Engineering Manager, Customer Trust

Jobgether SRL; Canada; Remote; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Healthcare coverage

Pension contributions

Parental leave

Remote work stipend

Flexible hours

Paid vacation

Sick leave

Job summary

Jobgether SRL in Canada is seeking an Engineering Manager, Customer Trust to lead two engineering squads totaling about 11 engineers. You will drive execution on security-automation and transparent trust communications, partnering with product and design to set priorities and ensure high-quality delivery.

This remote leadership role emphasizes architectural involvement, team development, and close collaboration across engineering, product, and AI platform teams to deliver scalable customer-trust

Qualifications

• 2+ years of full-time engineering management experience (teams 6–8+)
• Demonstrated execution leadership with disciplined delivery practices
• Mentoring and developing senior engineers
• Experience leading customer-facing software teams
• Strong technical judgment and architecture involvement
• Ability to shape product direction and technical strategy

Responsibilities

• Lead two engineering squads (~11 engineers) toward defined roadmaps
• Establish high-accountability culture with weekly goals and reviews
• Shape product direction with product/design leaders
• Provide architectural guidance without coding everything
• Develop and retain engineers, grow senior ICs
• Collaborate cross-functionally with GTM, AI platform, and product partners
• Contribute to scalable engineering practices and processes
• Promote responsible AI usage across engineering workflows

Skills

Engineering mgmt

Execution leadership

People leadership

Product engineering

Technical judgment

Strategy & PM alignment

Decision-making

AI fluency

Communication

Leadership mindset

Job description

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, Customer Trust based in Canada. This full-time, remote leadership role sits within a high-visibility product area focused on helping organizations build and demonstrate customer trust. You’ll lead two engineering squads with a combined team of 11 engineers, overseeing products that automate security assessments and enable transparent trust communication. The role is strongly execution-oriented, with established product-market fit and clear roadmaps that require disciplined, high-quality delivery. You’ll partner closely with product and design to shape priorities, make tradeoffs, and ensure engineering plays an active role in product decisions. You’ll remain technically engaged through architecture discussions, technical specifications, and engineering decision-making without being expected to write all the code yourself. Beyond delivery, you’ll develop and retain high-performing engineers while helping strengthen engineering practices and culture across the organization. This opportunity is ideal for an experienced engineering manager who combines strong execution, technical judgment, product thinking, and a passion for using AI to improve how teams work.

Accountabilities

• Lead engineering squads: Manage two engineering squads and guide approximately 11 engineers toward consistent, sustainable delivery against clearly defined product roadmaps.
• Drive execution: Establish a high-accountability, high-ownership culture through practices such as weekly goal tracking, technical specification reviews, proactive project visibility, and strong timeline management.
• Shape product direction: Partner closely with product and design leaders to define priorities, evaluate tradeoffs, and ensure engineering contributes meaningfully to decisions about what gets built and why.
• Provide technical leadership: Engage in architecture discussions, critically review technical specifications, and guide engineers toward sound technical decisions without needing to personally implement every solution.
• Develop engineering talent: Attract, develop, support, and retain strong engineers, with particular emphasis on managing and growing senior individual contributors.
• Collaborate cross-functionally: Work with go-to-market teams, AI platform specialists, product partners, and other stakeholders to identify opportunities, remove blockers, and deliver meaningful business outcomes.
• Build scalable engineering practices: Contribute to the organization's engineering culture by helping establish processes, norms, and practices that support sustainable growth and effective collaboration.
• Advance AI-enabled engineering: Encourage practical and responsible use of AI across engineering workflows to improve productivity, quality, and outcomes.

Requirements

• Engineering management experience: At least 2 years of full-time experience managing engineering teams, ideally with teams of 6–8 or more engineers.
• Execution leadership: Demonstrated success leading high-execution teams with disciplined delivery practices, including technical specification reviews, weekly goal tracking, project visibility, and timeline accountability.
• People leadership: Proven experience managing, mentoring, and developing senior individual contributors and creating an environment where engineers can perform at their best.
• Product engineering background: Experience leading teams that build customer-facing software, rather than primarily infrastructure or platform-focused products.
• Technical expertise: Strong technical judgment and comfort participating in architecture discussions, reviewing technical specifications, and making informed engineering tradeoffs.
• Product and technical strategy: Ability to shape product direction and long-term technical strategy in close partnership with product management.
• Decision-making: Strong judgment and decision-making skills, with the ability to balance ambiguity, available data, speed, quality, and business priorities.
• AI fluency: Regularly uses AI in day-to-day work to amplify capabilities and improve outcomes, while actively developing AI fluency through experimentation and applying sound judgment to maintain a high quality standard.
• Communication and collaboration: Strong interpersonal skills and the ability to work effectively across engineering, product, design, go-to-market, and other business functions.
• Leadership mindset: Ability to foster a culture of ownership, accountability, collaboration, continuous improvement, and sustainable performance.

Benefits

• Competitive compensation: Industry-competitive salary and equity package.
• Healthcare coverage: 100% employer-covered medical, dental, and vision benefits, including coverage for dependents.
• Pension contribution: Employer pension contributions to support long-term financial wellbeing.
• Parental leave: 16 weeks of paid parental leave available to all new parents.
• Health & wellness: Dedicated health and wellness stipend.
• Remote work support: Stipends for remote workspace, internet, and cellphone expenses.
• Flexible working: Flexible working hours and location within the remote setup.
• Paid vacation: 21 days of vacation time.
• Sick leave: 80 hours of paid sick leave.
• Company holidays: 11 company-paid holidays.
• Team culture: Virtual team-building activities, lunch-and-learn sessions, and other company-wide events.
• Remote-first environment: Opportunity to work remotely in Canada while collaborating with an international organization.

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, analyzing resumes, and 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.