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Added just now
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Legal Administrative Assistant
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Faire

Product Engineer - Ads

Toronto, ON, Canada

Pay: Canada: the pay range for this role is $129,500 - $178,000 per year.
Experience: 2+ years of full-time software engineering experience shipping product in a production environment.
Posting language: English
Posted: Sep 22, 2026

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Original job 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 Ads team helps brands succeed by putting them in charge of their own growth. We own the brand-facing side of the Ads business: the ads manager, campaign setup, performance reporting, budget retention and expansion, and the trust that keeps advertisers investing with us.

As a product engineer on the team, you'll own features end-to-end: dig into the advertiser's problem, weigh the options, ship, and measure whether it worked. You'll partner with Product, Design, Data Science, and our Go-to-Market team to shape what we build, not just how it gets built.

This is an ideal role for engineers who combine strong product intuition with genuine excitement about AI. You'll go deep on how ads work in a wholesale marketplace, where the advertisers are independent brands and the buyers are the retailers who stock them.

What you'll do

Product ownership: Take advertiser-facing features from problem to launch, including ads manager workflows, campaign controls, and performance reporting.
Product judgment: Partner closely with Product, Design, Data Science, Analytics, and Marketing to identify business opportunities and execute on them. Bring customer empathy for brand advertisers, a clear point of view, and a bias for delivering over waiting for a perfect spec.
Technical craft: Build scalable systems and product experiences that stay fast and reliable as our advertiser base grows, and contribute to the technical strategy that gets us there.
AI fluency: Use AI tooling as a core part of how you deliver impact, from prototyping and coding to reviewing and exploring ideas faster.
Data fluency: Instrument what you ship, then use the data to understand advertiser behavior, evaluate experiment results, and guide where we invest next.

Qualifications

Must-haves

2+ years of full-time software engineering experience shipping product in a production environment.
Strong product judgment and customer empathy. You think about what to build, not just how, and you've shipped features you can explain in terms of who used them and what changed.
Has integrated AI tools into your regular engineering workflow; we want to see that AI has become part of how you work, not just something you've tried.
Background in at least one of: ads / ad tech, large analytics or measurement products, or data engineering (pipelines, ETL, warehousing).
Able to thrive in a high-pace product environment; a clear communicator who works effectively with PMs, designers, data scientists and our Go-to-Market team.

Preferred

Experience with ads manager, campaign management, or other advertiser-facing tools.
More than one of the domain backgrounds above (ads + analytics, analytics + data engineering, etc.).
Hands-on frontend experience with React or similar.
Experience with experimentation or customer-facing reporting.

Salary range

Canada: the pay range for this role is $129,500 - $178,000 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)

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More about this job

Responsibilities

You will own advertiser-facing features end-to-end, from problem identification to launch and performance measurement. You will partner with cross-functional teams including Product, Design, and Data Science to build scalable, reliable systems for the ads platform.

Requirements

Candidates must have at least 2 years of full-time software engineering experience and a strong background in ads tech, analytics, or data engineering. Proficiency in integrating AI tools into engineering workflows and strong product intuition are essential.

Skills

Software engineering
Product ownership
Ads tech
Data science
Machine learning
React
Data engineering
Analytics
Product judgment
Customer empathy
AI tooling
System scalability
Experimentation
Performance reporting
Campaign management

Benefits

Equity
Comprehensive benefits
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Product Engineer
Ads
Wholesale platform
Machine learning
Ads manager
Campaign setup
Performance reporting
Budget retention
Product intuition
AI fluency
Data science
Data engineering
ETL
Warehousing
React
Experimentation
Scalable systems
Customer empathy
Marketplace
Software engineering

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