Were 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.
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.
Excellent communication skills, demonstrating the ability to work effectively across all functions.
Proven ability to successfully recruit, develop, and retain top engineering talent.
Bachelors or Masters degree from a leading university in Computer Science, Engineering, or a related field
Preferred Skills (Nice to Have):
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.
This position is open to all candidates.