Magnet Forensics

Technology

EngineeringManager,AIEngineering

CA$165–235k ~AI est. Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Engineering Manager, AI Engineering at Magnet Forensics. Skills: AI Engineering, Team leadership, ML systems. Build, develop, and partner with ML Engineers. Hire, coach, and develop engineers”

What You'll Achieve.

Turn months of case work into days

Industry & Context.

Technology
Problems you'll solve

Weigh trade-offs; Navigate complex decisions

What They're Looking For.

Must Have

3+ years managing or leading teams, Hands-on experience building applied AI/ML systems, Bachelor's degree in Computer Science or equivalent practical experience

Nice to Have

Experience in high-stakes domains

What You'll Do.

and partner with ML Engineers

and develop engineers

Shape standards and develop engineers

Build a community of practice

Drive operational excellence

Ship team deliverables

Improve work processes

Build frameworks for efficient delivery

Protect team autonomy

Guide technical execution

Ask sharp technical questions

Help team weigh trade-offs

Ensure complex initiatives have direction

Align systems with long-term goals

Coach engineers on the team

Help engineers scope projects

Help engineers navigate trade-offs

Prepare engineers for conversations

Create opportunities for ownership

Support engineers with feedback

Foster a culture of experimentation

Create environment for sharing ideas

Test ideas and measure results

Learn quickly from data

Lead with context and collaboration

Align roadmap goals with capacity

Ensure team solves right problems

Nurture a high-performing team

Evolve processes and communication

Enhance distributed collaboration

Maintain high trust within team

Leverage time zone coverage

Drive AI-assisted development practices

Integrate AI development tools

Raise AI development standards

Determine what adds value

How You'll Work.

Team & Collaboration

Cross-functional groups; AI Engineering leadership; Product and UX; Engineering leadership; Distributed teams

Communication Scope

Technical topics; High-stakes conversations

Process & Methodology

Roadmap alignment

Full Job Description

## Description 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 bui

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