Senior Product Designer at Rwazi, Inc.

📍 Job Overview

Job Title: Senior Product Designer

Company: Rwazi, Inc.

Location: United States

Job Type: FULL_TIME

Category: Product Design / User Experience (UX)

Date Posted: April 15, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

Lead the end-to-end design experience for Sena, Rwazi's AI-native enterprise platform, focusing on data-rich interfaces and conversational AI.
Drive product strategy and design decisions by deeply understanding user needs and business objectives, particularly concerning adoption, retention, and revenue impact.
Leverage AI-assisted development tooling for rapid prototyping, iteration, and front-end implementation, integrating design directly into the development workflow.
Design sophisticated data visualizations and AI-generated reports that translate complex, multi-dimensional data into clear, actionable insights for enterprise clients.
Collaborate directly with product and engineering leadership in a small, senior team environment to shape the future of a defining product.

📝 Enhancement Note: This role is positioned as a Senior Product Designer with significant product ownership responsibilities, extending beyond traditional UX design into product strategy and front-end implementation, particularly within the context of AI-native enterprise SaaS. The emphasis on AI-assisted coding and business-oriented design thinking suggests a highly integrated role within the product development lifecycle.

📈 Primary Responsibilities

Own the complete product design lifecycle for the Sena platform, from conceptualization and user research to high-fidelity prototyping and front-end implementation.
Develop and maintain a cohesive design system and component library to ensure consistency and scalability across the enterprise platform.
Translate complex datasets, market intelligence, consumer analytics, and AI-generated reports into intuitive and actionable user interfaces, dashboards, and visualizations.
Design and optimize the AI-first, conversational user experience, ensuring seamless interaction with AI-generated insights and strategic guidance.
Conduct user research, including interviews and usability testing, to gather insights and validate design decisions, advocating for user needs with stakeholders.
Collaborate closely with engineering teams, utilizing AI-assisted coding tools (e.g., Claude Code) to prototype, build, and iterate on front-end implementations.
Frame design decisions and present work to stakeholders in terms of business impact, such as user adoption, retention, time-to-value, and revenue generation.
Contribute to product strategy by identifying key opportunities and influencing the product roadmap based on user insights and market trends.
Design for probabilistic outputs and the unique characteristics of LLM-powered features, ensuring a robust and reliable user experience.
Champion best practices in data visualization, information hierarchy, and progressive disclosure to make complex data easily digestible and actionable.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product thinking, hands-on design execution, and technical collaboration. The emphasis on "design-to-code workflow" and "AI-assisted development tooling" indicates a forward-thinking approach where designers are expected to contribute directly to front-end implementation, a key differentiator for this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent knowledge and experience in product design, UX/UI, or a related field is expected.

Experience: 5+ years of progressive product design experience, with a significant focus on B2B SaaS products.

Required Skills:

Proven experience in end-to-end product design for B2B SaaS platforms, ideally enterprise-level dashboards, analytics, or market intelligence tools.
Demonstrated fluency and hands-on experience integrating AI/LLM tooling into design and/or development workflows.
Strong capability in front-end development, including proficiency in writing or editing HTML and CSS, and practical experience with AI-assisted coding tools (e.g., Claude Code, Codex).
Expertise in user research methodologies, including conducting interviews, synthesizing findings, and translating insights into actionable product opportunities.
Advanced skills in data visualization, with a strong understanding of effective chart types, information hierarchy, and progressive disclosure for complex datasets.
Proven ability to design for ambiguity and make confident design decisions with incomplete information, iterating effectively as new data emerges.
Business-literate design thinking, with the ability to articulate design rationale in terms of business metrics like adoption, conversion, retention, and operational efficiency.

Preferred Skills:

Experience with enterprise SaaS platforms specifically in market intelligence, research, or advanced analytics.
Hands-on experience designing and building UIs with AI-assisted development tools like Claude Code.
Expertise in developing and managing design systems or component libraries.
Experience working with global markets and distributed, remote teams.
Familiarity with data analysis and reporting tools, and the ability to translate data findings into user-centric design solutions.

📝 Enhancement Note: The requirements emphasize a unique combination of traditional product design expertise with modern AI/LLM tool proficiency and front-end development capabilities. The "design-to-code" workflow is a critical aspect, suggesting candidates should have tangible experience bridging the gap between design and implementation, potentially using AI as an accelerant.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

Showcase end-to-end product design case studies for complex B2B SaaS applications, demonstrating your role and impact.
Include examples of designs for enterprise dashboards, analytics platforms, or market intelligence tools, highlighting data visualization and information hierarchy.
Present projects that involved integrating AI/LLM features or designing for probabilistic outputs, explaining the design rationale and user experience considerations.
Provide evidence of front-end implementation capabilities, potentially through interactive prototypes or code snippets, especially those created with AI-assisted tools.
Demonstrate user research processes, from problem definition to insight extraction and solution design, with clear articulation of user needs and design responses.

Process Documentation:

Outline your approach to user research, including methods for discovery, validation, and iteration within a B2B SaaS context.
Detail your workflow for designing AI-native features, considering the unique challenges of conversational interfaces and probabilistic outcomes.
Explain your process for collaborating with engineering, particularly regarding the "design-to-code" workflow and the use of AI-assisted development tools.
Document your methods for evaluating design impact against business objectives such as adoption, retention, and revenue.
Illustrate your strategy for developing and maintaining design systems or component libraries for enterprise applications.

📝 Enhancement Note: The portfolio requirements are heavily geared towards showcasing practical application of skills in complex B2B SaaS environments, with a strong emphasis on AI integration, data visualization, and a direct contribution to front-end development. Candidates should prepare to present case studies that clearly articulate their strategic thinking, problem-solving approach, and measurable impact.

💵 Compensation & Benefits

Salary Range: Given the Senior Product Designer title, 5+ years of experience, specialized skills in AI/LLM tooling and front-end development, and a remote status within the United States, a competitive salary range can be estimated. For a Senior Product Designer in the US, this would typically fall between $140,000 - $190,000 USD per year. This estimate is based on industry benchmarks for senior-level design roles in tech, particularly in the B2B SaaS and AI sectors, and accounts for the demand for specialized skills and the remote work arrangement.

Benefits:

Comprehensive health, dental, and vision insurance plans.
Generous paid time off (PTO) and company holidays.
Stock options or equity in a growing tech company.
Professional development budget for courses, conferences, and learning resources.
Home office stipend for setting up an optimal remote work environment.
401(k) or equivalent retirement savings plan with company match.
Parental leave policy.
Opportunities for professional growth and advancement within a small, senior team.

Working Hours: Standard full-time hours are expected, with flexibility to accommodate distributed teams and asynchronous work. While a 40-hour work week is typical, the emphasis on "opinionated about outcomes, flexible about process" suggests a focus on results rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The salary range is an estimation based on typical compensation for Senior Product Designers in the US tech market, adjusted for the specific requirements of AI/LLM proficiency, front-end development capabilities, and the fully remote nature of the role. Benefits are standard for a well-funded tech startup.

🎯 Team & Company Context

🏢 Company Culture

Industry: Decision Intelligence Platform / Artificial Intelligence / Enterprise Software. Rwazi operates in a rapidly evolving space, leveraging AI and consumer data to provide strategic business insights. This industry context means a fast-paced environment with a strong emphasis on innovation, data-driven decision-making, and cutting-edge technology.

Company Size: While not explicitly stated, the mention of a "small, senior team" and "one other designer" suggests a lean, agile organization, likely a Series A or B funded startup. This implies a culture where individual contributions have a significant impact and roles can be broad.

Founded: Founded in 2020, Rwazi is a relatively young company, indicating a dynamic and growth-oriented culture. The company is building its core products and market presence, offering opportunities to shape its trajectory.

Team Structure:

The Design team is small and senior, consisting of the Director of Product Design and this Senior Product Designer role, with potential for further growth.
Designers are embedded within cross-functional product teams, working directly with Product Managers and Engineering Leads.
Collaboration is direct and continuous, fostering an environment where designers are integral to product strategy and development.

Methodology:

Data-Driven Decision Making: Insights are derived from real-world consumer activity and enterprise data, guiding product development and strategic direction.
AI-First Approach: AI and LLMs are central to Rwazi's platform, influencing product features, user interactions, and development processes.
Agile Iteration: The "opinionated about outcomes, flexible about process" mantra suggests a focus on rapid prototyping, testing, and iterating based on user feedback and performance metrics.
Design-to-Code Integration: A core operational methodology involves designers using AI-assisted tools to prototype and build front-end implementations, streamlining the development cycle.

Company Website: https://rwazi.com

📝 Enhancement Note: The company culture is characterized by its focus on AI, data intelligence, and a lean, remote-first operational model. The "design-to-code" workflow is a significant cultural element, suggesting a highly collaborative and technically proficient design team.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Senior Product Designer position with significant product ownership and strategic influence. It's a critical juncture for designers looking to move beyond pure execution and shape the direction of an innovative AI-native enterprise product. The "product thinker first" approach means growth is tied to product strategy and business impact.

Reporting Structure: The Senior Product Designer reports directly to the Director of Product Design, indicating a clear line of mentorship and strategic oversight. This structure allows for focused guidance and development within the design discipline.

Operations Impact: The designer's work directly influences the adoption, retention, and revenue of Sena, Rwazi's core B2B AI platform. By making complex data and AI insights actionable, the designer plays a crucial role in driving customer value and business growth, directly impacting the company's success in the decision intelligence market.

Growth Opportunities:

Product Strategy Leadership: Potential to grow into a lead product design role, influencing product vision and strategy for broader areas of the Rwazi platform.
AI Design Specialization: Deepen expertise in designing for AI/LLM-powered products, becoming a specialist in this rapidly growing field.
Front-end Development Proficiency: Enhance skills in AI-assisted coding and front-end implementation, potentially leading to hybrid design-engineering roles.
Mentorship: As a senior member of a small team, opportunities to mentor junior designers (as the team grows) and contribute to establishing design best practices.
Cross-functional Leadership: Develop leadership skills by driving design initiatives and collaborating closely with executive product and engineering leadership.

📝 Enhancement Note: This role offers a unique growth trajectory for product designers who are interested in AI, data visualization, and a hands-on approach to product development. The opportunity to influence a nascent product and engage in a "design-to-code" workflow provides significant potential for skill diversification and career advancement.

🌐 Work Environment

Office Type: This is a fully remote position. There is no requirement for physical office presence, catering to a distributed workforce.

Office Location(s): The role is based in the United States, with the expectation of working remotely within this country. This allows for flexibility in personal location within the US while maintaining timezone alignment for key collaborations.

Workspace Context:

Collaborative Environment: Despite being remote, the emphasis on "direct and continuous" cross-functional collaboration with product and engineering leadership fosters a highly connected virtual workspace.
Tools & Technology: The team utilizes modern, efficient tools like Figma, Claude Code, PostHog, and GitHub, providing designers with a robust digital toolkit for design, development, and analytics.
Async-Friendly Operations: The remote and distributed nature of the company promotes asynchronous communication practices, allowing for focused work and flexibility across different time zones. This requires clear documentation and proactive communication.

Work Schedule: The role is full-time, with an expected 40 hours per week. The company's "flexible about process" approach implies that while core working hours for collaboration might exist (likely aligning with US business hours), there's a degree of autonomy in structuring the workday to maximize productivity and personal well-being.

📝 Enhancement Note: The fully remote and async-friendly nature of the work environment is a significant aspect. Candidates should be comfortable with self-management, proactive communication, and leveraging digital tools for collaboration and productivity within a distributed team structure.

📄 Application & Portfolio Review Process

Interview Process:

Initial Screening: A review of your application, resume, and portfolio to assess foundational skills and experience, particularly related to B2B SaaS, AI/LLM, and data visualization.
Design Challenge/Portfolio Review: A deep dive into your portfolio, focusing on specific case studies that demonstrate your end-to-end design process, problem-solving abilities, and impact. This may include a specific design challenge focused on data visualization or AI interaction.
Skills Assessment: Interviews to assess your front-end development capabilities (HTML/CSS, AI-assisted tools) and your user research methodologies. You may be asked to discuss your experience with tools like Claude Code.
Cross-functional Interviews: Discussions with product and engineering leadership to evaluate your product thinking, business acumen, collaboration style, and comfort with ambiguity. Expect questions framed around business impact.
Final Round: Potentially a discussion with senior leadership to assess cultural fit and long-term potential within the company.

Portfolio Review Tips:

Showcase B2B SaaS Expertise: Prioritize case studies from relevant B2B SaaS projects, especially those involving enterprise dashboards, analytics, or complex data interfaces.
Highlight AI/LLM Integration: Clearly articulate your experience designing for AI-powered features, detailing how you addressed challenges like probabilistic outputs and conversational interfaces.
Demonstrate "Design-to-Code" Workflow: Include examples or discussions of how you've utilized AI-assisted coding tools (e.g., Claude Code) to prototype or implement front-end components.
Emphasize Data Visualization: Present projects where you've effectively translated dense data into clear, actionable visualizations. Explain your design choices regarding chart types, information hierarchy, and progressive disclosure.
Quantify Impact: Wherever possible, use metrics to demonstrate the business impact of your designs (e.g., improvements in adoption, retention, user satisfaction, or efficiency). Frame your contributions in terms of business value.
Tell a Story: Structure your case studies to clearly outline the problem, your process, your solutions, and the outcomes. Be prepared to walk through these narratives in detail.

Challenge Preparation:

Anticipate Data Visualization Challenges: Practice designing interfaces for complex datasets. Consider how to present information clearly and intuitively for business users.
Prepare for AI Interaction Scenarios: Think about how to design conversational AI experiences that are helpful, reliable, and manage user expectations regarding AI capabilities.
Articulate Business Rationale: Be ready to explain your design decisions through the lens of business objectives (adoption, retention, revenue, efficiency).
Discuss Front-end Tools: Be prepared to talk about your experience with HTML/CSS and AI-assisted coding tools, and how you see them integrating into the design process.

📝 Enhancement Note: The interview process and portfolio review are heavily weighted towards practical application of skills in AI, data visualization, and front-end development within a B2B SaaS context. Candidates should be prepared to demonstrate not just design thinking, but also a hands-on capability and a business-oriented mindset.

🛠 Tools & Technology Stack

Primary Tools:

Figma: The primary tool for UI design, prototyping, and collaboration. Proficiency is essential for creating high-fidelity designs and interactive prototypes.
Claude Code (or similar AI-assisted coding tools): Integral to the "design-to-code" workflow for prototyping, building, and iterating on front-end implementations. Experience with these tools is a significant differentiator.
PostHog: Likely used for product analytics, user behavior tracking, and A/B testing, enabling data-driven design decisions and performance measurement.
GitHub: For version control of code, collaboration among engineers and potentially designers involved in front-end work.

Analytics & Reporting:

PostHog: For in-depth product analytics, funnel analysis, and user segmentation to understand user behavior and inform design improvements.
Data Visualization Libraries/Tools (internal or external): While not explicitly named, the role requires designing sophisticated visualizations, implying familiarity with principles and potentially tools used to render them.

CRM & Automation:

While not directly mentioned as a designer's primary tool, understanding how the product integrates with enterprise systems and CRM platforms is beneficial for context.

📝 Enhancement Note: The technology stack highlights a modern, integrated approach to product development, where design, AI assistance, and data analytics are closely intertwined. Proficiency in Figma is a given, but hands-on experience with AI-assisted coding tools like Claude Code and familiarity with product analytics platforms like PostHog are key requirements for this role.

👥 Team Culture & Values

Operations Values:

Data-Driven Innovation: Decisions are grounded in consumer data and AI insights, driving continuous innovation and product evolution.
Impact-Oriented: A strong focus on delivering tangible business outcomes, such as increased market share, revenue growth, and operational efficiency for clients.
Agile & Adaptable: Embracing change, iterating quickly, and being comfortable with ambiguity in a fast-paced startup environment.
Collaborative Spirit: Fostering direct and continuous collaboration across design, product, and engineering teams to achieve shared goals.
User-Centric AI: Designing AI-powered experiences that are intuitive, valuable, and address real-world user needs effectively.

Collaboration Style:

Direct & Continuous: Expect frequent interaction with product leadership and engineering teams, characterized by open communication and shared problem-solving.
Async-Friendly: While collaboration is direct, the remote and distributed nature necessitates strong asynchronous communication practices, including clear documentation and proactive updates.
Outcome-Focused: The team prioritizes achieving defined objectives, with flexibility in how those objectives are met, encouraging autonomy and ownership.
Feedback-Rich: A culture that values constructive feedback to drive continuous improvement in both product design and team processes.

📝 Enhancement Note: The team culture is defined by its innovative spirit, data-centric approach, and a strong emphasis on collaboration within a remote, fast-paced environment. The "opinionated about outcomes, flexible about process" ethos suggests a results-driven yet adaptable team.

⚡ Challenges & Growth Opportunities

Challenges:

Designing for Ambiguity: The Sena platform is in its early stages, requiring designers to make strategic decisions with incomplete information and adapt to evolving requirements.
Complex Data Visualization: Translating highly multi-dimensional and dense datasets into clear, actionable insights for enterprise users presents a significant design challenge.
AI/LLM Integration Nuances: Designing user experiences for AI-powered features, which can have probabilistic outputs and unique interaction models, requires careful consideration and iteration.
Bridging Design and Code: Effectively leveraging AI-assisted coding tools and collaborating closely with engineers to ensure seamless front-end implementation of designs.
Remote Collaboration at Scale: Maintaining strong team cohesion and effective communication within a fully remote and distributed environment.

Learning & Development Opportunities:

AI/LLM Design Specialization: Deepen expertise by working at the forefront of AI-native product design, learning to optimize user experiences for LLM capabilities.
Advanced Data Visualization Techniques: Gain hands-on experience with complex data storytelling and interactive data exploration tools.
Front-end Development Skills: Enhance practical skills in HTML/CSS and AI-assisted coding through daily use and collaboration with engineering.
Product Strategy Development: Grow as a product thinker by influencing the roadmap and strategic direction of an enterprise SaaS platform.
Cross-functional Leadership: Develop leadership capabilities by driving design initiatives and collaborating with senior stakeholders across the organization.

📝 Enhancement Note: The challenges are inherent to working on an innovative, early-stage product in a complex domain. The growth opportunities are substantial, offering a chance to become a specialist in high-demand areas like AI design and data visualization within a product-centric environment.

💡 Interview Preparation

Strategy Questions:

"Describe a time you had to design for a complex enterprise data set. What was your approach, and what were the key challenges in making the data actionable for users?" (Focus on data visualization, information hierarchy, user research).
"How have you integrated AI or LLM capabilities into your design process or product design? Discuss a specific example, including how you handled probabilistic outputs and user expectations." (Focus on AI/LLM fluency, design rationale).
"Walk us through your experience with front-end development and AI-assisted coding tools like Claude Code. How do you see design and development collaborating more closely in a 'design-to-code' workflow?" (Focus on front-end capability, collaboration).

Company & Culture Questions:

"What interests you about Rwazi's mission and the decision intelligence space?" (Focus on company research, alignment with mission).
"How do you approach working in a fully remote and async-friendly environment? What strategies do you use to stay connected and productive?" (Focus on remote work experience, collaboration style).
"Describe your experience working in a small, senior team where you have significant product ownership." (Focus on autonomy, collaboration, team dynamics).

Portfolio Presentation Strategy:

Structure Your Case Studies: For each case study, clearly outline: The Problem, Your Role, The Process (Research, Ideation, Design, Testing, Implementation), The Solution, and The Outcome/Impact.
Quantify Achievements: Use metrics and data to demonstrate the success of your designs. If exact metrics aren't available, discuss how you would measure success or what insights you gained.
Highlight the "Why": For every design decision, be prepared to explain the rationale behind it, linking it to user needs and business objectives.
Showcase Your Technical Skills: Be ready to discuss your experience with Figma, any prototyping tools, and especially your familiarity with AI-assisted coding and front-end development (HTML/CSS).
Prepare for Live Design Exercises: Be ready for potential live design exercises or discussions that test your thinking on the spot, possibly involving data visualization or AI interaction scenarios.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of strong design fundamentals, practical technical skills (AI tools, front-end), and a strategic, business-oriented mindset. Candidates should be ready to articulate their process and impact with concrete examples.

📌 Application Steps

To apply for this Senior Product Designer position:

Submit your application through the provided link on Ashby HQ, ensuring your resume and portfolio are up-to-date and readily accessible.
Curate Your Portfolio: Select 2-3 of your most relevant B2B SaaS case studies that showcase your experience with enterprise dashboards, data visualization, AI/LLM integration, and ideally, your "design-to-code" workflow. Ensure each case study clearly outlines the problem, your process, your solution, and the measurable impact.
Tailor Your Resume: Highlight keywords and experiences directly related to the job description, such as "B2B SaaS," "AI/LLM tooling," "Data Visualization," "Front-end Development (HTML/CSS)," "User Research," and "Enterprise Software." Quantify your achievements wherever possible.
Prepare Your Narrative: Be ready to discuss your design process, your approach to complex problems, and how you've contributed to business outcomes. Practice articulating your experience with AI-assisted tools and your understanding of their role in the development lifecycle.
Research Rwazi: Familiarize yourself with Rwazi's mission, their decision intelligence platform, and the Sena product. Understand their market position and how this role contributes to their overall strategy.

⚠️ 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.

Senior Product Designer