Software Development Engineer III (Planning and Forecasting)

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.

Responsibilities

Workstream Ownership

• Own a meaningful piece of the planning platform (e.g., feature pipelines, model serving, the experimentation framework, the operator console, or a critical integration) from design through production.
• Make sound technical tradeoffs within your area without escalating every call; collaborate with leadership as needed
• Drive the engineering quality bar within your workstream: testing, observability, performance, and operability

AI-Native Engineering

• Use AI coding tools fluently in your day-to-day work and help raise the bar across the team for how we build with them
• Identify AI-augmented capabilities to ship into the platform itself: LLM-aided observability and root-cause analysis, natural-language operator interfaces over planning data, agentic workflows for routine planning tasks
• Hold the team’s standards on AI-generated code: review rigorously, refactor when needed, and treat AI assistance as leverage, not a free pass

Mentor & Multiply

• Mentor juniors on design, code review, and operational ownership; raise the average level of the engineers around you
• Drive design reviews for your area; bring rigor to architectural decisions and a willingness to hear pushback

Cross-functional Partnership

• Partner directly with data scientists on what the platform should expose for them, and with the planning team’s operators on what they need to do their job better
• Translate fuzzy operational problems into well-shaped engineering work, without waiting for a PM to translate

Qualifications

Required:

• 5-8 years of software engineering experience, with demonstrated ownership of production systems beyond features-on-rails
• Track record of leading workstreams end-to-end with a small team around you
• Strong fundamentals across data systems, APIs, pipeline orchestration, and production operations; comfort with ML-adjacent infrastructure (feature pipelines, model serving, evaluation harnesses)
• AI-native engineering at a level where you can credibly set standards: specific examples of how AI tools changed your shipping cadence, your testing strategy, or the products you’ve built
• Mentorship track record with adjacent engineers who became better because they worked with you
• Bachelor’s degree in Computer Science, Engineering, or equivalent depth of professional experience

Pay Range: $205,000 - $215,000 USD + bonus + equity

WHY QUINCE?

Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

EQUAL OPPORTUNITY & HIRING INTEGRITY

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.

Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.