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M-Files logo
M-Files

The Smarter Way to Work.

Team Manager, AI

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 501-1,000Since 2009H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

87 days ago

Salary

0

Seniority

Senior

Job Description

Team Manager, AI

M-Files

• 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.

Job Requirements

  • 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).

Benefits

  • 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)

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