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.
**Please note, this role requires a minimum of 2 days per week in the Seattle, WA or San Diego, CA ServiceNow Offices – PLEASE DO NOT APPLY IF YOU CANNOT MEET THIS REQUIREMENT FIRST, Thank you**
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 Security Research team produces investigative reports that drive a reduction in operational security risk. Paired with a toolkit of code/program and dynamic environmental analysis skills, Security Research provides guidance on primary security controls, best practices, and product enhancement.
Exploration techniques focus on problems broadly, measuring industry trends and product insecurity across ServiceNow’s cloud environment. A goal of the Research team is to continually drive ServiceNow’s reputation as a leader in cloud security.
The Role:
As a Senior Staff AI/ML Product Security Engineer, you’ll be responsible for helping secure ServiceNow’s leading edge generative AI product capabilities. You will work with internal AI/ML development teams to perform security reviews of AI Systems throughout the MLOps lifecycle.
In this role you’ll be responsible for identifying vulnerabilities, assisting with remediation planning and providing development security support. A key part of this position is understanding, discovering and documenting vulnerabilities in proprietary AI/ML systems which use technologies such as large language models (LLMs).
What you get to do in this role:
Work with other AI Security experts to perform AI Red Teaming assessments that identify and reduce product risks
Conduct security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs).
Collaborate with AI developers to integrate security measures into products and within the development lifecycle.
Stay updated on the latest AI security trends and technologies.
Explore tactics, techniques and procedures (TTP) utilized by attacks with a focus of exploring on non-deterministic behaviors
Provide detailed reports and recommendations based on security evaluations.
In order to be successful in this role, we need someone who has:
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.
Strong interpersonal skills (written and oral communication) and the ability to work collaboratively in a team environment. Ability to articulate complex issues to executives and customers.
12+ years of experience as a Product Security Engineer or related experience
4+ years in a role performing AI/ML security assessment working for an AI Security consultancy or as a product security engineer.
An analytical mind for problem solving, abstract thought, and offensive security tactics.
Post graduate degree and/or related certifications in Machine Learning or Artificial Intelligence. PhD or masters in AI/ML preferred.
Strong understanding of probability theory, linear algebra and calculus.
Knowledge of current academic work in Adversarial attacks of LLMs.
In-depth experience with exploiting OWASP LLM Top 10 application vulnerabilities, such as prompt injection and data poisoning. Experience with Agentic security frameworks preferred.
Experience training machine learning models including transformer based LLMs.
Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and comprehension of Python code
Strong understanding of Natural Language Processing (NLP) and related frameworks (e.g. nltk, spacy)
Knowledge of regulatory and compliance standards related to AI and data security.
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.
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