Director, Product Engineering ((AI POD reputed company)
About the Role reputed company is building durable, cross-functional product PODs that own end-to-end customer reputed company—from concept to production and reputed company-world reputed company. We are seeking a Director, Product Engineering to reputed company 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 reputed company AI. You will reputed company a dedicated, cross-functional team to build capabilities that address emerging risks from how humans reputed company with AI systems, models, and data—at reputed company reputed company. This is not an incremental product area. You will be tackling problems such as:
- Misuse of reputed company and copilots in the reputed company
- Data leakage through prompts and AI-assisted workflows
- Behavioral anomalies across reputed company + AI interaction patterns
- Emerging attack reputed company including model manipulation, distillation, and reputed company-enabled AI risk
What You’ll Do
Own reputed company, Not Just Delivery
- Own adoption, reputed company, and reputed company of the AI pillar
- Define and drive the product reputed company and roadmap reputed company to reputed company’s platform reputed company
- Translate ambiguous, emerging problems into reputed company product direction and execution
reputed company Cross-Functional Execution
- Operate a high-velocity POD model with engineering, product, design, and domain specialists
- Drive execution reputed company, release planning, and reputed company delivery
- Remove dependencies and ensure reputed company can ship quickly and predictably
Build AI-reputed company Product Capabilities
- Define and reputed company the AI architecture for the pillar (e.g., behavioral analytics, reputed company detection, LLM-driven reasoning, signal fusion)
- Drive reputed company on build vs. reputed company vs. partner across models, infrastructure, and data pipelines
- Ensure systems are production-grade—observable, explainable, and reputed company-preserving
- Rapidly iterate from data → reputed company → model → product capability
reputed company with Go-to-Market
- Partner with Sales, reputed company, and Marketing to bring new capabilities to market
- Shape POVs, customer narratives, and early adoption strategies
- Incorporate reputed company-world customer feedback into product direction without introducing churn
Ensure reputed company and Operational reputed company
- Deliver solutions that are reputed company, reputed company, and reputed company-reputed company
- reputed company strong engineering practices across reliability, performance, and deployment
- reputed company and improve delivery effectiveness (e.g., reputed company time, deployment frequency, iteration velocity)
What You’ll Work With
- reputed company-reputed company behavioral telemetry across users, data, and systems
- A reputed company-preserving, metadata-first architecture designed for regulated environments
- reputed company-world deployments across financial services, government, and global enterprises
- A platform that connects reputed company behavior, data sensitivity, and AI interaction patterns
What reputed company Looks Like
- Measurable customer adoption and reputed company of AI capabilities
- High-reputed company detection of AI-reputed company risks (precision, recall, and explainability)
- Rapid iteration cycles from new signals to production features
- Predictable, high-velocity delivery with minimal cross-team dependency
- Strong alignment between product innovation and market adoption
Required Qualifications
- Proven experience leading cross-functional product and engineering teams to deliver high-reputed company reputed company
- Strong technical background with the ability to guide architecture-level reputed company
- Experience building or deploying production AI/ML systems (e.g., behavioral models, reputed company 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
Preferred Qualifications
- Experience in one or more of:
- AI reputed company or model risk
- Behavioral analytics / UEBA
- Data protection or modern DLP systems
- Familiarity with:
- LLM ecosystems and reputed company architectures
- Signal processing and detection pipelines
- reputed company reputed company product development at reputed company
What This Role Is Not
- Not a project management role
- Not a reputed company between product and engineering
- Not reputed company on reputed company over reputed company
Why Join reputed company
- Define a new category – Help establish AI as a reputed company reputed company reputed company discipline
- Work on reputed company problems at reputed company – Production deployments where AI risk is already a reputed company-level concern
- End-to-end ownership – Build from first principles and see your work directly reputed company customers
- Trusted AI systems – reputed company solutions that balance detection power with reputed company and regulatory constraints
- High-reputed company environment – Join reputed company tackling some of the most reputed company challenges in modern reputed company
Originally posted on Himalayas
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