Senior Engineering Manager - AI Developer Products

About the role

The Team AI Developer Products builds the next generation of AI tools that enable agentic ServiceNow development. They design, build, and operate distributed agentic systems, define the agentic framework that powers them, create the evaluation frameworks that keep them reliable, and scale the capacity to support all of our customers.

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.

Qualifications

• 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.

Preferred 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.

Pay

Base pay range: $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.

Schedule

Flexible work options are available.