About the role

AI Team Manager leading AI initiatives for M-Files' document management system. Overseeing a team to integrate scalable AI capabilities in products for global knowledge workers.

Responsibilities

Translate product and business objectives into an actionable AI roadmap.
Lead the design, development, and deployment of AI/ML solutions in production.
Ensure AI initiatives drive measurable product KPIs and customer value.
Promote best practices in model lifecycle management, evaluation, monitoring, and governance.
Provide architectural guidance for AI systems, including LLM integrations, ML pipelines, and cloud-native AI services.
Oversee experimentation frameworks (A/B testing, model validation, performance benchmarking).
Ensure high standards in code quality, reproducibility, security, and scalability.
Drive adoption of MLOps practices and tooling (e.g., MLflow, CI/CD for ML, observability).
Build, mentor, and develop a high-performing AI team.
Foster a culture of ownership, collaboration, and continuous learning.
Support career development, coaching, and performance management.
Partner with recruiting to attract top AI/ML talent.
Work closely with Product Managers to prioritize AI investments and align on outcomes.
Collaborate with Engineering and Platform teams to ensure seamless AI integration into core product architecture.
Communicate technical strategy and results clearly to both technical and non-technical stakeholders.

Proven experience leading AI/ML teams in a SaaS or technology environment.
Strong hands-on background in machine learning, applied AI, or data science.
Experience deploying AI solutions to production environments at scale.
Solid understanding of MLOps, cloud platforms, and modern data architectures.
Proficiency in common ML frameworks (e.g. TensorFlow, PyTorch, or similar).
Strong leadership, coaching, and stakeholder management skills.
Ability to translate complex AI concepts into clear business value narratives.
Experience with LLMs and generative AI applications in enterprise environments (Nice-to-Have).
Familiarity with Databricks, MLflow, or similar ML platforms (Nice-to-Have).
Knowledge of SaaS product metrics and PLG strategies (Nice-to-Have).
Experience working in Agile development environments (Nice-to-Have).

As a remote-enabled company, our employees enjoy the flexibility to support their work-life balance
10 paid company holidays
4 additional floating holidays to support individual flexibility and regional observances
Paid parental leave
Work-from-home support
Extended health coverage (prescription drugs and paramedical services such as physiotherapy, massage therapy, and chiropractic care)
Dental coverage (basic and major services)
Vision care
Employer-paid life insurance
Short-term and long-term disability coverage
Employee Assistance Program (EAP) for mental health and wellness support
Group RRSP or retirement savings plan
Employer matching contributions (up to a defined percentage)