Senior Director, AI Platform Engineering Management

ServiceNow · Santa Clara, California, United States

  • Senior
  • Full-time
  • $254,500 – $445,400
  • Posted 2026-11-10
  • Confirmed live on 10 November 2026

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Job description

Job Description
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 enterprises will depend on as agentic AI moves from experimentation into production.
We are looking for a Senior Director of Engineering who combines the instincts of a startup builder with the leadership experience required to scale products, teams, and organizations. You have built products from zero to one, navigated the uncertainty of early customer adoption, and then created the engineering organization, architecture, and operating model required to scale.
This is not simply a role for someone who has managed mature platforms. We are looking for a leader who has built something from scratch, ideally in an environment where there was no established playbook, and who can bring that entrepreneurial mindset to the scale and ambition of ServiceNow.
Reporting to the VP of Engineering, AICT, you will lead multiple engineering teams and product areas across the AI Control Tower platform. You will help define the technical strategy, organizational structure, engineering culture, and execution model as the platform and organization grow.
You are AI-native. You do not just understand AI conceptually. You use it, build with it, and understand how AI changes product architecture, engineering workflows, developer productivity, and the expectations customers have for enterprise software.
What You Will Do
Engineering Strategy & Organizational Leadership

Own engineering strategy across multiple AICT product areas, translating the broader product vision into technical priorities, organizational investments, and execution plans. Partner with VP-level Product and Engineering leadership to determine where to invest, what to simplify, and how the platform should evolve as customer adoption accelerates.
Zero-to-One and Scaling to Adoption

Lead the full journey from initial product creation through meaningful enterprise adoption and scale. Establish feedback loops between customers, Product, Engineering, and Design so teams can quickly identify what is working, change what is not, and turn early customer traction into durable adoption.
Technical Leadership & Architecture

Provide senior technical leadership across architecture, platform strategy, data architecture, APIs, reliability, security, and operational scale. Establish architectural principles that allow multiple teams to move quickly without creating long-term platform fragmentation or technical debt. Stay close enough to the technology to challenge assumptions, review critical architectural decisions, and engage deeply when the situation requires it.
AI-Native Engineering

Set the strategy and expectations for how AI is used across the engineering organization. Drive adoption of AI throughout product definition, architecture, implementation, code review, debugging, testing, security, CI/CD, observability, operations, and documentation. Create measurable improvements in engineering productivity, software quality, reliability, customer experience, and delivery velocity.
Organization Building & Talent Leadership

Build and scale a high-performing engineering organization, including hiring and developing senior engineering managers, architects, technical leaders, and engineers. Create strong leadership succession, raise the technical bar, and establish a culture of accountability, experimentation, customer obsession, and continuous learning.
Portfolio & Roadmap Execution

Own execution across multiple teams and interconnected initiatives. Create mechanisms for prioritization, dependency management, technical decision-making, and delivery while ensuring teams remain responsive to a rapidly evolving AI market.
Cross-Functional & Executive Leadership

Partner closely with Product Management, Design, Security, Data, Infrastructure, and other engineering organizations. Represent AICT engineering in executive planning, architecture, investment, and product reviews. Communicate complex technical and organizational decisions clearly to senior leaders and influence priorities across organizational boundaries.
Customer & Market Leadership

Engage with strategic customers and field teams to understand how enterprises are deploying and governing AI in production. Translate customer problems into platform capabilities and use direct customer feedback to shape technical and product strategy.

Qualifications
Required

• 15+ years of software engineering experience, including significant experience leading large, complex engineering organizations and managing managers and senior technical leaders

• Proven experience operating at the Director or Senior Director level, or equivalent scope, with accountability across multiple engineering teams or product areas

• Demonstrable startup or zero-to-one experience where you personally helped build, launch, and scale a new product or platform, ideally in an organiza

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