Who are we?

Imagen is developing disruptive technology for the professional photo editing market. We utilize past editing history by each of our Imageners (clients) to create a personalized AI profile, which in turn, enables photographers to optimize their workflow, reduce editing painstaking work, and maintain their unique editing style.

What we are looking for?

Imagen is seeking for a strategic and hands-on Head of Engineering to lead and scale our technical organization.

In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.

Responsibilities:

• Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
• Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
• Remove bottlenecks to improve development velocity and overall engineering efficiency.
• Drive hiring, mentoring, career development, and a culture of ownership and excellence.
• Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
• Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
• Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Requirements:

• At least 10 years in sw and a minimum of 5+ years in an engineering leadership role, including managing team leads in large groups (20+ )
• Proven background as a Full-Stack Developer with a strong, hands-on command of both frontend and backend development.
• Deep understanding and practical experience with modern system architecture (e.g., microservices, distributed systems).
• Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines.
• Strong product sense and the proven ability to translate product vision into a viable technology strategy.
• Bachelor’s or Master’s degree from a leading university in Computer Science, Engineering, or a related field