<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>46804ba4-f29</externalid>
      <title>Senior Applied AI/ML Scientist - Compass</title>
      <description><![CDATA[<p>Faire is building the future of wholesale, connecting independent retailers with brands that define their stores. At the heart of this mission is Compass , Faire&#39;s user-facing AI within the Discovery Pillar , building an always-present, context-aware retailer assistant.</p>
<p>As a Senior Applied AI/ML Scientist on the Compass team, you will be the science and technical lead for this product , driving agent quality through data, evaluation, and modeling, while shipping product features end-to-end with high velocity.</p>
<p>Responsibilities:</p>
<ul>
<li>Own the science and technical direction for Compass&#39;s agentic products , the retailer assistant and future products.</li>
<li>Ship retailer-assistant features end-to-end across the FLARE Python app, data plumbing, tool wrappers, and frontend surfaces.</li>
<li>Translate product bets into tactical plans, sequencing and de-risking them.</li>
<li>Define evaluation and experiment-driven development processes.</li>
<li>Make pragmatic engineering choices, balancing simplicity and evolution.</li>
<li>Partner with engineers on architecture and serve as the science/technical interface to adjacent teams.</li>
</ul>
<p>Requirements:</p>
<ul>
<li>5+ years of industry experience building and shipping production ML/AI systems with measurable business impact.</li>
<li>Hands-on experience with agentic / LLM-powered features in a core production product.</li>
<li>Strong applied ML / data science foundation.</li>
<li>Track record of shipping fast across multiple stacks with quality.</li>
<li>AI-native in practice, using AI coding tools and agent workflows.</li>
</ul>
<p>Nice to Have:</p>
<ul>
<li>E-commerce, marketplace, or two-sided platform context.</li>
<li>Experience evolving a read-only assistant into one that takes actions safely.</li>
<li>Hands-on experience with the OpenAI Agents SDK or similar agentic frameworks.</li>
<li>Familiarity with preload-over-RAG context strategies or hybrid approaches.</li>
<li>Prior 0→1 / early-stage product experience.</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive pay: $180,000 to $247,500 per year.</li>
<li>Equity and comprehensive benefits.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Collaborative and supportive team environment.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></description>
      <jobtype>full-time</jobtype>
      <experiencelevel>senior</experiencelevel>
      <workarrangement>hybrid</workarrangement>
      <salaryrange>$180,000 to $247,500 per year</salaryrange>
      <skills>Python, AI, ML, Data Science, Agentic Frameworks, LLM, E-commerce, Marketplace, Two-sided platform, OpenAI Agents SDK, preload-over-RAG context strategies</skills>
      <category>Data Science</category>
      <industry>Technology</industry>
      <employername>Faire</employername>
      <employerlogo>https://logos.yubhub.co/faire.com.png</employerlogo>
      <employerdescription>Faire is a technology wholesale platform that connects independent retailers with brands globally.</employerdescription>
      <employerwebsite>https://www.faire.com</employerwebsite>
      <compensationcurrency>CAD</compensationcurrency>
      <compensationmin>180000</compensationmin>
      <compensationmax>247500</compensationmax>
      <compensationinterval>yearly</compensationinterval>
      <applyto>https://yubhub.co/jobs/job_46804ba4-f29/</applyto>
      <location>Kitchener-Waterloo, Toronto, ON</location>
      <city>Kitchener-Waterloo, Toronto</city>
      <state>ON</state>
      <postalcode></postalcode>
      <country>CA</country>
      <postedate>2026-10-26</postedate>
    </job>
    <job>
      <externalid>fc4be479-815</externalid>
      <title>Product Engineer - Brand - Fullstack, Backend or Frontend</title>
      <description><![CDATA[<p>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&#39;re using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.</p>
<p>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 Product Engineer on the Brand pillar, you will be responsible for planning and building features end-to-end, working alongside product, design, and data to achieve our mission.</p>
<p>Responsibilities:</p>
<ul>
<li>Collaborate closely with product managers, designers, and marketing to contribute significantly to the success of the business or the engineering platform</li>
<li>Identify and capitalize on new opportunities, overseeing complex multi-phase projects across multiple teams and platforms from concept to implementation</li>
<li>Build features across multiple stacks, potentially including Backend, Frontend, and Mobile</li>
<li>Optimize web applications for peak performance and scalability, ensuring the delivery of high-quality, fast, and scalable code</li>
<li>Mentor fellow engineers on both technical and product judgement</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>2+ years of experience</li>
<li>Proficient in at least one of Java, Kotlin, or JavaScript</li>
<li>Comfortable in agentic coding tools</li>
<li>Familiar with HTML, CSS, Typescript, and frameworks/libraries like React, Next.js, etc.</li>
<li>Experience driving product improvements end to end, including deciding what problems are worth solving and how to solve them</li>
<li>A bachelor&#39;s degree in Computer Science/Software Engineering or equivalent industry experience</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work</li>
<li>Move fast: You&#39;ll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly</li>
<li>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</li>
<li>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</li>
<li>Belonging: We&#39;re intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></description>
      <jobtype>full-time</jobtype>
      <experiencelevel>senior</experiencelevel>
      <workarrangement>hybrid</workarrangement>
      <salaryrange>$129,500 - $178,000 per year</salaryrange>
      <skills>Java, Kotlin, JavaScript, HTML, CSS, Typescript, React, Next.js</skills>
      <category>Engineering</category>
      <industry>Technology</industry>
      <employername>Faire</employername>
      <employerlogo>https://logos.yubhub.co/faire.com.png</employerlogo>
      <employerdescription>Faire is a technology wholesale platform that connects independent retailers with brands globally.</employerdescription>
      <employerwebsite>https://www.faire.com</employerwebsite>
      <compensationcurrency>CAD</compensationcurrency>
      <compensationmin>129500</compensationmin>
      <compensationmax>178000</compensationmax>
      <compensationinterval>yearly</compensationinterval>
      <applyto>https://yubhub.co/jobs/job_fc4be479-815/</applyto>
      <location>Kitchener-Waterloo, ON</location>
      <city>Kitchener-Waterloo</city>
      <state>ON</state>
      <postalcode></postalcode>
      <country>CA</country>
      <postedate>2026-10-26</postedate>
    </job>
    <job>
      <externalid>f79d14f8-5b2</externalid>
      <title>Customer Experience Associate (3 Month Fixed-Term Contract)</title>
      <description><![CDATA[<p>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&#39;re using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.</p>
<p>As a Customer Experience Associate at Faire, you will play a crucial role in empowering entrepreneurs to realize their dreams. In this dynamic position, you will engage directly with our brand and retailer partners, managing a range of experiences to significantly contribute to their business success.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Provide high-quality, real-time support to customers via phone/email/chat, addressing their questions and concerns promptly and effectively.</li>
<li>Use CRM tools (e.g., Zendesk, Kustomer, Salesforce) to manage customer interactions, ensuring all communications are logged and tracked accurately.</li>
<li>Work collaboratively with the team to meet and exceed key performance metrics such as response times, customer satisfaction, and issue resolution.</li>
<li>Participate in regular training and development sessions to continuously improve your skills and stay updated on Faire&#39;s products and policies.</li>
<li>Contribute to a team environment that encourages continuous learning, knowledge sharing, and peer support.</li>
</ul>
<p><strong>Qualifications</strong></p>
<ul>
<li>Experience in customer service, preferably in a phone-based support role.</li>
<li>Excellent verbal communication skills, with the ability to handle complex interactions professionally and empathetically.</li>
<li>Proficiency in using CRM and other customer support tools.</li>
<li>Strong problem-solving skills, with the ability to think quickly and provide effective solutions to customer issues.</li>
<li>A team player who is adaptable and agile, capable of working in a dynamic, remote environment.</li>
<li>Alignment with Faire&#39;s core values and a genuine passion for supporting and serving our community.</li>
</ul>
<p><strong>Role Specifications</strong></p>
<ul>
<li>This is a hybrid role with three days/week in office and two days remote.</li>
<li>Home Office: Must be in a quiet, enclosed room with a door - preventing any background noise from disrupting the customer experience when on phones.</li>
<li>Wifi Speed: Confirmed Wifi Speed of 10Mpbs - Ethernet connection preferred to increase network reliability.</li>
<li>Technical Proficiency: Must possess the technical skills and familiarity with customer support tools necessary to work efficiently in a remote environment, including adherence to Faire’s data privacy and security protocols.</li>
<li>Self-Management and Flexibility: Strong self-management skills are essential for maintaining productivity in a remote setting. The role also requires flexibility to occasionally adjust hours for collaboration across different time zones.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Competitive pay</li>
<li>Comprehensive benefits</li>
<li>Equity</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></description>
      <jobtype>contract</jobtype>
      <experiencelevel></experiencelevel>
      <workarrangement>hybrid</workarrangement>
      <salaryrange>$23.70 CAD per hour</salaryrange>
      <skills>customer service, phone support, CRM tools, problem-solving, communication</skills>
      <category>Customer Service</category>
      <industry>Technology</industry>
      <employername>Faire</employername>
      <employerlogo>https://logos.yubhub.co/faire.com.png</employerlogo>
      <employerdescription>Faire is a technology wholesale platform that connects independent retailers with suppliers globally.</employerdescription>
      <employerwebsite>https://www.faire.com</employerwebsite>
      <compensationcurrency>CAD</compensationcurrency>
      <compensationmin>0</compensationmin>
      <compensationmax>23.7</compensationmax>
      <compensationinterval>hourly</compensationinterval>
      <applyto>https://yubhub.co/jobs/job_f79d14f8-5b2/</applyto>
      <location>Kitchener-Waterloo, ON</location>
      <city>Kitchener-Waterloo</city>
      <state>ON</state>
      <postalcode></postalcode>
      <country>CA</country>
      <postedate>2026-10-26</postedate>
    </job>
  </jobs>
</source>