Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The ServiceNow Security Organization (SSO)  

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. 

The Team 

The AI/ML Security team works closely with GenAI development teams to help ServiceNow automate the world of business. Paired with a toolkit of AI/ML development skills and AI/ML security assessment knowledge, the team is responsible for performing security reviews of AI systems throughout the MLOps lifecycle. These efforts include providing developers security support and assisting with release sign-off. In addition to reducing vulnerabilities, the team also helps mature platform-wide security controls and works closely with other Product Security peer teams to improve secure AI/ML development lifecycles. The team is responsible for defining AI testing paradigms and integrating it into the development lifecycle.

The Role:

As a Sr. Manager of AI Security, you’ll be responsible for overseeing a team that performs release validation security testing and ad hoc security consulting and advisory for ServiceNow AI system development. This will require experience building business processes within software release lifecycles and a strong understanding of AI/ML vulnerability assessment methodology. Coordinating team activities will require deep-dive knowledge of AI/ML concepts and vulnerabilities that affect training large language models (LLM), AI system development, and agentic AI / RAG functionality. 

What you get to do in this role:

• Lead a team of experienced AI/ML security professionals focused on defining and conducting security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs).
• Collaborate with AI developers to integrate security activities into the development lifecycle.
• Guide the development and implementation of security benchmarks and evaluation protocols for LLMs.
• Work closely with release management teams to help mature validation and sign-off processes

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 
• 5-8 years of experience leading AI product security or security development team(s), with an emphasis on scoping and overseeing delivery of AI security practices. 
• Knowledge of current academic work in adversarial attacks of LLMs such as prompt injection, jailbreaks, data poisoning, and OWASP LLM Top 10 vulnerabilities.
• Knowledge of regulatory and compliance standards related to AI and data security.
• Strong interpersonal skills (written and oral communication) and the ability to work collaboratively in a team environment. 
• Experience building project plans, goal setting, managing deadlines, and monitoring project progress. 
• An analytical mind for problem solving, abstract thought, and offensive security tactics.
• Understanding of probability theory, linear algebra and calculus recommended.
• Postgraduate degree and/or related certifications in Machine Learning or Artificial Intelligence. PhD or Masters in AI/ML preferred.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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