VP / SVP of Engineering

AI healthcare startup delivering 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 · Enterprise SaaS

Description For VP / SVP of Engineering

Curative AI, Inc. is an innovative early-stage startup revolutionizing healthcare through AI-powered SaaS solutions. They've achieved financial break-even in their first year with $30M+ projected revenues for 2025. The VP/SVP of Engineering role will lead teams across Data, Software, DevOps, AI, and IT Engineering.

Key responsibilities include:

  • Defining and executing technical vision aligned with business objectives
  • Building and mentoring high-performing engineering teams
  • Overseeing AI/ML development and deployment
  • Managing data engineering and DevOps practices
  • Ensuring system security and compliance
  • Collaborating across departments to deliver solutions

Requirements:

  • Located in Seattle Metro Region (hybrid work, 3 days onsite in Bellevue)
  • Master's degree in Computer Science or related field
  • 10+ years engineering leadership experience
  • Deep understanding of AI/ML technologies and modern software development
  • Experience with large-scale data systems and DevOps practices
  • Strong communication and leadership skills

The position offers competitive compensation ($250-350K base salary), performance bonus, equity, 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 9 hours 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 architectures for AI systems
  • Lead AI/ML model development and deployment
  • Direct creation of data platforms and pipelines
  • Oversee DevOps practices and cloud strategy
  • Ensure system security and compliance
  • Partner across organization to deliver solutions

Requirements For VP / SVP of Engineering

Python
Kubernetes
  • Master's degree or higher in Computer Science, Engineering, or related technical field
  • 10+ years of experience in engineering leadership roles
  • Deep understanding of modern software development practices, AI/ML technologies
  • Experience building and managing large-scale data systems
  • Located in Seattle Metro Region
  • Outstanding communication skills
  • Understanding of business metrics and market dynamics

Benefits For VP / SVP of Engineering

401k
Dental Insurance
Medical Insurance
Vision Insurance
Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life and AD&D insurance
  • 401(k)
  • Paid time off and holidays
  • Equity package

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