# Senior Engineering Manager - Analytics Platform at Faire

Faire is hiring a Senior Engineering Manager - Analytics Platform in Kitchener and Toronto, Canada. It pays $191k-$262k a year and Level rates it Works on AI ●●●○; you can [apply on Faire](https://jobsbylevel.com/go/53365e3b-86d1-49b2-a1cd-516a2e5164a4?utm_medium=ai-agent).

AI Level 3, AI centrality 64 out of 100. Kitchener-Waterloo, ON; Toronto, ON.

## Details

- Company: [Faire](https://jobsbylevel.com/companies/faire)
- AI level: AI Level 3 (score 64 out of 100)
- Location: Kitchener-Waterloo, ON; Toronto, ON
- Salary: $191k-$262k
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/53365e3b-86d1-49b2-a1cd-516a2e5164a4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-engineering-manager-analytics-platform-at-faire-5ff41b

## Prepare for this job

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## Description

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Help build the data foundation behind every decision at Faire: Faire is building the operating system for local retail. Every day, hundreds of thousands of independent retailers and brands rely on Faire to discover products, grow their businesses, and compete with large marketplaces. Behind every product launch, experiment, and business decision is data, and how quickly and accurately teams can turn that data into insight shapes how fast Faire can move. We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics tools that teams across Faire rely on every day to make critical business decisions. The team’s mandate is to reduce the time from data to insights for Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance while ensuring high quality and freshness of that data. This is not just a people management role. You will set the technical direction for the analytics platform, shape its strategy, and lead a team that other teams across the company depend on. You’ll partner closely with data scientists, analysts, and engineers to turn ambiguous needs into reliable, scalable, cost-efficient platform systems, and you’ll stay close enough to the architecture and code to lead your team well. You’re excited about this role because… You want to build and lead a team that owns foundational systems used across the entire company You enjoy hard technical problems in data warehousing, pipelines, data quality, and the performance and cost trade-offs of data processing at scale You care deeply about internal customer experience and want analysts and data scientists to trust the platform and find it easy to use You’re excited about how AI agents are changing analytics work, and want to put those tools in the hands of the people who use the data You love helping engineers grow and building a team culture of craft, ownership, and continuous learning What you’ll do: Directly manage, mentor, and grow a team of 8 engineers, helping each of them reach higher levels of impact in their careers Set the technical vision and roadmap for Faire’s analytics platform, including data warehousing, ETL/ELT pipelines, foundational datasets, and BI tooling and integrations Lead scoping, planning, and prioritization, balancing urgent near-term needs with long-term platform investments Hold a high bar for data integrity, security, privacy, governance, reliability, and operational excellence across the platform Own cost efficiency across storage and compute, with the right monitoring, alerting, and cost tracking for workloads Build AI/LLM-powered tooling and automation that make analytics work faster and more accurate Partner closely with Data Science, Analytics, Finance, and Product Engineering to understand their pain points and turn them into clear platform priorities Triage and assign production issues and defects alongside planned work, and identify the infrastructure or tooling changes that prevent them Dive into the architecture, designs, and code so you can lead your team effectively Manage

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