VP / SVP of Engineering

AI healthcare startup delivering revenue cycle management and clinical operations solutions through AI-powered SaaS technology
$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 deliver value in Revenue Cycle Management (RCM) and Clinical Operations through AI technology, automation, and data insights. The company has achieved financial break-even in their first year with $30M+ projected revenues for 2025.

The VP/SVP of Engineering will lead teams across Data, Software, DevOps, AI, and IT Engineering, ensuring AI-powered healthcare solutions meet real-world needs. Key responsibilities include defining technical vision, building high-performing teams, overseeing architecture, leading AI/ML development, directing data engineering, managing DevOps/infrastructure, and ensuring security compliance.

The ideal candidate should have:

  • Master's degree or higher in Computer Science or related field
  • 10+ years engineering leadership experience in healthcare technology/AI
  • Deep understanding of AI/ML technologies, data engineering, cloud infrastructure
  • Track record implementing DevOps practices and scaling engineering organizations
  • Strong communication skills and ability to connect business strategy to technical implementation

The position offers competitive compensation ($250-350K base salary), performance bonus, equity, and comprehensive benefits. The role requires hybrid work (3+ days onsite) in Bellevue, WA.

This is an opportunity to join an early-stage AI Healthcare company with proven products, established customers, solid revenue, and ambitious growth plans targeting $1B+ valuation within 18 months.

Last updated 9 hours ago

Responsibilities For VP / SVP of Engineering

  • Define and execute technical vision and roadmap
  • Build and lead 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
  • Champion DevOps practices and infrastructure automation
  • Ensure system reliability, security and compliance
  • Partner across organization to deliver solutions
  • Optimize engineering resources and budgets
  • Represent company's engineering capabilities

Requirements For VP / SVP of Engineering

Python
Kubernetes
  • Master's degree or higher in Computer Science, Engineering or related technical field
  • 10+ years engineering leadership experience in healthcare technology/AI
  • Deep understanding of modern software development practices, AI/ML technologies
  • Experience building and managing large-scale data systems
  • Track record implementing DevOps practices
  • Outstanding communication skills
  • Located in Seattle Metro Region
  • Able to work hybrid minimum 3 days onsite in Bellevue

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
  • 401K
  • Paid time off and holidays
  • Equity package

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