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# VP, Innovation Engineering

- **Company:** LABUR, LLC
- **Location:** Atlanta, GA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Continuous Delivery, Machine Learning, Practice Management Software, Cadence Virtuoso, Software Engineering, Claude Code, Agentic-AI, Build Process
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/vp-innovation-engineering-atlanta-ga--8f5c1ab2-5af9-4676-be08-1eff2a75d1a4

## About the Role

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

## Description

* 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