Senior Manager, AI/ML Engineering in Vancouver

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. We create transformational products and experiences that support people in moving, growing, connecting, and being well. Our success is attributed to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. We focus on creating positive change to build a healthier, thriving future, including an equitable, inclusive, and growth-focused environment for our people.

The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon's vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates.

As a Senior Manager, AI/ML Engineering, you lead a team of AI/ML Engineers, setting technical direction, building delivery capability, and ensuring your team produces production-grade AI/ML systems that drive measurable business value. Your team sits at the intersection of software engineering and AI/ML, applying existing AI models and algorithms to specific business problems, setting up training pipelines, transforming data for AI use, fine-tuning models for performance, and orchestrating multiple algorithm steps to build end-to-end AI solutions.

You establish AI/ML engineering best practices spanning model development, training infrastructure, MLOps, and GenAI systems, manage performance, coach team members on engineering craft and responsible AI, and create an environment that fosters innovation and engineering excellence. You maintain strong technical credibility, partner closely with applied science, data engineering, product, and business stakeholders, and ensure AI/ML engineering work is delivered reliably at the highest quality.

• Own delivery across the team's AI/ML engineering work from problem framing through to production stability.
• Set technical direction for the AI/ML engineering capability area.
• Contribute hands-on to critical engineering work including AI solution design, model deployment, training infrastructure, model serving, and system design problems.
• Establish AI/ML engineering standards.
• Build and maintain the operational foundation for how AI solutions are deployed and run in production.

Qualifications:

• 10-12 years of applicable experience.
• Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related technical field, or equivalent experience.
• Make architectural decisions for the team's AI/ML systems.
• Prioritize AI/ML investments within the team's scope.
• Build and maintain the team's AI/ML delivery systems.

Must haves:

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness.
• Lead with courage.
• Foster connection by putting people first.
• Integrate fun and joy as a way of being and working.

Authorization to work in Canada is required for this role.

Compensation and benefits package: lululemon's compensation offerings are grounded in a pay-for-performance philosophy. The typical hiring range for this position is from $189,740 - $249,040 annually. As part of our total rewards offering, permanent employees may be eligible for our competitive annual bonus program. Other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

• Extended health and dental benefits, and mental health plans.
• Paid time off.
• Savings and retirement plan matching.
• Generous employee discount.
• Fitness & yoga classes.
• Parenthood top-up.
• Extensive catalog of development course offerings.
• People networks, mentorship programs, and leadership series.

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.