Sr. Manager, Engineering - Semantic Data Modeling Framework (Hybrid

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

Crowd Strike's Data Platform team is expanding on the foundational infrastructure that powers the world's most advanced cybersecurity platform. We are seeking a Sr. Engineering Manager to lead the team responsible for the development, evolution, and enterprise-wide adoption of our ontology-based semantic data modeling framework. This is a critical system that enables consistent, interoperable, and intelligence-rich data representations across Crowd Strike's product portfolio, 3rd party and customer data modeling.

In addition to being a deeply technical leadership role, success will require more than strong engineering execution. We are looking for a leader who can build excitement, drive adoption, and form strong partnerships with internal product teams, data producers, data consumers, security researchers, AI/ML teams, and customer-facing stakeholders. You will help make semantic modeling a practical, scalable, and widely adopted capability across Crowd Strike’s data ecosystem.

• Lead and grow a high-performing engineering team responsible for designing, building, and maintaining Crowd Strike's ontology-based semantic data modeling framework
• Define and own the end-to-end architecture for semantic modeling capabilities, including ontology design, schema management, validation, versioning, and integration with downstream data systems
• Drive the development of scalable, production-grade tooling and services that enable teams to define, discover, extend, and govern semantic data models across Crowd Strike's data ecosystem
• Establish engineering best practices around ontology governance, model lifecycle management, data quality, interoperability, and extensibility
• Partner with Data Platform architecture leadership to ensure alignment with cloud-native infrastructure, graph databases, streaming systems, and data lake/lakehouse architectures
• Evaluate and integrate emerging technologies and standards with a pragmatic, value-driven approach
• Define and execute a roadmap that drives measurable adoption of the semantic data modeling framework across Crowd Strike engineering
• Serve as the primary advocate and trusted advisor for ontology-based data modeling across the organization by translating complex semantic concepts into clear value propositions for assorted technical and non-technical audiences
• Build deep, consultative relationships with internal customer teams to understand their data modeling challenges, identify high-value use cases, and co-develop solutions that demonstrate framework value
• Develop enablement programs including documentation, training, workshops, office hours, and reference implementations that lower the barrier to adoption
• Create and communicate success metrics, adoption dashboards, and impact narratives to senior leadership
• Proactively identify friction points in the developer experience and…