Product Designer

GovPilot
Full-time

πŸ“ Job Overview

Job Title: Product Designer

Company: GovPilot

Location: Remote (United States)

Job Type: Full-Time, Salaried

Category: Product Design & Management

Date Posted: May 18, 2026

Experience Level: Mid-Level (2-5 years with meaningful PM experience)

Remote Status: Fully Remote

πŸš€ Role Summary

  • End-to-End Product Ownership: Design and manage products from initial wireframes through high-fidelity mockups, taking full ownership of the product lifecycle within an AI-native development framework.

  • Customer-Centric Design: Regularly engage with customers to identify pain points, understand needs, and drive product improvements based on user feedback and outcomes.

  • Agile Development Integration: Actively participate in and lead agile ceremonies, including sprints, planning, grooming, and retrospectives, while writing and prioritizing product intents and acceptance criteria.

  • AI Tooling Proficiency: Leverage and iterate within advanced AI design and development tools, such as Claude Design, Make, or Lovable, to accelerate the design and development process.

  • Cross-Functional Collaboration: Partner closely with a dedicated team of engineers and a hybrid designer/Product Manager, fostering a no-handoff culture and contributing product judgment to the development process.

πŸ“ Enhancement Note: This role is positioned as a Product Designer with significant Product Management responsibilities, indicated by the "meaningful PM experience" requirement and the description of running sprints, writing product intents, and owning the full product loop. The emphasis on AI-native development and specific AI tools suggests a forward-thinking approach to product creation, requiring candidates to be adaptable and proficient in modern design and development methodologies.

πŸ“ˆ Primary Responsibilities

  • Customer Engagement & Research: Conduct regular customer interviews and research to deeply understand user needs, identify usability issues, and gather insights that inform product strategy and design decisions.

  • Full-Cycle Design Execution: Own and execute the entire design process, from conceptualization and wireframing to user flow mapping, prototyping, and the creation of detailed final specifications for development.

  • Agile Workflow Leadership: Lead and manage agile sprint cycles, including planning, backlog grooming, and retrospectives, ensuring clear product intents and acceptance criteria are defined and understood by the engineering team.

  • AI-Assisted Design & Prototyping: Utilize and experiment with advanced AI design and development tools (e.g., Claude Design, Make) to rapidly prototype concepts, iterate on designs, and streamline the creation of high-fidelity outputs.

  • Product Strategy & Prioritization: Contribute to product strategy by identifying opportunities, prioritizing features based on user outcomes and business impact, and aligning design efforts with overarching company goals.

  • Cross-Functional Team Collaboration: Work seamlessly within small, agile pods of engineers and product managers, fostering a collaborative environment where design input is integrated throughout the development lifecycle.

  • Stakeholder Communication & Reporting: Clearly articulate design decisions, product changes, and their impact on users to both technical and non-technical stakeholders through written and verbal communication.

  • Continuous Improvement: Participate in and lead team retrospectives to identify areas for process improvement within the design and development workflow.

πŸ“ Enhancement Note: The responsibilities highlight a blend of traditional product design, product management, and agile leadership, emphasizing a hands-on, ownership-driven approach. The expectation to "own the work" and operate within an "AI-native development model" suggests a need for proactive individuals who can drive initiatives and adapt to evolving tools and processes.

πŸŽ“ Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and skills in product design and management is essential.

Experience:

  • Minimum of 3 years in product design.

Required Skills:

  • Product Design Proficiency: Expertise in wireframing, user flow mapping, prototyping, and creating detailed design specifications.

  • Customer Research & Analysis: Demonstrated ability to conduct effective customer interviews, synthesize research findings, and translate insights into actionable product requirements and design solutions.

  • Agile Methodologies: Proven experience in running sprints, participating in planning, grooming, and retrospectives, and defining product intents and acceptance criteria.

  • AI Design & Development Tools: Fluency in using AI-powered design and development tools such as Claude Design, Make, or Lovable.

  • Product Strategy & Vision: Ability to think strategically about user outcomes and business impact, moving beyond feature-centric development.

  • Communication & Collaboration: Excellent written and verbal communication skills, with the ability to effectively communicate complex ideas to diverse stakeholders, including non-technical audiences.

  • Adaptability & Pace: Comfort working in a fast-paced environment with a high degree of ambiguity.

Preferred Skills:

  • Experience within the GovTech sector.

  • Background in B2B SaaS product development.

  • Familiarity with enterprise software designed for non-technical users.

πŸ“ Enhancement Note: The "3+ years in product design with meaningful PM experience on top" requirement indicates a need for candidates who have not only mastered design craft but also possess a strategic understanding of product lifecycle management and market needs. The emphasis on AI tools suggests that candidates with early adoption or demonstrated experience in these emerging technologies will have a distinct advantage.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • End-to-End Case Studies: Showcase 2-3 comprehensive case studies detailing the complete product design and development cycle, from initial problem identification and customer research to final design implementation and outcomes.

  • Process Documentation: Clearly illustrate your design process, including wireframing, user flow mapping, prototyping methodologies, and how you incorporate customer feedback.

  • Agile Workflow Integration: Demonstrate how you've integrated design within agile sprints, including examples of defining product intents, acceptance criteria, and participating in ceremonies.

  • AI Tooling Examples: Highlight any projects where you've utilized AI design or development tools, showcasing your proficiency and the impact on your workflow or outcomes.

  • User-Centric Impact: Clearly articulate the user outcomes and business impact achieved through your design work, supported by quantifiable metrics where possible.

Process Documentation:

  • Customer Research Synthesis: Provide examples of how you gather, analyze, and present customer research findings to inform design and product decisions.

  • Agile Ceremonies Contribution: Detail your role and contributions in sprint planning, grooming, and retrospectives, emphasizing how you drive clarity and efficiency.

  • Design Iteration & Feedback Loops: Showcase your approach to iterating on designs based on internal reviews, stakeholder feedback, and user testing.

  • Tooling & Workflow Optimization: Explain how you leverage design tools (especially AI-powered ones) to optimize your workflow and deliver results efficiently.

πŸ“ Enhancement Note: Given the emphasis on "owning the work" and operating within an AI-native model, the portfolio should strongly emphasize a candidate's ability to manage projects independently and demonstrate a proactive approach to problem-solving using modern tools. Case studies that clearly showcase the transition from problem to solution, with a focus on user outcomes and the application of AI, will be highly valued.

πŸ’΅ Compensation & Benefits

Salary Range: Based on GovPilot's remote (United States) location, mid-level experience with product management overlap, and the specialized nature of AI tool proficiency, a competitive salary range for a Product Designer with these qualifications would typically fall between $100,000 - $140,000 annually. This estimate considers regional cost of living variations across the US and benchmarks for similar roles in the B2B SaaS and GovTech sectors.

Benefits:

  • Comprehensive Health Insurance: Medical, dental, and vision coverage.

  • Retirement Savings Plan: 401(k) with potential company match.

  • Paid Time Off: Generous vacation, sick leave, and paid holidays.

  • Professional Development: Budget for conferences, training, and certifications to support continuous learning.

  • Remote Work Stipend: Allowance for home office setup and ongoing expenses.

  • Equity/Stock Options: Potential for company stock options, aligning employee success with company growth.

  • Parental Leave: Supportive policies for new parents.

Working Hours: The standard working hours are expected to be around 40 hours per week, with flexibility to accommodate different time zones across the United States. The company emphasizes efficient work and outcome-driven performance rather than strict adherence to clock-in/clock-out times.

πŸ“ Enhancement Note: The salary estimate is based on publicly available data for Product Designers and Product Managers in the US, adjusted for the specific requirements of AI tool fluency and an AI-native development environment. Benefits are inferred based on standard offerings for full-time remote roles in the tech industry, particularly for companies seeking experienced professionals.

🎯 Team & Company Context

🏒 Company Culture

Industry: GovPilot operates within the GovTech sector, focusing on providing cloud-based software solutions for local governments. This industry is characterized by a mission-driven approach, aiming to improve public services through technology.

Company Size: GovPilot is likely a growing mid-sized company, indicated by its focus on building out product teams and its AI-native development model. This size often offers a balance between the agility of a startup and the stability of an established organization.

Founded: GovPilot was founded in 2015. This relatively recent founding suggests a dynamic and evolving company culture, with a focus on innovation and adapting to market needs.

Team Structure:

  • Pod-Based Development: The product team is structured into small, cross-functional "pods" consisting of strong engineers paired with designers who possess product judgment.

  • Reporting Lines: The Product Designer will report directly to the Director of Product and Design, working alongside one other hybrid Designer/PM.

  • Collaborative Environment: The "no handoff culture" and emphasis on shared ownership foster a highly collaborative and integrated working relationship between design, product, and engineering.

Methodology:

  • AI-Native Development: The core methodology revolves around leveraging AI tooling to enhance efficiency, speed, and intelligence in the design and development process.

  • Outcome-Oriented Design: Focus is placed on achieving tangible user outcomes rather than simply delivering features.

  • Agile & Iterative: Sprints, planning, grooming, and retrospectives are integral to the development cycle, promoting continuous improvement and adaptation.

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

πŸ“ Enhancement Note: The company's focus on GovTech and its AI-native approach are key differentiators. This suggests a culture that values innovation, efficiency, and making a tangible impact on public services. The pod structure indicates a flat, collaborative hierarchy where individual contributions are highly visible.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Level Product Designer with significant Product Management responsibilities. It requires a seasoned professional with 3+ years of design experience and demonstrable product management acumen. The scope includes end-to-end ownership of product areas, customer interaction, and active participation in strategic planning and agile execution.

Reporting Structure: The Product Designer reports to the Director of Product and Design. This provides a clear line of mentorship and strategic guidance. The role also involves close collaboration with engineers and a peer hybrid Designer/PM, indicating a team dynamic focused on shared goals.

Operations Impact: The Product Designer's impact is direct and significant, influencing product strategy, user experience, and the efficiency of the development process. By owning the full product loop and leveraging AI tools, this role is critical in accelerating delivery, improving user outcomes, and driving customer satisfaction for GovPilot's government clients.

Growth Opportunities:

  • Specialization in AI Product Development: Deepen expertise in leveraging AI tools and methodologies for product design and management, becoming a go-to resource for AI-driven innovation.

  • Product Management Track: Transition into a dedicated Product Manager role, taking on broader strategic responsibilities, roadmap ownership, and P&L impact.

  • Leadership within Pods: Evolve into a lead designer or product lead within a pod, mentoring junior team members and influencing pod-level strategy.

  • Cross-Functional Skill Expansion: Gain deeper experience in engineering workflows, customer success, and market analysis through close collaboration and the company's outcome-focused approach.

  • Impact on Public Sector Technology: Contribute to shaping the future of technology used by local governments, leading to significant societal impact.

πŸ“ Enhancement Note: The role offers a unique opportunity for designers to expand their product management skills and gain expertise in cutting-edge AI development methodologies within a mission-driven industry. The close reporting structure and collaborative pod model suggest a supportive environment for career advancement and skill development.

🌐 Work Environment

Office Type: This is a fully remote position, eliminating the need for a physical office presence. The company operates within a distributed work model.

Office Location(s): While the role is remote, the company is based in the United States. This allows for flexibility in employee location across the country, potentially with timezone considerations for collaboration.

Workspace Context:

  • Remote Autonomy: Employees have the autonomy to set up their workspace according to their preferences, promoting comfort and productivity.

  • Digital Collaboration Tools: The work environment relies heavily on digital collaboration tools (e.g., Slack, video conferencing, project management software, design collaboration platforms) to maintain seamless communication and teamwork.

  • AI Tool Integration: Access to and utilization of advanced AI design and development tools are central to the daily workflow, providing powerful assistance and automation.

  • Cross-Functional Interaction: Despite the remote nature, the pod structure encourages frequent interaction and collaboration with engineers and product managers.

Work Schedule: The role is full-time, approximately 40 hours per week. While core working hours may exist for team synchronization, there is an emphasis on flexibility and outcome delivery, allowing for some adaptation to personal schedules as long as collaboration and project deadlines are met.

πŸ“ Enhancement Note: The fully remote nature of this role requires strong self-discipline, excellent asynchronous communication skills, and comfort with digital collaboration tools. The success of the AI-native model depends on effective virtual teamwork and clear communication channels.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Screening Call: An initial conversation with a recruiter to assess basic qualifications, cultural fit, and understanding of the role's unique aspects (AI-native, Product Management blend).

  • Hiring Manager Interview: In-depth discussion with the Director of Product and Design, focusing on design philosophy, product judgment, customer research experience, and strategic thinking.

  • Team Interview: An interview with engineers and potentially the peer hybrid Designer/PM to evaluate collaboration style, technical understanding, and ability to integrate into the pod structure.

  • Final Interview with CEO: A high-level discussion with the CEO, likely focusing on vision, impact, and long-term alignment with GovPilot's mission and growth trajectory.

Portfolio Review Tips:

  • Highlight AI Tool Usage: Clearly demonstrate how you've used AI tools (Claude Design, Make, Lovable) in your design process. Showcase the impact on efficiency, iteration speed, or output quality.

  • Showcase PM Skills: Include case studies that emphasize problem-solving, prioritization, and driving user outcomes, not just aesthetic design. Quantify impact where possible.

  • Customer Research Integration: Detail your approach to customer research and how it directly influenced your design decisions and the final product.

  • Agile Process Examples: Present examples of your involvement in agile ceremonies and how you contributed to defining product intents and acceptance criteria.

  • Clear Communication: Be prepared to articulate your design decisions and the reasoning behind them concisely and effectively to both technical and non-technical interviewers.

Challenge Preparation:

  • AI Tool Exploration: Familiarize yourself with the mentioned AI design tools (Claude Design, Make, Lovable) or comparable AI-assisted design platforms.

  • Product Sense Scenarios: Prepare to discuss how you would approach designing for specific user problems or government needs, focusing on user outcomes.

  • Agile Simulation: Be ready to discuss hypothetical sprint scenarios, how you would prioritize tasks, and manage dependencies within a pod.

  • Communication Practice: Practice explaining complex design concepts and product strategies clearly and concisely, as if presenting to the CEO or a non-technical stakeholder.

πŸ“ Enhancement Note: The interview process is designed to assess a candidate's holistic capabilities, from design craft and product strategy to collaboration and adaptability within an innovative environment. A strong portfolio that specifically addresses the AI-native aspect and the PM responsibilities will be crucial for success.

πŸ›  Tools & Technology Stack

Primary Tools:

  • AI Design & Development Tools: Crucial fluency in tools like Claude Design, Make, and Lovable. Candidates are expected to leverage these for rapid prototyping, design iteration, and potentially code generation or workflow automation.

  • Design & Prototyping Software: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite, or similar for wireframing, flow mapping, and high-fidelity design.

  • Project Management & Collaboration: Experience with agile project management tools like Jira, Asana, Trello, or similar for sprint management, backlog grooming, and task tracking.

  • Communication Platforms: Proficiency in tools like Slack, Microsoft Teams, or similar for real-time team communication and collaboration.

Analytics & Reporting:

  • User Analytics Tools: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or Hotjar to understand user behavior, track feature adoption, and measure product performance.

  • Data Visualization Tools: Experience with tools like Tableau, Power BI, or Looker for creating dashboards and reports to communicate insights to stakeholders.

CRM & Automation:

  • CRM Systems: While not explicitly mentioned for the designer role, understanding how design impacts CRM data and user journeys within systems like Salesforce or HubSpot can be beneficial.

  • Workflow Automation: Familiarity with general automation principles and tools that might integrate with the AI development stack.

πŸ“ Enhancement Note: The explicit mention of "Claude Design or Make" and the general "AI design and dev tools" indicates a strong preference for candidates who are either already proficient in these emerging technologies or can quickly adapt and become experts. This is a key differentiator for this role.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Ownership & Accountability: Individuals are expected to take full ownership of their work, from conception to execution, and be accountable for the outcomes.

  • Customer Focus: A deep commitment to understanding and serving customer needs, driving product decisions based on user feedback and impact.

  • Innovation & Experimentation: Embracing new technologies, particularly AI, and fostering a culture of experimentation to find more efficient and effective ways of working.

  • Collaboration & Transparency: Working closely with team members, sharing knowledge, and maintaining open communication within the pod and with stakeholders.

  • Efficiency & Speed: A drive to deliver value quickly and intelligently, leveraging AI tools and agile methodologies to accelerate development cycles.

Collaboration Style:

  • Integrated Pod Teams: Collaboration is tight-knit within small, cross-functional pods, emphasizing shared responsibility and a "no handoff" approach.

  • Direct Communication: Encourages direct communication and feedback between designers, engineers, and product managers to ensure alignment and rapid iteration.

  • Data-Informed Decisions: While design intuition is valued, decisions are ideally informed by customer research, user data, and performance metrics.

  • Continuous Learning: A culture that supports and encourages ongoing learning, especially concerning new technologies like AI and evolving design practices.

πŸ“ Enhancement Note: The emphasis on "owning the work" and operating within an "AI-native development model" suggests a culture that highly values proactivity, self-sufficiency, and a willingness to embrace cutting-edge technology. The "no handoff" culture implies a flat, highly collaborative environment where all team members are invested in the success of the product.

⚑ Challenges & Growth Opportunities

Challenges:

  • Navigating AI Tool Evolution: Keeping pace with the rapid advancements and best practices in AI design and development tools, which are constantly evolving.

  • Balancing Design Craft with PM Responsibilities: Effectively managing both detailed design execution and broader product management tasks, such as prioritization and sprint leadership.

  • Working with Ambiguity in a Fast-Paced Environment: Thriving in a dynamic setting where priorities may shift and new challenges emerge quickly, requiring adaptability and resilience.

  • Cross-Functional Alignment: Ensuring seamless integration and communication between design, engineering, and product management within the pod structure, especially in a remote setting.

  • Defining and Measuring User Outcomes: Translating abstract user needs into measurable outcomes and demonstrating the impact of design decisions with data.

Learning & Development Opportunities:

  • AI Tool Mastery: Becoming an expert in AI-assisted design and development tools, potentially leading to specialized roles or internal training initiatives.

  • Product Management Acumen: Developing comprehensive product management skills, including roadmap planning, market analysis, and strategic decision-making.

  • GovTech Industry Expertise: Gaining deep knowledge of the specific challenges and opportunities within the government technology sector.

  • Leadership Development: Opportunities to lead design initiatives, mentor junior colleagues, and influence product direction within the pod and the broader team.

  • Remote Work Best Practices: Honing skills in asynchronous communication, virtual collaboration, and effective remote work strategies.

πŸ“ Enhancement Note: The role presents significant opportunities for professional growth by pushing the boundaries of design and product management through AI integration. Candidates who are eager to learn and adapt to new technologies will find this environment particularly rewarding.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you had to define product intents and acceptance criteria for a new feature. How did you ensure alignment with engineering?" (Assesses agile process and communication skills)

  • "Walk me through a complex product design challenge you faced, detailing your customer research, design process, and how you leveraged AI tools to reach a solution. What was the ultimate user outcome?" (Assesses end-to-end ownership, research, AI proficiency, and outcome focus)

Company & Culture Questions:

  • "What interests you about GovPilot's mission and the GovTech industry?" (Assesses understanding of company mission and industry alignment)

  • "How do you see AI tools changing the future of product design and development?" (Assesses forward-thinking perspective and alignment with AI-native approach)

Portfolio Presentation Strategy:

  • Structure: Organize your portfolio around 2-3 strong case studies that clearly illustrate the full product lifecycle. For each case study, dedicate sections to: Problem, Research, Solution (Wireframes, Flows, Prototypes, Final Design), AI Tool Usage, Impact (Metrics/Outcomes), and Learnings.

  • Highlight AI: Explicitly call out where and how you used AI tools. Be ready to demonstrate specific features or workflows if possible.

  • Quantify Impact: Wherever possible, present quantifiable results – e.g., "Increased user engagement by X%," "Reduced task completion time by Y minutes," "Improved customer satisfaction scores by Z points."

  • Storytelling: Craft a narrative for each case study that highlights your problem-solving skills, strategic thinking, and the tangible value you delivered.

  • Conciseness: Be prepared to present your portfolio within a limited timeframe, focusing on the most impactful aspects and key learnings.

πŸ“ Enhancement Note: Candidates should be prepared to speak extensively about their experience with AI design tools and their ability to blend product design with product management responsibilities. Demonstrating a user-centric approach and a clear understanding of business outcomes will be critical.

πŸ“Œ Application Steps

To apply for this Product Designer position:

  • Submit your resume and cover letter through the provided application link.

  • Portfolio Customization: Tailor your portfolio to highlight specific case studies that demonstrate your experience with AI design tools (Claude Design, Make, Lovable) and your ability to own the product lifecycle from wireframe to high-fidelity with a focus on user outcomes.

  • Resume Optimization: Ensure your resume clearly articulates your 3+ years of product design experience alongside your "meaningful PM experience." Use keywords such as "Product Management," "Customer Research," "Sprint Management," "AI Design Tools," and "User Outcomes."

  • Interview Preparation: Practice articulating your design process, product strategy, and customer research methodologies, with a particular emphasis on how you've utilized AI tools and contributed to agile workflows. Prepare to discuss your portfolio in detail.

  • Company Research: Understand GovPilot's mission in the GovTech space, its AI-native development model, and its commitment to improving public services. Be ready to discuss why you are a good cultural fit for a fast-paced, collaborative, and innovative environment.

⚠️ 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

Requires 3+ years of product design experience combined with meaningful product management experience. Candidates must be fluent in AI design and development tools and possess strong customer research instincts.