Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $85M in funding and rallying a dedicated team of 120 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one platform, and continue to grow and expand our team, our partnerships and our revenue.
Guardz is looking for an Engineering Manager to lead one of our product engineering teams, building and scaling our cybersecurity platform.
We’re looking for a manager who is AI-first in mindset, comes from large-scale product environments, and knows how to translate product needs into scalable, reliable, and high-performing engineering solutions. You will operate in a fast-moving environment, driving execution while adapting quickly to change.
Responsibilities:
- Lead and develop a high-performing team of engineers, fostering ownership, accountability, and growth
- Promote an AI-first engineering culture, leveraging modern tools to improve velocity and effectiveness
- Drive delivery of customer-facing features with high standards for quality, performance, scalability, reliability, and speed
- Identify performance and architectural bottlenecks and drive technical decisions that support future scale and efficient data processing
- Partner closely with Product, Design, Security Research and other stakeholders to define priorities and deliver business impact
- Stay close to the team’s technical work, contributing to design, architecture, and problem-solving when needed
- Own team execution end-to-end, from planning and delivery to continuous improvement
- Coach and mentor engineers, supporting their professional and career growth
- Continuously improve development practices, including CI/CD, testing, and cloud infrastructure
Requirements:
- 5+ years of experience managing engineering teams
- Proven experience building large-scale products serving a significant customer base
- Strong experience with performance-sensitive systems with demanding reliability and SLA requirements
- Strong system design and architectural experience, including performance, scale and data processing; experience with multi-tenant environments is a strong advantage
- Strong product and business orientation, able to connect engineering decisions to customer and company impact
- Proven adoption of AI-first development practices
- Experience working in dynamic, fast-paced environments
- Strong technical background in modern software development; the specific technology stack is flexible based on relevant experience
- Hands-on capability, able to dive into technical challenges and support the team when needed
- Solid experience with cloud environments and CI/CD practices
- Excellent communication and stakeholder management skills
- Lead by example
- High level of independence and ownership
