Staff Product Designer
π Job Overview
Job Title: Staff Product Designer
Company: Plug Technologies Inc
Location: Los Angeles, California, United States
Job Type: FULL_TIME
Category: Product Design / UX/UI
Date Posted: 2026-09-16
Experience Level: 6+ Years
Remote Status: On-site
π Role Summary
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Lead end-to-end product design for B2B SaaS platforms, focusing on consumer, dealer, and commercial partner interfaces within the automotive fintech and EV marketplace sector.
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Drive the development and implementation of design systems and AI-forward workflows to enhance team velocity and maintain brand consistency.
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Conduct in-depth customer research, including interviews and usability testing, to deeply understand professional user needs and translate them into intuitive, efficient interfaces.
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Collaborate closely with product managers and engineers to inform product strategy, define trade-offs, and ensure seamless delivery of user-centric solutions.
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Set the standard for design craft, taste, and quality across the organization, acting as a key influencer in product development decisions.
π Enhancement Note: This role is for a senior individual contributor (Staff level) with significant ownership and autonomy. The emphasis on "AI-native" and "AI-forward operations" suggests a company culture that actively integrates AI tools into the design and development process, requiring candidates to have hands-on experience and strong opinions on leveraging AI for efficiency and innovation. The target audience for the B2B SaaS products includes professional users like dealers and commercial partners, demanding a focus on complex workflow design and user trust.
π Primary Responsibilities
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Own the complete design lifecycle for OEM, commercial partner, and dealer-facing applications, from initial concept and user research to final polished product delivery.
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Establish and maintain the company's design system, ensuring scalability, consistency, and efficiency across all product surfaces.
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Define and optimize prototyping and handoff workflows, leveraging AI tools to accelerate the design-to-development process while upholding quality standards.
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Lead direct customer research initiatives, including contextual inquiry and usability testing, to gain first-hand insights into complex B2B workflows.
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Champion an AI-forward mindset within the design team, experimenting with and integrating AI tools to improve design processes and outcomes.
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Drive innovation in how AI is utilized within product, engineering, and design collaborations to enhance team productivity and product capabilities.
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Translate intricate B2B workflows, such as inventory processing, bidding mechanisms, and API-driven integrations, into user interfaces that are simple, fast, and trustworthy for daily professional use.
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Empower cross-functional teams to design independently while ensuring adherence to brand guidelines, craft standards, and customer needs, with your expertise serving as the final arbiter.
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Scale personal impact and team output through AI-powered operations and close partnerships with product and engineering.
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Actively participate in roadmap and prioritization discussions, advocating for the customer's voice with data-backed evidence.
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Engage directly with high-value external partners, including OEMs and commercial accounts, to thoroughly understand their operational workflows and technical constraints.
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Design and iterate on product features based on quantitative data (usage data, session replays) and qualitative research findings.
π Enhancement Note: The responsibilities highlight a blend of hands-on design execution, strategic system building (design systems, workflows), and leadership in adopting new technologies (AI). The focus on "setting the bar" and "final say" indicates a senior role with significant influence on design quality and direction. The emphasis on direct customer interaction with "high-value external partners" suggests a need for strong business acumen and communication skills beyond typical UX/UI roles.
π Skills & Qualifications
Education: Not specified, but a Bachelor's or Master's degree in Design, HCI, or a related field is typically expected for this level.
Experience: 6+ years of experience in product design, with a demonstrated track record of designing and shipping B2B SaaS products for professional or enterprise users.
Required Skills:
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Proven experience in end-to-end product design for complex B2B SaaS applications.
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Excellent customer research skills, including conducting interviews, contextual inquiry, and usability testing to uncover deep user needs.
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Expertise in designing complex workflows such as dashboards, admin tools, partner platforms, and marketplaces, with a focus on simplifying user experiences.
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Comfort and experience operating at the intersection of design, product management, and engineering.
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Hands-on experience building with AI tools and a strong understanding of how AI can transform design workflows and product development.
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Demonstrated judgment in balancing design craft with speed and efficiency, understanding when to apply high-fidelity polish versus rapid iteration.
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A strong builder mentality, characterized by proactivity, ownership, and comfort with fluid roles in a fast-paced startup environment.
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Excellent communication and presentation skills, with the ability to defend design decisions with evidence and influence cross-functional stakeholders.
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A comprehensive portfolio showcasing both design craft and a clear understanding of the design process, including problem framing, iteration, and final solutions. Preferred Skills:
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Prior experience in the automotive, EV, marketplace, or fintech industries.
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Experience defining and scaling design systems.
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Familiarity with AI-powered design tools beyond basic prompt generation (e.g., AI-assisted prototyping, code generation from design).
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Experience working in an AI-native startup environment.
π Enhancement Note: The requirement for "hands-on, shipped experience building with AI tools" and the request to "show us something you have built" as part of the application process are critical. This indicates the company is not just interested in theoretical knowledge of AI but practical application and a willingness to adapt personal workflows. The "builder mentality" and "roles are fluid" points to a startup environment where adaptability and initiative are highly valued.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Demonstrate end-to-end ownership of B2B SaaS product design projects, detailing the problem, your process, your role, and the impact of your solutions.
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Showcase projects that involve designing complex workflows (e.g., data dashboards, administrative tools, partner portals, marketplace functionalities) and how you simplified them for professional users.
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Include case studies that highlight your customer research methodology, demonstrating how you gathered insights and translated them into design decisions.
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Present examples of your work with AI tools, detailing how you leveraged them in your design process and the tangible benefits or efficiencies gained.
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Illustrate your understanding of design systems, showing how you've contributed to or utilized them to ensure consistency and scalability.
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Quantify impact where possible, using metrics related to user engagement, efficiency gains, conversion rates, or user satisfaction derived from your designs. Process Documentation:
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Your portfolio should clearly articulate your design process, emphasizing how you approach problem-framing, user research, ideation, prototyping, user testing, and iteration.
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Detail how you collaborate with product managers and engineers, highlighting your involvement in trade-off discussions and the delivery process, not just final handoffs.
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Showcase how you integrate user feedback and data (qualitative and quantitative, including session replays) into iterative design improvements.
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Provide insight into your approach to defining and scaling design systems and workflows, especially in the context of an AI-native environment.
π Enhancement Note: The emphasis on "how you got to the solution, not just the final screens" and the specific request to "show us something you have built" with AI tools strongly indicate that the portfolio review will be a deep dive into process and practical application. Candidates should be prepared to articulate their methodologies, especially concerning AI integration and complex B2B workflow design.
π΅ Compensation & Benefits
Salary Range: $194,000 - $229,000 annually.
Benefits:
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Comprehensive Health, Vision, and Dental insurance plans.
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401(k) retirement savings plan.
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30 days "work from anywhere" per calendar year, offering flexibility for remote work outside the primary office location.
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Daily lunch stipend to support employees working onsite.
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Equity grants, with specific allocation based on role and performance, providing ownership in the company's success.
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Unlimited Paid Time Off (PTO), allowing for flexible time away from work.
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Fully stocked kitchen at the office.
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Dog-friendly office environment.
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Ongoing opportunities for professional growth and development.
Working Hours: This is a full-time, on-site role. While specific daily hours are not stated, a standard 40-hour work week is implied for a full-time position. The "work from anywhere" benefit suggests flexibility outside core office hours or days.
π Enhancement Note: The salary range provided is based on independent, third-party benchmarking for a Staff Product Designer role in a high-cost-of-living area like Los Angeles, considering the specified experience level and industry. The benefits package is quite generous, particularly the unlimited PTO and the "work from anywhere" policy, which are attractive perks for experienced professionals.
π― Team & Company Context
π’ Company Culture
Industry: Automotive Fintech, Electric Vehicles (EVs), Marketplace Technology. Plug Technologies is positioned at the intersection of these rapidly growing sectors, focusing on building the transaction infrastructure for the used EV market.
Company Size: Plug Technologies is a startup, having raised a $20M Series A. While the exact employee count isn't specified, this typically implies a team size of 50-200 employees, characterized by rapid growth and a dynamic, often fluid, organizational structure.
Founded: Founded in 2023. This indicates a relatively young company with a strong focus on innovation and scaling quickly, likely with a lean and agile operational model.
Team Structure:
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The Product team, which this role is part of, is led by the SVP of Product & Technology.
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This is a senior individual contributor role, implying a focus on hands-on execution and expertise rather than people management, though mentorship is expected.
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The company emphasizes an "AI-native startup team," suggesting strong integration of AI researchers, ML engineers, operators, and product professionals.
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Cross-functional collaboration is crucial, with designers working closely with product managers and engineers from concept to delivery. Methodology:
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AI-Native Workflow: The company actively uses AI in its operations and product development. This means designers are expected to leverage AI tools for efficiency, ideation, and process optimization.
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Data-Driven Decision Making: Designs are iterated upon based on usage data, session replays, experiment results, and qualitative research.
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Agile Development: The startup environment and focus on velocity suggest an agile approach to product development, with rapid iteration and continuous improvement.
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Customer-Centricity: A core tenet is understanding user needs deeply through direct research, especially with B2B partners.
Company Website: https://plugmotors.com/
π Enhancement Note: The company's recent founding and Series A funding suggest a high-growth, ambitious environment. The "AI-native" culture is a significant differentiator and will heavily influence how work is done, requiring candidates to be adaptable and forward-thinking in their approach to design and technology. The mention of "nothing adapted from legacy automotive" highlights a commitment to building new, EV-specific solutions, not just modifying existing ones.
π Career & Growth Analysis
Operations Career Level: Staff Product Designer. This is a senior individual contributor role, typically placed above Senior Designer and below Principal or Director levels. It signifies a high degree of expertise, autonomy, and influence over product direction and design quality. Staff Designers are expected to tackle the most ambiguous and complex problems, set technical and craft standards, and mentor other designers.
Reporting Structure: The Staff Product Designer reports directly to the SVP of Product & Technology. This close proximity to senior leadership provides significant visibility and opportunity to influence strategic decisions.
Operations Impact: The role's impact is direct and substantial. By owning end-to-end design for critical B2B surfaces (OEM, commercial partners, dealers), the designer will shape the core transaction platform for used EVs. This directly influences sales volume, partner satisfaction, operational efficiency, and ultimately, Plug's market position and revenue growth. The emphasis on translating complex workflows into simple, trustworthy interfaces is key to driving adoption and scaling the business.
Growth Opportunities:
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Deepening AI Integration: Opportunity to become a leader in applying AI to design processes, potentially defining new best practices for AI-native design teams.
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Strategic Influence: As a Staff Designer reporting to an SVP, there's ample opportunity to shape product strategy and influence the company's overall direction.
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Domain Expertise: Develop deep expertise in automotive fintech, EV marketplaces, and complex B2B SaaS environments.
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Mentorship & Leadership: While not a people management role, there's an expectation to mentor junior designers and set technical standards, offering leadership development.
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Scaling Impact: Opportunity to build foundational design systems and processes that scale with the company's rapid growth.
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Potential for Future Leadership: Success in this role could pave the way for Principal Designer, Design Lead, or Director-level positions as the company matures.
π Enhancement Note: The "Staff" title implies a need for strategic thinking, problem-solving of ambiguous challenges, and the ability to operate with significant autonomy. The direct reporting line to the SVP is a key indicator of the role's strategic importance and potential for high-impact contributions.
π Work Environment
Office Type: Onsite at their Sawtelle office, located between Santa Monica and West Los Angeles. This area is known for its tech and startup scene. The description mentions a "dog-friendly office" and "fully stocked kitchen," suggesting a comfortable and collaborative workspace designed to attract and retain talent.
Office Location(s): Sawtelle, Los Angeles, California. This location offers access to a vibrant tech community and talent pool.
Workspace Context:
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Collaborative Environment: The company culture emphasizes collaboration, with designers working closely with product and engineering. The onsite nature of the role facilitates spontaneous interactions and team cohesion.
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AI-Forward Tools: Employees are expected to utilize AI tools, indicating access to modern technology and software to enhance productivity.
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Team Interaction: The office environment is designed to foster interaction, supported by amenities like a stocked kitchen and a dog-friendly policy, encouraging a positive and engaged work atmosphere.
Work Schedule: This is a full-time position based onsite. While specific hours are not detailed, a typical full-time schedule is expected. The "30 days work from anywhere" perk offers flexibility for remote work at other times, allowing for a balance between onsite collaboration and personal flexibility.
π Enhancement Note: The "Onsite - Sawtelle" designation means candidates must be willing to work from this specific location. While "work from anywhere" offers flexibility, the core role is office-based, likely to foster the close collaboration and rapid iteration emphasized in the job description.
π Application & Portfolio Review Process
Interview Process:
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Application Submission: Submit resume and portfolio through the provided link.
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Portfolio Review: Expect a thorough review of your portfolio, focusing on end-to-end project ownership, B2B SaaS experience, complex workflow design, customer research methodology, and specifically, your experience with AI tools and their impact. Be prepared to showcase "something you have built" using AI.
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Initial Screening/Hiring Manager Call: Likely a discussion about your background, experience, and fit for the role, with a focus on your approach to design, AI integration, and understanding of B2B/marketplace dynamics.
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Design Challenge/Case Study Presentation: You may be asked to present a case study from your portfolio or tackle a design problem relevant to Plug's business. This will assess your design thinking, problem-solving skills, craft, and ability to articulate your process and decisions.
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Cross-Functional Interviews: Interviews with Product Managers and Engineers to assess collaboration style, communication skills, and ability to work within a cross-functional team.
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SVP Interview: Final interview with the SVP of Product & Technology to discuss strategic alignment, leadership potential, and overall fit with the company's vision and culture.
Portfolio Review Tips:
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Highlight AI Integration: Clearly showcase projects where you leveraged AI tools. Detail how you used them, the specific AI capabilities employed, and the measurable outcomes (e.g., time saved, improved output quality, new possibilities enabled).
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Demonstrate Process Depth: For each project, explain the problem, your role, the research conducted, the design decisions made, the trade-offs considered, and the final impact. Use visuals effectively to illustrate your journey.
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Focus on B2B Complexity: Select projects that demonstrate your ability to design for professional users and complex workflows (e.g., data management, multi-step processes, integration points).
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Quantify Impact: Whenever possible, include metrics that demonstrate the success of your designs (e.g., conversion rates, user satisfaction scores, efficiency gains for users).
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Showcase Craft and Taste: Ensure your portfolio is well-designed, visually appealing, and reflects a high standard of craft.
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Prepare for "Show Us What You Built": Have a specific project ready to present that exemplifies your use of AI in design.
Challenge Preparation:
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Understand Plug's Business: Research Plug Technologies thoroughly β their mission, product offering (EV marketplace, fintech), target users (consumers, dealers, OEMs), and competitive landscape.
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Anticipate B2B Workflow Problems: Think about common challenges in inventory management, vehicle inspection/valuation, bidding processes, and partner integrations within a marketplace.
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Consider AI Applications: How could AI enhance these B2B workflows? Think beyond simple generative text β consider AI for data analysis, predictive modeling, intelligent automation, and personalized user experiences.
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Practice Articulating Trade-offs: Be ready to discuss difficult decisions, compromises made (especially between speed and polish, or different user needs), and how you navigated them.
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Prepare for Questions on Design Systems & Governance: Understand how to build, maintain, and scale design systems, and how to ensure design quality and brand consistency, especially in an AI-augmented team.
π Enhancement Note: The interview process is designed to rigorously assess a candidate's senior-level design skills, strategic thinking, practical application of AI, and ability to thrive in a fast-paced, collaborative startup environment. The portfolio is a critical gate, with a specific emphasis on AI tool usage.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (or similar industry-standard tools like Sketch, Adobe XD) for UI design, wireframing, and prototyping.
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Customer Research & Usability Testing: Tools for conducting interviews, surveys, session recordings (e.g., Hotjar, FullStory), and usability testing platforms.
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Design System Management: Tools and processes for building, documenting, and maintaining scalable design systems.
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AI Design Tools: Explicitly mentioned as a requirement. This could include AI-powered ideation tools, AI assistants for design tasks, AI for generating design variations, or AI-assisted prototyping tools. Specific tools like Claude Design are mentioned, suggesting familiarity with advanced AI conversational models for creative workflows.
Analytics & Reporting:
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Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and iterate on designs based on data.
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Ability to interpret data from session replays and A/B testing results. CRM & Automation:
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While not directly a design tool, understanding how CRM and automation systems function within B2B workflows can be beneficial for designing integrated experiences. Familiarity with how APIs connect different systems is also implied.
π Enhancement Note: The explicit mention of "Claude Design" and the general requirement for "AI tools" indicate that proficiency with cutting-edge AI applications in design is not just preferred but essential. Candidates should be prepared to discuss their experience with specific AI tools and how they integrate them into their workflow beyond basic generative AI.
π₯ Team Culture & Values
Operations Values:
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AI-Native Mindset: A fundamental belief in leveraging AI to fundamentally change how work is done, driving efficiency, innovation, and speed.
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Builder Mentality: A proactive, hands-on approach where individuals take initiative, act decisively, and embrace broad ownership in a fluid environment.
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Craftsmanship & Taste: A commitment to high-quality design execution, attention to detail, and a discerning aesthetic that sets the company's product standards.
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Customer-Centricity: A deep dedication to understanding and serving the needs of users, especially professional B2B partners, through direct research and empathy.
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Velocity & Agility: A culture that values speed, rapid iteration, and the ability to adapt quickly to market changes and technological advancements.
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Data-Driven Decisions: Reliance on quantitative and qualitative data to inform design choices and measure impact, ensuring that design efforts are aligned with business objectives.
Collaboration Style:
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Close Cross-Functional Partnership: Designers work hand-in-hand with product managers and engineers from the outset, participating in problem framing, trade-off discussions, and delivery.
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Empowerment with Governance: Teams are empowered to design independently, but with strong guidance and oversight from senior designers like the Staff Product Designer, ensuring quality and strategic alignment.
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AI-Augmented Teamwork: Collaboration is enhanced by AI tools, enabling smaller teams to achieve greater output and explore more design possibilities.
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Direct Partner Engagement: Designers are expected to engage directly with external high-value partners, fostering strong communication and understanding across organizational boundaries.
π Enhancement Note: The core values revolve around innovation (AI), execution (builder mentality, velocity), quality (craft), and user focus. The collaborative style is highly integrated, blurring traditional lines between roles, which is typical of successful startups.
β‘ Challenges & Growth Opportunities
Challenges:
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Balancing Speed and Craft in an AI-Native Environment: The primary challenge will be leveraging AI and rapid iteration to move fast without sacrificing design quality, brand integrity, or deep user understanding. This requires sophisticated judgment.
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Designing for Complex B2B Workflows: Translating intricate operational processes for dealers, OEMs, and commercial partners into intuitive and trustworthy user interfaces is a significant design hurdle.
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Establishing Design Governance: As the company scales and utilizes AI, ensuring consistent design quality, brand identity, and user experience across all surfaces will be critical.
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Defining the "AI-Forward" Design Process: Pioneering and refining how AI tools are best integrated into the design lifecycle, moving beyond basic usage to strategic application.
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High Autonomy & Ambiguity: Operating as a Staff Designer means tackling ill-defined problems and taking significant ownership, which can be challenging but also rewarding.
Learning & Development Opportunities:
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Mastery of AI in Design: Become a subject matter expert in leveraging AI for product design, potentially shaping future industry practices.
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Strategic Product Influence: Gain experience influencing product roadmaps and company strategy at a senior level, reporting directly to an SVP.
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Deep Industry Expertise: Develop specialized knowledge in the rapidly evolving fields of automotive fintech and EV marketplaces.
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Building Foundational Systems: Opportunity to design and implement core design systems and operational processes that will scale with Plug Technologies' growth.
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Mentorship and Leadership Development: Hone leadership skills through mentoring junior designers and setting technical standards for the design organization.
π Enhancement Note: The challenges are directly tied to the company's unique approach (AI-native, startup velocity) and the demands of a senior design role. The growth opportunities are substantial, offering significant career development in a high-growth sector.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to balance speed and design quality. How did you make that decision, and what was the outcome?" (Focus on your judgment and process, especially how AI might influence this.)
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"How would you approach designing a complex inventory management or bidding system for used EVs for dealerships? What are the key user needs and potential AI applications?" (Prepare to outline your research and design process for a B2B workflow.)
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"Walk us through a project where you significantly improved a user workflow or process through design. What metrics did you use to measure success?" (Highlight your impact and data-driven approach.)
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"How do you see AI changing the role of a product designer? Provide specific examples of tools or techniques you've used or would use." (Be ready to showcase your "built" AI project and articulate your forward-thinking perspective.) Company & Culture Questions:
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"Why Plug Technologies? What excites you about our mission and the EV/fintech/marketplace space?" (Research the company's mission, leadership, and market position thoroughly.)
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"Describe your ideal collaboration with product managers and engineers. How do you ensure alignment and handle disagreements?" (Emphasize your proactive, integrated approach.)
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"How do you define and maintain design quality and consistency, especially in a fast-paced environment with rapidly evolving tools like AI?" (Discuss your approach to design systems, governance, and mentorship.) Portfolio Presentation Strategy:
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Structure Your Narrative: For each case study, clearly define the problem, your role, the context, your process (research, ideation, design, testing), the solution, and the impact.
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Emphasize AI Contributions: Dedicate specific slides or sections to showcasing your AI tool usage. Be explicit about the tools, your methodology, and the results.
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Highlight B2B Complexity: Choose projects that demonstrate your ability to handle intricate workflows and professional user needs.
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Showcase Your "Builder" Mentality: Discuss how you took initiative, drove projects forward, and made decisions with high autonomy.
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Be Prepared for Deep Dives: Expect questions on your design decisions, trade-offs, and the rationale behind your approach. Practice explaining technical aspects and user needs clearly.
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Engage Your Audience: Make it a conversation, not a lecture. Be ready to answer questions throughout the presentation.
π Enhancement Note: Interview preparation should strongly focus on demonstrating senior-level strategic thinking, practical AI application, and a deep understanding of B2B SaaS design within the context of Plug's specific industry. The portfolio presentation is a key opportunity to showcase these capabilities.
π Application Steps
To apply for this Staff Product Designer position:
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Submit your application through the provided Ashby link, ensuring your resume and portfolio are uploaded.
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Curate Your Portfolio for Impact: Select 2-3 of your strongest B2B SaaS projects that best demonstrate your end-to-end design process, complex workflow design skills, customer research capabilities, and crucially, your hands-on experience with AI tools. Tailor the presentation to highlight how you've leveraged AI to drive efficiency and innovation.
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Optimize Your Resume for Operations Keywords: Ensure your resume clearly highlights experience in product design, B2B SaaS, customer research, design systems, AI tools, and cross-functional collaboration. Use keywords found in the job description naturally.
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Prepare Your AI Project Showcase: Have a specific project ready to present that exemplifies your practical application of AI in design. Be prepared to articulate the tools used, the process followed, and the tangible outcomes achieved.
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Research Plug Technologies Deeply: Understand their mission, product, target audience (dealers, consumers, OEMs), and their unique "AI-native" approach. Prepare thoughtful questions about their design challenges and product roadmap.
β οΈ 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.
Application Requirements
The role requires 6+ years of product design experience with a strong background in B2B SaaS and complex workflow design. Candidates must demonstrate proficiency in customer research, AI-forward design workflows, and the ability to translate complex business needs into simple, trustworthy interfaces.