Director of Engineering - AI Control Tower

ServiceNow•Santa Clara, CA

13d

About The Position

ServiceNow is seeking a Director of Engineering to lead one or more product areas within its AI Control Tower (AICT) platform, a hub for governing enterprise AI models, agents, and datasets. Reporting to the VP of Engineering, AICT, this leader will help build infrastructure for enterprises moving agentic AI from experimentation to production. The role calls for experience building and shipping a product from scratch, launching a 1.0, and turning early customer traction into sustained adoption. Scope and ownership will evolve as the product and team grow. The Director will own engineering roadmaps and delivery, lead a focused engineering team, and establish AI-native development practices. They will partner with Product Management, Design, and engineering teams to coordinate dependencies and deliver coherent product experiences, while representing Engineering in senior leadership planning and review forums. The role combines technical leadership and hands-on contribution, alongside recruiting, developing, and retaining a high-performing team.

Requirements

10+ years of software engineering experience and 4+ years leading engineering teams, as a manager of managers or strong senior manager.
Demonstrable startup experience at a company 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 APIs, Kubernetes, AWS/Azure/GCP, and Infrastructure as Code tools such as Terraform, CloudFormation, and Helm.
Strong understanding of database schema design, data modeling, and modern data platforms, including relational, graph, vector, columnar, OLAP, and streaming architectures.
Knowledge of event-driven architectures and ability to design scalable data models for AI and enterprise workloads.
Ability to apply AI across the engineering lifecycle to improve productivity, software quality, reliability, customer experience, and delivery velocity.
Ability to work 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.

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.
Maintain engineering velocity to meet the needs of a fast-moving market.
Drive products from early release through customer adoption by iterating based on customer behavior and building effective feedback loops.
Set the standard for AI use across the engineering team, including AI-assisted code review and testing and platform designs that treat 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 deliver coherent experiences.
Represent Engineering in planning and review forums with senior leadership.
Lead adoption of AI across the engineering lifecycle, from product strategy and design through implementation, testing, security, deployment, operations, and documentation.