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Engineering Manager, AI Engineering

Magnet Forensics
Waterloo, ON

Postuler dès maintenant

Détails du poste

Temps plein

Avantages

Congés payés

Compétences

Informatique
Ingénierie
Baccalauréat
Systèmes distribués
Génie informatique
Intelligence artificielle

Description complète du poste

Waterloo, Ontario / Toronto, Ontario / Ottawa, Ontario

Research and Development – Engineering /

Full-Time /

Hybrid

Who We Are; What We Do; Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

Role Overview

We are looking for an Engineering Manager to build, develop, and partner with a growing team of 5-10 ML Engineers working on AI systems that power our digital forensics capabilities. You'll be responsible for hiring, coaching, career development, and performance; raising the bar on AI/ML craft by shaping standards, developing engineers, and building a strong community of practice across the team.

Distributed across Canada and Sweden, our MLEs work in cross-functional groups alongside Software Engineers and SDETs, and are organized around missions like Search and Enrichment rather than by technical discipline. As part of the AI Engineering leadership team, you'll work alongside peers to build cohesion across those groups, partner with Tech Leads to shape how we approach difficult technical problems, and collaborate with Product and UX to make sure the team is solving the right problems for our users.

From building AI that investigators can trust to turn months of case work into days, to figuring out what 'good' looks like when users are searching for a needle in a haystack they've never seen before, our team works on challenging and meaningful problems. If these are the kinds of problems that interest you, then you will feel at home on this team!

What You’ll Do

Drive operational excellence. Stay accountable for what the team ships, and continuously improve how we work by building frameworks for efficient, high-quality delivery. Protect team autonomy by bringing clarity and keeping decision making complexity low.
Guide technical execution. Stay close enough to the technical work to ask sharp questions, spot risks, and help the team weigh trade-offs. Partner with Tech Leads to ensure complex initiatives have the right direction, and that our systems are adaptable and aligned with long-term goals.
Coach and grow engineers on the team. Help them scope ambiguous projects, navigate tough technical trade-offs, and prepare for high-stakes conversations. Create opportunities for them to take ownership and expand their impact, and support them through clear, actionable feedback.
Foster a culture of experimentation. Create an environment where the team can safely share and test ideas, measure results, and learn quickly from each other and our data to keep pace in a rapidly evolving space.
Lead with context and collaboration. Work across Product, UX, and engineering leadership to align roadmap goals with team capacity and ensure the team is solving the right problems for our users.
Nurture a high-performing, distributed team. Evolve our processes and communication patterns to enhance our distributed collaboration while maintaining a high level of trust within the team. Leverage our time zone coverage in Canada (ET/MT) and Sweden (CET) as an advantage, not a constraint to overcome.
Drive thoughtful AI-assisted development practices. Figure out where AI development tools accelerate the team versus where they create risk, and raise our standards accordingly. Cut through the noise to determine what adds real value vs. what is only hype.

What We’re Looking For

We are looking for a leader who combines genuine passion for developing people with enough AI/ML depth to coach effectively, weigh in on technical trade-offs, and raise the bar on our practices. We care more about demonstrated impact and capabilities than whether you check every box.

3+ years managing or leading teams of engineers, with a track record of building healthy teams, delivering results, and coaching people through growth (regardless of title);
Hands-on experience building applied AI/ML systems. Enough to understand what good looks like, evaluate technical judgment, and have credible conversations on technical topics with the team;
A genuine coaching mindset. You find satisfaction in other people's growth, give direct and useful feedback, and have coached Senior and Staff-level engineers; people who don't need hand-holding but benefit from thoughtful partnership;
Sound technical judgment. You can navigate complex decisions, weigh trade-offs, and help teams move toward adaptable, maintainable solutions, even when the right answer isn't obvious;
Strong cross-functional instincts. You communicate clearly with engineers, PMs, UX, and leadership, and understand that your job is to make the whole system work, not just to deliver features;
Experience working effectively across distributed teams. You understand that "remote" and "distributed" are different things, and know how to build cohesion when people aren't in the same room;
Familiarity with AI-assisted development tools and a perspective on how to effectively integrate them into engineering workflows and team practices;
Bachelor's degree in Computer Science, Computer Engineering, or a related technical field; or equivalent practical experience.

Nice to Have Skills

Experience in high-stakes domains (security, healthcare, legal) where correctness matters;
Experience with AI/ML in constrained deployment models (on-prem, edge, air-gapped);
Experience building and operating scalable, distributed systems;
Familiarity with MLOps tooling (e.g., experiment tracking, model versioning, CI/CD for ML).

Compensation & Benefits

The Compensation range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).

$160,000 - $210,000 (CDN) a year

Salary range (min - max)

Position Type: New position

Magnet is proud to offer benefits such as:

Generous time off policies

Competitive compensation

Volunteer opportunities

Reward and recognition programs

Employee committees & resource groups

Healthcare and retirement benefits

Indicators of Success

We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have “been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us.

How We Work

At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals.

We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best!

The Most Important Thing

We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences:

CARE – We care about each other and our mission to make a difference in the world.

OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect.

DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.

EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work.

Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.

Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact [email protected] should you require any accommodations.

All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.

US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.

Magnet does not use artificial intelligence (defined as a machine-based system that infers from input to generate outputs such as predictions, content, recommendations, or decisions) for screening, assessing, or selecting applicants. Should this practice change, we will update this disclosure accordingly.

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