DTEX Systems

Full-stack Engineer

• 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

Director, Product Engineering – AI POD Lead