Jobs in Guelph, Canada

We’re a team of dedicated experts creating a new way to commerce for the age of AI Shopping. fabric is on a mission to build an AI Commerce Operating System to orchestrate, optimize, and scale unified commerce for everyone. It’s a system of intelligent actions on top of enterprise-grade products that keep demand with supply in sync and optimize outcomes for margin improvement and delivering brand promise.

Headquartered in San Francisco, fabric was founded by a group of industry veterans determined to bring the same technical principles found at Amazon to retail. Leading retailers, including Petmeds, Debenhams, Chico’s, Crate & Barrel, and Backcountry, trust fabric to run their modern commerce business. No matter what field you are in, fabric has exciting opportunities for people passionate about making a difference and skilled at what they do!

Here are four questions you should ask yourself:

• Do I believe in fabric's mission?
• Do I prefer iteration over specification, testing and learning over checklists?
• Am I excited to use AI to experiment and work efficiently?
• Am I motivated to disrupt e-commerce?

If the answer is yes, we want to talk to you!

Where we hire: We are a remote-first company, focused on hiring in specific geographic locations.

United States - We're limited to hiring in the following states:

Canada - We're limited to hiring in the following provinces:

Come build the future of commerce with us at fabric. We're pioneering the world’s first AI Commerce OS—revolutionizing how merchants grow, sell, and operate. Backed by top-tier investors and led by industry and AI veterans, our team moves fast, innovates boldly, and shares a relentless vision of success.

you’ll play a foundational role in designing and scaling the data platform that powers fabric’s Agentic AI platform for commerce.

Your Responsibilities - What you will do:

• Design & Build: Architect a modern, scalable, and cost-effective data platform and data services using industry best practices.
• Architect data infrastructure for both transactional (OLTP) and analytical (OLAP) use cases at scale
• Build the foundational data services that power fabric's AI agents (feature stores, vector databases, ML pipelines)
• Lead with Vision: Guide data strategy and architecture in partnership with the CPTO and engineering leaders, aligning infrastructure investments with long-term business and product goals.
• Accelerate Product Development: Collaborate with Product Managers and SDEs to launch data-intensive features and products.
• Ensure Quality & Compliance: Champion data governance, security, and high availability across all data systems.
• Mentor & Influence: Set the bar for technical excellence across engineering, sharing best practices and fostering continuous learning.

• 10+ years of hands-on experience in building distributed data systems, backend services and core infrastructure in high-growth or startup environments.
• Proven ability to build data infrastructure from the ground up (0→1) and scale systems to support complex, high-throughput workloads across OLTP, OLAP and AI/ ML use cases.
• Deep expertise in modern data architectures including ETL/ELT pipelines, Data Lakes, Warehouses, Catalogs, and Real-time Streaming.
• Cloud-native experience (AWS), including services like S3, Redshift, Glue, SageMaker, and Bedrock. Bonus: experience with Clickhouse, Airbyte, Rudderstack, Airflow, Metabase, Posthog.
• Track record of shipping production-grade data products that drive business or product impact.
• Strategic mindset with the ability to influence technical direction, guide engineering best practices, and align data work to business outcomes.
• Strong collaborator with a bias for action—equally comfortable architecting, coding, and debugging alongside engineers as advising leadership on platform evolution.

Canadian locations: The base salary for this role is between CAD $150K to 200K annually.

United States locations: The base salary for this role is between USD $160K to 205K annually.

The annual base salary range for this full-time position reflects the minimum and maximum target salaries for the position across all locations listed. Actual pay may vary, depending on qualifications, experience and location. In addition, this role may be eligible for an annual bonus, equity options, and company benefits (your recruiter can share more details during the hiring process). Final offer amounts may vary from the amounts listed above.

• Competitive compensation packages
• PTO and Holiday plans
• Benefits packages which include Medical, Dental, Life, and Vision
• Wellness & Technology Programs
• Retirement Savings Plan
• Fast-paced, fun and collaborative environment
• A team invested in you both personally and professionally