Director of AI Job San Jose area,California USA,IT/Tech

We’re looking for a strategic and inspired Director of AI to lead our AI and data engineering teams, drive our AI strategy, and serve as a resident expert within the organization
You will shape the vision and execution of AI and machine learning initiatives across our platform, champion best-in-class architecture and engineering practices, and partner broadly with product, engineering, and business leadership to unlock the next wave of AI-driven capabilities in cybersecurity
This individual will focus on creating and operationalizing AI strategy while scaling team capabilities and ensuring high ROI from AI investments
Define, evolve, and execute Vectra’s AI strategy in alignment with business and product goals
Evangelize AI vision and strategy to executives, cross-functional partners, and external stakeholders
Translate long-term AI goals into actionable roadmaps with clear priorities and measurable outcomes
Lead a team of cross-functional executives responsible for driving Gen AI initiatives in their organizations through a ‘hub-and-spoke model.’
Lead and grow high-performing teams of AI engineers, machine learning engineers, and data engineers
Mentor and develop technical talent; foster a culture of collaboration, innovation, and continuous learning
Set performance targets and build career paths for team members
Work closely with Engineering, Product, Data Science, Security Research, and Go-to-Market functions to embed AI across Vectra’s platform and solutions
Partner with executive leaders to conduct “build vs buy” assessments, prioritize programs, conduct feasibility assessments, document requirements and deliver technical programs assessments,
Technical Excellence
Guide architectural decisions for scalable AI/ML systems, MLOps, data pipelines, model governance, and deployment frameworks
Drive best practices for experiment tracking, monitoring, retraining, and model lifecycle management
Stay abreast of AI advancements — especially in machine learning, deep learning, generative models, and large-scale distributed systems — and determine how to bring relevant innovation into production
Ensure responsible, secure, and ethical use of AI — especially given the sensitive nature of cybersecurity data
Establish governance frameworks for model quality, bias mitigation, and compliance with internal and external standards
Define and track key performance indicators for AI initiatives (e.g., model accuracy, operational efficiency, cost impact, and business value delivered)
Report on progress, blockers, and outcomes to senior leadership

Benefits

Unlimited PTO
Healthcare Packages
Global Wellness Days
Employee Assistance Programs
Parental Leave
Fertility Assistance

Qualifications

3+ years in a leadership role managing engineers, data practitioners, or AI/ML teams
Proven track record shaping AI strategy that influences product and business outcomes
8+ years of experience building, scaling, and deploying AI/ML systems in production environments in Engineering or IT organizations
Hands‑on experience with modern ML frameworks (Tensor Flow, PyTorch), cloud platforms, and data infrastructure
Strong foundation in machine learning, data architecture, distributed systems, and AI tooling
Track record of deploying models at scale with attention to reliability, performance, and monitoring
Demonstrated ability to collaborate across functions and lead in a high‑growth environment
Comfortable operating at both strategic and tactical levels
Excellent communicator with ability to articulate complex technical concepts to non‑technical stakeholders
Advanced degree in Computer Science, Machine Learning, Data Science, or a related field preferred

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