Job Overview
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them.
AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: • Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads.
- Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment.
- Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers.
- Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up.
- Represent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units.
- Secure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers.
- Partner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities.
- Design and manage response capabilities built into Snowflake's AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines.
- Lead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale.
- Drive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads.