
Senior Engineering Manager (Agentic AI)
ServiceNow
Santa Clara, CA • 18m ago • Hybrid
Senior
Hybrid
201,300 - 352,300 USD/yr
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Potential salary for Senior Engineering Manager (Agentic AI) role
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$201,300 – $352,300/year
Quick Facts
Role: Senior Engineering Manager (Agentic AI)
Focus: People leadership and technical strategy for AI-native, cloud-native software engineering
Platform: ServiceNow
Description
Lead a team of software engineers building AI-native, cloud-native applications on the ServiceNow platform for mission-critical finance and procurement operations. You combine deep technical credibility with strong people management to drive hiring, execution, quality, and AI-native innovation, including responsible AI guardrails. Partner with product and cross-functional stakeholders to define roadmaps, architecture, and long-term technical initiatives.
Responsibilities
Build, grow, and develop a high-performing, diverse engineering team; set goals and performance metrics; conduct regular 1:1s; coach and guide career development
Foster psychological safety, learning, ownership, and experimentation
Own hiring strategy and execution: sourcing, candidate evaluation, technical interviews/assessments, onboarding, and addressing capability gaps
Set technical direction: architecture and technology decisions, AI/ML alignment, architectural reviews, and quality/security standards
Drive delivery execution: sprint goals, prioritization, blocker removal, velocity/quality/customer metrics, retrospectives, capacity planning, and on-call participation
Engage customers and stakeholders: escalations, customer-critical incident response, and feedback loops into product improvements
Provide organizational leadership: model values, support leadership bench strength, mentor peers, and promote inclusion and sustainable pace
Lead AI-native innovation: coach prompt engineering, retrieval systems, and agentic workflows; implement evaluation-driven development, hallucination detection, and model performance monitoring; reinforce responsible AI principles and guardrails
Requirements
12+ years professional software development; 5+ years in AI-native systems and/or cloud-native architecture
4+ years people management experience leading software engineers
3+ years managing application development on SaaS platforms (ServiceNow, Salesforce, or similar)
3+ years hands-on AI/ML experience including LLM integration, prompt engineering, and responsible AI
Expert-level knowledge of CI/CD, testing, security, and deployment
Strong technical credibility and hands-on coding ability; able to collaborate with IC4/IC5 engineers
Deep proficiency in Python, Java, and JavaScript; knowledge of ServiceNow scripting and platform APIs
Proven ability to deliver business results, scale teams, and drive accountability
Strong communication, coaching, mentoring, and cross-stakeholder influence skills
Experience with Agile and Scrum
Understanding of data security, compliance, and responsible AI practices
Bachelor’s degree in computer science, engineering, business, or related field
Benefits
Base pay guideline: $201,300–$352,300, plus equity (when applicable), variable/incentive compensation, and benefits
Health plans, flexible spending accounts, 401(k) with match, ESPP, and matching donations
Flexible time away plan and family leave programs
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