Product Engineer - Ads

<div class="content-intro"><p><span style="font-weight: 400;"><strong>About Faire</strong></span></p> <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'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.</p> <p>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.</p></div><p><strong>About this role</strong></p> <p>Faire's <strong><em>Ads</em></strong> 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.</p> <p>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.</p> <p>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.</p> <p><strong>What you'll do</strong></p> <ul> <li> <p><strong>Product ownership:</strong> Take advertiser-facing features from problem to launch, including ads manager workflows, campaign controls, and performance reporting.</p> </li> <li> <p><strong>Product judgment:</strong> 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.</p> </li> <li> <p><strong>Technical craft:</strong> 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.</p> </li> <li> <p><strong>AI fluency:</strong> Use AI tooling as a core part of how you deliver impact, from prototyping and coding to reviewing and exploring ideas faster.</p> </li> <li> <p><strong>Data fluency:</strong> Instrument what you ship, then use the data to understand advertiser behavior, evaluate experiment results, and guide where we invest next.</p> </li> </ul> <p><strong>Qualifications</strong></p> <p><em>Must-haves</em></p> <ul> <li> <p>2+ years of full-time software engineering experience shipping product in a production environment.</p> </li> <li> <p>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.</p> </li> <li> <p>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.</p> </li> <li> <p>Background in at least one of: ads / ad tech, large analytics or measurement products, or data engineering (pipelines, ETL, warehousing).</p> </li> <li> <p>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.</p> </li> </ul> <p><em>Preferred</em></p> <ul> <li> <p>Experience with ads manager, campaign management, or other advertiser-facing tools.</p> </li> <li> <p>More than one of the domain backgrounds above (ads + analytics, analytics + data engineering, etc.).</p> </li> <li> <p>Hands-on frontend experience with React or similar.</p> </li> <li> <p>Experience with experimentation or customer-facing reporting.</p> </li&g