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Director of Engineering - AI Control Tower

Raytion GmbH·$221,200 – $387,100

Primary stack

SaaSAPIKubernetesAI

Nice to have's

ComplianceOpenAPIAI

Job description

About the Position

Director of Engineering - AI Control Tower

ServiceNow is seeking a Director of Engineering for its AI Control Tower to lead the development of AI infrastructure at scale. This role is pivotal in building the backbone for AI models, agents, and datasets across the enterprise. 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.

Responsibilities

  • 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.
  • 1.0 to Adoption: Drive the full arc from early release to meaningful customer adoption. Understand that shipping a 1.0 is only half the job - the other half is learning fast, iterating based on what real customers do, 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.
  • Team Building: Recruit, develop, and retain a high-performing engineering team. Provide 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.

Requirements

  • 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
    • 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 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
    • 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
    • Familiarity with agentic frameworks and the operational realities of running agents in production
    • 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

We Offer

  • Base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation, and benefits
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP, matching donations
  • Flexible time away plan and family leave programs

About the Company

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.

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 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 [email protected] 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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