{"schemaVersion":"jobsearcher.job.v1","id":"511293030b616b6cfe31fb25","url":"https://jobsearcher.com/jobs/511293030b616b6cfe31fb25","canonicalUrl":"https://jobsearcher.com/jobs/511293030b616b6cfe31fb25","title":"Lead Developer Advocate, SQL & Analytics Workloads","description":"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.\n\nWe 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.\n\nAS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL:\n\nLead 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.\n\nIntegrate 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.\n\nDevelop 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.\n\nAddress tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up.\n\nRepresent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units.\n\nSecure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers.\n\nPartner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities.\n\nDesign and manage response capabilities built into Snowflake's AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines.\n\nLead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale.\n\nDrive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads.\n\nOUR IDEAL SENIOR SECURITY ENGINEER WILL HAVE:\n\n5+ years of experience in information security, primarily in incident response, security engineering, or product/application security (preferred).\n\nDirect experience serving as incident commander for product focused security incidents.\n\nExperience leading or actively building an application or security engineering program, with a clear point of view on securing AI/ML systems.\n\nExperience with threat modeling and security testing across AI attack surfaces, including prompt injection, indirect injection, model inversion, embedding extraction, and supply chain attacks on AI dependencies.\n\nFamiliarity with the unique data governance and security challenges introduced by LLMs, RAG architectures, and agentic systems.\n\nWorking knowledge of cloud-native environments (AWS, Azure, GCP) and the threat landscape specific to SaaS and AI platforms.\n\nSQL proficiency, plus experience building automation and tools with common programming languages (Python preferred).\n\nStrong communication skills, with the ability to translate security risk into actionable guidance for product teams.\n\nEmpathy for developer experience, helping AI engineers ship securely rather than slowing them down.\n\nBachelor's degree in Computer Science or a related field, or equivalent experience.\n\nBONUS POINTS FOR THE FOLLOWING:\n\nExperience securing AI/ML infrastructure, including model serving, vector databases, embedding pipelines, API gateways, and LLM-integrated application architectures.\n\nExperience building agentic incident response capabilities, including skills, agents, and pipelines.\n\nUnderstanding of current attacker TTPs, including emerging AI-specific techniques such as adversarial ML, agent manipulation, and LLM jailbreaking in enterprise contexts.\n\nFamiliarity with CI/CD and secure release lifecycle patterns, with an emphasis on building security into AI feature pipelines.\n\nPreferred certifications: GCIA, GCIH, GCSA, GDAT, CISSP/GISP, or cloud certifications (AWS, Azure, GCP).\n\nWHY JOIN OUR SECURITY INCIDENT RESPONSE TEAM AT SNOWFLAKE?\n\nThis is a chance to do incident response at the frontier of AI security, on products that thousands of enterprises rely on. You will work alongside strong AI and security engineering teams, shape how Snowflake responds to novel LLM and agentic threats, and build the tooling and playbooks that define response for AI-native systems. The work is high-impact and highly visible, with direct influence on the trust customers place in Snowflake's AI capabilities.\n\nEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.\n\nSnowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\n\nHow do you want to make your impact?\n\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com\n\nThe following represents the expected range of compensation for this role:\n\nThe estimated base salary range for this role is $176,000 - $253,000.\nAdditionally, this role is eligible to participate in Snowflake’s bonus and equity plan.\n\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.\n\nTo comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.","company":"Snowflake7f4a7fba","rawCompany":"snowflake7f4a7fba","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-22T11:08:47.383Z","occupations":[{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1212.00","title":"Information Security Analysts","slug":"information-security-analysts"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Developer Advocate, SQL & Analytics Workloads","description":"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.\n\nWe 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.\n\nAS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL:\n\nLead 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.\n\nIntegrate 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.\n\nDevelop 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.\n\nAddress tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up.\n\nRepresent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units.\n\nSecure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers.\n\nPartner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities.\n\nDesign and manage response capabilities built into Snowflake's AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines.\n\nLead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale.\n\nDrive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads.\n\nOUR IDEAL SENIOR SECURITY ENGINEER WILL HAVE:\n\n5+ years of experience in information security, primarily in incident response, security engineering, or product/application security (preferred).\n\nDirect experience serving as incident commander for product focused security incidents.\n\nExperience leading or actively building an application or security engineering program, with a clear point of view on securing AI/ML systems.\n\nExperience with threat modeling and security testing across AI attack surfaces, including prompt injection, indirect injection, model inversion, embedding extraction, and supply chain attacks on AI dependencies.\n\nFamiliarity with the unique data governance and security challenges introduced by LLMs, RAG architectures, and agentic systems.\n\nWorking knowledge of cloud-native environments (AWS, Azure, GCP) and the threat landscape specific to SaaS and AI platforms.\n\nSQL proficiency, plus experience building automation and tools with common programming languages (Python preferred).\n\nStrong communication skills, with the ability to translate security risk into actionable guidance for product teams.\n\nEmpathy for developer experience, helping AI engineers ship securely rather than slowing them down.\n\nBachelor's degree in Computer Science or a related field, or equivalent experience.\n\nBONUS POINTS FOR THE FOLLOWING:\n\nExperience securing AI/ML infrastructure, including model serving, vector databases, embedding pipelines, API gateways, and LLM-integrated application architectures.\n\nExperience building agentic incident response capabilities, including skills, agents, and pipelines.\n\nUnderstanding of current attacker TTPs, including emerging AI-specific techniques such as adversarial ML, agent manipulation, and LLM jailbreaking in enterprise contexts.\n\nFamiliarity with CI/CD and secure release lifecycle patterns, with an emphasis on building security into AI feature pipelines.\n\nPreferred certifications: GCIA, GCIH, GCSA, GDAT, CISSP/GISP, or cloud certifications (AWS, Azure, GCP).\n\nWHY JOIN OUR SECURITY INCIDENT RESPONSE TEAM AT SNOWFLAKE?\n\nThis is a chance to do incident response at the frontier of AI security, on products that thousands of enterprises rely on. You will work alongside strong AI and security engineering teams, shape how Snowflake responds to novel LLM and agentic threats, and build the tooling and playbooks that define response for AI-native systems. The work is high-impact and highly visible, with direct influence on the trust customers place in Snowflake's AI capabilities.\n\nEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.\n\nSnowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\n\nHow do you want to make your impact?\n\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com\n\nThe following represents the expected range of compensation for this role:\n\nThe estimated base salary range for this role is $176,000 - $253,000.\nAdditionally, this role is eligible to participate in Snowflake’s bonus and equity plan.\n\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.\n\nTo comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.","datePosted":"2026-09-22T11:08:47.383Z","dateModified":"2026-09-22T11:08:47.383Z","hiringOrganization":{"@type":"Organization","name":"Snowflake7f4a7fba","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"511293030b616b6cfe31fb25"},"url":"https://jobsearcher.com/jobs/511293030b616b6cfe31fb25"}}