Vice President of Engineering

We are seeking a VP of Engineering to lead the team tasked with building Vectra’s groundbreaking initiative to transform the Security Operations Center (SOC). This solution harnesses classical
AI/ML and Agentic AI approaches to radically transform the entire SOC operational model, enabling enterprises to more intelligently process alerts, to identify and resolve real threats faster, and to identify changes to the environment that will lead to better future outcomes.

This is a hands-on leadership role dealing with all the classic challenges of early-stage product development and particularly with SaaS-delivered products or services applying data analytics, ML or AI. The ideal candidate is a leader of high-performance teams who is excited to work on cutting-edge technology and who delights in exceeding customer expectations.

The role reports directly to the CTO.

• Hire a top‑class engineering team
• Build team culture which values very rapid iteration with customer feedback over stable roadmaps and lower cadence release delivery
• Partner with CTO and PM leader to choose tactics in support of overall strategy
• Identify potential technical risks and quickly determine whether they are real risks
• Grow the team by attracting, vetting and hiring talent
• Mentor and grow team members both technically and in their soft skills
• Participate in architecture discussions and guide the technical direction of the team
• Interface with the core Vectra product organization to keep stakeholders abreast of progress and discuss what maturing features should also be implemented in the Vectra platform

• 5+ years of technical management experience
• 5+ years professional software development experience
• Knowledge of software design principles and leading software development practices
• Track record of getting things done, taking initiative and challenging assumptions
• Experience with real-time processing pipelines (Kafka, Flink, etc.) and surrounding technologies
• Experience with LLMs (e.g., OpenAI, Claude, Mistral, Llama), embeddings, and vector databases
• Experience delivering products via public cloud knowledge, preferably AWS
• (desirable) Experience with delivering solutions involving ML, expert systems, or traditional AI
• (desirable) Experience working in the Cybersecurity industry

• BS or MS or PhD in Computer Science or similar technical degree