Director of Engineering (Data Platform)

Vectra is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud SaaS identity and data center networks in a single platform. Powered by patented Attack Signal Intelligence it empowers security teams to rapidly prioritize investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information visit .

Director of Engineering Data Platform

About Vectra AI

Vectra AI is transforming cybersecurity through AI-driven threat detection and platform ingests and analyzes petabytes of customer telemetry including network packets logs identity signals and security events to surface real-time insights advanced detections and autonomous security outcomes. The Data Platform organization sits at the heart of that mission powering analytics detections machine learning and next-generation AI capabilities.

The Opportunity

Were looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. Youll own the systems that ingest process store and analyze petabytes of security telemetry daily and youll drive the platform forward to support modern AI workloads autonomous security workflows and next-generation analytics.

This role is first and foremost an organizational leadership role but technical credibility is non-negotiable. Youll need to be architecturally fluent able to engage deeply on system design challenge assumptions and identify risks before they become problems. Youll work closely with our platform architects on technical direction but youre expected to bring your own point of view and push back when something doesnt hold up.

What Youll Do

People and Organizational Leadership

• Build grow and mentor high-performing engineering teams across multiple geographies.

• Develop engineering managers and senior technical leaders through coaching sponsorship and career investment.

• Foster an inclusive culture built on trust ownership and accountability where distributed teams can do their best work.

• Create the conditions for strong execution: clear priorities healthy team rhythms and an environment where engineers can focus on meaningful work.

Cross-Functional Leadership

• Align priorities and investment decisions with Product Security Research AI Infrastructure and Customer teams.

• Communicate platform strategy progress risks and trade-offs clearly to executive leadership.

• Partner with customer-facing teams to understand evolving data requirements and scaling challenges.

• Influence company-wide direction around data AI and platform capabilities.

Execution and Operational Excellence

• Lead delivery of large-scale platform initiatives balancing innovation reliability and speed.

• Set engineering best practices across data processing schema evolution data quality and service-level objectives.

• Own production operations incident management and continuous improvement.

• Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health.

Technical Strategy and Platform Direction

• Engage deeply on architecture decisions for scalable reliable and AI-ready infrastructure able to ask hard questions identify gaps and pressure-test designs alongside platform architects.

• Champion a platform-first mindset with self-service APIs strong developer tooling observability and documentation that accelerate Data Science AI/ML and product teams.

• Drive adoption of modern platform capabilities including feature stores vector storage and model serving infrastructure.

• Champion the use of AI to improve engineering productivity software delivery and incident response.

What Youll Bring

• 10 years of software engineering experience including 5 years leading engineering organizations.

• Proven track record building and operating large-scale data platforms in production.

• Deep expertise across large-scale data infrastructure: distributed systems data ingestion pipelines stream and batch processing and storage systems at scale including object stores columnar databases and time-series systems.

• Champion the use of AI to improve engineering productivity software delivery and incident response.

• Experience with Databricks including Spark-based processing and the Databricks platform ecosystem.

• Experience running ML or AI workloads in production including platforms feature stores or inference infrastructure.

• Operational mindset: SRE principles incident response and a culture of reliability.

• Experience building or operating platforms that support LLM-based applications including retrieval embeddings and model serving.

Preferred

• Background in cybersecurity NDR SIEM XDR observability or related domains.

• Track record optimizing cloud costs and performance at scale on AWS Azure or GCP.

• Background inreal-time detection systems or streaming analytics

What Success Looks Like

• A platform trusted and widely adopted by Data Science AI and engineering teams known for reliability self-service and ease of use.

• Faster time-to-production for analytics detections and AI-powered applications.

• Reduced time from telemetry ingestion to model experimentation and deployment.

• High-performing teams with strong leadership pipelines and a culture people want to stay in.

• Industry-leading infrastructure supporting both advanced detections and autonomous security operations.

Why This Role Matters

Every detection investigation and AI-driven insight Vectra delivers runs on the platform youll lead.Youll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence and youll build and develop the teams that make it possible.

Vectra provides a comprehensive total rewards packagethat supports the financial physical mental and overall health of our employees and their families. Compensation includes competitive base pay incentive plan eligibility and participation in the employee equity plan (stock options). Specific benefits offered varies by location but commonly include health care insurance income protection / life insurance access to retirement savings plans behavioral & emotional wellness services generous time away from work and a comprehensive employee recognition program.

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.

We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status.