Senior Team Lead Engineering Manager VMS

Product Overview

We are building an AI-powered autonomous vulnerability management platform that goes beyond traditional scanning and reporting. Our platform uses advanced AI agents to predict prioritize and autonomously remediate security threats before they can be exploited.

Our vision shifts from reactive to predictive providing a true endpoint-to-vulnerability visibility and replacing human-intensive manual processes with intelligent and AI agentic workflow.

Join our team and together build the future of vulnerability management and cybersecurity automation.

Role Overview

Lead a cross-functional team of AI engineers security researchers software engineers to deliver groundbreaking autonomous vulnerability management capabilities. Drive technical strategy while building a high-performing engineering culture.

Key Responsibilities

• Lead and mentor a small but yet top-talented team engineers across AI security full-stack and DevOps disciplines.

• Drive technical architecture decisions for AI-powered vulnerability management system.

• Collaborate with product management to translate business requirements into technical roadmaps.

• Establish software development process and engineering best practices - agile high efficient and business oriented outcomes.

• Oversee hiring and onboarding of technical talent in a competitive AI market.

• Drive technical innovation while ensuring deliveries.

• Establish metrics and engineering KPIs for performance and productivity.

• Foster a culture of technical excellence continuous learning and innovation.

Must-Have Skills

• 5 years software engineering experience with 2 years in management roles.

• Experience managing cross-functional engineering teams (4 people).

• Solid background in distributed and cloud based system.

• Track record of delivering complex technical products to market.

• Leadership skills: coaching mentoring and developing engineering talent.

• Strategic thinking: ability to balance technical debt innovation and delivery.

• Communication skills: presenting to executives and translating technical concepts.

• Hiring experience: building teams and assessing technical talent.

Nice-to-Have Skills

• AI/ML domain expertise: hands-on experience with LLMs multi AI agent systems.

• Cybersecurity background: vulnerability management threat intelligence or security operations.

• Experience in building products from 0-1 in fast-paced environments.

• Community building experience.

• Technical writing and public speaking experience.

• Advanced degree in Computer Science AI or related technical field.

Required Experience:

Manager