Senior Software Engineering Manager (Applied AI Engineering)

• 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
• Cyber defense doesn’t scale through headcount alone. It scales when systems make defenders exponentially more effective
• We’re looking for a Sr Software Engineering Manager to join Cyber Defense Engineering and build the Applied AI Engineering function: a small, high-caliber engineering team applying AI and automation to some of the most challenging problems in cyber defense, protecting a platform trusted by thousands of the world’s largest enterprises
• You’ll own the architecture for systems that automate security incident investigations, accelerate threat hunting, operationalize threat intelligence, scale attack path management, and turn security issue management into measurable risk reduction
• You’ll also build the internal capability for security practitioners to extend that automation themselves, so your systems compound impact rather than create new bottlenecks
• This is a rare opportunity to define how AI transforms cyber defense at scale, with the technical latitude and executive backing to do it right
• Own AI-Powered Security Architecture: Set the technical strategy and architecture for AI-powered use cases across cyber defense domains, including threat intelligence, threat hunting, security operations, incident response, attack path management, and security issue management
• Unify Data Into Defender-Ready Systems: Build solutions that fully leverage internal telemetry, asset data, context, and external intelligence to deliver domain-specific use cases that enable cyber defenders
• Enable Practitioner Self-Sufficiency: Empower security practitioners to extend and maintain automation themselves, compounding your team’s impact over time
• Build a World-Class Engineering Team: Recruit and grow a high-performing engineering team, setting a high technical bar and building durable career paths
• Drive Shipping Velocity: Establish a rapid, low-risk shipping cadence, owning architecture decisions and removing blockers so your team moves fast without breaking things
• Shape the Roadmap Cross-Functionally: Partner closely with Security Operations, Threat Intelligence, Hunting, Red Team, and more on priorities

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time- Comfort operating with significant ambiguity, standing up a new function from the ground up
• Proven track record of building or scaling a high-performing engineering team, with 2+ years managing engineers
• Deep technical fluency: you can code review, evaluate architecture tradeoffs, and unblock the hardest problems your team faces
• 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
• Familiarity with modern data infrastructure
• A track record of establishing engineering best practices and holding a team to a high bar of technical excellence
• 10 to 15 years building and shipping software systems at scale (backend, full stack, data, or platform engineering) OR similar experience with education
• Demonstrated ability to distinguish “build it ourselves” from “enable someone else to build it”: this role demands both engineering execution and a coaching mindset
• Experience building enablement programs, internal platforms, or tooling for non-engineer end users
• Security domain experience (incident response, SOC, threat intelligence, hunting, vulnerability management, etc.), or a strong appetite to learn it quickly
• Experience applying AI/ML to operational or workflow automation at scale