software at real scale. The ideal candidate lives in the code, in the models, and in the data — driving technical direction, architecture decisions, and shipping cadence for new applications built on production data. Responsibilities 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 Qualifications 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