Engineering Manager in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager based in Canada.

This role offers the opportunity to lead a talented engineering team building advanced AI-powered customer experience solutions.
You will guide a product engineering squad, helping engineers grow while creating the processes and environment needed for high-impact delivery.
The position combines people leadership, technical understanding, strategic decision-making, and a strong focus on customer outcomes.
You will collaborate with engineering leaders, product teams, and cross-functional partners to shape the future of AI-driven platforms.
This is a servant-leadership role where you will empower teams, improve engineering excellence, and drive predictable execution.
The ideal candidate is passionate about AI innovation, team development, and building scalable technology in a fast-moving environment.

The Engineering Manager will lead a product engineering team, focusing on developing people, improving delivery practices, and ensuring teams are aligned with business and customer goals. This role requires a balance of leadership, technical credibility, and organizational influence.

• Lead and support an engineering squad of approximately 8–15 engineers, creating an environment where team members can deliver their best work.
• Serve as a servant leader by coaching engineers, supporting career development, and helping individuals reach their full potential.
• Hire, develop, mentor, and retain high-performing engineering talent while maintaining a strong technical hiring standard.
• Own team planning, budget management, and headcount strategy to support organizational growth.
• Establish effective engineering processes, team norms, and delivery practices that promote speed, quality, and collaboration.
• Drive predictable delivery by helping teams prioritize impactful work, manage risks, and focus on customer outcomes.
• Encourage teams to take ownership of product solutions, ensuring engineering decisions remain connected to customer needs.
• Partner closely with Product, Delivery, and engineering leadership teams to align priorities and execution strategies.
• Promote AI-native engineering practices by helping teams leverage modern AI tools to improve productivity, quality, and innovation.
• Champion engineering excellence through strong testing practices, validation processes, developer experience improvements, and reliable production systems.
• Participate as a member of the engineering leadership team, contributing to decisions around hiring, career frameworks, technical standards, roadmap planning, and organizational design.
• Support a culture of transparency, accountability, constructive feedback, and continuous improvement.

The ideal candidate is an experienced engineering leader with a strong background in software development, team management, and modern AI technologies. They should be comfortable operating in a lean, remote environment while balancing technical depth with people-first leadership.

• 5+ years of experience managing software engineers or engineering teams.
• 10+ years of experience in a technical field such as software engineering.
• Proven track record of hiring, developing, and managing strong technical talent.
• Experience owning team budgets, workforce planning, and organizational growth initiatives.
• Demonstrated ability to deliver software products predictably while maintaining high quality standards.
• Strong technical understanding of system design, architecture tradeoffs, and engineering decision-making.
• Hands-on experience using modern AI tools in real-world workflows, with the ability to demonstrate practical AI applications.
• Ability to build trust and credibility with senior engineers while empowering them to own technical decisions.
• Experience partnering closely with Product, Operations, and other cross-functional teams.
• Strong communication skills with the ability to provide clear feedback, influence stakeholders, and drive alignment.

Preferred qualifications include:

• Experience with conversational AI, voice technology, machine learning systems, or real-time infrastructure.
• Experience building testing and validation approaches for AI-powered or nondeterministic systems.
• Background in fast-moving startups or lean engineering organizations.
• Experience with remote team leadership and distributed collaboration.
• Passion for AI innovation and continuous learning.

• Fully remote work environment across eligible locations.
• Competitive compensation package aligned with impact and experience.
• Equity ownership opportunity in a fast-growing AI company.
• Comprehensive health and wellness benefits.
• Flexible vacation policy.
• Paid sabbatical after five years.
• Physical and mental wellness stipend.
• Technology and learning stipend for conferences, courses, books, and professional development.
• Company-wide offsites and team gatherings to strengthen remote collaboration.
• Opportunity to influence engineering culture, processes, and product direction.