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

As a Senior Data Recruiter at Faire, you will play a critical role in scaling our fast-growing Data and Machine Learning teams. We are looking for someone who is deeply passionate about technical recruiting, thrives in partnership with hiring managers, and has proven experience attracting top-tier talent in machine learning, data science, and related fields.

You will be responsible for building and executing recruiting strategies that fuel our ability to solve complex data challenges and advance Faire’s mission. With a focus on leadership, process excellence, and candidate experience, you will help Faire continue to attract world-class talent while shaping the future of our recruiting function.

This is a high-impact role based in Toronto or Waterloo with opportunities to expand scope as the business grows.

What You'll Do

Lead full-cycle recruiting for data and machine learning roles, from role design through candidate close, with a strong focus on senior+ level and niche technical hires.
Partner with hiring managers and executives to define requirements, calibrate on market talent, and drive structured, data-informed recruiting processes.
Design and execute creative sourcing strategies across multiple channels - including outbound campaigns, networks, events, and partnerships - to identify and engage top ML and data talent.
Champion candidate experience, ensuring Faire’s process is transparent, efficient, and engaging from first touchpoint to offer acceptance.
Own the offer process end-to-end, providing guidance on competitive compensation, negotiation, and closing strategies.
Maintain high data integrity within our applicant tracking system (Greenhouse) and provide actionable reporting and insights to leadership.
Mentor and collaborate with other recruiters, sharing best practices and helping elevate the team’s approach to technical recruiting.
Uphold and promote Faire’s values and DEI commitment, ensuring we build inclusive pipelines and equitable hiring processes.

Qualifications

4+ years of full-cycle recruiting experience, with at least 2 years focused on technical/data roles (machine learning, data science, or related fields).
Proven ability to close senior+ technical candidates in highly competitive markets.
Experience recruiting in fast-paced, high-growth environments (startup or scaling tech preferred).
Strong organizational skills with the ability to manage multiple searches, stakeholders, and pipelines simultaneously.
Data-driven mindset with experience producing pipeline and hiring insights to influence decision-making.
Excellent communication and influencing skills, both written and verbal.
Passionate about candidate experience, employer branding, and building inclusive teams.

Salary Range

Canada: the pay range for this role is $103,000 to $141,500 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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.

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)

Senior Data/ML Recruiter

About this role

Requirements

Benefits

About Faire