Engineering Manager, Data/AI

For our client, we are seeking a Engineering Manager Data/ai to join the team of a leader in the Technical Services space. You'll build and maintain systems that power mission-critical Technical Services workflows. You'll collaborate with product and peers to design clean, scalable solutions. This role values craftsmanship, impact, and ownership.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $184,000 – $205,000 annually.

Responsibilities

• Lead and mentor a team of 6-8 engineers, fostering a culture of trust and collaboration
• Define success metrics, track progress, and communicate transparently with stakeholders
• Own the technical direction and long-term vision for the Data/AI team
• Guide design and implementation of scalable data architectures and pipelines
• Balance technical debt with new feature development to support long-term goals
• Collaborate with the Product Manager and Designer to understand customer needs
• Contribute to the evolution of company's engineering culture

Qualifications

• 6+ years of software engineering experience, including 2 years in a direct people management role
• 3-5 years in a Data and/or AI Engineering team
• Experience building scalable, customer-facing data products using Python, Databricks, Azure, and Kubernetes
• Strong experience with Data Lakehouse technologies like Databricks and Apache Spark
• Understanding of Data Science concepts in Machine Learning and Generative AI
• Self-driven, accountable leader with an empathetic approach
• Ability to communicate complex technical ideas clearly to diverse audiences

Benefits

• Remote-first organization with flexible working hours within Canada
• Responsible time off to ensure team members can recharge
• Comprehensive health, vision, and dental benefits with an Employee Assistance Program
• Opportunities for community involvement through various initiatives
• Stock options for all employees
• Diversity, equity, and inclusion initiatives with ongoing discussions and learning opportunities

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification—your background could be exactly what this team needs.