Senior Product Designer, Logistics

📍 Job Overview

Job Title: Senior Product Designer, Logistics

Company: Stord

Location: Remote, United States

Job Type: FULL_TIME

Category: Product Design / Operations Technology

Date Posted: 2026-06-24

Experience Level: 5-10 Years

🚀 Role Summary

• Design and own the user experience for Stord's critical Order Management System (OMS) and evolving suite of AI-powered features, directly impacting how brands manage complex logistics and fulfillment operations.

• Translate intricate AI orchestration and rule-management surfaces into intuitive, controllable interfaces for power users in data-dense, high-stakes environments.

• Champion the needs of operators and brands by conducting in-depth user research and translating complex technical concepts into compelling design narratives that drive cross-functional buy-in.

• Establish and document Stord's unique UX patterns for AI-assisted operations, contributing to a scalable design system for AI-native workflows and agentic processes.

• Drive rapid design iteration cycles, leveraging AI design tools and data-informed feedback to deliver high-fidelity, impactful user experiences that enhance conversion, efficiency, and satisfaction.

📝 Enhancement Note: While the title is "Senior Product Designer, Logistics," the responsibilities heavily lean into operational technology design, specifically within order management and AI-driven automation for supply chain operators. This role requires a deep understanding of operational workflows and the ability to design for complex, data-intensive B2B environments. The keywords and responsibilities have been tailored to reflect this operations-centric product design focus.

📈 Primary Responsibilities

• Own OMS & AI Surface Design: Design end-to-end user experiences for Stord’s Order Management System, encompassing order routing, exception handling, fulfillment processes, and inventory management crucial for supply chain operations.

• Design Rule-Management & Automation Surfaces: Create intuitive interfaces for operators to define and manage rules and automations, granting them granular control over complex operational decisions at scale.

• Develop AI Tooling UX: Design AI-powered features for brands across various touchpoints, including chat interfaces, data feeds, search functionalities, and agentic workflows, to streamline operations.

• Implement Human-in-the-Loop Patterns: Design effective human-in-the-loop UX patterns, such as escalation flows, confidence indicators for AI-generated insights, and insight-driven dashboards to support operator decision-making.

• Focus on Data-Dense Environments: Design for power users in data-intensive environments where speed, precision, and immediate comprehension of complex operational states are paramount for efficient workflow management.

• Conduct User Research: Perform qualitative user research with order managers, customer service agents, and operations leads to deeply understand their challenges in navigating complex order states, inventory management, and high-volume fulfillment.

• Translate Technical Complexity: Effectively translate the complexity of AI orchestration and operational logic into design narratives that resonate with and engage engineering and data science teams, fostering a shared understanding of UX outcomes.

• Drive Rapid Design Iteration: Utilize AI design tools for accelerated prototyping and design exploration, and create high-fidelity prototypes to validate concepts before significant engineering investment.

• Establish AI Design Patterns: Define, document, and advocate for Stord's UX standards for AI-assisted operations, creating foundational design system components for AI-native workflows.

• Collaborate with Data Science & Engineering: Partner closely with data science and engineering teams to ensure AI model outputs are structured to support clear, actionable user interfaces, rather than dictating UI design.

• Define Success Metrics: Establish measurable success metrics for designs, directly tied to key operational outcomes such as conversion rates, order completion rates, exception resolution times, and customer satisfaction scores.

• Analyze Performance Data: Analyze user behavior data, A/B test results, and feedback to identify friction points in operational workflows and identify opportunities for continuous optimization.

📝 Enhancement Note: The responsibilities have been expanded to highlight the operational context of designing for OMS, AI tooling in logistics, and the specific user types (operators, brand managers). The emphasis is on designing for control, efficiency, and data-driven decision-making within a supply chain environment.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 6+ years of progressive experience in product design, with a significant focus on designing AI tools, B2B enterprise applications, or complex operational systems.

Required Skills:

• Advanced Figma Proficiency: Mastery of Figma for creating comprehensive design systems, high-fidelity prototypes, and detailed design specifications for engineering handoff.

• AI UX Design Expertise: Proven experience designing user interfaces for AI-powered features, understanding principles of human-in-the-loop systems, agentic workflows, and data visualization for AI insights.

• User Research & Validation: Demonstrated ability to conduct user interviews, usability testing, contextual inquiry, and other research methods to gather actionable insights and validate design decisions.

• Multi-Platform Design: Experience designing responsive and consistent user experiences across various platforms, including desktop, tablet, and mobile interfaces, relevant for operators accessing systems from different devices.

• Prototyping Skills: Ability to create interactive prototypes at varying fidelities to effectively communicate design concepts and test user flows.

• Data-Informed Design: Capacity to leverage quantitative data (A/B test results, analytics) and qualitative feedback to inform design iterations and measure impact.

• Technical Collaboration: Ability to effectively communicate with engineers and data scientists, understanding technical constraints and opportunities to influence product development.

• Logistics/Supply Chain Domain Acumen: Familiarity with or a strong aptitude to quickly learn the complexities of order management, fulfillment, inventory management, and logistics operations.

Preferred Skills:

• AI Design Tool Integration: Literacy and practical experience in integrating various AI tools into the design process for rapid prototyping, ideation, and workflow acceleration.

• Storytelling & Persuasion: Exceptional ability to articulate design vision and user journeys through compelling narratives that gain buy-in from engineering, product, and leadership teams.

• High-Fidelity Execution: Track record of delivering polished, detailed, and production-ready designs that minimize ambiguity for engineering teams.

• White-label or Multi-tenant Design: Experience designing applications that can be customized or adapted to different brand guidelines or client-specific configurations.

• Accessibility Standards: Understanding and application of accessibility standards (e.g., WCAG) to ensure inclusive design practices.

• Experience in Fast-Paced Environments: Proven ability to thrive in startup or scale-up environments characterized by rapid iteration cycles and evolving priorities.

• Portfolio Demonstrating Measurable Impact: A portfolio showcasing case studies with quantifiable improvements in key metrics like conversion rates, completion rates, or user satisfaction.

📝 Enhancement Note: The requirements have been framed to emphasize the operational context. "AI savvy" is expanded to "AI UX Design Expertise" and "AI Tool Enthusiasm" is integrated into the skills. The need for understanding logistics and complex operational systems is explicitly stated.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies Focused on Operational Workflows: Showcase at least 2-3 detailed case studies that demonstrate your process for designing complex operational systems, particularly in logistics, supply chain, or enterprise software.

• Demonstration of Problem-Solving: Clearly articulate the business and user problems you addressed, your design process, and the iterative steps taken to arrive at the final solution.

• Quantifiable Impact & ROI: Include specific metrics and data that illustrate the measurable improvements your designs achieved, such as increased efficiency, reduced error rates, improved conversion, or enhanced user satisfaction within operational contexts.

• Systemic Thinking: Highlight your ability to design for interconnected systems, including integrations, data flows, and how your designs fit into a larger technology stack (e.g., OMS, WMS, CRM).

• AI Integration Examples: If applicable, include examples of how you've designed for AI-assisted workflows, human-in-the-loop processes, or data-driven decision support.

Process Documentation:

• User Research & Discovery: Provide examples of how you've conducted user research with operational stakeholders (e.g., order managers, fulfillment leads) to uncover pain points and requirements.

• Workflow Mapping & Optimization: Showcase your ability to map existing operational workflows and design optimized processes that leverage technology for efficiency and control.

• Prototyping & Testing: Detail your approach to prototyping and usability testing, especially with target users in operational roles, to gather feedback and refine designs.

• Design System Contributions: If applicable, demonstrate experience in creating or contributing to design systems, particularly for enterprise or B2B applications.

📝 Enhancement Note: This section emphasizes the need for a portfolio that demonstrates experience with complex operational systems, quantifiable impact relevant to logistics, and the ability to design for AI-driven operational efficiency.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer role with 6+ years of experience, based in the United States and working remotely, a competitive salary range typically falls between $140,000 - $190,000 USD per year. This estimate is based on industry benchmarks for senior-level design roles in tech companies, considering the specialized nature of logistics and AI product design, and the remote work arrangement within the US market.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision insurance plans to support employee well-being.

• Stock Options/Equity: Opportunity to gain ownership in a rapidly growing company.

• 401(k) Plan: Retirement savings plan with potential company matching.

• Generous Paid Time Off: Vacation, sick leave, and paid holidays to promote work-life balance.

• Professional Development Stipend: Budget for conferences, courses, and learning resources to foster continuous skill growth in product design and AI.

• Remote Work Support: Stipends or resources to ensure a productive and comfortable home office setup.

• Parental Leave: Paid leave for new parents to support family needs.

Working Hours: This is a full-time role, typically requiring approximately 40 hours per week. Stord emphasizes a results-oriented work environment, allowing for flexibility in scheduling as long as core responsibilities are met and collaboration with distributed teams is maintained.

📝 Enhancement Note: A salary range has been estimated based on a Senior Product Designer role in the US tech market, considering the specialized focus on logistics and AI. This is an AI-generated estimate and actual compensation may vary.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics Technology / Supply Chain Management / E-commerce Enablement. Stord operates at the intersection of technology and physical logistics, aiming to revolutionize how brands manage their supply chains and deliver exceptional consumer experiences. This industry context means a focus on efficiency, scalability, data integrity, and real-time operational visibility.

Company Size: Stord is a rapidly growing scale-up company, indicated by its ambition to double revenue and strategic scaling across teams. This implies a dynamic, fast-paced environment where individual contributions have a significant impact, and processes are continually being refined.

Founded: Founded in 2015, Stord has a solid history of innovation and growth in the logistics tech space, evidenced by its substantial investor backing and expansion into Europe. This maturity provides stability while retaining the agility of a growth-stage company.

Team Structure:

• Product & Engineering Focus: The role sits within a product team that likely includes Product Managers, Engineers (Frontend, Backend, Data Science), and other Designers. Collaboration will be tight, especially with those focused on AI and operational systems.

• Cross-Functional Collaboration: Expect to work closely with stakeholders in Operations, Customer Success, Sales, and Marketing to deeply understand user needs and business objectives across the entire customer journey.

• Data-Driven Decision Making: The culture likely emphasizes data analysis and user feedback to inform product strategy and design decisions, crucial for optimizing complex operational systems.

Methodology:

• Agile Development: Stord likely employs agile methodologies (e.g., Scrum, Kanban) for rapid iteration and continuous delivery of software features.

• User-Centric Design: A strong emphasis on understanding and designing for the end-user, particularly operators and brand managers, will be core to the design process.

• AI Integration Strategy: The company is strategically investing in AI, so design processes will need to accommodate the integration of AI capabilities into operational workflows.

Company Website: https://www.stord.com/

📝 Enhancement Note: The company context has been fleshed out to highlight the implications for a designer focused on operational technology, emphasizing the fast-paced, data-driven, and cross-functional nature of the work.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a "Senior" level within Product Design, specifically targeting expertise in designing for complex operational systems like logistics and AI. This implies a significant level of autonomy, ownership, and the expectation to influence product strategy and design direction. It's a role for an individual contributor who can mentor others and tackle ambiguous, high-impact problems.

Reporting Structure: The Senior Product Designer will likely report to a Head of Product Design, Design Lead, or potentially a Group Product Manager overseeing the specific product area (OMS, AI tooling). They will work closely with Product Managers and Engineering Leads for the respective product domains.

Operations Impact: The designs created by this role will have a direct and measurable impact on Stord's core value proposition. By making complex logistics and AI tooling intuitive and efficient, this designer will help Stord's clients (brands) improve their operational efficiency, reduce costs, enhance customer satisfaction, and ultimately drive revenue growth. The success of Stord's software suite is directly tied to its usability and effectiveness in real-world operational scenarios.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a recognized expert and leader in designing AI-assisted operational tools within Stord, shaping future product development.

• Mentorship & Team Development: Potential to mentor junior designers, contribute to design best practices, and influence the growth of the design team.

• Strategic Product Influence: Grow into a role with greater strategic input on product roadmaps, particularly for AI initiatives and core operational platforms.

• Deep Domain Expertise: Develop deep specialization in the logistics and supply chain technology domain, becoming a highly sought-after professional in this niche.

• Cross-functional Leadership: Opportunities to lead design initiatives that span multiple product areas and require significant cross-functional alignment.

📝 Enhancement Note: This analysis focuses on how a Senior Product Designer contributes to operational efficiency and revenue for Stord's clients, and outlines career progression paths relevant to specialized product design roles in tech.

🌐 Work Environment

Office Type: This is a fully remote position within the United States, offering flexibility in terms of work location. Stord fosters a connected remote culture, utilizing digital tools to maintain team cohesion and collaboration.

Office Location(s): While the role is remote, Stord has physical facilities across the United States, Canada, and Europe, indicating a distributed workforce and potential opportunities for occasional in-person team gatherings or offsites, though not a requirement for this role.

Workspace Context:

• Digital Collaboration Hub: Expect to utilize a suite of digital collaboration tools (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.

• Data-Rich Environment: The nature of logistics and operations means working with systems that present significant amounts of data. The workspace should support focused work and data analysis.

• Cross-Functional Interaction: Opportunities for frequent interaction with product managers, engineers, data scientists, and operations experts through virtual meetings and collaborative platforms.

Work Schedule: The role is full-time, typically around 40 hours per week. Flexibility is provided, allowing individuals to structure their workday to optimize productivity and accommodate collaboration across different time zones within the US. This flexibility is beneficial for deep work sessions required for complex design challenges.

📝 Enhancement Note: The remote work environment is detailed, with an emphasis on the digital tools and collaborative practices essential for remote operational technology design.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will assess your resume and portfolio for alignment with the role's requirements, focusing on your experience with complex systems, AI, and logistics.

• Hiring Manager Interview: A conversation with the hiring manager to discuss your experience, design philosophy, approach to problem-solving, and cultural fit. Be prepared to talk through key projects from your portfolio.

• Design Challenge/Portfolio Presentation: You will likely be asked to present a case study from your portfolio in detail, or complete a take-home design challenge focused on a relevant operational problem. This is where you'll demonstrate your process, problem-solving skills, and ability to articulate design decisions.

• Cross-Functional Interviews: Interviews with Product Managers, Engineers, and potentially Operations stakeholders to assess your technical collaboration skills, understanding of operational workflows, and ability to integrate AI into user experiences.

• Final Interview: Potentially a conversation with a senior leader to discuss your vision, strategic thinking, and long-term potential within Stord.

Portfolio Review Tips:

• Focus on Operations & AI: Select case studies that directly showcase your experience designing for complex operational workflows, logistics, or AI-driven features. Highlight the "why" behind your design choices in these contexts.

• Structure for Clarity: For each case study, clearly outline the problem, your role, the process you followed (research, ideation, iteration, testing), your solutions, and the measurable impact. Use visuals effectively.

• Demonstrate Impact with Data: Quantify your achievements. Instead of saying "improved user experience," state "reduced order processing time by 15%" or "increased AI-generated insight adoption by 20%."

• Showcase Your Process: Detail your user research methods, how you collaborated with technical teams, and how you iterated based on feedback. Highlight your ability to handle ambiguity.

• Tailor Your Presentation: Be ready to adapt your presentation to the specific interviewer's background (e.g., emphasize technical collaboration for engineers, business impact for PMs).

Challenge Preparation:

• Understand Stord's Business: Research Stord's mission, services, and target customers. Understand the challenges in the logistics and e-commerce fulfillment space.

• Embrace Operational Thinking: Think about the day-to-day challenges of order managers, fulfillment staff, and brand operators. What are their pain points? How can technology, especially AI, alleviate them?

• Practice Articulating Trade-offs: Be prepared to discuss design trade-offs (e.g., speed vs. perfection, control vs. automation) and justify your decisions based on user needs and business goals.

• Prepare for AI-Specific Questions: Think about how you would design for AI transparency, error handling, confidence levels, and human oversight in operational contexts.

📝 Enhancement Note: The application process and portfolio review have been detailed with specific advice for a designer targeting operational technology and AI, emphasizing the need to showcase quantifiable impact and relevant case studies.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, and design system management. Expect extensive use for creating high-fidelity mockups and interactive prototypes.

• AI Design Assistants: Enthusiasm for and literacy in using AI-powered design tools (e.g., Uizard, Galileo, Midjourney for ideation, or AI plugins within Figma) to accelerate design velocity and exploration.

• Prototyping Tools: Beyond Figma, potentially other tools for advanced interactivity or specific testing needs.

Analytics & Reporting:

• Product Analytics Platforms: Familiarity with tools like Amplitude, Mixpanel, or Pendo for tracking user behavior, analyzing conversion funnels, and identifying optimization opportunities within operational workflows.

• Data Visualization Tools: Experience interpreting data from dashboards and reporting tools (e.g., Tableau, Looker) to inform design decisions.

CRM & Automation:

• CRM Systems: While not a direct design tool, understanding how CRM systems (like Salesforce) integrate with broader operational platforms can be beneficial.

• Workflow Automation Tools: Awareness of how automation plays a role in logistics and operations, and how design can support these automated processes.

• Collaboration & Communication: Slack for real-time communication, Zoom for meetings, Miro for whiteboarding and ideation, Jira for project tracking.

📝 Enhancement Note: The tools section highlights Figma as primary, emphasizes the expectation to use AI design tools, and includes relevant analytics and collaboration platforms common in tech companies focused on data-driven product development.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A deep-seated commitment to understanding and solving the real-world problems of Stord's clients (brands) and their operational users. This means designing solutions that genuinely improve efficiency and reduce friction in complex logistics.

• Bias for Action & Velocity: A culture that values rapid iteration, quick decision-making, and shipping valuable features efficiently, balanced with thoughtful design.

• Data-Informed Decisions: Relying on data, user research, and performance metrics to guide design strategy and product development, ensuring solutions are effective and impactful.

• Collaboration & Transparency: Open communication, shared ownership, and a willingness to collaborate across disciplines (design, engineering, product, operations) to achieve common goals.

• Innovation & Adaptability: Embracing new technologies like AI and adapting to the evolving landscape of supply chain management and e-commerce.

Collaboration Style:

• Cross-Functional Partnership: Design is seen as a strategic partner, working closely with Product Management to define "what" to build and Engineering to define "how" it's built. Close collaboration with Operations stakeholders is crucial for domain expertise.

• Feedback-Driven Improvement: An environment where constructive feedback is regularly exchanged and utilized to refine designs and processes.

• Shared Ownership of Outcomes: The team takes collective responsibility for the success of the product, focusing on achieving key business and user metrics together.

📝 Enhancement Note: The culture and values are framed to resonate with operations professionals, emphasizing efficiency, data, and customer impact, which are core tenets in operational excellence.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: The primary challenge is translating highly complex, data-intensive operational workflows and AI logic into intuitive, usable interfaces for power users. This requires deep empathy and analytical skill.

• Balancing AI Control and Automation: Designing effective human-in-the-loop systems where users feel in control of AI-assisted decisions, avoiding the "black box" perception while still leveraging automation benefits.

• Rapid Iteration in a Growth Environment: Keeping pace with Stord's rapid growth and evolving product roadmap while maintaining high design quality and strategic foresight.

• Cross-Disciplinary Communication: Effectively bridging the gap between design, engineering, data science, and operations to ensure a cohesive and effective product.

• Defining AI UX Standards: Contributing to the establishment of novel and scalable design patterns for AI within an operational context, which is a frontier in UX design.

Learning & Development Opportunities:

• AI UX Specialization: Deepen expertise in designing for AI, machine learning, and agentic workflows, a highly in-demand skill set.

• Logistics & Supply Chain Domain Mastery: Become a subject matter expert in the intricacies of e-commerce fulfillment and logistics technology.

• Influence Product Strategy: Gain opportunities to shape the product roadmap and strategy for core Stord platforms.

• Mentorship and Leadership: Develop leadership skills by mentoring junior designers and leading design initiatives.

• Industry Exposure: Attend relevant conferences or pursue certifications in UX design, AI, or logistics technology.

📝 Enhancement Note: Challenges and growth opportunities are tailored to the specific demands of designing for operational technology and AI, highlighting skill development in these cutting-edge areas.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex operational system. What were the key challenges, your process, and the measurable impact?"

  • Preparation: Focus on a case study from your portfolio that best illustrates your ability to handle intricate workflows, data-dense environments, and achieve tangible operational improvements. Emphasize your iterative process and data-driven validation.

• "How would you approach designing an AI feature that helps order managers resolve exceptions faster?"

  • Preparation: Think about the user's current workflow, potential AI interventions, how to present AI confidence/recommendations, mechanisms for human oversight/correction, and how to measure success (e.g., resolution time, accuracy). Discuss user research needs.

• "Walk us through your process for collaborating with engineering and data science teams on an AI-powered feature."

  • Preparation: Discuss how you establish shared understanding, present design requirements, manage technical constraints, and iterate based on feasibility and model outputs. Highlight your ability to speak their language.

Company & Culture Questions:

• "What excites you about Stord's mission and the logistics tech space?"

  • Preparation: Research Stord's business model, market position, and recent news. Connect your passion for design with their goal of improving consumer experiences through supply chain innovation.

• "How do you ensure your designs are user-centric, especially when dealing with complex B2B operational users?"

  • Preparation: Detail your user research methodologies, how you build empathy for your users, and how you incorporate their feedback throughout the design process.

• "How do you balance design perfection with the need for rapid shipping velocity in a startup environment?"

  • Preparation: Discuss your pragmatism, your ability to prioritize, and your understanding of MVPs and iterative development. Highlight your experience with design systems and efficient prototyping.

Portfolio Presentation Strategy:

• Tell a Compelling Story: Structure your case study presentation as a narrative, guiding the interviewers through the problem, your journey, and the impactful solution.

• Focus on "Why" and "How": Clearly articulate your rationale behind design decisions and the specific methods you used. Avoid just showing final screens.

• Highlight Metrics & Impact: Dedicate time to showcasing the quantifiable results of your work. This is crucial for demonstrating your value in an operations-focused role.

• Showcase Collaboration: If possible, describe how you worked with cross-functional teams and incorporated their input.

• Be Ready for Deep Dives: Anticipate in-depth questions about your process, technical considerations, and design trade-offs.

📝 Enhancement Note: The interview preparation section provides specific, actionable advice tailored to a Senior Product Designer role focused on logistics and AI, guiding candidates on how to best present their skills and experience.

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📌 Application Steps

To apply for this Senior Product Designer, Logistics position:

• Submit your application through the provided Workday link.

• Curate Your Portfolio for Impact: Select 2-3 of your strongest case studies that specifically highlight your experience designing complex operational systems, AI-powered features, or logistics/supply chain applications. Ensure each case study clearly articulates the problem, your process, your specific contributions, and most importantly, the quantifiable impact (e.g., efficiency gains, cost reduction, satisfaction improvements).

• Tailor Your Resume: Emphasize keywords related to product design, UX, AI UX, logistics, order management, B2B design, user research, Figma, and any experience with operational technology. Quantify achievements wherever possible.

• Prepare Your Portfolio Presentation: Rehearse presenting your chosen case studies, focusing on storytelling, articulating your design process, and clearly demonstrating the impact of your work. Be ready to discuss your approach to collaboration with engineering and data science teams.

• Research Stord's Business: Familiarize yourself with Stord's services, target market, and mission. Understand the challenges within the logistics and e-commerce fulfillment industry to better frame your experience and enthusiasm during interviews.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.