VP of Engineering

About Curative AI, Inc.

Curative AI, Inc. is an ambitious innovative early‑stage startup revolutionizing the healthcare industry through cutting‑edge AI‑powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry‑transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break‑even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries.

Headquartered in Bellevue/Seattle, we have built a sizable top‑notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US‑based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence.

Curative AI, Inc. is seeking a highly strategic and execution‑driven Senior/Vice President of Engineering to lead our efforts in cutting‑edge AI software development. As VP/SVP of Engineering, you will be responsible for leading teams of dedicated professionals with engineering expertise in Data, Software, Dev Ops, AI, and IT, and ensuring that our AI‑powered healthcare solutions are built to meet real‑world needs.

You will own and drive our engineering organization – the backbone of our success – with exceptional leadership and transformational technical vision, contributing to establishing Curative AI as a market leader.

• Strategic Leadership:
  Define and execute the technical vision and roadmap aligned with business objectives. Translate company strategy into actionable engineering plans across Data, Software, Dev Ops, AI, and IT Engineering teams.
• Team Leadership and Development:
  Build, mentor, and lead high‑performing engineering teams. Establish a culture of engineering excellence, continuous improvement, and innovation.
• Technical Architecture Oversight:
  Guide the design and evolution of scalable, robust architectures for AI systems, data pipelines, and software platforms. Ensure systems are built for performance, reliability, and security.
• AI and ML Development:
  Lead the development and deployment of sophisticated AI/ML models and applications. Balance research innovation with production‑ready implementation.
• Data Engineering Excellence:
  Direct the creation of efficient, scalable data platforms and pipelines that serve as the foundation for AI/ML systems and business intelligence.
• Dev Ops and Infrastructure:
  Champion Dev Ops practices, CI/CD pipelines, and infrastructure automation. Oversee cloud strategy and implementation to enable rapid development and deployment.
• IT Operations and Security:
  Ensure the reliability, security, and compliance of all technology systems, working closely with the company's CISO. Develop and implement IT policies and procedures that safeguard company and customer data in collaboration with the company's CISO.
• Cross‑functional
  
  Collaboration:
  
  Partner across the organization to understand requirements and deliver solutions that meet market needs.
• Resource Management:
  Optimize engineering resources, budgets, and timelines. Make strategic decisions about build vs. buy, technical debt, and investment priorities.
• Technical Evangelism:
  Represent the company's engineering capabilities both internally and externally. Support sales and marketing efforts with technical expertise.

• Currently located in the Seattle Metro Region and able to work hybrid on‑site a minimum of three days at our Bellevue location
• Master's degree or higher in Computer Science, Engineering, or related technical field (especially in fields related to artificial intelligence, machine learning, or data science)
• 10+ years of experience in engineering leadership roles within healthcare technology, AI‑driven software and SaaS solutions, preferably in AI/ML‑focused early‑stage, start‑up companies
• Deep understanding of modern software development practices, AI/ML technologies,…