THE ROLE

Senior Product Manager, Fulfillment WMS

We are seeking a Senior Product Manager, Fulfillment WMS to join our growing team. In this role, you will own the foundation of our warehouse fulfillment ecosystem—spanning both warehouse integrations (3PL + partners) and an in-house WMS (MVP → v1). This role sits at the intersection of software, operations, and physical logistics, directly impacting customer delivery experience, fulfillment cost, and our ability to scale. You will define how inventory flows through our network, build the systems that power that movement, and partner closely with operations teams on the ground.

Responsibilities

• Build the middleware + tools that connect external 3PL  warehouses with Quince systems, standardizing inbound/outbound events, inventory signals, SLA monitoring, and capacity + appointment/booking so we can plan and allocate demand reliably.
• Build a pragmatic WMS that can be used in 1P warehouses that reliably supports inbound and outbound, including pick/pack/ship, inventory accuracy (cycle counts), and exceptions. Including the right (mobile) UX and operational controls to scale.
• This role is highly cross-functional, close to “real world” physical movement of inventory and directly moves customer delivery experience, cost, and growth capacity.
• Deeply learn and model warehouse flows (inbound → storage → replenishment → outbound) and constraints (labor, space, equipment, cutoffs, carrier pickups). Translate into product primitives and clear requirements.
• Define the key requirements that help define the target architecture and roadmap for a warehouse integration layer: APIs/EDI where needed, event model, data contracts, observability, and a unified “warehouse connector” approach across partners/sites.
• Build a capacity and booking platform: warehouse calendars, appointment scheduling (inbound/outbound), dock/slot constraints, labor/throughput limits, prioritization rules, and allocation logic tied to demand planning + order promises.
• Warehouse MVP: Deliver a WMS MVP focused on highest-leverage workflows: receiving, putaway, replenishment, pick/pack, ship confirmation, cycle counts, returns (as applicable), and robust exception handling.
• Lead execution with Warehouse Ops, Supply Chain, CX, Finance, and Engineering. Balance urgent operational needs with foundational platform investments.
• Evaluate build vs. buy vs. partner: 3PL capabilities, WMS vendors, dock scheduling solutions, label/carrier tooling, scanning devices, etc. Make pragmatic MVP decisions with a clear migration path.
• Establish controls and monitoring for systems that directly affect shipments and inventory: idempotency, auditability, reconciliation, fallback procedures, on-call playbooks, and staged rollouts by site.

Qualifications

Required: 

• 3–7+ years total experience; 2+ years in product management, ideally building AI agents, human-in-the-loop guided systems, or owning internal platform or enterprise system workflows
• Proven ability to lead complex, cross-functional initiatives that span multiple tools/systems and stakeholder groups
• Technical fluency: Strong with APIs, event-driven systems, integrations (3PL/WMS/ERP/OMS), data contracts, and observability. Comfortable partnering deeply with engineers on architecture tradeoffs.
• Strong analytical mindset: comfortable defining metrics, diagnosing issues, and using data to make prioritization decisions.
• Excellent communicator across executive, business, engineering, and operations audiences

Preferred: 

• Previous experience building operational + real world software (supply chain, logistics, warehouse, marketplace ops tooling, or similar)
• Demonstrated understanding of WMS/warehouse workflows: receiving, inventory, replenishment, picking/packing, shipping, exceptions, cycle counting
• Background in high-growth environments where operational scaling and tooling maturity are evolving quickly
• Comfortable building while operations are evolving; strong change management instincts

THE ROLE

We’re looking for a Principal Product Manager, Sales & Operational Planning (S&OP) to lead the development of Quince’s next-generation planning platform.

In this role, you’ll own the systems that connect demand forecasting, supply planning, inventory optimization, and purchase order execution across our global operations. You’ll sit at the intersection of supply chain and technology, building AI-powered capabilities that enable smarter, faster, and more precise planning decisions.

This is a high-impact role where you’ll define the future of planning at Quince—driving improvements in forecast accuracy, inventory health, and operational efficiency while partnering closely with teams across Merchandising, Supply Chain, Finance, and Engineering.

RESPONSIBILITIES

• Own and scale Quince’s end-to-end S&OP planning platform
• Build ML-driven demand forecasting and planning capabilities
• Develop supply planning and PO optimization workflows, including automated replenishment
• Design inventory allocation strategies across a multi-node warehouse network
• Establish a unified planning data model and integrate systems across key functions
• Launch AI-powered features such as demand sensing, anomaly detection, and scenario simulation
• Modernize the PO lifecycle, including vendor integrations and production tracking
• Build dashboards and tools for forecasting, inventory health, and operational performance
• Drive cross-functional S&OP processes, including weekly and monthly planning cadences
• Define technology strategy, including build vs. buy decisions for planning tools
• Own and improve key metrics like forecast accuracy, inventory turns, and stockout rates

QUALIFICATIONS

Required

• 7+ years of experience, including 5+ years in product management building planning, supply chain, or operations technology platforms
• Deep knowledge of S&OP, demand planning, inventory optimization, or supply chain systems (ERP/MRP/APS)
• Proven track record of building and scaling AI/ML-powered planning or forecasting products
• Technical fluency in data systems, APIs, and modern architectures
• Strong analytical skills (SQL and forecasting experience preferred)
• Proven ability to work cross-functionally and influence across teams
• Comfortable operating in fast-paced, high-growth environments

Preferred

• Experience in e-commerce or DTC businesses with global supply chains
• Familiarity with planning tools (e.g., Anaplan, Kinaxis, o9, SAP IBP)
• Experience with demand sensing or ML-based forecasting
• Knowledge of vendor systems, PO workflows, or production tracking
• Experience with ERP systems such as NetSuite

THE ROLE

Senior/Principal Product Manager, SEO & AEO

Quince is seeking a strategic, hands-on Lead Product Manager for SEO & AEO to drive our next generation of organic growth. This role will sit at the intersection of search innovation, content, and product experience, ensuring Quince’s site structure and storytelling are optimized for both traditional search engines and emerging AI-driven discovery platforms.

You’ll partner closely with Engineering, Marketing, Merchandising, and Creative teams to build scalable, data-informed systems that enhance site performance, elevate product storytelling, and strengthen Quince’s organic authority.

This role is ideal for a product leader who understands both the technical foundations of SEO and the creative power of content—someone who can drive structure, experimentation, and measurable impact in an evolving search landscape.

Key Responsibilities

• Own Quince’s SEO & AEO roadmap, balancing technical excellence with content and authority-building initiatives that enhance brand visibility and organic conversion.
• Partner with Engineering to ensure site architecture, crawlability, and performance meet best-in-class SEO and AEO standards and adapt for AI-powered search environments.
• Collaborate cross-functionally with Marketing, Creative, and Merchandising to develop content that improves product discovery, engagement, and storytelling—particularly across PDPs and category pages.
• Lead AI SEO & AEO innovation, evaluating emerging tools and structured content approaches to enhance scalability, automation, and visibility across AI search ecosystems.
• Measure and optimize performance across traditional and AI search channels using data-driven insights and testing frameworks.

Qualifications

• 7+ years of experience in SEO or AEO, product management, or related growth functions, ideally in ecommerce or consumer brands.
• Strong grasp of both technical SEO (site architecture, schema, metadata, performance), content-led SEO (content authority, link strategies, storytelling), and/or emerging AEO principles (structured data, citation quality, and answer-focused content).
• Proven ability to lead cross-functional teams across engineering, marketing, and creative.
• Experience managing or influencing CMS systems (e.g., Contentful) and structured content workflows.
• Familiarity with emerging AI search technologies (Google SGE, ChatGPT search integrations, etc.).
• Excellent analytical and communication skills; adept at translating data insights into strategy.
• Nice to have: experience using AI-assisted tools to generate or optimize production content (e.g., text, metadata, creative assets).

THE ROLE

Senior Engineering Manager, Growth

We are seeking a Senior Engineering Manager, Growth to join our growing team. This person will build and lead a team of high performing Growth engineers. 

The ideal candidate is someone with experience building tools that optimize marketing campaigns, creative generations and/or performance optimization across various marketing platforms. 

They’re a self-starter, problem-solver and successful in combining technology and data into best-in-class outcomes.  This person is  energized by solving complex business problems and consistently effective in making high-judgment decisions at a rapid pace amidst the frequent ambiguity that comes with charting a course of action with no precedent. Moreover, the ideal candidate is energized by an  environment where strategy, innovation and decision-making are intentionally distributed, where candor, speed and data are highly valued and colleagues at all levels hold each other to unusually high standards on behalf of Quince customers.

Responsibilities

• Lead and build a high performing Growth engineering team and foster a culture of inclusion and collaboration.
• Own business critical efforts on our performance marketing initiatives working closely with the marketing, product, data science and analytics teams to deliver high-quality and high-performance tooling and systems. 
• Collaborate across other engineering teams and data science org to understand and implement business requirements.
• Collaborating with other teams and stakeholders to define and refine requirements, and ensuring that they are translated into actionable tasks/milestones.
• Define performance metrics and drive data-driven decisions.
• Foster strong engineering practices and a culture of quality, experimentation and continuous improvement.
• Drive alignment with leadership and team members along with your management counterparts.

Qualifications

Required: You have excellent computer science fundamentals

• 10+ years of industry experience, including 3+ years leading high-performing engineering teams.
• Proven experience building and leading growth engineering and building performance marketing tools/pipelines. 
• Experience partnering with Data Science to drive performance marketing efficiency
• Experience with A/B testing frameworks and data-driven experimentation.
• Deep familiarity with full-stack development workflows, product ownership, and cross-functional collaboration.
• Demonstrated ability to optimize service availability, performance, and stability through operational excellence.
• Passion for technology, with a strong track record of driving impact in hyper-growth product environments.

Preferred:

• Experience and knowledge in campaign management and ads bidding optimization is a plus. 

THE ROLE

Senior Engineering Manager, MLOps

We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of building and scaling the underlying infrastructure that powers production-grade Machine Learning. You have a deep understanding of the ML lifecycle—from model development and distributed training to automated deployment and real-time monitoring—and you are passionate about treating infrastructure as a product for your "customers": Quince’s Data Scientists and AI Researchers. You are a self-starter who excels at identifying architectural bottlenecks and transforming them into seamless, automated "paved roads" that increase team velocity without sacrificing stability.

Thriving in an environment of rapid growth and ambiguity, you make high-judgment decisions on "build vs. buy" and prioritize technical roadmaps that align directly with e-commerce business outcomes. Above all, you are energized by a culture of distributed decision-making and extreme candor, where you will lead a high-performing team to set new standards for how AI is industrialized at scale to serve Quince customers.

Responsibilities

• Define the MLOps Vision & Strategy: Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.
• Own the "Paved Road" for Production: Build and maintain the end-to-end infrastructure for model training, deployment, and serving, ensuring researchers can move from "idea to production" with zero friction.
• Drive Strategic Prioritization: Partner with business leaders to align infrastructure investments with core e-commerce drivers like real-time personalization, dynamic pricing, and inventory forecasting.
• Lead "Build vs. Buy" Evaluations: Make high-judgment decisions on when to leverage cloud-native services (e.g., SageMaker, Vertex AI) versus building custom internal tools to optimize for cost, speed, and flexibility.
• Guarantee System Scalability & Reliability: Oversee the uptime and performance of production ML services, ensuring the stack can handle massive traffic surges and seasonal spikes without degradation.
• Manage Compute Governance & Costs: Direct the optimization of high-cost computational resources, such as GPU clusters and cloud instances, balancing high-performance training needs with fiscal responsibility.
• Recruit and Mentor Top Talent: Build and lead a high-performing team of ML Infra and DevOps engineers, providing technical coaching, career pathing, and performance management.
• Establish MLOps Standards: Drive the adoption of best practices in CI/CD for ML, Infrastructure as Code (IaC), and automated testing to ensure a modular and maintainable system.
• Bridge the Research-Engineering Gap: Act as the primary cross-functional lead, translating the complex needs of AI Researchers into actionable engineering requirements for the infrastructure team.
• Define and Track Velocity Metrics: Establish KPIs for the infrastructure team, such as model deployment frequency, mean time to recovery (MTTR), and infrastructure cost per inference.
• Champion Operational Excellence: Lead root-cause analyses (RCAs) for production failures and foster a culture of accountability where systemic fixes are prioritized over "quick patches."
• Stay Ahead of the AI Curve: Monitor emerging trends in LLM-ops, vector databases, and real-time feature engineering to ensure Quince’s infrastructure remains competitive and future-proof.

Qualifications

Required:

• 10+ years of industry experience, with at least 3-5 years in a leadership or management role specifically focused on ML Infrastructure, MLOps, or large-scale Data Platform engineering.
• Proven track record of building and scaling MLOps platforms that support the full model lifecycle—from data ingestion and distributed training to real-time inference and monitoring.
• Deep technical expertise in cloud-native infrastructure (preferably AWS) and orchestration tools like Kubernetes (EKS), Docker, and Infrastructure as Code (Terraform/Pulumi).
• Hands-on experience with ML frameworks and tooling, such as PyTorch, TensorFlow, Kubeflow, or SageMaker, and a strong opinion on how to integrate them into a cohesive developer experience.
• Expertise in building and managing Feature Stores and high-throughput data pipelines (using tools like Spark, Flink, or Kafka) to ensure data consistency across training and serving.
• Experience partnering with AI Research and Data Science teams to understand their unique workflows and translate research needs into robust, scalable engineering solutions.
• Strong understanding of CI/CD for ML, including automated testing for models, model versioning, and "blue-green" or "canary" deployment strategies.
• Demonstrated ability to manage high-cost compute resources, with experience optimizing GPU utilization and cloud spend in a hyper-growth environment.
• Excellence in operational leadership, with a history of driving service availability, performance, and stability through rigorous on-call rotations and root-cause analysis.
• A product-oriented mindset, with the ability to treat infrastructure as a platform and prioritize the roadmap based on researcher velocity and business ROI.
• Exceptional communication and influence skills, capable of navigating ambiguity and building consensus across engineering, product, and data science leadership.
• Kindness and high standards: You move fast and push for excellence, but you do so as a supportive team player who fosters a culture of psychological safety and extreme candor.