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SeniorFlexibleSanta Clara, US

Engineering Manager

S
ServiceNow
Уровень
Senior
Формат
Flexible
О роли

Описание вакансии

About the company

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

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
Requirements
  • 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
Стек и навыки

С чем работаем