VP / SVP of Engineering

AI healthcare startup delivering SaaS solutions for Revenue Cycle Management and Clinical Operations, achieving financial break-even in first year.
$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 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 technical architecture for AI systems and data pipelines
  • Leading AI/ML development and deployment
  • Directing data engineering platforms and pipelines
  • Managing DevOps practices and infrastructure
  • Ensuring system security and compliance
  • Cross-functional collaboration and resource management

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 in healthcare technology/AI
  • Deep understanding of AI/ML technologies and data engineering
  • Experience with DevOps practices and infrastructure
  • Strong team leadership and communication skills

The company offers competitive compensation ($250-350K base salary), equity, performance bonus, and comprehensive benefits. They aim to achieve $1B+ valuation within 18 months through continued growth and market expansion.

This is an opportunity to join a rapidly growing AI healthcare company with proven products and established customer base. The role combines technical leadership with strategic business impact in transforming healthcare through AI innovation.

Last updated a day ago

Responsibilities For VP / SVP of Engineering

  • Define and execute technical vision aligned with business objectives
  • Build and mentor high-performing engineering teams
  • Guide design of scalable AI systems and data pipelines
  • Lead AI/ML development and deployment
  • Direct data engineering platforms
  • Champion DevOps practices and infrastructure automation
  • Ensure system security and compliance
  • Manage engineering resources and budgets

Requirements For VP / SVP of Engineering

Python
Kubernetes
  • 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 with DevOps practices and infrastructure
  • Strong team leadership and communication skills
  • Located in Seattle Metro Region
  • Ability to work hybrid (3 days onsite in Bellevue)

Benefits For VP / SVP of Engineering

Medical Insurance
Equity
  • Comprehensive benefits package
  • Health insurance
  • Paid time off
  • Equity participation
  • Annual performance bonus

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