Director Software Engineering Management

ServiceNow•Toronto, ON

3d•CA$183,600 - CA$321,300•Hybrid

About The Position

The engineering organization is a dynamic group of builders, thinkers, and problem-solvers focused on delivering scalable, AI-powered software products that improve how organizations work. 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. The Service Operations Business Unit brings together IT Service Management (ITSM), IT Operations Management (ITOM), and CMDB capabilities on the ServiceNow Platform. This product engineering organization builds the software that helps customers deliver resilient, intelligent, and efficient enterprise services. The Service Operations product portfolio connects incident, request, fulfillment, infrastructure visibility, service mapping, trusted configuration data, automation, and AIOps into a unified operating model. By combining service delivery with operational intelligence and trusted operational context, these products help customers move toward proactive, AI-assisted, and increasingly self-healing operations at enterprise scale. Together, these capabilities help customers modernize how they deliver and operate services, improve reliability, reduce manual effort, and drive measurable productivity outcomes on a single platform.

Requirements

15+ years of related engineering experience, including 5+ years leading and managing engineering teams (including managers or team leads), or equivalent practical experience.
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.
Strong technical depth in Java, Python, or similar programming languages.
Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans.
Demonstrated success hiring, developing, and retaining engineers and engineering leaders, and managing performance, career growth, and team health.
Ability to lead through formal authority and technical credibility alike, building alignment across peer engineering, Product, Design, Security, Operations, Sales, and Customer Success organizations.
Strong judgment in balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities.
Experience mentoring senior engineers, raising engineering standards, and building reusable patterns that create leverage across teams.
Ability to reason about AI-assisted enterprise workflows, including data quality, workflow correctness, evaluation, observability, safety controls, and human-in-the-loop review.

Nice To Haves

Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems is strongly preferred.
Experience with enterprise service management, IT operations, CMDB, discovery, service mapping, AIOps, observability, workflow automation, endpoint management, or operational intelligence is a strong plus.
Experience working with large-scale enterprise customers, production systems, and complex migration or modernization efforts is a plus.

Responsibilities

Lead and grow the engineering teams responsible for assigned problem areas within ITSM/ITOM products, working with product and engineering leaders to understand blockers and opportunities around AI-native evolution and value realization.
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.
Drive evidence-based decision-making: formulate hypotheses, run experiments, measure outcomes, and use data to guide architectural decisions and product direction.
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.
Identify and address value realization gaps in agentic products that exist but aren’t delivering expected outcomes. Diagnose root causes (architecture, UX, data quality, feedback loops, cost) and direct targeted improvements.
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 ITSM/ITOM engineering teams to share learnings, validate approaches, and accelerate adoption of patterns that work.
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.