Software Development Engineer, Quince
Planning and Forecasting
$205-215k
+ bonus + equity
Office located in Palo Alto, CA
Affordable luxury fashion & home goods
Be an early applicant
Affordable luxury fashion & home goods
1001+ employees
Be an early applicant
$205-215k
+ bonus + equity
Office located in Palo Alto, CA
1001+ employees
Company mission
To create products of equal or greater quality than the leading luxury brands at a much lower price.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
Recently, there has been more widespread awareness of the alarming waste of resources and environmental impact caused by the fast fashion industry. Recognizing these concerns, Quince is looking to offer a more sustainable alternative to consumers.
Quince is a direct-to-consumer brand that offers high-quality products at lower prices by cutting out the middlemen. The company provides wardrobe staples and home goods, with an emphasis on minimalism, simplicity and timeless designs.
The company works directly with factories to produce inventory on a near-just-in-time basis. By eliminating unnecessary intermediaries, Quince can streamline the supply chain and reduce financial and environmental waste.
This approach allows Quince to ship goods directly to consumers' doorsteps, providing a more efficient and sustainable shopping experience. This has proven very popular, allowing the company to raise significant funding, reach a valuation of $4.5 billion and expand to Canada.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
58% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2026
$500m
SERIES E
Jul 2025
$200m
LATE VC
Total funding: $958m
Company HQ
SoMa, San Francisco, CA
Leadership
Sid Gupta
(CEO & Co-founder)Graduated from Stanford University with an MBA in Finance. Previously the Founder and CEO of Lolli and Pops as well as the Director of Strategy at TechTurn.
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