We are looking for a visionary Head of Engineering to lead and scale our talented engineering team. In this role, you will drive the development of innovative, user-focused product features while ensuring our application and network are highly available, scalable, and secure. Your leadership will shape the future of Collective[i]’s technology, empowering businesses to thrive with cutting-edge AI-powered solutions. This is an opportunity to make a meaningful impact, inspire a high-performing team, and advance our mission to help people and companies prosper.
Responsibilities:
- Lead and inspire Frontend, Backend, Data Engineering, and Infrastructure teams, cultivating a collaborative and high-performing culture
- Recruit, develop, and manage top engineering talent to drive excellence
- Design and implement scalable, secure, and high-quality systems to support growth
- Partner with Product teams to shape and execute the technology roadmap
- Stay ahead of emerging technologies to ensure innovation and competitive advantage
- Oversee engineering budgets, ensuring resources are optimized effectively
Qualifications
- Provide technical guidance to team leads on architecture and design decisions
- Manage, mentor, and communicate business and performance objectives effectively to a large team
- Demonstrate strong communication skills and collaborate seamlessly with business, product, and development teams
- Thrive under time-sensitive delivery deadlines while maintaining high-quality outcomes
- Foster a team-player mentality with a strong sense of ownership and pride in delivering impactful work
Technical Requirements
- Progressive engineering leadership experience in enterprise or analytical software development
- Expertise in AI/ML systems and their practical applications
- Proven experience with agile methodologies, Test-Driven Development (TDD), and Continuous Delivery (CD)
- Mastery of modern web programming standards and microservices architecture; strong knowledge of React, Angular, NodeJS, and Python
- Hands-on experience with cloud computing infrastructure (e.g., AWS, GCP) and scalable, distributed system design
Compensation range for candidates in the United States, the specific range should be determined prior to posting the role.