- Salary
- $156k – $215k
- Location
- Kitchener-Waterloo, ON; Toronto, ON · Waterloo, Ontario, Canada · Toronto, Ontario, Canada
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Greenhouse
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.
About this Role:
Faire’s Insider pod, part of the Value Pillar, owns Faire’s membership program — the way we partner with brands to deliver exclusive benefits to retailers so they know they’ll always get the lowest landed cost in wholesale. Through free shipping, exclusive discounts, and premium benefits, Insider makes Faire the obvious place for our most engaged retailers to start and grow their businesses.
As a Senior Engineer (L4), you’ll own the core services and systems that power the membership: free-shipping coverage, discount targeting and delivery, enrollment and activation funnels, and the membership lifecycle that reinforces value at every touchpoint. Your work directly shapes what benefits a retailer sees, when they see them, and how much value the program delivers.
What You’ll Do:
- Own critical services in our Kotlin-based backend that power our Insider membership program
- Collaborate cross-functionally with Data Science, Product, and Design to prototype, evaluate, and productionize improvements to the Insider user experience..
- Measure and iterate on program performance using experimentation and analytics, growing active Insiders, GMV per Insider, and enrollment rate.
- Reinforce Insider value across cart, checkout, discovery, and post-order surfaces so members consistently see and use the savings they’re entitled to.
- Mentor engineers and contribute to team best practices in design reviews, performance tuning, and system architecture.
We’re Excited About You Because You Have:
- Experience: 5+ years in backend systems, with marketplace a nice to have
- Technical Depth: Proficiency in Kotlin, Java, or similar object-oriented languages; comfort with distributed systems, service design, and performance optimization.
- Data Fluency: Experience integrating with ML-driven decision systems, experimentation frameworks, or real-time data pipelines
- Collaboration: Strong communication skills and a track record of partnering with cross-functional stakeholders, from DS to PM, to deliver complex systems.
- Mindset: Curiosity and a drive to understand complex market dynamics; passion for applying data and algorithms to real-world business problems.
- Education: Bachelor’s degree in Computer Science/Engineering or equivalent industry experience.
Technologies We Use and Teach:
- Kotlin, Java, Python
- JUnit, Hibernate, Guice, Jersey
- HTTP, JSON, Protocol Buffers
- MySQL, CockroachDB, Elasticsearch
- AWS
Salary range:
Canada: the pay range for this role is $156,000 - $214,500 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)
