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E-commerce, Marketplace

Senior Fullstack Engineer - Ads

Toronto, OnHybridFull TimeSenior$156,000–$214,500 /yrPosted 2 months ago

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Role summary

Faire is seeking a Senior Fullstack Engineer for its Ads team within the Discovery pillar. This role involves building and optimizing platforms for Faire's Ads ecosystem, focusing on delivery, optimization, and measurement. The engineer will collaborate with cross-functional teams, own product improvements, and provide technical leadership. Key responsibilities include driving technical improvements for performance and scalability, developing server-driven UI frameworks, and optimizing backend functionalities. The role emphasizes AI integration into daily workflows and mentorship. Qualifications include 5+ years of experience, proficiency in HTML, CSS, TypeScript, React, and Next.js, strong communication skills, and product judgment. Ad tech background and data pipeline experience are preferred.

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:

We are looking for a highly skilled and experienced Senior Fullstack Engineer to join our Ads team within the Discovery pillar. In this role, you will be a critical cross-functional team member building the platforms and tools that power Faire’s Ads ecosystem. You’ll play a key role in shaping how advertising is delivered, optimized, and measured at Faire.

What you’ll do:

  • Collaboration: Work closely with product managers, designers, engineering managers, and other stakeholders to significantly contribute to the success of Faire's business and engineering platform.
  • Product Ownership: Share ownership of our product, contributing to ongoing improvements that enhance the customer experience.
  • Technical Leadership: Help define the team's technical direction and roadmap, influencing the overall strategic direction of our engineering efforts.
  • Technical Improvements: Identify, prioritize, and drive technical improvements through multi-month projects that enhance the platform's performance and scalability.
  • Framework Development: Contribute to setting the technical direction of our server-driven UI framework. Design and execute engineering solutions that align with framework goals, ensuring scalability and broad adoption.
  • Backend Development: Unblock self by contributing to backend development, specially presentation layer, of server-driven UI functionalities and applications.
  • Performance Optimization: Optimize horizontal frameworks for peak performance and scalability. Work with state-of-the-art technologies such as Next.js, applying in-depth knowledge of frontend and backend performance techniques.
  • AI-Forward Development: Use AI tooling as a core part of how you deliver impact, consistently embedding AI best practices into your daily workflow.
  • Mentorship: Mentor fellow developers by sharing industry best practices and fostering an environment of continuous learning and growth.

    • Qualifications:

    Must-haves

  • 5+ years of full-time experience
  • Proficient in HTML, CSS, TypeScript, and frameworks like React, with strong frontend expertise, whether through deep hands-on work, leading a small group of frontend engineers, or driving a complex frontend project with multiple stakeholder coordination.
  • Able to thrive in a high-ambiguity, high-pace product environment, a strong communicator who works effectively across cross-functional teams
  • Strong product judgment and customer empathy, you think about what to build, not just how
  • 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.

    • Preferred

  • Background in ad tech (especially ads manager or campaign management tools) or customer-facing analytics/reporting/measurement systems.
  • Hands-on experience with data pipelines.

    • Technologies we use and teach:

  • Typescript, Kotlin
  • React, Next.js
  • Jest, cypress.io
  • Python, Airflow

    • 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)

    Sample Faire interview questions

    • 1

      Design a framework for instant customer feedback processing.

      system designmedium
    • 2

      Design a system for storing and serving images/videos.

      system designmedium
    • 3

      Design a scalable system for processing e-commerce transactions in real time.

      system designmedium
    • 4

      Build a real-time system for video stream object detection.

      system designmedium
    • 5

      How would you architect a scalable face recognition system for a large-scale surveillance network?

      system designmedium

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