Director of Engineering - AI Control Tower

ServiceNow; Santa Clara (CA); Híbrido; USD 221.000 - 387.000; Jornada completa

Descripción de la vacante

ServiceNow seeks a Director of Engineering for the AI Control Tower to govern AI models, datasets, and agents across the enterprise. You will lead multi-product areas, shipping 1.0 and driving durable adoption in a fast-moving environment.

You will build and scale an engineering team, set AI-native standards, and collaborate with product, design, and partner teams to deliver coherent enterprise experiences at scale.

Formación

• 10+ years in software engineering with 4+ years leading engineering teams.
• Startup experience at a small company with 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, multi-tenant architectures, large-scale API design (REST/gRPC), Kubernetes orchestration, multi-cloud platforms (AWS, Azure, GCP), and IaC (Terraform, CloudFormation, Helm).
• Strong understanding of database schema design and data modeling for AI/enterprise workloads.

Responsabilidades

• Own the engineering roadmap for AICT product areas and translate product requirements into technical plans.
• Drive the arc from 1.0 release to meaningful customer adoption with fast iteration.
• Set AI-native engineering standards across development, reviews, and deployment.
• Recruit, develop, and retain a high-performing engineering team.
• Collaborate closely with Product, Design, and partner teams to ship coherent experiences.

Conocimientos

Cloud-native SaaS

API design (REST/gRPC)

Kubernetes

Multi-cloud platforms (AWS/Azure/GCP)

AI-native engineering

Data modeling

Team leadership

Startup experience

Code reviews & testing

Observability & monitoring

Educación

MS or PhD in Computer Science / AI

Herramientas

Terraform

CloudFormation

Helm

OpenAPI

MCP

Descripción del empleo

Director of Engineering - AI Control Tower

• Full-time
• Employee Type: Regular
• Region: AMS - North America and Canada
• Work Persona: Flexible

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

The Role

The AI Control Tower is ServiceNow's central hub for governing every AI model, agent, and dataset across the enterprise. We're building the infrastructure that enterprises will depend on as agentic AI moves from experiment to production — and we need a Director of Engineering who has been in that position before: shipping a 1.0 product, fighting for its first users, and figuring out how to turn early traction into durable adoption.

This isn't a role for someone who has managed mature systems. It's for someone who has built something from scratch — in a small, fast company where there was no playbook — and who is now ready to do it at the scale and ambition of ServiceNow. Reporting to the VP of Engineering, AICT, you will lead one or more product areas within the AICT platform, with scope and ownership evolving as the product and team grow.

You are AI-native. You don't just understand AI conceptually — you use it daily, you build with it, and you bring that instinct into how your team designs and ships.

What You Will Do

• Product Delivery & Roadmap ExecutionOwn the engineering roadmap for your AICT product areas — translating product requirements into technical plans, managing delivery across a focused engineering team, and maintaining the velocity needed to meet the demands of a fast-moving market. You have done this before and know the difference between motion and progress.
• 1.0 to AdoptionDrive the full arc from early release to meaningful customer adoption. You understand that shipping a 1.0 is only half the job — the other half is learning fast, iterating based on what real customers do (not what they say), and building the feedback loops that compound adoption over time.
• AI-Native EngineeringSet the standard for how your team uses AI in its own development practice — from AI-assisted code review and testing to designing platform features that assume AI agents are first-class users. You lead by example: your team should see you using AI tools as fluently as you use a terminal.
• Team BuildingRecruit, develop, and retain a high-performing engineering team. You are a strong technical voice who can also grow engineers — you give clear feedback, create stretch opportunities, and build the kind of team culture that makes people want to stay and do their best work.
• Cross-Functional ExecutionWork closely with Product Management, Design, and partner engineering teams toaligndependencies and ship coherent experiences. Represent engineering in planning and review forums with senior leadership.

Required

• 10+ years in software engineering with 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, where you were hands‑on building and shipping a product — not just working at a startup, but building one
• Proven experience driving adoption of a 1.0 or early-stage product: you have the scars from a launch that didn't go perfectly and the wins from figuring out how to turn it around
• Deep technical foundation in cloud-native SaaS, including multi-tenant architectures, large-scale API design (REST/gRPC), Kubernetes orchestration, multi-cloud platforms (AWS, Azure, GCP), Infrastructure as Code (Terraform, CloudFormation, Helm)
• Strong understanding of database schema design, data modeling, and modern data platforms, including relational, graph, vector, columnar, OLAP, and streaming data architectures, with the ability to design scalable data models for AI and enterprise workloads.
• database schema design, , data modeling, and event-driven architectures.
• AI-Native Engineering: Lead the adoption of AI across the entire engineering lifecycle—from product strategy, PRDs, UX, architecture, implementation, code reviews, debugging, testing, security, CI/CD, deployment, observability, APM, operations, and documentation—to improve engineering productivity, software quality, reliability, customer experience, and delivery velocity.
• Ability to operate at both the architectural level and the pull request level when it matters
• Track record of building and retaining engineering teams, including in competitive talent markets

Preferred

• Experience building governance, observability, or compliance products — you understand why enterprises care about auditability and have designed for it
• Familiarity with agentic frameworks and the operational realities of running agents in production (tool reliability, context management, 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

For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third‑party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [e-mail] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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