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

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

Director, Product Engineering – AI POD Lead

Key skills