PatientPoint

The patient engagement platform more providers trust.

VP, Engineering

Full TimeRemoteTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

10 days ago

Salary

$200.4K - $294.9K / year

Bachelor Degree12 yrs expEnglishCloudDistributed Systems

Job Description

• 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.

Job Requirements

  • 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.

Benefits

  • Competitive compensation
  • Flexible time off to recharge
  • Hybrid work options
  • Mental and emotional wellness resources
  • 401K plan
  • Comprehensive range of modernized benefits

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