About Faire
Faire is an online wholesale marketplace built on the belief that the future is
local — independent retailers around the globe are doing more revenue than
Walmart and Amazon combined, but individually, they are small compared to these
massive entities. 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 that small
businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive
economic impact in local communities, globally. 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
The Ads Data team is building the next generation of advertising products for
the wholesale industry. As a key member of this team, you’ll shape the future of
our ads system at Faire—from retrieval and ranking to auction design and bidding
strategy. Our in-house stack gives us unique end-to-end ownership, and our
first-party conversion data allows us to train highly effective models and
optimize for real, business-critical outcomes on behalf of our brands.
This is a rare opportunity to be an early contributor to a fast-growing team in
an incredibly strategic area of the business. Ads is a major company priority
and you'll have a massive impact in shaping the platform that connects
independent retailers and brands. You’ll work closely with engineers, product
managers, and designers to launch and iterate on systems that are not just
technically sophisticated, but also directly drive improvements to the bottom
line for both brands and Faire.
WHAT YOU’LL DO
- Own the end-to-end development of ML models across the ads stack—from problem
framing, solution design, modeling, and implementation to deployment,
experimentation, and impact measurement
- Build best-in-class models in areas such as ads retrieval, ranking, auction
optimization, bidding, and pacing—drawing from techniques in
search/recommendation systems and marketplace optimization
- As an early member of the Ads Data team, help define its roadmap and
technical culture, leveraging deep product intuition to shape what ads at
Faire should be—not just how they’re built
- Work in a fast-paced, collaborative environment with team members who’ve
shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest)
QUALIFICATIONS
- 4+ years of industry experience using machine learning to solve real-world
problems, ideally in Ads, Search, Recommendations, or a related large-scale
production domain
- Demonstrated ownership of the full ML lifecycle: from scoping and design
through training, deployment, A/B testing, and iteration
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- Experience with relational databases and SQL
- The ability to contribute to team strategy and to lead model development
without supervision
- Strong communication skills and the ability to work with others in a closely
collaborative team environment
GREAT TO HAVES
- Highly recommended: Master’s or PhD in Computer Science, Statistics, or
related STEM fields
- Ability to quickly implement state of the art algorithms from an academic
paper
SALARY RANGE
Canada: the pay range for this role is $168,000 to $231,000 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 2 days per week on Tuesdays
and Thursdays. Effective starting in January 2026, employees will be expected to
go into the office on 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.
Applications for this position will be accepted for a minimum of 30 days from
the posting date.
Why you’ll love working at Faire
- We are entrepreneurs: Faire is being built for entrepreneurs, by
entrepreneurs. We believe entrepreneurship is a calling and our mission is to
empower entrepreneurs to chase their dreams. Every member of our team is
taking part in the founding process.
- We are using technology and data to level the playing field: We are
leveraging the power of product innovation and machine learning to connect
brands and boutiques from all over the world, building a growing community of
more than 350,000 small business owners.
- We build products our customers love: Everything we do is ultimately in the
service of helping our customers grow their business because our goal is to
grow the pie - not steal a piece from it. Running a small business is hard
work, but using Faire makes it easy.
- We are curious and resourceful: Inquisitive by default, we explore every
possibility, test every assumption, and develop creative solutions to the
challenges at hand. We lead with curiosity and data in our decision making,
and reason from a first principles mentality.
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)
