Engineering Manager

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. Accountabilities 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. Requirements 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. Benefits 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. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lead a product engineering squad of 8-15 engineers to build AI-powered customer experience solutions. Focus on people development, improving delivery practices, and aligning engineering execution with business and customer goals.

Requires over 10 years of technical experience and at least 5 years of experience managing software engineering teams. Candidates must demonstrate a track record of hiring talent, managing budgets, and practical experience with modern AI tools.

• Fully remote work environment • Competitive compensation package • Equity ownership • Comprehensive health and wellness benefits • Flexible vacation policy • Paid sabbatical after five years • Physical and mental wellness stipend • Technology and learning stipend • Company-wide offsites and team gatherings

• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Engineering Management
• People Leadership
• AI-Powered Solutions
• System Design
• Software Architecture
• Technical Hiring
• Budget Management
• Workforce Planning
• Agile Delivery
• Conversational AI
• Machine Learning
• Real-time Infrastructure
• Stakeholder Management
• Coaching and Mentoring
• Strategic Decision-making
• Engineering Excellence

• Management & Leadership
• Software
• Engineering
• Technology
• Data & Analytics

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte