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. This is an exceptional opportunity to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential.
The Opportunity:
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, DevOps, 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.

Responsibilities:

• Strategic Leadership. Define and execute the technical vision and roadmap aligned with business objectives. Translate company strategy into actionable engineering plans across Data, Software, DevOps, 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
• DevOps and Infrastructure. Champion DevOps 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

Qualifications:

• 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, data engineering, cloud infrastructure, and IT operations
• Strong grasp of machine learning frameworks, AI model development lifecycle, and the practical implementation of AI systems at scale
• Experience building and managing large-scale data systems and pipelines that power AI applications
• Proven track record implementing DevOps practices, CI/CD pipelines, and infrastructure-as-code methodologies
• Exceptional ability to inspire, mentor, and develop engineering talent. Experience scaling engineering organizations through periods of rapid growth
• Demonstrated ability to connect business strategy to technical implementation, making appropriate trade-offs between speed, quality, and innovation
• Outstanding communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
• Understanding of business metrics, market dynamics, and how engineering decisions impact company performance.
• Familiarity with AI industry trends, competitive landscape, and emerging technologies that could impact engineering initiatives

Compensation and Benefits:

• Base Salary Range: $250,000 - $300,000 per year (commensurate with experience and qualifications)
• Target Annual Performance Bonus
• Equity Package: Generous equity participation in the company's future success.
• Comprehensive benefits package including medical, dental, vision, life and AD&D insurance; 401K; paid time off and holidays
• Opportunity to be a key leader in a rapidly growing and impactful company.

Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.
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