Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Voxel

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Design / GTM Operations

Date Posted: 2026-04-10

Experience Level: 2-5 years

Remote Status: Hybrid (with emphasis on customer site visits)

🚀 Role Summary

• Drive product innovation by designing user-centric experiences for complex computer vision and AI-powered operational solutions.

• Collaborate closely with product management, engineering, and directly with customers to translate operational challenges into intuitive digital products.

• Build rapid prototypes and conduct user research to validate design decisions and gather critical customer insights for product iteration.

• Contribute to shaping the product roadmap and design strategy in a fast-paced Series B startup environment.

📝 Enhancement Note: While the title is "Product Designer," the description emphasizes a hands-on, customer-facing role that directly impacts operational efficiency and safety. This suggests a strong GTM (Go-To-Market) operational aspect, requiring designers to understand and solve real-world operational problems, not just pixel-pushing. The focus on "building something real" and understanding "how warehouses actually run" highlights the operational context.

📈 Primary Responsibilities

• Engage directly with customers on-site to understand operational workflows, identify pain points, and gather requirements for computer vision and AI solutions.

• Develop and iterate on user flows, wireframes, prototypes, and high-fidelity designs for Voxel's platform, ensuring ease of use and effectiveness in operational settings.

• Conduct user research and usability testing to validate design hypotheses, gather feedback, and inform product decisions.

• Collaborate with engineering teams to ensure seamless implementation of designs, providing clear specifications and support throughout the development lifecycle.

• Contribute to the overall product strategy by translating customer insights and market trends into actionable design recommendations.

• Champion a user-centered design approach, advocating for the needs of operational end-users within the product development process.

• Build functional prototypes using modern AI tools and design software to quickly test and demonstrate design concepts.

📝 Enhancement Note: The primary responsibilities are framed to emphasize the direct impact on operational efficiency and safety, aligning with GTM goals. The expectation to visit customer sites and directly influence product strategy indicates a strategic role beyond typical UX design.

🎓 Skills & Qualifications

Education: Not specified, but a degree in Design, Human-Computer Interaction, or a related field is often preferred. The emphasis is on demonstrated ability and portfolio over formal education.

Experience: Approximately 3–5 years of experience in product design, UX design, or a similar role, with a strong preference for candidates who have built and shipped real products.

Required Skills:

• Proven ability to design user-centered experiences for complex software applications, ideally within B2B or industrial contexts.

• Proficiency in building functional prototypes and using modern design and collaboration tools (beyond just Figma, as explicitly stated).

• Experience utilizing AI tools (e.g., Claude Code, Cursor, Replit, v0) for design and development tasks.

• Strong user research and usability testing skills, with the ability to translate findings into actionable design improvements.

• Excellent visual craft and the ability to communicate design rationale clearly through sketches, wireframes, and prototypes.

• A deep sense of curiosity and the ability to ask insightful questions about how operations function.

• Comfort working with ambiguity in a fast-paced startup environment.

Preferred Skills:

• Experience in computer vision, machine learning, or AI-related product design.

• Familiarity with operational environments such as warehouses, manufacturing facilities, or construction sites.

• Experience contributing to product strategy and roadmap development.

• Portfolio demonstrating impactful product design decisions and outcomes, particularly those involving AI or complex systems.

📝 Enhancement Note: The explicit mention of "not looking for someone whose primary tool is still Figma" and "Design process devotees" indicates a need for designers who are adaptable, outcome-oriented, and embrace newer technologies and methodologies, particularly those involving AI and rapid iteration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least one significant project where you actively used AI tools to solve a problem or build a feature, detailing the product decisions made and the rationale behind them.

• Include case studies demonstrating your ability to understand complex operational workflows and translate them into simple, effective user experiences.

• Highlight projects where you visited customer sites or engaged deeply with end-users to gather insights that directly shaped product design.

• Demonstrate a clear understanding of how your design decisions fit into the broader product strategy and contribute to business outcomes.

Process Documentation:

• Evidence of how you approach user research and problem definition in ambiguous environments.

• Examples of your collaborative process with engineering teams, showcasing how you facilitate efficient implementation.

• Documentation of how you measure the impact of your design decisions and iterate based on user feedback and operational outcomes.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating practical application of AI tools, understanding operational contexts, and driving tangible outcomes, rather than just showcasing aesthetic design skills.

💵 Compensation & Benefits

Salary Range: $110,000 - $150,000 USD per year.

Benefits:

• Extensive and generous health, dental, and vision insurance coverage.

• Highly competitive paid parental leave and a supportive system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and/or flexible work arrangements.

• Daily meals provided in the office, vibrant company events, and team-building activities.

• 401K retirement plan, Health Savings Account (HSA) options, and pre-tax commuter benefits.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility. The role requires customer site visits, which may necessitate adjustments to the typical work schedule.

📝 Enhancement Note: The salary range is competitive for a Product Designer role in San Francisco with 3-5 years of experience. The benefits package is comprehensive, reflecting a strong commitment to employee well-being and long-term commitment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Computer Vision, Machine Learning, AI, Operations Technology, Safety Technology. Voxel is operating at the cutting edge of AI application for industrial and operational environments, aiming to significantly reduce costs associated with accidents and inefficiencies.

Company Size: Series B startup. This implies a dynamic, fast-paced environment with a lean team structure, offering significant opportunities for individual impact and ownership.

Founded: Voxel is a relatively young company (founded post-2017, likely, given Series B status), indicating a culture of innovation, agility, and rapid growth.

Team Structure:

• The product design team is small, with the candidate being the second product designer, working closely with the Head of Product Design.

• The product team, including design, is integrated closely with engineering and customer-facing roles.

Methodology:

• Data-driven decision-making, leveraging computer vision and AI to provide actionable insights for operations.

• Customer-centric approach, with a strong emphasis on understanding real-world operational challenges and user needs.

• Agile development methodology, prioritizing rapid iteration, prototyping, and shipping value to customers quickly.

• Emphasis on outcomes and impact over rigid processes or ceremonies.

Company Website: https://voxelai.com

📝 Enhancement Note: The company culture is described as visionary, demanding, and focused on building an extraordinary business. The emphasis on "absolute best" suggests a high-performance environment. The integration of AI and computer vision into operational safety and efficiency is a key differentiator.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an early, impactful designer within a growing startup. It offers the opportunity to significantly shape the product's design language, user experience, and future direction. It's a hands-on "builder" role with significant responsibility for user outcomes.

Reporting Structure: The Product Designer will report directly to the Head of Product Design. Collaboration will be tight with engineering leads and product managers.

Operations Impact: The designer's work will directly influence the safety of essential workers and the operational efficiency of businesses, leading to substantial cost savings and risk reduction. This role has a direct line of sight to business impact through improved product adoption and customer satisfaction.

Growth Opportunities:

• Design Leadership: As Voxel grows, there will be opportunities to lead design initiatives, mentor junior designers, and potentially build out a design team.

• Specialization: Deepen expertise in designing for AI/ML products, computer vision applications, and complex industrial/operational environments.

• Product Strategy: Gain significant experience in shaping product strategy, from initial concept to market launch, within a high-growth startup context.

• Cross-functional Expertise: Develop strong working relationships and understanding across engineering, product management, sales, and customer success.

📝 Enhancement Note: The growth trajectory is tied to the company's expansion, offering a chance to grow from an individual contributor role into a leadership position, influencing product strategy and design culture.

🌐 Work Environment

Office Type: Hybrid work model, with a significant emphasis on in-office collaboration and customer site visits. The description mentions "Daily meals in-office," suggesting a focus on creating a vibrant in-office experience.

Office Location(s): San Francisco, California. While the role is remote-eligible within the US, the hybrid nature suggests that proximity to a Voxel office or a willingness to travel for team events and customer visits is expected.

Workspace Context:

• A collaborative environment where designers work closely with product and engineering.

• Access to modern tools and technology, with an emphasis on AI-powered design solutions.

• Opportunities for direct interaction with customers and understanding their real-world operational environments.

• A culture that values hands-on building, rapid iteration, and direct impact.

Work Schedule: While the core work is full-time (approx. 40 hours/week), the need for customer site visits may require flexibility. The company offers "generous paid time off and/or flexible work arrangements," indicating a balance between demanding work and employee well-being.

📝 Enhancement Note: The hybrid nature, coupled with customer site visits, implies a need for flexibility and a willingness to engage both remotely and in-person, prioritizing hands-on problem-solving in diverse environments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio, focusing on demonstrated experience with AI tools, operational problem-solving, and impactful design outcomes.

• Design Challenge/Portfolio Review: A deep dive into your portfolio, discussing specific projects, design decisions, and the impact of your work. Expect to present case studies, potentially including a small, focused design challenge related to Voxel's domain.

• Cross-functional Interviews: Conversations with members of the product and engineering teams to assess collaboration style, technical understanding, and cultural fit.

• Hiring Manager/Head of Product Design Interview: Discussion about your approach to design strategy, leadership potential, and alignment with Voxel's vision.

Portfolio Review Tips:

• Prioritize AI & Operations: Feature projects that clearly demonstrate your ability to design with or for AI, and your understanding of operational contexts.

• Show, Don't Just Tell: Use case studies to walk through your design process, from problem identification to solution implementation and impact. Be ready to discuss the "why" behind every decision.

• Highlight Builders & Outcomes: Emphasize projects where you built tangible things and can quantify the positive outcomes (e.g., increased efficiency, reduced risk, improved user satisfaction).

• Embrace Ambiguity: Be prepared to discuss how you navigate uncertainty and contribute to defining solutions when requirements are not fully defined.

• Beyond Figma: Showcase your comfort with a variety of tools and your willingness to explore new methods for rapid prototyping and ideation.

Challenge Preparation:

• Understand Voxel's core technology (computer vision, AI) and its application in operational safety and efficiency.

• Be ready to articulate how you would approach understanding a new operational environment (e.g., a warehouse) and identifying design opportunities.

• Prepare to discuss how you would collaborate with engineers to build and iterate on a product quickly.

📝 Enhancement Note: The interview process is designed to assess not just design skills, but also a candidate's proactive, builder mentality, customer empathy, and ability to thrive in a dynamic, AI-focused startup.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: While not strictly limited to Figma, expect proficiency in modern UI/UX design and prototyping tools. The emphasis is on versatility and speed, potentially including tools like ProtoPie, Framer, or even code-based prototyping.

• AI Design Tools: Experience with or a strong willingness to learn tools like Claude Code, Cursor, Replit, v0, and similar AI-assisted design and development platforms.

• Collaboration: Tools for team communication and project management (e.g., Slack, Asana, Jira).

Analytics & Reporting:

CRM & Automation:

• Exposure to CRM systems (e.g., Salesforce, HubSpot) and marketing/sales automation platforms can provide context for how B2B products integrate into customer workflows.

📝 Enhancement Note: The explicit call-out against "only Figma" implies a need for designers who are adaptable and embrace emerging AI-powered tools that can accelerate the design and development lifecycle, aligning with the company's focus on innovation and speed.

👥 Team Culture & Values

Operations Values:

• Curiosity: A deep, intrinsic drive to understand how things work, especially complex operational systems and user behaviors.

• Builder Mentality: A proactive, hands-on approach to creating solutions and bringing ideas to life quickly.

• Outcome-Oriented: Focus on delivering tangible results and impact rather than adhering strictly to prescribed processes.

• Customer Empathy: A genuine commitment to understanding and solving the real problems of end-users in operational settings.

• Collaboration: Working effectively across teams to achieve shared goals, making engineering jobs easier.

Collaboration Style:

• Integrated Teams: Designers are part of product teams that are closely aligned with engineering.

• Direct Communication: Expect frequent, direct communication with product managers, engineers, and customers.

• Iterative Feedback Loops: A culture that encourages rapid feedback, experimentation, and learning from both successes and failures.

• Shared Ownership: A collective responsibility for product success and customer satisfaction.

📝 Enhancement Note: The core values emphasize a proactive, problem-solving approach that is crucial for a startup environment focused on disrupting traditional operational practices with AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating a rapidly evolving product roadmap and defining solutions for complex, often ill-defined operational problems.

• Bridging the Physical and Digital: Translating real-world, physical operational environments and safety concerns into effective digital experiences.

• Rapid Iteration & Learning: Keeping pace with fast-moving AI advancements and quickly incorporating them into product design while maintaining a focus on user outcomes.

• Customer Site Engagement: Effectively conducting research and building rapport in potentially challenging industrial or operational settings.

Learning & Development Opportunities:

• AI Design Frontier: Gaining hands-on experience with cutting-edge AI tools that are revolutionizing the design process.

• Impactful Product Development: Contributing directly to a product that addresses significant real-world problems in safety and operational efficiency, affecting millions of workers.

• Startup Growth Experience: Learning how to scale product design within a high-growth startup, from early stage to significant market presence.

• Cross-functional Acumen: Developing a deep understanding of engineering, product management, and Go-To-Market strategies.

📝 Enhancement Note: The challenges are framed as opportunities for significant learning and professional development, particularly in the rapidly evolving field of AI-driven product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you visited a customer site to understand their operational challenges. What did you learn, and how did it influence your design?" (Focus on your process for user immersion and insight extraction.)

• "How would you approach designing a new feature for Voxel that uses AI to predict potential safety hazards in a warehouse? What are the key considerations?" (Demonstrate your strategic thinking, understanding of AI application, and user-centricity.)

• "Tell me about a project where you used AI tools to accelerate your design process or build a prototype. What was the outcome?" (Highlight your builder mentality and adoption of new technologies.)

Company & Culture Questions:

• "What excites you about Voxel's mission to improve operational safety and efficiency with computer vision and AI?" (Show genuine interest and alignment with the company's goals.)

• "How do you handle ambiguity and work with incomplete information in a startup environment?" (Describe your adaptable and proactive approach.)

Portfolio Presentation Strategy:

• Tell a Story: For each project, frame it as a narrative: the problem, your role, your process, the solutions you designed, and the impact achieved.

• Focus on "Why": Be prepared to deeply explain the rationale behind every design decision, especially those driven by customer insights or AI capabilities.

• Showcase AI & Prototyping: Clearly highlight any projects involving AI tools or rapid prototyping, demonstrating your modern skill set.

• Quantify Impact: Whenever possible, use metrics or specific examples to illustrate the success of your designs (e.g., "reduced error rate by X%", "improved task completion time by Y%").

• Be Candid: Discuss challenges, trade-offs, and what you learned from each project. This demonstrates self-awareness and a growth mindset.

📝 Enhancement Note: Interview preparation should focus on demonstrating a proactive, builder mindset, a deep understanding of operational contexts, and a comfort with AI-driven design, rather than just traditional UX process adherence.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Tailor Your Portfolio: Curate your portfolio to prominently feature projects where you've used AI tools, tackled complex operational challenges, or demonstrated significant user impact. Focus on case studies that showcase your builder mentality and problem-solving approach.

• Optimize Your Resume: Highlight your experience with AI-powered design, customer-facing research, and rapid prototyping. Use keywords from the job description such as "computer vision," "machine learning," "AI tools," "operational efficiency," and "customer insights."

• Prepare Your Narrative: Practice articulating your design process, your reasoning behind key decisions, and the outcomes of your projects, especially those involving innovation and speed. Be ready to discuss how you approach ambiguity and collaborate with engineering.

• Research Voxel: Understand Voxel's mission, technology, and target market deeply. Be prepared to discuss how your skills and experience align with their vision for transforming operational safety and efficiency.

⚠️ 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.

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