Director, Product Engineering ((AI POD Lead)
About The Position
DTEX is building durable, cross-functional product PODs that own end-to-end customer outcomes—from concept to production and real-world impact. We are seeking a Director, Product Engineering to lead our AI POD, responsible for defining how enterprises understand, detect, and mitigate risk in the age of AI. This is a category-defining role at the intersection of cybersecurity, behavioral analytics, and applied AI. You will lead a dedicated, cross-functional team to build capabilities that address emerging risks from how humans interact with AI systems, models, and data—at enterprise scale. This is not an incremental product area. You will be tackling problems such as: Misuse of generative AI and copilots in the enterprise, Data leakage through prompts and AI-assisted workflows, Behavioral anomalies across human + AI interaction patterns, Emerging attack vectors including model manipulation, distillation, and insider-enabled AI risk. You will operate as a single-threaded leader, owning both business outcomes and technical execution, with the mandate to define the roadmap, build the system, and deliver measurable impact to customers.
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
Nice To Haves
- Experience in AI security or model risk
- Experience in Behavioral analytics / UEBA
- Experience in Data protection or modern DLP systems
- Familiarity with LLM ecosystems and agentic architectures
- Familiarity with Signal processing and detection pipelines
- Familiarity with Enterprise SaaS product development at scale
Responsibilities
- 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
- Incorporate real-world customer feedback into product direction without introducing churn
- Deliver solutions that are stable, scalable, and enterprise-ready
- Uphold strong engineering practices across reliability, performance, and deployment
- Track and improve delivery effectiveness (e.g., lead time, deployment frequency, iteration velocity)
Benefits
- Base salary range (SF Bay Area): $180k-$250k
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
