Software Development Manager

What the Role Does:

Lead software developers, shape technical direction, and turn business goals into reliable software delivery.

LawDepot is looking to recruit a Software Development Manager to lead the teams responsible for our contract platform and internal content management system (CMS) editor experience. This role combines technical leadership with people management. You will guide development decisions, strengthen engineering practices, and build teams that consistently deliver meaningful product and platform improvements. You will coach and support developers, set clear expectations, and create the conditions for strong execution.

Working closely with Product, UX, QA, Architecture, and other Information Systems leaders, you will align priorities, manage delivery, improve quality, and ensure the team’s work supports long-term business goals. You will also advance practical AI adoption by using AI tools in your own work, helping developers build effective AI-assisted workflows, and measuring how these practices improve delivery, software quality, and customer outcomes.

This is a full-time, permanent position working 37.5 hours per week, with the option to work hybrid from our Edmonton, Alberta office or fully remote across Canada.

What You’ll Do:

• Manage Software Developers and Scrum Masters to create technical solutions that deliver an exceptional experience for our millions of website users and our internal CMS platform team members

• Set clear expectations, coach team members, guide performance and career development, and build shared ownership of delivery and production quality

• Partner with Product Owners and stakeholders to develop high level strategy and deliver technical roadmaps

• Remove delivery obstacles and keep teams focused on high-impact, value-driven work

• Translate technical context, risks, dependencies, and trade-offs into clear business language for stakeholders and leaders

• Make architecture and technology selection decisions that align with business goals and long-term scalability

• Manage project schedules, scope, work estimates, dependencies, risks, and delivery commitments

• Identify and apply practical uses of AI across technical investigation, prototyping, code review, test case development, documentation, and delivery analysis to improve team efficiency, software quality, customer outcomes, and product capabilities

• Coach developers on effective AI-assisted engineering practices, including task decomposition, context preparation, output validation, and appropriate human review