Senior Engineering Manager - AI Developer Products

ServiceNow•San Diego, CA

22h•Hybrid

About The Position

The AI Developer Products team is responsible for building the next generation of AI tools that enable agentic ServiceNow development. This involves designing, building, and operating distributed agentic systems, defining the agentic framework, creating evaluation frameworks for reliability, and scaling capacity to support all customers. The work directly influences how developers build on ServiceNow in an AI-first world, impacting developer productivity, agent reliability, and the future of AI-powered engineering experiences. Engineers in this organization tackle complex distributed systems challenges and help shape the future architecture of the ServiceNow platform as it evolves into an AI-first enterprise software company.

Requirements

Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, software development, or operational workflows.
8+ years of software engineering experience, including significant experience building large-scale distributed systems and cloud-native platforms.
3+ years of engineering leadership experience managing high-performing software engineering teams.
Extensive experience building NodeJS, TypeScript-based applications (must).
Distributed systems experience, framework design experience, and infrastructure design experience (must).
Infrastructure operational experience with Kubernetes (k8s) systems (must).
Strong networking and systems design experience (must).
Experience with Java and distributed systems architecture.
Experience building and operating large-scale backend systems, runtime services, or infrastructure systems.
Deep understanding of system design, scalability, performance optimization, concurrency, fault tolerance, and observability.
Experience with event-driven architectures, messaging systems, caching technologies, and large-scale data processing.
Experience operating services in cloud-native environments using modern DevOps and SRE practices.
Proven ability to influence technical strategy and execute against complex organizational priorities.
Strong communication and cross-functional leadership skills.

Nice To Haves

Experience working in agile development environments and contributing to open-source technologies is a plus.
Experience building agentic systems, AI frameworks, developer platforms, or distributed systems at enterprise scale.
Experience with AI-enabled platforms, evaluation frameworks, telemetry systems, or intelligent automation frameworks.
Experience driving reliability, performance, and operational excellence initiatives for mission-critical services.

Responsibilities

Lead the development of distributed agentic systems and the frameworks that power AI-driven ServiceNow development.
Partner closely with Product Management, Architecture, Infrastructure, AI Platform, and Engineering teams to deliver scalable and resilient agentic capabilities.
Drive technical strategy and execution for highly distributed, high-throughput systems.
Foster a culture of engineering excellence, operational rigor, and continuous innovation.
Lead and mentor engineering managers and software engineers while growing a world-class engineering organization.
Make architectural decisions that improve scalability, reliability, performance, and maintainability.
Drive adoption of AI-powered engineering practices and intelligent automation across the software development lifecycle.
Manage organizational priorities, staffing, career development, and succession planning.
Navigate ambiguity and solve complex technical and organizational challenges that span multiple teams and products.
Champion engineering best practices including observability, resiliency, automation, security, and operational excellence.