SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: CAD 100,000 - 200,000 / annual
ServiceNow is seeking a Director of Software Engineering Management to lead a founding engineering team building a new AI-native product from the ground up. This is a rare opportunity combining startup-level speed, ownership, and blank-canvas building with the distribution, resources, and scale of ServiceNow.
You will have outsized influence over how the engineering organization is shaped—including team structure, technical standards, and culture. The team is currently small and early-stage, with a near-term launch target and real urgency.
Key Responsibilities:
- Collaborate with stakeholders across Product, Design, Security, Operations, Sales, and Customer Success to align on roadmap, release readiness, security/compliance requirements, and customer signal integration into engineering priorities.
- Own technical strategy and delivery for your teams. Set architectural direction, maintain quality and reliability standards, and validate hypotheses through evidence.
- 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 solutions toward AI-native capabilities, identifying where agentic patterns, data utilization, or autonomous workflows unlock customer value, and translate recommendations into executable work.
- Establish architecture patterns, engineering standards, and operating rhythms specific to your problem domain. Document tradeoffs and rationale to accelerate team velocity.
- Collaborate across the broader organization to share learnings, validate approaches, and accelerate adoption of effective patterns.
You will operate with significant autonomy over technical direction and team-building decisions, build with modern cloud-native tooling unconstrained by existing platform conventions, and partner directly with a small senior technical team to define how AI agents, automation, and human workflows integrate.
Requirements:
- 15+ years of related engineering experience, including 7+ years leading and managing engineering teams for a product at scale
- Significant experience 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 building high-performance culture within senior engineering teams without compromising wellbeing
- Ability to lead through formal authority and technical credibility, building alignment across peer engineering, Product, Design, Security, Operations, Sales, and Customer Success organizations
- Strong judgment balancing long-term architecture with pragmatic execution, customer impact, engineering velocity, and business priorities
- Strong experience with AI-powered products, AI-assisted workflows, and extensive use of AI in the SDLC
