Senior Director - Data & AI Engineering

We are looking for a hands-on, product-minded Senior Director of Data & AI Engineering to lead our newly formed, elite Data & AI team. In this role, you will lead a highly specialized team comprising data and AI/ML architects.

You are the bridge between deep technical innovation and product delivery. You will not only manage and guide these world-class engineers, but you will also remain actively hands-on—writing code, architecting solutions, and directly collaborating with Product Management, UX, and Core Security Platform teams to transform complex telemetry (logs, configs, alerts) into shipped, high-value AI features.

• Lead an Elite Team: Manage, mentor, and align with a highly senior team of architects. You must possess the deep technical credibility to lead peers of this caliber.
• Keep a "Player-Coach" Mindset: Remain actively hands-on. You will contribute to architecture design, write code where needed, perform high-level reviews, and unblock complex technical bottlenecks alongside your team.
• Cultivate a High-Performance Culture: Foster an environment of rapid experimentation, continuous learning, and rigorous engineering standards, balancing cutting-edge AI research with disciplined production deployment.

• Translate Tech into Product: Partner closely with Product Management to define the AI roadmap, translating complex engineering breakthroughs into clear, highly valuable customer features.
• Bridge the Gap with Core Security Teams: Collaborate with our core security researchers and platform engineers to seamlessly integrate our data and AI runtime pipelines into the broader product ecosystem.
• Design User-Centric AI Experiences: Work with UX designers to ensure AI-driven recommendations, summaries, and analyses are intuitive, actionable, and seamlessly woven into user workflows.

• Own the Release Cycle: Drive the agile execution and delivery of Data and AI-powered product features from ideation to production.
• Balance Speed vs. Guardrails: Establish the processes required to ship fast while ensuring the data security, compliance, and strict model guardrails necessary in a cybersecurity product.
• Manage Stakeholders: Communicate technical concepts, timelines, and business impacts clearly to executive leadership, customers, and cross-functional teams.

• Experience: 8+ years of engineering leadership experience, with at least 3+ years managing high-performing data, machine learning, or platform engineering teams.
• Hands-on Technical Background: A strong technical foundation in software architecture, distributed data systems, or machine learning (ideally with modern generative AI and LLM orchestration). You should still feel comfortable looking at code and diving deep into technical design docs.
• Product Delivery Track Record: Proven experience shipping complex, data-driven features or enterprise SaaS products from scratch.
• Cybersecurity Domain Context: Previous experience working in a security product environment (navigating security logs, firewall/cloud configurations, threat detection, or compliance frameworks) is highly preferred.
• Exceptional Communication: The ability to translate technical AI and data concepts into clear business value for non-technical stakeholders, and vice-versa.

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