VP of Engineering

VP Of Engineering

Castify (Creators of Screencastify) is a leading technology company dedicated to improving communication and learning outcomes with video. We have established ourselves as a leader in the K-12 education sector in the United States and we are critical in helping scale a teacher and improve student outcomes. We are also actively expanding into new and exciting markets outside of K-12 including bringing our tested solution into companies and organizations.

Castify is used by over 15M people today and is seeking a VP of Engineering to join our Squad!

What started as the simplest and most reliable screen recorder in the world, with millions of users, is now a multi-product, AI-first platform. Our near future is full of ambitious new goals, features, and products that will enable us to further improve how we provide service to our users and accelerate growth. We prioritize fast iteration without compromising quality while maintaining attention to detail that creates the kind of seamless, high-quality experiences we're known for.

We're looking for an experienced, strategic VP of Engineering to lead and scale our engineering organization as we continue building innovative products that impact millions of users worldwide.

This role will partner with Product and GTM teams to define and execute our technical vision, strengthen engineering operations, and help shape the future of video communication and AI-powered learning experiences.

Responsibilities include:

• Leading a high-performing Engineering organization across multiple product areas and platforms.
• Championing the adoption of AI-powered engineering tools and workflows to accelerate team velocity and output quality.
• Partnering with Product leadership to define technical strategy, roadmap priorities, and execution plans.
• Driving engineering excellence by establishing scalable systems, development standards, and operational best practices.
• Overseeing the architecture, development, testing, deployment, and reliability of our products and infrastructure.
• Shaping and evolving our AI-first product strategy by enabling experimentation, rapid iteration, and scalable implementation.
• Guiding technical decision-making across frontend, backend, infrastructure, data, and platform initiatives.
• Ensuring strong execution across teams by removing blockers, clarifying priorities, and aligning engineering efforts to business outcomes.
• Fostering a strong engineering culture grounded in ownership, accountability, and continuous improvement.