• Keep the map of ML usage and safeguards across our products current, and lead the security design of new ML features
• Break our safeguards: test the boundaries on jailbreaks, prompt injection, prompt leaks and toxicity, and turn findings into eval cases that run on every model, prompt and safeguard change
• Design and build mitigations with ML engineers that hold when detection misses
• Define the security metrics that show whether our safeguards work, and report on them
• Review changes that could weaken a safeguard
• Track AI attack research and turn new techniques into tests and mitigations
• Typically 8 or more years in security engineering, including 2 or more years focused on AI or LLM security
• Hands-on adversarial experience, such as red teaming, penetration testing or vulnerability research, applied to LLM systems
• Deep knowledge of LLM attacks and defenses (for example, the OWASP Top 10 for LLM Applications and MITRE ATLAS)
• Ability to identify risks, develop mitigation plans, and implement the fixes yourself
• Strong coding skills in Python or Go, and a record of shipping production code, not only findings
• Enough ML fundamentals to build evals and judge the efficacy of a classifier
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
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, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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.
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