Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Neural Earth

Location: United States

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-05-26T00:00:00

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead the end-to-end design of a sophisticated geospatial intelligence platform, focusing on map-based risk dashboards and AI-assisted decision workflows to drive critical business decisions.

• Translate complex geospatial data and AI model outputs into intuitive, user-friendly interfaces for analysts, underwriters, and operators, ensuring clarity and accessibility without sacrificing depth.

• Drive user research and usability testing to ground design decisions in real-world use cases and synthesize actionable insights for product development.

• Foster close collaboration with engineering and data science teams, leveraging front-end literacy to ensure high-quality implementation of design intent.

• Advance the company's design system with scalable patterns for geospatial UI, AI explainability, and data visualization, elevating the overall product experience.

📝 Enhancement Note: While the provided description focuses on Product Design, the nature of the role—designing for AI-driven geospatial intelligence and B2B SaaS products—necessitates a strong understanding of data visualization, complex data handling, and user experience for technical and analytical users. This positions the role as a hybrid between pure UX/UI and a specialized Data Visualization Designer or Geospatial UX Specialist within a Revenue Operations or Sales Operations enablement context, as the platform directly supports high-stakes business decisions.

📈 Primary Responsibilities

• Craft end-to-end user experiences for map-based and AI-assisted features, from conceptualization to production-ready specifications, ensuring engineers can implement with confidence.

• Communicate complex geospatial concepts and AI-driven workflows through intuitive interfaces, making model outputs, confidence levels, and spatial data easily understandable for non-technical users.

• Lead user research initiatives, including interviews and usability testing with core user personas (analysts, underwriters, operators), to inform and validate design decisions.

• Partner closely with engineering and data science teams throughout the development lifecycle, utilizing front-end literacy to bridge the gap between design and code.

• Develop and evolve Neural Earth's design system, establishing scalable UI patterns for geospatial data, AI explainability, and effective data visualization.

• Contribute to the product strategy by identifying user needs and opportunities for innovation within the geospatial intelligence and AI product space.

• Prototype user interfaces and workflows to effectively communicate design concepts and gather early feedback.

📝 Enhancement Note: The primary responsibilities highlight a deep involvement in product strategy and user research, suggesting the Senior Product Designer will not just execute designs but also influence the product roadmap. The emphasis on translating complex data and AI outputs into intuitive interfaces points to a critical role in making sophisticated technology accessible and actionable for business users, directly impacting sales and operational effectiveness.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is often preferred for senior roles in complex technical domains. Equivalent practical experience will also be considered.

Experience: 5+ years of professional product design experience, with a strong emphasis on complex data-rich or geospatial products. Prior experience in B2B SaaS, climate tech, insurance, infrastructure, or defense sectors is highly valued.

Required Skills:

• Product Design: Proven ability to design end-to-end user experiences for complex, data-rich applications.

• Geospatial Design: Experience designing interfaces for map-based products, spatial dashboards, GIS workflows, or location-based tools.

• AI Interface Design: Experience designing interfaces for AI-assisted or model-driven products, focusing on communicating uncertainty, confidence, and model outputs effectively.

• Figma Proficiency: Advanced skills in Figma, including creating and managing components, variants, and design systems.

• User Research & Usability Testing: Demonstrated ability to conduct user interviews and usability tests, translating qualitative data into actionable design direction.

• Front-end Literacy: Familiarity with HTML, CSS, and JavaScript frameworks (e.g., React) to enable effective collaboration with engineers and basic prototyping.

• Data Visualization: Ability to design clear and effective data visualizations, particularly for spatial and AI-derived insights.

• Design Systems: Experience in developing, maintaining, and scaling design systems.

• Communication: Strong verbal and written communication skills for articulating design rationale to diverse stakeholders.

• Problem-Solving: Ability to thrive in ambiguous, fast-moving startup environments and take ownership of complex challenges.

Preferred Skills:

• Geospatial Tools & Libraries: Familiarity with common mapping libraries (e.g., Mapbox, Leaflet) and geospatial concepts.

• Prototyping: Experience with advanced prototyping tools or in-browser prototyping (e.g., using React).

• AI Explainability: Understanding of UX principles for explaining AI model behavior and outputs.

• B2B SaaS Experience: Deep understanding of user needs and workflows in a B2B software context.

• Specific Industry Knowledge: Prior experience in climate tech, insurance, infrastructure, or defense sectors.

📝 Enhancement Note: The requirement for "front-end literacy (HTML/CSS/React)" and the mention of "mapping libraries and geospatial tools" are critical for this role. Candidates should prepare to discuss their experience with these technologies and how they've used them to inform design decisions or collaborate with engineering. The emphasis on AI explainability and communicating uncertainty is a key differentiator for this role in the AI-native product space.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Ownership: A portfolio showcasing clear ownership of complex, data-rich features from problem framing to shipped product.

• Shipped Products: Evidence of successfully launched map-based or spatial data interfaces.

• AI/Model-Driven Design: Case studies illustrating experience designing for AI-assisted products, specifically addressing the communication of uncertainty and confidence.

• Design System Contribution: Examples of contributions to design systems, component libraries, or scalable UI patterns.

• User Research Integration: Showcase how user research and usability testing directly influenced design outcomes.

• Technical Collaboration: Examples of how you've worked closely with engineers and data scientists to implement designs.

Process Documentation:

• Workflow Design: Ability to map out and design complex geospatial and AI-driven workflows, breaking them down into intuitive user steps.

• Design Specification: Provision of clear, detailed design specifications, wireframes, and prototypes that enable engineers to build with confidence.

• Iterative Design: Demonstration of an iterative design process, incorporating feedback from research, engineering, and stakeholders.

• Cross-functional Process: Understanding of how design processes integrate with engineering sprints, product management roadmaps, and data science pipelines.

📝 Enhancement Note: For this role, the portfolio is paramount. Candidates must be prepared to walk through their process for at least one complex, data-intensive project, ideally involving geospatial data or AI. The emphasis should be on how they translated complex requirements into user-friendly solutions and collaborated with technical teams. Demonstrating an understanding of how their designs impact operational decision-making will be a significant advantage.

💵 Compensation & Benefits

Salary Range: $150,000 - $180,000 annually. This range reflects progression based on demonstrated growth and impact, indicating potential for salary increases with performance and tenure.

Benefits:

• Competitive base compensation, equitable across all work locations.

• Company performance-based cash bonuses.

• Majority employer-paid health, dental, and vision insurance for employees and dependents.

• Flexible Paid Time Off (PTO) to support work-life balance.

• Group Life Insurance coverage at 2x base salary, fully paid by the company.

• Flexible Spending Account (FSA) and Health Savings Account (HSA) options for healthcare expense management.

Working Hours: While not explicitly stated, a full-time role typically implies a standard 40-hour work week. Given the remote nature and startup environment, flexibility is likely expected, with an emphasis on output and impact rather than strict adherence to hours.

📝 Enhancement Note: The salary range is competitive for a Senior Product Designer role in the US, especially for a fully remote position in a specialized tech field like geospatial intelligence and AI. The company's commitment to pay equity and transparency is a significant benefit. The inclusion of performance-based bonuses and comprehensive health coverage for dependents further enhances the compensation package. For salary negotiation, candidates should consider their experience level, the specific impact they can bring to Neural Earth's platform, and the specialized skills in geospatial and AI design.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focusing on AI, Geospatial Science, and Decision Intelligence for risk management and operational resilience. Neural Earth operates at the intersection of data analytics, AI research, and enterprise deployment.

Company Size: As a startup, Neural Earth is likely small to medium-sized, characterized by agility, rapid iteration, and a close-knit team environment. This implies direct impact and significant influence for each team member.

Founded: The founding date is not specified, but the company's focus on cutting-edge AI and geospatial technology suggests it is a relatively modern startup aiming to disrupt traditional risk assessment and decision-making processes.

Team Structure:

• The Product Design team is small and agile, working directly with the Chief Product Officer (CPO).

• The designer will be part of a tight-knit quartet including a UX Engineer and Customer Success Manager, forming the core of the product output.

• This group collaborates closely with a cross-functional engineering team of approximately 10 individuals.

• Decisions made by the design team have immediate and visible impact on the engineering roadmap. Methodology:

• Data-Driven Decisions: Emphasis on using data, including user research and analytics, to inform product and design choices.

• Agile Development: Operating in a startup environment likely means adopting agile methodologies for rapid development and iteration.

• AI & Geospatial Focus: Core to the company's methodology is the integration of advanced AI and geospatial science to deliver decision intelligence.

• User-Centric Design: A commitment to understanding and addressing the needs of analysts, underwriters, and operators through user research and intuitive interface design.

Company Website: https://www.neural-earth.io/

📝 Enhancement Note: The description of the team structure highlights a highly collaborative and impactful environment. The Senior Product Designer will have direct access to leadership (CPO) and a significant influence on product direction. This structure is typical of growth-stage startups where individuals are expected to wear multiple hats and contribute across various aspects of product development.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as Senior, indicating a need for substantial experience (5+ years) and the ability to lead design initiatives independently. It suggests a trajectory towards principal designer, design lead, or management roles within a growing organization. The emphasis on owning end-to-end experiences and advancing the design system points to a high level of autonomy and responsibility.

Reporting Structure: The Senior Product Designer will report directly to the Chief Product Officer (CPO). This close reporting line to a key executive offers significant visibility and direct mentorship opportunities.

Operations Impact: The platform's purpose is to enable leaders to make "resilient, business-critical decisions" by providing clarity on physical risk through unified data and AI insights. The Senior Product Designer's work directly influences the usability and effectiveness of this platform, thereby impacting the quality of decisions made by users in high-stakes industries like insurance, climate tech, and infrastructure. This means the designer's work has a direct connection to revenue generation, risk mitigation, and operational efficiency for Neural Earth's clients.

Growth Opportunities:

• Deep Specialization: Opportunity to become a leading expert in designing for AI-native geospatial intelligence platforms, a rapidly growing and high-demand field.

• Design System Leadership: Possibility to drive the evolution and adoption of a critical design system, impacting product consistency and development velocity.

• Product Strategy Influence: Direct contribution to product strategy and roadmap through user research and design leadership, potentially leading to product management overlaps or opportunities.

• Mentorship: Potential to mentor junior designers as the team grows, developing leadership and management skills.

• Cross-Functional Expertise: Gaining deep insights into AI, data science, and engineering challenges, broadening technical understanding and collaborative capabilities.

📝 Enhancement Note: The growth opportunities are framed around specialization in a niche but critical area of technology (AI + Geospatial), which can lead to significant career advancement. The direct reporting to the CPO is a strong indicator of potential for rapid growth and influence within the company. Candidates should prepare to articulate how their experience aligns with driving product strategy and contributing to a growing design function.

🌐 Work Environment

Office Type: The role is designated as "TELECOMMUTE," indicating a fully remote work arrangement. This offers flexibility and the ability to work from anywhere within the United States.

Office Location(s): While the role is remote, the company headquarters are likely in a specific location, and the derived timezones suggest a potential presence or focus on Central US time. The company has a stated presence in the United States, with remote employees potentially located across various states.

Workspace Context:

• Remote Collaboration: Expect to utilize a suite of digital collaboration tools (e.g., Slack, Zoom, Figma, project management software) for communication and teamwork.

• Autonomy & Self-Management: A remote, startup environment requires a high degree of self-discipline, time management, and proactive communication.

• Cross-functional Interaction: Regular interaction with engineers, data scientists, product managers, and customer success, all likely in a remote setting.

• Technology & Tools: Access to modern design software (Figma) and likely a robust cloud-based infrastructure for development and collaboration.

Work Schedule: As a full-time, remote position, the work schedule is likely flexible, with core hours expected for team collaboration and meetings. The emphasis will be on achieving objectives and delivering high-quality work, rather than strict adherence to a 9-to-5 schedule. Occasional travel (~10%) may be required for team offsites or critical meetings.

📝 Enhancement Note: The fully remote nature of the role is a significant draw for many candidates. However, it requires a proactive approach to communication and team engagement. Candidates should be prepared to discuss their strategies for effective remote collaboration and how they maintain productivity and connection within a distributed team. The ~10% travel requirement should be noted as a factor in work-life planning.

📄 Application & Portfolio Review Process

Interview Process: The typical interview process for a Senior Product Designer role at a startup like Neural Earth would likely involve several stages:

• Initial Screening: A brief call with a recruiter or hiring manager to assess basic qualifications and cultural fit.

• Portfolio Review & Deep Dive: A dedicated session where the candidate presents their portfolio, discusses their design process, and elaborates on key projects. This is often with the CPO and potentially other design/product team members.

• Technical/Design Challenge: A take-home assignment or live exercise focused on a specific design problem relevant to the company's domain (e.g., designing a component for a map interface, or a workflow for AI output interpretation).

• Cross-functional Interviews: Meetings with engineers, data scientists, and product managers to evaluate collaboration skills and technical understanding.

• Final Round: A discussion with senior leadership, potentially the CEO or CTO, to assess strategic thinking and long-term fit.

Portfolio Review Tips:

• Storytelling: Frame each project as a narrative: the problem, your role, your process, the challenges, the solutions, and the impact (metrics are key!).

• Focus on Impact: Quantify the success of your designs whenever possible (e.g., improved task completion time, increased user engagement, reduction in support tickets).

• Process Transparency: Clearly articulate your design process, highlighting user research, iteration, and collaboration with engineering.

• Geospatial/AI Relevance: Prioritize projects that demonstrate experience with complex data, mapping, or AI interfaces. If direct experience is limited, highlight transferable skills and your approach to learning new domains.

• Figma & Design Systems: Be prepared to discuss your approach to design systems and your proficiency in Figma.

• Conciseness: Be prepared to present your most impactful work efficiently, respecting the interviewers' time.

Challenge Preparation:

• Understand the Domain: Research Neural Earth's industry, competitors, and the challenges of geospatial intelligence and AI in decision-making.

• Deconstruct the Prompt: For take-home challenges, thoroughly understand the requirements, constraints, and desired outcomes.

• Focus on Process: Even if you can't deliver a fully polished UI, clearly demonstrate your thought process, problem-solving approach, and how you would arrive at a solution.

• User-Centricity: Show how you would involve users and gather feedback in the design process.

• Technical Feasibility: Consider the technical constraints and how your design can be implemented, especially in collaboration with engineers.

📝 Enhancement Note: The interview process will heavily rely on the candidate's portfolio and their ability to articulate their design process and impact. Candidates should prepare to discuss specific examples of how they've translated complex technical concepts into user-friendly designs and how they've collaborated with engineering and data science teams. The portfolio review is likely the most critical stage.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design and prototyping tool, used for UI design, component creation, and design system management.

• User Research Tools: Potentially tools like UserTesting.com, Lookback, or in-house methods for conducting interviews and usability tests.

• Collaboration Tools: Slack for real-time communication, Zoom for virtual meetings, and likely a project management tool such as Jira, Asana, or Trello.

Analytics & Reporting:

• Product Analytics: While not explicitly mentioned, tools like Amplitude, Mixpanel, or Google Analytics are common for understanding user behavior.

• Data Visualization Libraries: Familiarity with front-end libraries used for data visualization (e.g., D3.js, Chart.js) might be beneficial for understanding implementation possibilities.

CRM & Automation:

• Design System Management: Figma's features for components, styles, and libraries.

• Version Control: While not directly a design tool, understanding how design assets are managed and versioned for engineering handoff is important.

📝 Enhancement Note: Proficiency in Figma is a hard requirement. Candidates should also be prepared to discuss their experience with other design and research tools. Familiarity with technologies or libraries used in data visualization and geospatial mapping (even if just conceptual) will be advantageous. The ability to understand and communicate with front-end developers (React) is also a key technical skill.

👥 Team Culture & Values

Operations Values:

• Craftsmanship & Quality: A high bar for design quality, attention to detail, and delivering polished, technically sound user experiences.

• Impact & Ownership: A drive to make a tangible impact on the business and customer success through design, taking full ownership of projects.

• Collaboration & Transparency: Open communication, willingness to share work-in-progress, and collaborative problem-solving within the product and engineering teams.

• User-Centricity: A deep commitment to understanding user needs and translating them into intuitive and effective product solutions.

• Innovation & Adaptability: Embracing new technologies like AI and geospatial science, and adapting quickly to the fast-paced startup environment.

Collaboration Style:

• Cross-functional Integration: Close partnerships with engineering, data science, and product management, with design integrated early and often in the development process.

• Iterative Feedback Loops: A culture of continuous feedback, where designs are shared, reviewed, and refined collaboratively.

• Direct Communication: Open and direct communication channels, especially given the remote nature of the team, to ensure alignment and quick problem resolution.

• Shared Vision: Working towards a common goal of building a leading decision intelligence platform, with all team members contributing to that vision.

📝 Enhancement Note: The culture emphasizes a blend of high-performance startup demands with a supportive, collaborative environment. Candidates should highlight their ability to thrive in such a setting, demonstrating proactivity, strong communication, and a passion for solving complex problems with elegant design solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate geospatial data and AI model outputs into simple, intuitive user experiences for diverse user personas.

• Communicating Uncertainty: Effectively designing interfaces that convey AI model confidence levels and uncertainties without causing user confusion or distrust.

• Rapid Iteration: Adapting to a fast-paced startup environment with evolving requirements and quick turnaround times for design deliverables.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting.

• Balancing Craft and Speed: Upholding high design standards while meeting aggressive development timelines.

Learning & Development Opportunities:

• Deep Domain Expertise: Becoming a specialist in the cutting-edge fields of AI-driven geospatial intelligence and decision intelligence.

• Advanced Design Skills: Honing skills in complex data visualization, AI UX, and design systems for sophisticated B2B SaaS products.

• Product Strategy Involvement: Gaining direct experience in shaping product roadmaps and contributing to business strategy.

• Cross-Functional Learning: Deepening understanding of AI, data science, and software engineering principles through close collaboration.

• Leadership Potential: Opportunities to grow into design leadership roles as the company scales.

📝 Enhancement Note: The challenges presented are significant but also represent opportunities for substantial professional growth. Candidates who are energized by complex problems and enjoy learning new domains will find this role particularly rewarding. The emphasis on AI and geospatial tech positions this role at the forefront of technological innovation.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a dashboard that visualizes real-time risk assessments based on multiple geospatial data inputs?" (Focus on data visualization, user needs for risk assessment, and clarity of information.)

• "Describe your process for designing an interface that helps users understand the confidence levels or uncertainties of an AI model's predictions." (Focus on AI explainability, trust-building, and user comprehension of complex outputs.)

• "Given our focus on B2B SaaS and complex data, how do you ensure your designs are both powerful and intuitive for users who may not be technical experts?" (Focus on user empathy, workflow simplification, and balancing feature depth with ease of use.) Company & Culture Questions:

• "What interests you most about Neural Earth's mission and the intersection of AI, geospatial data, and decision intelligence?" (Research the company's mission, vision, and impact.)

• "How do you approach collaboration with engineering and data science teams, particularly when dealing with complex technical constraints?" (Highlight experience with cross-functional work, communication strategies, and understanding technical limitations.)

• "Describe a time you had to advocate for a design decision that was met with resistance. How did you handle it?" (Focus on communication, data-driven arguments, and stakeholder management.) Portfolio Presentation Strategy:

• Structure: Organize your presentation logically: Problem > Your Role > Process > Solution > Impact.

• Highlight Nuances: For geospatial or AI projects, emphasize how you handled specific challenges like data density, spatial relationships, uncertainty, or model interpretability.

• Show, Don't Just Tell: Use visuals effectively to demonstrate your design solutions and prototypes.

• Quantify Impact: Wherever possible, use metrics to show the value of your work. If direct metrics aren't available, discuss anticipated impact or qualitative user feedback.

• Figma & Design System: Be ready to share your Figma files or explain your design system approach.

• Conciseness: Aim for 3-5 key projects that best showcase your relevant skills and impact.

📝 Enhancement Note: Interviewers will be looking for a candidate who not only has strong design skills but also understands the nuances of designing for complex technical domains like AI and geospatial data. Candidates should be prepared to discuss their strategic thinking, problem-solving approach, and ability to translate abstract concepts into tangible user experiences that drive business value.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application directly through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to highlight projects involving complex data visualization, geospatial interfaces, or AI-driven features. Emphasize your process and the impact of your designs on user decision-making or operational efficiency.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of relevant experience, specifically mentioning your work with B2B SaaS, complex data, geospatial concepts, and AI interfaces. Use keywords from the job description.

• Interview Preparation: Practice presenting your portfolio, focusing on storytelling and quantifying the impact of your work. Prepare to discuss your approach to user research, collaboration with technical teams, and how you handle ambiguity in a startup environment.

• Company Research: Thoroughly research Neural Earth's mission, products, and the challenges in the decision intelligence space. Understand how your design skills can directly contribute to their success in bringing clarity to physical risk.

⚠️ 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.