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.
Why This Role?
This role offers the opportunity to shape the next phase of ServiceNow’s reliability engineering strategy. The successful leader will help build the operating model, automation foundation, and engineering culture required to support high-velocity innovation while preserving the trust, performance, and resilience customers expect from ServiceNow’s global cloud platform.
Education: Bachelor’s degree in computer science or a related field.
Communication: Executive-level communication skills with the ability to translate complex technical topics into clear business implications, decisions, and priorities.
Leadership Style: Empathetic, collaborative, and systems-oriented leader who enables teams, builds trust, and guides organizations from hero-based operations toward scalable reliability practices.
Talent Development: Demonstrated success building, leading, and developing globally distributed engineering teams in fast-paced, high-growth environments.
SRE Mindset: Proven commitment to eliminating recurring problems through durable engineering solutions, automation, and systemic reliability improvements.
Architecture Expertise: Proven experience with cloud-native architectures, Infrastructure as Code (IaC), Kubernetes, and microservices at scale.
Generative and Agentic AI: Experience developing agentic AI frameworks to eliminate toil by automating the detection and remediation of transient service disruptions.
SaaS: Experience delivering SaaS products with high performance, scalability, security, and availability.
Engineering Background: 12+ years in software engineering, with at least 5–7 years in a senior leadership role overseeing large-scale distributed systems using public cloud technologies from Azure, Amazon Web Services, or Google Cloud Platform.
For positions in this location, we offer a base pay of $221,200 - $387,100, 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.