Faire Verified

E-commerce, Marketplace

Senior Engineering Manager

Kitchener Waterloo, OnHybridFull TimeManager / Head$190,500–$262,000 /yrPosted 2 months ago

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Role summary

Faire is seeking a Senior Engineering Manager to lead a cross-functional team focused on core customer experiences within their wholesale marketplace. This role involves direct people management, strategic planning with product and design, and championing customer needs. The manager will oversee system health, quality, and the adoption of AI-driven tools to enhance development velocity and system quality. A strong technical background, hands-on coding ability, and a passion for programming are essential. The position emphasizes good engineering practices, including security, testing, maintainability, and scalability, with a commitment to rapid iteration and data-driven decision-making. This is a hybrid role based in Toronto, requiring 3 days per week in the office.

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.

About this role:

Our engineering team owns the software that makes our marketplace work. We’re looking for an experienced leader to help lead teams focused on a core customer experience. Our customers look to Faire to help manage and run their wholesale business across the customer journey, from getting their products listed to marketing their business through promotions or email to processing wholesale orders and managing their fulfillment.

We care about good engineering practices and love to write software that is secure, tested, easy to maintain, and scalable to millions of users. We build minimum viable products, deploy to production multiple times per day, A/B test customer-facing changes, listen to the data, and iterate.

We are deeply committed to accelerating the adoption of AI across our engineering workflow—leveraging it for everything from basic coding assistance and streamlining review processes to informing architectural design and enhancing system monitoring. We are excited about this vision and are seeking Engineering Managers to partner with us in accelerating it, driving AI as a critical enabler for increasing our development velocity and system quality.

What you’ll do:

Directly manage a cross functional team of engineers.

Partner with product management and design on team strategy and roadmapping

Champion customer empathy and advocacy by translating deep customer needs into strategic and technical priorities.

Lead scoping and sprint planning within your teams

Oversee the health and quality of the production system, leveraging automated tools to diagnose and address defects and system issues.

Identify and scope infrastructure or tooling changes to impact efficiency and/or quality

Champion the adoption of AI-driven tools and processes (e.g., background agents, automated testing, production monitoring) across the engineering organization to accelerate development velocity and quality.

Dive into the architecture, designs and code in order to lead your team effectively.

Lead contributor and owner of process and team structure decisions.

Directly impact our ability to grow quickly while improving operational efficiencies.

Qualifications:

A passion for programming and solving problems with code.

A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.

A strong technical background and you are still capable of using it every day.

A love for technology, and an insatiable curiosity for new tools to tackle real problems.

A track record of leading teams to higher levels of contribution.

A track record of assisting team members to achieve higher levels of impact in their careers.

Capable and willing to write software for a couple months as part of your onboarding.

Still willing and able to get your hands dirty with software design, code creation, tooling, etc.

Bonus/Nice to haves:

Postgraduate degree in management or business

Strength and experience in running engineering teams using metrics

Have lead through other managers

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.

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://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 Privacy Notice (https://www.faire.com/privacy)

Sample Faire interview questions

1
Design a framework for instant customer feedback processing.
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2
Design a system for storing and serving images/videos.
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3
Design a scalable system for processing e-commerce transactions in real time.
system designmedium
4
Build a real-time system for video stream object detection.
system designmedium
5
How would you architect a scalable face recognition system for a large-scale surveillance network?
system designmedium

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