Note: The job is a remote job and is open to candidates in USA. ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help enterprises work smarter, faster, and better. The Senior Software Engineering Manager will build and lead the Applied AI Engineering function within Cyber Defense Engineering, developing AI-powered systems for security investigations, threat hunting, intelligence, attack path management, and security issue management. The role also involves recruiting and growing an engineering team, setting technical strategy, and partnering cross-functionally to accelerate cyber defense automation.
Responsibilities
- 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
Skills
- 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
- 10 to 15 years building and shipping software systems at scale (backend, full stack, data, or platform engineering) OR similar experience with education
- 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
- Demonstrated ability to distinguish "build it ourselves" from "enable someone else to build it": this role demands both engineering execution and a coaching mindset
- Comfort operating with significant ambiguity, standing up a new function from the ground up
- A track record of establishing engineering best practices and holding a team to a high bar of technical excellence
- 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
- Familiarity with modern data infrastructure
- Experience building enablement programs, internal platforms, or tooling for non-engineer end users
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans, including flexible spending accounts
- A 401(k) Plan with company match
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs
- Flexible or remote work arrangement
Company Overview
Company H1B Sponsorship