About the role
ABOUT QUINCE Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First : We prioritize customer satisfaction in every decision. High Quality : True quality means premium materials and rigorous production standards you can feel good about. Essential Design : We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal : Innovation and transparency ensure value for both customers and partners. Social & Environmental Responsibility : We commit to sustainable materials, ethical production, and fair wages. Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. OUR TEAM AND SUCCESS At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence. If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
THE ROLE Software Development Engineer III (Planning and Forecasting) Quince is building its own supply chain planning platform from scratch. As a senior engineer on the Planning Tools team, you’ll lead the build of meaningful slices of that platform: the model-serving infrastructure, the experimentation framework, the operator console, and the integrations that put the planning system at the center of the weekly ordering cadence. You’ll partner directly with the Principal Engineer setting the platform architecture and with the Science team owning the science roadmap, taking their direction and turning it into shipped, reliable systems. You’ll be senior enough to make the local technical calls that don’t need to escalate, and to mentor the engineers around you. And you’ll be in a small enough team that your work will visibly compound. We expect AI-native engineering throughout. Not just personally fluent with AI coding tools, we expect you’ll be one of the people on this team setting the standard for how AI shows up in our development workflow, our test strategy, our observability, and the operator-facing capabilities we ship. The ideal candidate has 5-8 years of production engineering experience, with real ownership of non-trivial systems behind them. They’ve led workstreams through scoping, designing, and shipping with a small group around them, and mentored junior engineers along the way. They’re technically opinionated but collaborative; they argue for what they think is right and accept being shown a better answer. They’ve built data-intensive or ML-adjacent systems before - not necessarily as the data scientist in the room, but as the engineer who knows enough to make models run reliably in production. And they have lived with the consequences of their architecture choices in operation, not just in design. They are AI-native by reflex. They use AI tools across their development workflow, hold the line on quality of AI-generated output, and are visibly experimenting with where AI shows up in product capabilities like LLM-augmented operator interfaces, AI-assisted incident triage, agentic workflows on top of forecasting and planning data.
