We are a Canadian leader in digital automotive solutions. help Canadians buy, sell, and finance vehicles with confidence. is Canada’s largest automotive marketplace, with over we provide software solutions to streamlining their operations, marketing, and sales. is the country’s top automotive financing portal, processing more than 6.5 million credit applications Collateral Management (CMS ) is a national tech solution that boosts lien and registration management Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. Join us on our journey as we bring together the best of Europe and North America to shape the future of automotive retail. AutoSync builds software that helps automotive dealerships simplify operations, improve marketing, and drive sales. We are looking for an Engineering Manager to lead the full-stack engineering team responsible for our Activix (CRM) Platform and related services. Working closely with Product and other partners, you will give engineers clear direction, meaningful ownership, and the support to build reliable software that solves customer problems. You will combine people leadership with hands‑on technical credibility and strong delivery management. You can guide engineers through design, review, and troubleshooting while building a team that makes sound decisions and delivers independently. When a commitment is at risk, elevate early with options, a recommendation, and the support or decision needed to move forward. Set clear expectations, provide regular feedback, and support engineers through career development and performance conversations. Hire and onboard thoughtfully, address performance concerns early and fairly, and build an inclusive team where people can raise concerns, challenge ideas, and learn from mistakes.



Plan and manage delivery. Partner with Product, UX, Data, and adjacent teams to define outcomes, scope, priorities, and acceptance criteria. Apply practical Scrum Master and project management

skills:
facilitate useful ceremonies, assess capacity, plan milestones, track progress, manage dependencies and risks, and report status and forecasts clearly. Agree on changes to scope or timing early and review customer outcomes and production performance after release. Use retrospectives to address recurring delivery problems and protect time for technical improvement, mentoring, and learning. Build predictability through better planning and execution while maintaining a sustainable pace. Provide credible technical leadership. Balance delivery speed with maintainability, performance, and security while developing shared ownership and engineering judgment. Investigate technical and delivery problems, test assumptions, and explore workable alternatives. Bring options with clear trade‑offs and a recommendation, test promising approaches, and turn what the team learns into practical improvements. Establish clear service ownership and standards for testing, observability, accessibility, security, privacy, and release readiness. Define practical service‑level objectives, support incident response, and translate lessons from incidents and technical debt assessments into prioritized improvements.



Lead practical AI adoption. Help engineers use AI tools and agents across discovery, implementation, testing, review, and documentation. Use customer outcomes, delivery flow, software quality, reliability, and team health to guide improvements. Evaluate AI workflows by their effects on quality, rework, and sustainable delivery. At least five years of engineering leadership experience, with evidence of developing people, building effective teams, and delivering software products. Experience with hiring, coaching, career development, and constructive performance management. Hands‑on technical credibility. A strong software engineering background and experience building and operating scalable, public‑facing web applications. Scrum and project delivery. Practical experience combining Scrum Master responsibilities with project management

skills:
planning, capacity assessment, milestone tracking, dependency and risk management, delivery reporting, and stakeholder communication. You can show how you have helped teams get delivery back on track when plans changed and how you connect engineering work to customer outcomes. Examples of investigating unfamiliar problems, considering creative alternatives, and recommending a workable path. Practical AI experience. Experience using AI‑assisted engineering workflows and helping others adopt them effectively. You can explain how you evaluate output, manage risks, and determine whether a workflow improves delivery and quality. Clear communication, empathetic coaching, and the ability to build trust, handle difficult conversations, and create accountability across different perspectives and working styles. Technical

skills:
The role requires hands‑

📌 Software Engineering Development Manager (Canada)
🏢 AutoTrader.ca
📍 Canada