Head of Engineering

We’re seeking 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.
• Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
• 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.
• Roll up your sleeves when needed and set the standard for hands-on technical leadership.
• 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.
• Make key technology decisions and evaluate new tools, frameworks, and services.
• Define and track engineering KPIs to ensure system performance, uptime, and team productivity.
  
  

• 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.
• Excellent communication skills, demonstrating the ability to work effectively across all functions.
• Proven ability to successfully recruit, develop, and retain top engineering talent.
• Bachelor’s or Master’s degree from a leading university in Computer Science, Engineering, or a related field
  
  

• Prior experience with Software as a Service (SaaS) platforms targeting Small to Medium Businesses (SMBs) or independent Professionals.
• Background in productionizing Machine Learning or AI models, with specific experience in areas like computer vision or image processing.