Engineering Manager, AI Engineering (Magnet-Griffeye)

Magnet Forensics; Göteborgs kommun; Hybrid; SEK 784,000 - 1,250,000; Full time

Benefits offered by this job

Generous time off policies

Competitive compensation

Volunteer opportunities

Healthcare and retirement benefits

Job summary

Magnet Forensics is seeking an Engineering Manager to lead a growing team of ML Engineers in Göteborg. You'll drive operational excellence and guide technical execution while fostering a high-performing culture.

The ideal candidate will have extensive experience in managing engineering teams, applied AI/ML systems, and a strong coaching mindset. This is a full-time position with a competitive salary range of 784,000 - 1,250,000 SEK a year.

Qualifications

• 3+ years managing or leading teams of engineers.
• Experience building applied AI/ML systems.
• Genuine coaching mindset with strong feedback skills.
• Sound technical judgment for complex decisions.
• Strong cross-functional instincts.
• Effective across distributed teams.
• Familiarity with AI-assisted development tools.

Responsibilities

• Drive operational excellence and improve delivery frameworks.
• Guide technical execution and ensure quality.
• Coach and grow engineers on the team.
• Foster a culture of experimentation and shared learning.
• Lead cross-functional collaboration on roadmap goals.
• Nurture a high-performing, distributed team.
• Drive thoughtful AI-assisted development practices.

Skills

People management

Hands-on AI/ML experience

Coaching mindset

Technical judgment

Cross-functional communication

Distributed team experience

Familiarity with AI tools

Education

Bachelor's degree in Computer Science

Tools

MLOps tooling

Job description

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 versus what is only hype.

What We’re Looking For

• 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

784,000 - 1,250,000 (SEK) a year

Salary range (min - max)

Position Type: New position

• Generous time off policies
• Competitive compensation
• Volunteer opportunities
• Reward and recognition programs
• Employee committees & resource groups
• Healthcare and retirement benefits

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 [e-mail] 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.

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