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.

Why Listing Quality at Faire? Our mission in the Brand pillar is to make it easy for Brands to create high-quality product listings on Faire, keep them up to date, and get them in front of retailers. As a Senior Product Engineer on the Listing Quality team, you’ll make every product on Faire look and read its best. We use computer vision and LLMs to improve hero images, crops and product descriptions across millions of listings, and we prove the impact through online experiments.

You’ll partner closely with Brand Data Science. They own model quality. This is an ideal role for engineers who want to work where machine learning meets production systems, and who care as much about whether retailers click as whether the job succeeded. You like turning a data scientist’s prototype into something that runs every day without anyone thinking about it, and you’re just as happy building the first prototype yourself.

You’re entrepreneurial and data-driven, with a strong product sense, and you’re excited about learning how our customers’ businesses work and what they need in order to succeed.



You balance your excitement for building features with a focus on their long-term maintainability. You want to use technology to help your local independent retailers and brands succeed, and to experiment with the best AI productivity tools on the market to accelerate customer impact.

Build and own the backend services and data paths that take model-generated enhancements from batch pipelines into the live product

Design the infrastructure that makes catalog-scale generation dependable: backfills, freshness and staleness detection, coverage monitoring, and versioning of generated content

Shorten the loop from data science prototype to production experiment through clean handoff contracts, output auditing tools and evaluation hooks

Ship changes behind experiment flags, and own test plans, launch readiness and post-launch health

Make cost, latency and quality tradeoffs when running LLM and vision workloads over large datasets

Mentor fellow engineers on both technical and product judgement

Comfort with agentic coding tools

Familiarity with HTML, CSS, TypeScript, and frameworks/libraries like React and Next.js

Experience building or operating data pipelines (Airflow or similar, a warehouse like Snowflake)

Comfort working with ML or LLM outputs in production. A bachelor’s degree in Computer Science/Software Engineering or equivalent industry experience

Infrastructure & Cloud: AWS

This role will also be eligible for equity and advantages.



Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.

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.

Flexible paid time off, plus company-wide recharge days

Paid parental leave up to 16 weeks

Comprehensive health coverage, with options varying by location

Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance

Stipends to support your professional development, wellness, and work from home needs

Employer-sponsored retirement plan, dependent on country of employment

Faire was founded in 2017 by a team of early product and engineering leads from Square. Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. 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.

📌 Senior Product Engineer - Listing Quality Kitchener-Waterloo, On; Toronto, On
🏢 Faire Wholesale
📍 Toronto