VP, Innovation Engineering

LABUR; Atlanta (GA); On-site; USD 200,000 - 250,000; Full time

Job summary

LABUR is partnering with a client to identify a VP, Innovation Engineering who will lead a senior build team on a rapid launch cadence. This role ships AI-driven B2B capabilities to production in weeks, reporting to the CTO and collaborating with product management and the executive team to convert ideas into scalable software.

The ideal candidate will be deeply technical, driving architecture decisions and shipping cadence for applications built on production data, while mentoring a small team

Qualifications

• Proven B2B application development experience in a product company.
• Demonstrated rapid iteration with short cycles and real user data.
• Deep fluency with AI models and hands-on tool usage (Claude Code).
• Experience partnering with product leadership and executives to align stakeholders while shipping fast.
• Led small, senior engineering teams while remaining hands-on.
• Healthcare tech experience incl. HIPAA, revenue cycle apps, EMR integration.
• Multi-tenant SaaS experience in regulated environments.

Responsibilities

• Lead a small, senior engineering team on a two-week launch cadence, shipping to real users and iterating.
• Own architecture and technical decisions for new applications, including AI integration in workflows.
• Partner with product and executives to translate high-value ideas into working software.
• Monitor evolving AI tools and adopt strategies that create competitive advantage.
• Move prototypes to production without compromising security, reliability, or compliance.
• Recruit and coach engineers, raising technical standards across the team.
• Demonstrate progress with frequent demos of working software.

Skills

B2B development

Continuous delivery

AI models fluency

Stakeholder alignment

Hands-on leadership

HIPAA experience

SaaS familiarity

Multi-tenant SaaS

Tools

Claude Code

Job description

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Overview

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

Compensation

200,000-250,000/yr - Dependent on fit and experience