Director, Software Engineering Management

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 engineering organization is a dynamic group of builders, thinkers, and problem-solvers focused on delivering scalable, AI-powered software products that improve how IT organizations function and deliver value. We value clean architecture, intuitive experiences, operational excellence, and a culture of continuous improvement. Every engineer plays an important role in shaping the quality, reliability, and long-term success of our products.

You'll join a small, founding engineering team building a new product from the ground up with the mandate and latitude to make foundational decisions on architecture, stack, and engineering practices. This is a rare setup: startup-level speed, ownership, and blank-canvas building, backed by the distribution, resources, and scale of ServiceNow. The team is still small and early-stage today, which means the Director hired into this role will have outsized influence over how the engineering org is shaped from here — team structure, technical standards, and culture included. Responsibilities include: Collaborate with stakeholders across Product, Design, Security, Operations, Sales, and Customer Success — aligning on roadmap and release readiness, meeting security and compliance requirements, and feeding field and customer signal back into engineering priorities. Own technical strategy and delivery for your teams. Set architectural direction, hold the bar on quality and reliability, and stay close enough to the work to validate hypotheses through evidence, not theory. Hire, coach, and develop engineers, tech leads, and managers. Build inclusive, high-performing teams with clear career paths and durable ownership. Lead the evolution of current solutions toward AI-native capabilities, identifying where agentic patterns, data utilization, or autonomous workflows can unlock customer value, and translate those recommendations into staffed, executable work. Establish architecture patterns, engineering standards, and operating rhythms specific to your problem domain. Document tradeoffs, rationale, and implementation guidance to help teams move faster and make consistent decisions. Collaborate across the broader org to share learnings, validate approaches, and accelerate adoption of patterns that work.

To be successful in this role, you have: 15+ years of related engineering experience, including 7+ years leading and managing engineering teams for a product at scale. A significant portion of the experience should be in startups building 0-1 products, taking them to market, and rapidly scaling users using PLG motions and experiments. Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, data-intensive products, integration frameworks, or cloud-scale infrastructure. Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness. Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans. Demonstrated success in building a