--- title: 'Senior Engineering Manager - Analytics Platform at Faire' canonical: 'https://feeny.ai/job/senior-engineering-manager-analytics-platform-faire-kitchener-waterloo-d62zg13trwm5' type: 'job' last_seen: '2026-10-29' --- # Senior Engineering Manager - Analytics Platform at Faire - **Company:** Faire - **Location:** Kitchener-Waterloo, Canada / Toronto, Canada - **Posted:** 2026-10-27 - **Last confirmed live:** 2026-10-29 - **Apply:** https://boards.greenhouse.io/faire/jobs/8917120002?gh_jid=8917120002 ## Job 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 relationships with select infrastructure vendors - Own process and team structure decisions, and attract, hire, and retain top engineering talent We’re excited about you because you: - Have 8+ years of experience in engineering roles, with at least 3+ years in engineering leadership positions - Have experience building and operating data platforms, such as data warehousing, ETL pipelines, orchestration, and analytics engineering workflows - Have a strong technical background you still use every day, including strong Python and SQL, and are willing to write software for a couple of months as part of your onboarding - Understand the performance, capacity, and cost trade-offs in data processing systems - Have experience diagnosing, mitigating, and addressing data system production issues at scale - Demonstrate strong internal customer empathy and a track record of building platforms or tooling with high adoption - Have a track record of leading teams to higher levels of contribution and helping engineers grow their careers - Are comfortable bringing clarity and structure to ambiguous, cross-functional problems - Have strong communication skills and can work well with both technical and non-technical partners - Have a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience Bonus points if you: - Have experience with Snowflake or other cloud data warehouses - Have led through other managers - Have a postgraduate degree in computer science, data science, data analytics, or mathematics Technologies we use & teach: (Experience in similar technologies is welcomed) - Languages: Kotlin, Python, SQL - Infrastructure: AWS, Airflow, dbt, Snowflake, Databricks, Spark, Flink, Kafka, Fivetran, MySQL, CockroachDB, Mode - AI Tools: Claude Cowork, Codex, Cursor Salary range: Canada: the pay range for this role is $190,500 - $262,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. ## Why you’ll love working at Faire - Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. - Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. - Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. - Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. - Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our [blog](https://blog.faire.com/). Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our [Accommodation Request Form](https://docs.google.com/forms/d/e/1FAIpQLSczpI9me7nYKhunSC6AlagHKv75LHqfi-Qi2TP_3dpin0Uc9Q/viewform) (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s https://www.faire.com/privacy ## About Faire ## Company Overview - **One-liner**: Faire is an online wholesale marketplace that connects independent retailers with brands to streamline the buying and selling process, empowering local businesses. - **Entity Type**: Private (Series E, $1.7B total funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2017 - **Founders**: Max Rhodes (CEO), Daniele Perito (CTO), Marcelo Cortes (COO), and Rekha Srivatsan ## Core Business - **Primary industry/industries**: Wholesale Marketplace / E-commerce / Retail Technology - **Target customers**: B2B – primarily independent retailers (boutiques, grocery stores, gift shops) and brands/manufacturers. - **Mission or purpose statement**: "To empower brands and retailers to strengthen the unique character of local communities." ## Products & Services - **[Faire Marketplace]**: The core platform is a two-sided wholesale marketplace. Retailers can discover and buy products from thousands of brands with low minimums, net-60 payment terms (60 days to pay, interest-free), and free returns on first orders. - **[Faire Payments & Invoicing]**: Integrated financial services allowing retailers to buy now and pay invoices 60 days later with zero fees. - **[Faire for Brands]**: A suite of tools for brands to manage their wholesale operations, get discovered by retailers, and manage orders and payments. ## Market Standing - **Valuation/Market Cap**: $12.59 billion (as of Series E in 2021, per multiple reports and LinkedIn). Note: This is a private valuation from 2021; current valuation may differ. - **Key Metric**: Annual Revenue of $235M (estimated, per LinkedIn) and Total Funding of $1.7B. - **Notable Investors/Partners**: Sequoia Capital (led Series E), Khosla Ventures (led Series A), Forerunner Ventures, DST Global, Lightspeed Venture Partners, Founders Fund, Y Combinator. - **Growth Signals**: - Headcount of 927 employees (+8.6% YoY growth). - Serving retailers in 70,000+ cities and featuring 100,000+ brands. - Named to Forbes "Top Startups of 2025" list. - Received Fast Company "Most Innovative Companies" award. - Active job postings up +147.4% YoY, signaling strong hiring momentum. ## Competitive Advantages - **Network Effects**: A powerful two-sided marketplace that becomes more valuable as more retailers and brands join. - **Financial Moat**: Offering net-60 payment terms is a major differentiator for cash-strapped small retailers, creating stickiness. - **Data & AI**: Uses AI/ML to power search, recommendations, and pricing, helping retailers discover the right products and brands optimize their offerings. - **Scale & Brand**: As the leading platform in its space, it has a significant head start over potential competitors. ## Strategic Focus - **International Expansion**: Offices in Canada, UK, Brazil, Netherlands, and India, with plans to grow. - **Product Development**: Heavy investment in AI/ML (hiring Applied AI/ML Scientists), product management, and design to improve the platform experience. - **Deepening the Moat**: Focus on financial services (payments/invoicing) and data insights to become an indispensable operating system for independent retailers. ## Why Work Here - **Culture**: The company emphasizes a "high-urgency," "relentlessly resourceful," and "low-ego" culture. Core values include "One Faire" (collaboration), "Make it happen (fast)," "Raise the bar," "Seek the truth," and "Serve our community." - **Remote/Hybrid/Office Policy**: Hybrid model with thoughtfully designed offices in San Francisco (HQ), New York, Toronto, Waterloo, London, and São Paulo. Monthly stipends for home connectivity needs. - **Notable Perks**: - Comprehensive healthcare (Health, Dental, Vision, Disability). - Generous parental and family leave, plus fertility support. - "Faire Fundays" (company-wide paid time off). - Annual learning grant for personal/professional development + unlimited LinkedIn Learning. - Fitness & wellbeing monthly credit. - Free access to Modern Health therapists and resources. - Charitable donation matching (up to $250/year). - **Engineering Culture**: Described as tackling complex problems to build "one of the most ambitious technology platforms in retail." Strong emphasis on AI, search, and growth engineering. Many hires come from top tech companies (Google, Amazon, Uber, Shopify, Airbnb). - **Career Growth**: A career framework is in place to allow employees to grow as leaders, hone their craft, or explore new disciplines. ## Sources 1. [faire.com - About](https://www.faire.com/about) 2. [faire.com - Careers](https://www.faire.com/careers) 3. [faire.com - Homepage](https://www.faire.com/) 4. [LinkedIn - Faire Jobs](https://www.linkedin.com/company/fairewholesale/jobs) 5. [LinkedIn - Faire Company Profile](https://www.linkedin.com/company/fairewholesale) ## Other roles at Faire - [Strategy & Operations Senior Lead](https://feeny.ai/job/strategy-operations-senior-lead-faire-new-york-wbjb299dhr8a) — New York, NY / San Francisco, CA - [Head of Workplace](https://feeny.ai/job/head-of-workplace-faire-san-francisco-jxad37p33qkn) — San Francisco, CA - [Europe Strategy & Operations Director](https://feeny.ai/job/europe-strategy-operations-director-faire-london-nws2ahhkxe3s) — London, United Kingdom - [Staff Product Manager, Incentives](https://feeny.ai/job/staff-product-manager-incentives-faire-new-york-yw3q3m9qwfk2) — New York, NY / San Francisco, CA - [Brand Success Manager](https://feeny.ai/job/brand-success-manager-faire-new-york-bw5g422e77v5) — New York, NY / San Francisco, CA - [AV Engineer](https://feeny.ai/job/av-engineer-faire-san-francisco-mwggwrc3by99) — San Francisco, CA - [Senior Software Engineer - Product Security](https://feeny.ai/job/senior-software-engineer-product-security-faire-kitchener-waterloo-hxx5213kf4rw) — Kitchener-Waterloo, Canada / Toronto, Canada - [Senior HRBP & Strategic Projects Lead](https://feeny.ai/job/senior-hrbp-strategic-projects-lead-faire-london-rfe78k6yp9jp) — London, United Kingdom - [Head of Paid Marketing](https://feeny.ai/job/head-of-paid-marketing-faire-new-york-zdrsndwt0kwn) — New York, NY - [Strategy & Operations Senior Associate](https://feeny.ai/job/strategy-operations-senior-associate-faire-san-francisco-djgf9xdnxk1p) — San Francisco, CA