ABOUT QUINCE
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.
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.
OUR CULTURE
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.
If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.
We’re looking for an Engineering Manager to lead the Data Products team — the engineers who own the ETL pipelines and curated datasets behind Quince’s core business domains.
This is a delivery- and ownership-heavy leadership role. You’ll own the datasets that the business runs on: how they’re modeled, how reliably they land, how well they’re documented, and how much they cost to produce. You’ll lead a team of data engineers embedded against business domains, set the modeling and quality bar across them, and act as the primary engineering partner to Analytics, Marketing, and Product.
If you like turning messy upstream systems into trustworthy, well-modeled data products — and building the team and standards that keep them trustworthy — this role is for you.
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