Software Engineering Manager

We are a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.Ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. AutoTrader.Ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing, and sales. Dealertrack Canada is the country’s top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management (CMS ) is a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian Lenders As part of AutoScout24 group, 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.Role: Engineering Manager
Team: Activix CRM
Location: Toronto, ON
The opportunity:
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. You will lead with ownership: turn priorities into action, remove blockers, and follow through until work delivers its intended result. 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.What you will do:
Take ownership and get things done. Turn ambiguous goals into practical next steps, agree on clear ownership, and actively resolve blockers. Track actions through to completion. When a commitment is at risk, elevate early with options, a recommendation, and the support or decision needed to move forward. Lead and develop people. 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 skill: 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. Build sustainable ways of working. Match work in progress to engineering and review capacity, complexity, and production duties. 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. Understand the application architecture, code, integrations, and infrastructure well enough to guide engineers and challenge assumptions. Participate in design and code reviews, investigate difficult issues, and provide hands‑on support when needed to unblock progress. Balance delivery speed with maintainability, performance, and security while developing shared ownership and engineering judgment. Solve problems with curiosity and creativity. 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. Own engineering and operational health. Establish clear service ownership and standards for testing, observability, accessibility, security, privacy, and release readiness. Define useful 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. Establish clear context, constraints, and acceptance criteria;
define where automation, human review, or escalation is appropriate. Require validation, independent engineering review, and accountable human decisions on merges and releases. Improve team effectiveness. 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. Share reusable guidance and support people as tools and responsibilities change.What you will bring:
Engineering leadership. 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. Ownership and follow‑through. Examples of personally moving difficult work forward: resolving blockers, making decisions within your authority, coordinating others, and completing agreed actions. You raise concerns early with practical options and proposed solutions, take responsibility for commitments, and communicate clearly when plans must change. Hands‑on technical credibility. A strong software engineering background and experience building and operating scalable, public‑facing web applications. You can explain architecture and code‑level trade‑offs, guide eng
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