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UL
UL, LLC
Director, Software Engineering & SaaS Platforms
Career Insights for Software Development / Engineering Manager
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Based on Illinois data
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What they do
A Software Development or Engineering Manager leads teams of software developers who design or improve computer software. Manages and oversees the software development process and directs the work of software engineers. May be primary contact with customers or users; may manage software development project budgets and hire or train staff.
$153,478 / year median in Illinois
Job Description
at UL, LLC in Northbrook, Illinois, United States Job Description The Director of Software Engineering provides strategic and operational leadership for software engineering teams responsible for designing, building, and scaling high quality software platforms and products. The role bridges business strategy and technical execution, ensuring engineering outcomes deliver customer value, operational excellence, and long term platform scalability. This leader sets technical direction, develops engineering talent, and partners closely with Product, Platform Engineering, Security, Data, and Business leaders to drive innovation and reliable delivery across portfolios. 1. Engineering & Technical Leadership + Define and drive the software engineering strategy and technical roadmap aligned with the Product Roadmap, business priorities and product vision. + Ensure adoption of engineering best practices across architecture, development, testing, CI/CD, security, and reliability. + Guide platform scalability, performance, and resilience across cloud and SaaS environments. + Evaluate and introduce new technologies where they create measurable business value (e.g., AI/ML, data platforms, automation). 2. Delivery & Execution + Own end-to-end delivery accountability for software initiatives, ensuring predictable execution, quality, and speed to market. + Partner with Product Management to translate business and customer needs into executable engineering plans. + Use AI to assist with product development and deployment of AI capabilities in our customer-facing solutions. + Establish and monitor KPIs and engineering metrics related to delivery, quality, reliability, and team health. + Ensure compliance with security, privacy, and regulatory standards across software products. 3. People & Organizational Leadership + Build, lead, and develop high-performing engineering managers and teams. + Set clear accountabilities, performance objectives, and growth paths for leaders and individual contributors. + Foster a culture of technical excellence, ownership, inclusion, and continuous improvement. + Support workforce planning, succession, and capability development aligned to future needs. 4. Cross-Functional & Stakeholder Partnership + Collaborate with Product, Architecture, Security, Data, Operations, and Business leaders (GMs) to align priorities and execution. + Communicate complex technical topics clearly to executive and non-technical stakeholders. + Represent Software Engineering in strategic planning, investment decisions, and governance forums Success Measures + Delivery predictability and product quality + Platform scalability and reliability + Engineering talent retention and growth + Alignment between engineering output and business outcomes Required Qualifications + Bachelor's degree in computer science, Engineering, or a related field (Master's preferred). + Extensive experience in software engineering, with multiple years in senior engineering leadership roles. + Proven success leading large-scale software platforms or SaaS products. + Strong understanding of modern software architectures, cloud platforms, DevOps practices, and secure development. + Demonstrated ability to lead through change and scale organizations. Preferred Experience + Experience leading AI-enabled, data-driven, or platform-centric software products. + Global or matrixed organizational leadership. + Budget ownership and investment prioritization. + Background in regulated or enterprise environments. Success Measures + Delivery predictability and product quality + Platform scalability and reliability + Engineering talent retention and growth + Alignment between engineering output and business outcomes