Quince - Principal Engineer
Requirements
• 12+ years of software engineering experience with significant time building data-intensive, ML-adjacent, or science platform systems in production. • Demonstrated 0-to-1 platform ownership, taking a greenfield charter from architecture through production at the pace a fast-growing business demands. • Strong production ML and AI platform engineering experience: feature pipelines, model serving, experiment frameworks, monitoring, drift detection, and the infrastructure modern AI-driven systems need (vector stores, prompt and trace versioning, LLM evaluation harnesses). Not just architect — be able to roll up your sleeves and build. • AI-native engineering practice. You can speak specifically to where AI tooling has changed how you ship, such as code generation, test authoring, and AI-augmented platform features you've put into production, and where you held quality standards against AI assistance because review rigor was needed. • Science literacy as a collaborator; you understand forecasting and optimization models well enough to build great infrastructure around them and partner with scientists as a technical peer. • Strong software engineering fundamentals across the full stack: data systems, API design, pipeline orchestration, and production operations • Strong communication skills, able to work closely with business and product stakeholders to understand requirements, and translate it into an architectural blueprint and roadmap • Preferred: • Experience in supply chain planning, demand forecasting systems, inventory optimization, or logistics operations is strongly preferred; candidates from adjacent domains who can rapidly develop supply chain fluency will also be considered • Experience providing technical direction to geographically distributed engineering teams; hands-on ML or data science background is a genuine plus • All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles. • $265,000 - $300,000 USD
Responsibilities
• AI native Platform Architecture & Build • Architect and build Quince’s proprietary supply chain planning platform from the ground up to be multi-vendor, multi-modal, multi-market, and built to scale. • Design and own the full model pipeline lifecycle, including feature engineering, forecasting tournament framework, evaluation, deployment, monitoring, and refresh, and the experimentation framework that lets scientists iterate safely in production. • Build integrations with vendor management, order management, and inventory platforms so the planning system sits at the center of the weekly ordering cadence • Set the standard for how the team builds with AI — coding assistants, AI-generated tests, AI-augmented data exploration — and hold the line on quality of AI-generated output through review rigor and refactoring. • Architect AI-augmented capabilities directly into the platform: LLM-aided observability and root-cause analysis, natural-language operator interfaces over planning data, agentic workflows for routine planning tasks. • Partner with the science team on the infrastructure that AI-driven models need, such as vector stores, prompt versioning, and evaluation harnesses for LLM-based components, so AI-driven science can run reliably in production alongside statistical and ML approaches. • Operator Tooling • Build the operator-facing layer that makes the platform usable: dashboards, override workflows, audit trails, and alerts that translate model outputs into decisions a planner can act on • Design observability systems that surface model drift, data quality issues, and forecast failures before they propagate into bad orders or stock-outs • Build the feedback loops that let operator overrides inform and continuously improve future model performance • Business Stakeholder Partnership • Work directly with Quince’s planning team and business leadership as a thought partner, synthesizing their operational expertise with your engineering judgment to determine what to build and in what sequence. • Translate business problems, such as in-stock gaps, demand volatility, vendor reliability, and fulfillment split rates, into precise engineering specifications. • Educate stakeholders on system capabilities and trade-offs, building the trust that lets automation and human judgment work in genuine partnership • Technical Leadership • Set the technical direction for the planning tools domain, making architectural decisions that scale with Quince’s trajectory across geographies and order-of-magnitude growth • Partner with engineering teams across logistics, warehouse, and supply chain infrastructure to ensure the planning platform integrates cleanly into the broader ecosystem • Provide technical direction to a globally distributed engineering team, establishing architecture and standards that engineers across geographies can execute within • Recruit and grow a small, elite team around you as the charter expands
Benefits
• $265,000 - $300,000 USD • EQUAL OPPORTUNITY & HIRING INTEGRITY
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