Director of Engineering - AI Control Tower

ServiceNow•Santa Clara, CA

13d•$221,200 - $387,100

About The Position

ServiceNow is hiring a Director of Engineering to lead one or more product areas within its AI Control Tower (AICT), a platform for governing enterprise AI models, agents, and datasets. Reporting to the VP of Engineering, AICT, this leader will own engineering roadmaps and delivery as the product and team grow. The role calls for someone who has built and shipped a product from scratch in a small, fast-moving company and has driven an early product from launch toward sustained customer adoption. The Director will set an AI-native engineering standard, applying AI throughout development and building platform features that treat AI agents as first-class users. The role combines technical leadership with team building and close collaboration with Product Management, Design, partner engineering teams, and senior leadership. ServiceNow describes the work persona as flexible; assignment depends on the role's nature and work location.

Requirements

At least 10 years of software engineering experience and at least 4 years leading engineering teams, as a manager of managers or strong senior manager.
Demonstrable experience at a startup with fewer than 100 employees, hands-on building and shipping a product.
Proven experience driving adoption of a 1.0 or early-stage product.
Deep technical foundation in cloud-native SaaS, including multi-tenant architectures, large-scale REST/gRPC API design, Kubernetes, AWS/Azure/GCP, and Infrastructure as Code tools such as Terraform, CloudFormation, or Helm.
Strong understanding of database schema design, data modeling, and modern data platforms, including relational, graph, vector, columnar, OLAP, and streaming data architectures, and ability to design scalable models for AI and enterprise workloads.
Experience with event-driven architectures.
Ability to operate at both the architectural level and the pull request level when needed.
Track record of building and retaining engineering teams, including in competitive talent markets.
Ability to lead AI adoption across the engineering lifecycle to improve productivity, software quality, reliability, customer experience, and delivery velocity.

Nice To Haves

Experience building governance, observability, or compliance products, with an understanding of enterprise auditability needs.
Familiarity with agentic frameworks and the operational realities of running agents in production, including tool reliability, context management, and failure modes.
Background in enterprise security, IAM, or data governance.
Familiarity with MCP, OpenAPI, or other AI interoperability standards.
MS or PhD in Computer Science, AI, or a related technical field.

Responsibilities

Own the engineering roadmap for assigned AI Control Tower product areas, translating product requirements into technical plans and managing delivery and velocity.
Drive products from early release through customer adoption by iterating based on customer behavior and building feedback loops.
Lead the team's use of AI across engineering practices, including code review and testing, and design platform features for AI agents as first-class users.
Recruit, develop, and retain a high-performing engineering team; provide clear feedback, create stretch opportunities, and foster a strong team culture.
Work with Product Management, Design, and partner engineering teams to align dependencies and ship coherent experiences.
Represent engineering in planning and review forums with senior leadership.
Lead AI adoption across the engineering lifecycle, including product strategy, PRDs, UX, architecture, implementation, code reviews, debugging, testing, security, CI/CD, deployment, observability, APM, operations, and documentation.