Define and execute an engineering vision and strategy aligned to the company’s overall strategy and a modern product operating model.
Partner with Product, UX, PMO and Data leaders to ensure roadmaps, architectures, and team structures support value delivery and fast learning cycles.
Establish engineering principles that focus on simplicity, quality, reliability, and high leverage.
Lead and inspire a multi-disciplinary engineering organization across U.S., nearshore, and offshore teams.
Build high-performance culture through talent development, coaching, succession planning, and clear standards of excellence.
Drive consistent, predictable delivery of high-quality software across all PatientPoint modalities.
Guide PatientPoint’s architectural evolution toward modular, scalable platforms that support content delivery, device orchestration, personalization, analytics, and API-based integration.
Oversee engineering for PatientPoint’s nationwide device footprint, ensuring stability, performance, and remote supportability at scale.
Collaborate closely with Product and UX to ensure empowered, customer-centric teams.

12+ years of engineering experience, including 7+ years leading multi-team engineering organizations.
Proven success operating in modern product-centric organizations with empowered, cross-functional teams.
Deep understanding of engineering first principles, including scalability, simplicity, modularity, maintainability, and reliability.
Experience building and scaling high-performing engineering teams across multiple locations (U.S., nearshore, offshore).
Strong background with cloud-native architectures, distributed systems, CI/CD, automation, and DevOps best practices.
Deep understanding of the use, application, and limits of AI coding agents, assistants, and how to effectively drive adoption within teams.
Demonstrated ability to raise engineering standards, improve delivery velocity, and reduce technical risk.
Exceptional communication skills and ability to collaborate with senior leadership.
Demonstrated high-agency leadership with bias-to-action: proactively identifying and solving problems across professional contexts.
Active practitioner of AI-augmented work practices with ability to model and coach these behaviors across the organization.

VP, Engineering

Key skills