Staff Lead AI Security Researcher at ServiceNow

Petah Tikva, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Security, GenAI, Security Research, Data Science, Collaboration, Communication, Vulnerability Mitigation, Thought Leadership, Large Language Models, Agentic Architectures, OWASP, MITRE ATLAS, Research Publications, Adversarial Attacks, Prompt Injection, Data Poisoning

Industry

Software Development

Description

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 Job Description At ServiceNow, we are transforming the way enterprises operate through innovative Agentic AI solutions, powering seamless and secure experiences. Our AI Security team is critical to ensuring our advanced AI, especially agentic AI systems, remains secure, safe, and trustworthy. The AI Security group includes an engineering team led by an Engineering Lead, an AI team and an AI Security research lead whose role is to make sure ServiceNow is at the forefront of Agentic AI security. Role As our Staff Lead AI Security Researcher, you will spearhead security research efforts focused on research and AI security innovation while collaborating with the team on implementation of such technologies, such as advanced guardrails for securing ServiceNow’s Generative AI (GenAI) and agentic AI systems and initiatives for assessing and improving the security and safety of our AI models. Collaborating closely with the engineering and AI teams. What You’ll Do: Lead innovative AI security and safety research, particularly around GenAI and agentic AI. Contribute to industry-wide key AI security initiatives such as OWASP, MITRE ATLAS and others Work collaboratively with engineering teams and specialised security researchers to integrate security best practices into the AI development lifecycle. Provide expert insights on emerging threats and vulnerabilities unique to AI systems and propose effective mitigation strategies. Communicate research outcomes clearly, influencing technical and strategic decisions throughout the organisation. Actively contribute to thought leadership in the AI security domain, participating in internal and external presentations, research publications, and standards development. Qualifications To be successful in this role, you have: 5+ years of experience in security research, AI/ML research, data science, or related fields, specifically with experience securing AI systems. Expertise in GenAI and GenAI Security Demonstrated success in identifying and mitigating security vulnerabilities in AI systems, particularly involving large language models (LLMs) and agentic architectures. Excellent communication and collaboration skills, able to clearly articulate complex findings to technical teams, leadership, and external partners Preferred Qualifications: Previous experience leading research projects in corporate or academic environments. Published research or contributions to standards in AI security, safety, or responsible AI practices. Familiarity with OWASP LLM Top 10 and experience addressing vulnerabilities such as prompt injection, data poisoning, and adversarial attacks. Advanced degree (PhD or MS) in Computer Science, Data Science, Cybersecurity, or a related field. Join ServiceNow to shape the future of AI security, enabling enterprises to confidently leverage cutting-edge AI solutions. 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 and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. 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 [email protected] 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

Lead innovative AI security and safety research, particularly around GenAI and agentic AI. Collaborate with engineering teams and specialized security researchers to integrate security best practices into the AI development lifecycle.