Software Development Engineer II (Planning and Forecasting)

TL;DR

Software Development Engineer II (Planning and Forecasting): Build Quince’s supply chain planning platform from scratch, covering forecasting, inventory placement, vendor management, and weekly ordering cadence with an accent on data pipelines, model-serving infrastructure, and operator-facing tools. Focus on shipping production-ready, well-tested code AI-natively while owning services end-to-end and improving operational health through monitoring, dashboards, runbooks, and alerts.

Location: Palo Alto, California, United States

Salary: $162,000 - $182,000 USD + bonus + equity

Company

Quince is a tech company building AI-driven retail and supply chain planning capabilities for a direct-to-consumer model.

What you will do

• Implement features end-to-end across data pipelines, model-serving plumbing, integrations with vendor and order management systems, and operator-facing tooling.
• Own the quality of shipped code: typed, tested, observable, and easy for the next engineer to maintain.
• Use AI coding tools as a default workflow for scaffolding, refactors, test generation, and exploratory data analysis, with strong judgment to verify results.
• Operate and improve the services and pipelines you build by monitoring, responding to alerts, and fixing failures.
• Collaborate with planning operators and data scientists, participate in design reviews, and contribute to engineering hygiene through rigorous code reviews.

Requirements

• 2 to 4 years of professional software engineering experience shipping production systems.
• Strong fundamentals in data structures, algorithms, debugging, and clean code.
• Comfort across the stack: data pipelines, APIs, and basics of model-serving or ML infrastructure.
• Demonstrable AI-native engineering practice: regular use of AI coding assistants, AI-augmented testing, and AI-augmented data exploration.
• Comfort with ambiguity and a bias to ask rather than assume.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Culture & Benefits

• Early engineer on a team that builds (not maintains), shipping first production cuts of forecasting and planning components.
• Short feedback loop between shipped code and operational impact for supply chain users.
• AI-augmented development is expected as part of the default workflow, including reviewing AI-generated code with the same rigor.
• Operational health improvements (dashboards, runbooks, alerts) are integrated into feature work.
• Compensation includes base salary plus bonus and equity within the posted pay range.

Hiring process

• Interviews via phone, in person, or through Google Meets or Zoom.
• Offers are merit-based and communicated verbally, followed by written confirmation.