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Director of Engineering AI Control Tower

ServiceNow


Job Location:

Santa Clara County, CA - USA

Monthly Salary: Not provided by the employer
Posted: 31 July 2026 (30+ days ago)
Application Deadline: 28 October 2026
Vacancies: 1 Vacancy

Job Summary

The Role 

The AI Control Tower is ServiceNows central hub for governing every AI model agent and dataset across the enterprise. Were 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 isnt a role for someone who has managed mature systems. Its 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 dont 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 Execution Own 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 Adoption Drive 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 Engineering Set 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 Building Recruit 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 Execution Work closely 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. 


Qualifications :

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 didnt 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 lifecyclefrom product strategy PRDs UX architecture implementation code reviews debugging testing security CI/CD deployment observability APM operations and documentationto 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 $221200 - $387100 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.


Additional Information :

Work Personas

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 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 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. 

From Fortune. 2026 Fortune Media IP Limited. All rights reserved. Used under license.


Remote Work :

No


Employment Type :

Full-time


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