Director, Software Engineering Management

Qualifications

• 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 high performance culture within in a team of senior engineers without compromising wellbeing.
• 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.
• Strong experience with AI-powered products, AI-assisted workflows, and the extensive use of AI in the SDLC.
• Join as a founding Director-level engineering leader on a net-new product, at a stage where product, team composition, and engineering culture are still being actively defined.
• Operate with significant autonomy over technical direction and team-building decisions.
• Build with modern, cloud-native tooling and patterns, unconstrained by existing platform conventions.
• Work on a product with real urgency and a near-term launch target, where your decisions have immediate, visible impact rather than being one layer removed from outcomes.
• Get the best of both worlds: the speed and ownership of an early-stage build, with the backing, resources, and distribution of ServiceNow.
• Partner directly with a small, senior technical team to define how AI agents, automation, and human workflows come together with the freedom to make foundational calls that will shape the product for years.