Stitch Fix

Product Manager

• Lead the Product Evaluation & Assortment Platform team
• Shape how Stitch Fix evaluates and learns about new products
• Drive system transformation toward a unified merchandising platform
• Partner across merchandising, data science, and engineering

Product Manager – Evaluation & Assortment Platform

Data Scientist

• Be a primary technical owner of our human-in-the-loop augmented recommendations.
• Work in a team that embraces both LLMs and traditional ML.
• Manage experiments to test new features and communicate results to stakeholders and leadership.
• Solve problems related to recommendation ranking, hyperparameter optimization, and assortment generation.
• Leverage a decade's worth of rich and unique data about clients, merchandise, and their interactions.
• Work with product, product design, and engineering teams to create roadmaps for developing new client products, user features, and infrastructure.

Senior Full-Stack Data Scientist – Client Experience Algorithms

Supply Chain

• Own product strategy and execution across fulfillment platform and logistics capabilities, identifying the highest-impact opportunities across orders, inventory, transportation, and fulfillment execution.
• Build a deep understanding of Stitch Fix’s operations, architecture, data flows, and system dependencies, and use that understanding to make strong product decisions and navigate tradeoffs.
• Partner closely with Operations, Client Experience, and Client Support stakeholders to translate goals, constraints, and budget drivers into clear product strategies, roadmaps, and measurable outcomes.
• Apply first-principles thinking to solve complex, ambiguous problems, improving workflows, decision-making, and operational effectiveness in ways that fit Stitch Fix’s differentiated model.
• Work closely with Engineering, Data Science, and Analytics to deliver solutions that are technically sound, financially rigorous, and operationally effective.
• Identify opportunities to leverage AI, automation, and agentic workflows both in the products we build and in how we accelerate discovery, planning, and execution.
• Drive product strategies to seamlessly integrate and optimize various fulfillment models, leveraging experience with Omni-Retail and Omni-Supply Chain complexity to enhance inventory and operational flexibility.

Product Manager, Supply Chain and Operations Systems

Payroll

• Support accurate and timely biweekly payroll processing for a 5,000+ employee population
• Own larger portions of the payroll cycle including audits, exception management, and payroll validations
• Serve as a subject-matter resource for resolving complex payroll issues
• Identify risk, recommend improvements, and ensure payroll accuracy and compliance
• Validate time and attendance inputs and coordinate corrections
• Independently research and resolve payroll discrepancies
• Perform deeper reconciliations including earnings and deductions variance analysis
• Collaborate with HR, Benefits, and Finance to resolve issues

Payroll Associate

Manager

• build and manage a team of data engineers implementing products and solutions that live at the core of data enablement
• help propel the next generation of our catalog data platform forward
• collaborate with partners across engineering and other teams
• act as a trusted advisor to your team
• focus on applying data and technology principles to business challenges in innovative ways

Manager, Master Data Management – Catalog

• Build the next generation ML systems that transform the way people find what they love.
• Focus on building, productionizing and scaling machine learning models, and promoting engineering excellence.
• Work with data scientists and lead cross-functional collaboration with Strategy, Product, Merchandising, Marketing, and Engineering partners to enhance capabilities.
• Drive step-change improvements in machine learning models through novel research, large-scale experimentation, and production deployment.
• Improve how we serve real-time recommendations in production at scale.

Principal Data Scientist – Foundational Models

Financial Planning and Analysis

• Build reports, financial models, and processes to support financial planning and analysis for the Sales Finance team.
• Analyze financial results, understand key trends, assess current and future business risks and opportunities, and communicate insights.
• Manage and track financial performance against annual budget, seasonal financial plans, and key performance indicators.
• Build strong partnerships with Finance, Merchandising, Operations, and teams across the company to develop annual, quarterly, and monthly budgets and forecasts.
• Conduct ad-hoc analysis and scenario modeling at the request of management business partners to aid in decision-making.
• Analyze large volumes of financial and customer data to develop key insights and present findings to leadership.
• Prepare weekly, monthly, and quarterly reports to be utilized in monthly close and management meetings.
• Assist in month-end close reconciliation of variances between actuals and forecast.
• Assist in ongoing reconciliations of variances across enterprise planning systems, forecast models, and metric databases.

Financial Analyst, Sales

Product Designer

• Own the end-to-end design for Household & Gifting experiences, ensuring clarity, trust, and delight
• Define scalable experience frameworks for cross-LOB shopping, household recommendations, and gifting flows (recipient shipping, returns, refunds)
• Translate legacy architectural constraints into client-right solutions, guiding sequencing and tradeoffs with partners
• Lead discovery and validation to identify and prioritize the highest-impact opportunities for this space
• Contribute patterns and components that support extensibility across consumer journeys
• Collaborate across Product, Engineering, Growth, Marketing, CX, and Data to ensure cohesive experiences onsite and in CRM

Lead Product Designer – Household & Gifting

• Lead the Onboarding Pod
• Pioneer a radically new onboarding experience
• Solve the challenge of creating a low-friction signup flow
• Transform the 'StyleFile' into a modern, shoppable experience
• Reimagine our Landing Page Strategy
• Align marketing targets and technical requirements

Senior Product Manager

Recruitment

• Own the full-cycle technical engine
• Lead the charge on AI-integrated recruiting
• Architect a diverse, high-signal talent pipeline
• Act as a strategic advisor to technical leadership
• Level up our entire recruiting culture

Lead Recruiter, Tech

Security Engineer

• Collaborate to develop innovative security solutions, leveraging the right tools while contributing to design and architecture across multiple systems
• Work closely with the team to develop effective solutions, leveraging the right tools while contributing to design and architecture across multiple systems
• Be the first to step in, tackle challenges head-on, and do what it takes to protect and secure our organization
• Ensure that technology solutions address real business challenges

Principal Security Engineer – Vulnerability Management

Platform Engineer

• Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers
• Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity
• Collaborate with platform and application engineers to identify friction points and implement incremental improvements
• Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines
• Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows
• Have opportunities to propose ideas and improvements, with support and mentorship from the team

Customer Success Manager

• Lead and execute CRM campaigns across Email, Push, and SMS, ensuring all communications are launched accurately and on schedule.
• Own the maintenance and optimization of existing Lifecycle and Transactional workflows, identifying areas to improve customer engagement.
• Lead the QA process for your owned channels, maintaining high standards for technical accuracy and brand consistency.
• Analyze performance data to produce weekly and monthly reports, translating metrics into actionable insights for the broader team.
• Collaborate with Creative and Product teams to coordinate the production of assets that align with our content strategy.
• Contribute to strategic ideation for Batch and Lifecycle campaigns, bringing fresh ideas to enhance the customer experience.