Director, Software Engineering

• Lead and develop engineering managers, technical leads, developers, and QA professionals.
• Build a culture of ownership, accountability, collaboration, and continuous improvement.
• Coach managers and emerging leaders and create opportunities for engineers to grow.
• Establish clear expectations while creating an environment where teams raise risks and problems early.
• Recruit, retain, and develop strong engineering talent.

• Own engineering delivery across assigned product lines, including enhancements, defects, customer commitments, and technical initiatives.
• Improve predictability, quality, release readiness, and engineering execution.
• Work with teams to identify risks, dependencies, and obstacles before they affect customer commitments.
• Support customer implementations, go-lives, production issues, and escalations when engineering leadership is needed.
• Balance new product capabilities, customer needs, technical debt, and long-term platform investments.

• Provide technical direction and help teams make sound architecture and engineering decisions.
• Guide modernization of mature enterprise applications while balancing innovation with customer and business needs.
• Promote maintainable software, effective testing, observability, security, and sustainable engineering practices.
• Ensure technical debt is understood, prioritized, and actively managed.
• Stay close enough to the technology to effectively challenge, support, and guide engineering teams without becoming a bottleneck for technical decisions.

• Champion practical adoption of AI throughout the software development lifecycle.
• Help teams use AI as a force multiplier for development, testing, analysis, documentation, and problem solving.
• Encourage experimentation while establishing appropriate expectations for quality, security, review, and accountability.
• Identify opportunities to use AI to improve both engineering productivity and our products.

• Partner closely with Product Management and Professional Services to establish priorities and deliver customer outcomes.
• Communicate status, risks, tradeoffs, and recommendations clearly to business and technical leaders.
• Participate in customer conversations and escalations when engineering leadership is needed.
• Build trust between Engineering and the teams that depend on it.

• Significant software engineering experience with progressive leadership responsibility.
• Experience leading engineering teams and developing managers, technical leads, and senior engineers.
• Strong technical foundation with the ability to understand architecture, software design, data, APIs, cloud technologies, and modern development practices.
• Experience delivering and supporting complex enterprise software.
• Experience balancing product development, customer commitments, technical debt, and modernization.
• Demonstrated ability to improve engineering quality, execution, and predictability.
• Experience leading teams through change and modernization.
• Strong understanding of modern software engineering practices, including testing, security, CI/CD, observability, and cloud technologies.
• Practical understanding of AI-assisted software development and an interest in expanding its effective use.
• Strong written and verbal communication skills.
• Ability to work effectively with executives, customers, Product Management, Professional Services, and engineering teams.

• Experience with enterprise SaaS or complex business applications.
• Experience modernizing mature or legacy software platforms.
• Experience with Microsoft technologies, particularly .NET, SQL Server, and Azure.
• Experience with distributed systems, APIs, cloud architecture, and modern integration patterns.
• Experience working with geographically distributed engineering teams.
• Experience in government technology, property tax, assessment, financial systems, or another complex regulated domain.

• Engineering teams deliver high-quality software with greater predictability.
• Managers and technical leaders take ownership and make effective decisions without unnecessary escalation.
• Risks and problems are surfaced early rather than hidden until they become emergencies.
• Product, Professional Services, and Engineering operate as partners with clear ownership and expectations.
• Technical debt and modernization are addressed deliberately alongside customer and product priorities.
• AI becomes a practical part of how engineering teams work and produces measurable improvements.
• Engineers are growing, engaged, and accountable.
• Customers and internal stakeholders view Engineering as a responsive and trusted partner.

Salary range: $135,000 - $145,000 USD per year.