Director, Product Engineering – AI POD Lead

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🔥 6 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $250k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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DTEX Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

Cybersecurity • Artificial Intelligence • Enterprise

DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.

📋 Description

• Own Outcomes, Not Just Delivery • Own adoption, impact, and success of the AI pillar • Define and drive the product strategy and roadmap aligned to DTEX’s platform vision • Translate ambiguous, emerging problems into clear product direction and execution • Operate a high-velocity POD model with engineering, product, design, and domain specialists • Drive execution cadence, release planning, and milestone delivery • Remove dependencies and ensure the team can ship quickly and predictably • Define and evolve the AI architecture for the pillar (e.g., behavioral analytics, anomaly detection, LLM-driven reasoning, signal fusion) • Drive decisions on build vs. leverage vs. partner across models, infrastructure, and data pipelines • Ensure systems are production-grade—observable, explainable, and privacy-preserving • Rapidly iterate from data → insight → model → product capability • Partner with Sales, Customer Success, and Marketing to bring new capabilities to market • Shape POVs, customer narratives, and early adoption strategies

🎯 Requirements

• Proven experience leading cross-functional product and engineering teams to deliver high-impact outcomes • Strong technical background with the ability to guide architecture-level decisions • Experience building or deploying production AI/ML systems (e.g., behavioral models, anomaly detection, LLM-based systems, or data-driven platforms) • Ability to operate in high-ambiguity, rapidly evolving technical domains • Demonstrated use of AI to accelerate both product capabilities and development workflows • Strong communication and executive alignment skills • Experience in one or more of: AI security or model risk, Behavioral analytics / UEBA, Data protection or modern DLP systems

🏖️ Benefits

• Health insurance • Paid time off • Professional development opportunities