VP / SVP of Engineering

Early-stage startup revolutionizing healthcare through AI-powered SaaS solutions for Revenue Cycle Management and Clinical Operations.
$250,000 - $350,000
Machine Learning
Principal Software Engineer
Hybrid
11 - 50 Employees
10+ years of experience
AI · Healthcare

Description For VP / SVP of Engineering

Curative AI, Inc. is an innovative early-stage startup transforming healthcare through AI-powered SaaS solutions. Having achieved financial break-even in their first year with $30M+ projected revenues for 2025, they're now entering rapid growth phase.

The VP/SVP of Engineering will lead teams across Data, Software, DevOps, AI, and IT Engineering, ensuring delivery of cutting-edge AI healthcare solutions. This role combines strategic leadership with hands-on technical oversight of architecture, AI/ML development, and data engineering.

Key responsibilities include:

  • Defining and executing technical vision aligned with business objectives
  • Building and mentoring high-performing engineering teams
  • Overseeing AI/ML model development and deployment
  • Directing data platform creation and DevOps practices
  • Managing IT operations and security
  • Collaborating across departments and representing engineering capabilities

Requirements:

  • Seattle Metro Region location with 3+ days onsite in Bellevue
  • Master's degree in Computer Science or related field
  • 10+ years engineering leadership experience in healthcare technology/AI
  • Deep expertise in AI/ML, data engineering, and modern software practices
  • Track record scaling engineering organizations
  • Strong communication and business acumen

Compensation includes $250-350K base salary, performance bonus, equity package, and comprehensive benefits. This is an opportunity to lead technical innovation at a rapidly growing AI healthcare company positioned for significant market impact.

Last updated a day ago

Responsibilities For VP / SVP of Engineering

  • Define and execute technical vision and roadmap
  • Build and mentor high-performing engineering teams
  • Guide design of scalable AI systems architecture
  • Lead AI/ML model development and deployment
  • Direct data platform creation
  • Implement DevOps practices and infrastructure
  • Manage IT operations and security
  • Partner across organization
  • Optimize engineering resources and budgets
  • Represent company's engineering capabilities

Requirements For VP / SVP of Engineering

  • Master's degree in Computer Science or related technical field
  • 10+ years engineering leadership experience in healthcare technology/AI
  • Deep understanding of AI/ML technologies and data engineering
  • Experience building large-scale data systems
  • Located in Seattle Metro Region
  • Ability to work hybrid minimum 3 days onsite in Bellevue
  • Outstanding communication skills
  • Experience scaling engineering organizations

Benefits For VP / SVP of Engineering

Medical Insurance
  • Comprehensive health insurance
  • Paid time off
  • Performance bonus
  • Equity package

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