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Senior Engineering Manager, MLOps

quince · Palo Alto, California, United States · Palo Alto, California, United States
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<div class="content-intro"><p><span style="text-decoration: underline;"><strong>ABOUT QUINCE</strong></span></p> <p>Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes  and build and deploy proprietary technology, AI, and analytics to help us scale fast.</p> <p>What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.</p> <p><span style="text-decoration: underline;"><strong>OUR CULTURE</strong></span></p> <p>Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before.</p> <ul> <li>We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA.  Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place.</li> <li>Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. </li> <li>Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory. </li> </ul> <p>If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.</p></div><p data-renderer-start-pos="2290" data-local-id="6a0d0d38-3057-4834-9012-12f09f19e465"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6"><u data-renderer-mark="true">THE ROLE </u></span></strong></p> <p data-renderer-start-pos="2301" data-local-id="6d5afd27-5970-45c1-b675-f5df64663cbf"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">Senior Engineering Manager, MLOps</span></strong></p> <p data-renderer-start-pos="2320" data-local-id="f6597815-fb6f-48c2-a22a-55ab8b3f15f3"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">We are seeking a </span><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">Senior Engineering Manager, MLOps</span></strong> <span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">to join our growing team. </span>The ideal candidate is a technical visionary with a proven track record of building and scaling the underlying infrastructure that powers production-grade Machine Learning. You have a deep understanding of the ML lifecycle—from model development and distributed training to automated deployment and real-time monitoring—and you are passionate about treating infrastructure as a product for your "customers": Quince’s Data Scientists and AI Researchers. You are a self-starter who excels at identifying architectural bottlenecks and transforming them into seamless, automated "paved roads" that increase team velocity without sacrificing stability.</p> <p>Thriving in an environment of rapid growth and ambiguity, you make high-judgment decisions on "build vs. buy" and prioritize technical roadmaps that align directly with e-commerce business outcomes. Above all, you are energized by a culture of distributed decision-making and extreme candor, where you will lead a high-performing team to set new standards for how AI is industrialized at scale to serve Quince customers.</p> <p data-renderer-start-pos="2663" data-local-id="e0c03b8d-8a8f-42ae-b3e9-26b5a2308ae6"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">Responsibilities</span></strong></p> <ul> <li><strong>Define the MLOps Vision & Strategy:</strong> Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.</li> <li><strong>Own the "Paved Road" for Production:</strong> Build and maintain the end-to-end infrastructure for model training, deployment, and serving, ensuring researchers can move from "idea to production" with zero friction.</li> <li><strong>Drive Strategic Prioritization:</strong> Partner with business leaders to align infrastructure investments with co

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