Engineering Manager

Jobgether; Canada; Remoto; CAD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work from Canada

Flexible PTO

Laptop + home workspace stipend

Monthly technology stipend

Inclusive workplace

Accessibility accommodations

Descrizione del lavoro

Jobgether, on behalf of a partner company, seeks an Engineering Manager in Canada to lead a cross-functional team of four to seven engineers. You will own people development, hiring, delivery, and engineering processes while partnering with product to balance roadmap priorities with technical health.

This role emphasizes advancing AI-powered, agentic development practices, maintaining code quality, and reliable production.

Competenze

• 3+ years managing software engineers who formally reported to you
• 5+ years hands-on professional software development experience
• Demonstrated fluency with AI coding agents and practical examples
• Experience driving AI-powered development workflows
• Proven coaching and performance management abilities
• Delivery ownership from planning to production
• Establishing sustainable quality practices and tests
• Product collaboration to balance business needs with technical considerations
• Excellent written and spoken English (C1)

Mansioni

• Lead and develop the team through coaching, feedback, and career development
• Own end-to-end delivery, plan work, remove blockers, and ensure predictable releases
• Partner daily with product management to align on priorities and health
• Advance agentic engineering practices and AI workflows across teams
• Maintain technical involvement through code review and judgment
• Hire and retain talent through structured processes
• Champion developer-owned testing and quality controls
• Use delivery and quality metrics to drive improvements
• Encourage continuous improvement and knowledge sharing

Conoscenze

People management

Software development

AI coding agent expertise

Agentic workflow leadership

Coaching & performance management

Delivery ownership

Engineering quality leadership

Product collaboration

Communication (English)

Strumenti

TypeScript

Node.js

React

Rust

AWS

Descrizione del lavoro

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

Lead a cross-functional engineering team building technology that powers modern delivery and logistics operations.
In this role, you will manage a team of four to seven engineers, taking ownership of people development, hiring, delivery, and engineering processes.
You will partner closely with product management to balance roadmap priorities, technical health, and reliable execution.
A key focus will be advancing AI-powered, agentic software development practices while maintaining high standards for code quality, testing, and production reliability.
You will use meaningful delivery and quality metrics to identify bottlenecks, guide coaching, and continuously improve team performance.
This opportunity is ideal for a technically experienced leader who empowers engineers, encourages constructive challenge, and builds a culture of accountability and continuous learning.
The position is remote, with regular working hours aligned with US Pacific Time.

Accountabilities

As Engineering Manager, you will lead the team's people, technical execution, and delivery practices while remaining hands-on without becoming a bottleneck. You will work closely with engineers and product partners to ensure predictable delivery, continuous improvement, and high-quality releases.

• Lead and develop the team: Manage four to seven engineers through regular one-on-ones, honest feedback, career development, performance reviews, and timely, fair action when challenges arise.

• Own end-to-end delivery: Plan work with the team, make commitments visible, remove blockers, monitor progress, and represent engineering in planning and product meetings.

• Partner with product management: Collaborate daily with the product manager to prioritize initiatives and balance roadmap commitments against technical health and long-term maintainability.

• Advance agentic engineering practices: Coach engineers on planning, directing, reviewing, and verifying work produced by AI coding agents. Improve workflows as tools evolve and share effective practices across teams.

• Maintain technical involvement: Use AI agents in your own development work, review pull requests, and maintain strong technical judgment without making delivery dependent on your personal coding output.

• Hire and retain talent: Lead structured hiring processes, identify strong candidates, and support the continued growth and development of existing team members.

• Champion engineering quality: Establish and reinforce developer-owned testing and quality controls. Ensure flaky tests are treated as failures and that teams take responsibility for the quality of the features they deliver.

• Use data to improve performance: Monitor delivery and quality metrics to identify bottlenecks, inform coaching, and guide process changes while considering team context and individual circumstances.

• Encourage continuous improvement: Create an environment where engineers can challenge existing practices, contribute ideas, and help shape the team's engineering workflows.

Requirements

The ideal candidate combines substantial hands‑on software development experience with proven people management, delivery ownership, and practical expertise in AI-assisted engineering. You should be comfortable leading an international team, making informed decisions, and maintaining high standards through coaching and clear processes.

• People management experience: At least three years managing software engineers who formally reported to you, including responsibility for hiring, one-on-ones, performance reviews, and performance decisions. Technical leadership or coordination without direct reporting responsibility does not meet this requirement.

• Software development experience: At least five years of hands‑on professional software development experience before or alongside management responsibilities.

• AI coding agent expertise: Demonstrated, fluent daily use of AI coding agents, supported by practical examples such as custom orchestration workflows, agents, skills, or substantial customization of an existing team setup.

• Agentic workflow leadership: Experience actively driving team adoption of AI-powered development workflows, rather than simply allowing engineers to use these tools.

• Coaching and performance management: A proven ability to develop engineers through career growth and difficult situations, including addressing underperformance early and fairly.

• Delivery ownership: Experience managing software delivery from planning through production, taking accountability for commitments, and identifying and resolving delivery bottlenecks.

• Engineering quality leadership: Evidence of establishing sustainable quality practices, including developer-owned testing and reliable quality gates. Examples may include fewer escaped defects, improved production observability, fewer incidents, or practices that continued after your departure.

• Product collaboration: Experience partnering closely with product management to make prioritization decisions and balance business needs with technical considerations.

• Communication skills: Excellent written and spoken English, approximately C1 level, and experience collaborating daily within an international team.

• Additional experience valued: Experience in roles such as software developer, SDET, QA analyst, manual tester, or Scrum Master; leading agile ceremonies; improving team delivery practices; managing remote teams across time zones; or working in logistics, delivery, or marketplace environments.

• Technical familiarity: Experience with technologies in the team's ecosystem, including TypeScript, Node.js, React, Rust, and AWS, is advantageous.

• Quality practices: Familiarity with developer-owned testing, test-driven development, refactoring, and production observability is a plus.

• Location and schedule: Based in Canada and able to work reliably on a schedule that frequently overlaps with US Pacific business hours, typically 9 a.m. to 5 p.m. Pacific Time.

Benefits

• Competitive compensation: For candidates based in Canada, the annual base salary range is CAD 140,000-190,000, with placement depending on experience and qualifications.

• Remote work: Work remotely from Canada.

• Flexible paid time off: Access flexible PTO to support personal needs and work-life balance.

• Work-from-home support: Receive a laptop and a stipend to help set up your home workspace.

• Monthly technology stipends: Receive support for internet expenses and AI development tools.

• Inclusive workplace: Join an environment committed to equal opportunity, diverse perspectives, and fair employment practices.

• Accessibility support: Accommodations are available throughout the recruitment process, including for identity verification and camera requirements.