Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Fiddler AI

Location: Palo Alto, CA (Hybrid)

Job Type: Full-time

Category: Product Design / UX / UI

Date Posted: May 11, 2026

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

Remote Status: Hybrid

🚀 Role Summary

• Drive the end-to-end design process for critical product areas within Fiddler AI's platform, focusing on AI Observability and trustworthy AI solutions.

• Translate complex AI/ML capabilities and data-dense information into intuitive, scalable, and world-class user experiences for technical audiences.

• Collaborate closely with product managers, engineers, and data scientists to define design patterns, principles, and reusable components for a sophisticated enterprise software product.

• Conduct user research and discovery to deeply understand how technical teams evaluate, monitor, and govern AI in production environments.

• Maintain and evolve Fiddler's design system, ensuring consistency and efficiency across the platform while contributing to product strategy through a user-centered lens.

📝 Enhancement Note: This role is positioned as the second designer at an early-stage startup, indicating significant influence on design direction and the opportunity to shape foundational design principles and systems. The focus on AI Observability and trustworthy AI means designers will be at the forefront of a rapidly evolving and impact-driven technology sector.

📈 Primary Responsibilities

• Lead the design of user interfaces and interaction models for complex data-dense enterprise applications, particularly those involving AI/ML monitoring, evaluation, and governance.

• Develop and advocate for design patterns and principles that empower users to understand AI behavior, derive actionable insights, and make confident decisions regarding AI deployments.

• Partner with cross-functional teams (Product Management, Engineering, Data Science) to bring Fiddler's AI Observability platform to life, ensuring experiences are intuitive, robust, and built for enterprise scale.

• Execute comprehensive user research and discovery activities, including interviews, usability testing, and competitive analysis, to gather insights into the workflows and pain points of technical users evaluating AI in production.

• Maintain, evolve, and contribute to the company's design system, authoring reusable components, interaction patterns, and style guides that ensure scalability and consistency across the Fiddler platform.

• Translate technically complex AI/ML capabilities into elegant and user-friendly experiences, prioritizing customer needs and user experience throughout the product development lifecycle.

• Leverage AI tools to enhance design workflows, from early-stage ideation and prototyping to the creation of production-ready design specifications.

• Contribute to product strategy discussions by providing user-centric perspectives and advocating for design best practices.

📝 Enhancement Note: The emphasis on "embedding across product and engineering" and owning design "end-to-end" suggests a highly collaborative and autonomous role where the designer is expected to be a strategic partner, not just an executor. The need to understand how "technical teams evaluate, monitor, and govern AI" points to a user base that requires sophisticated, data-rich, and highly functional interfaces.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a background in Design (e.g., UX Design, Interaction Design, Graphic Design, Human-Computer Interaction) or a related technical field is expected, demonstrated through portfolio and experience.

Experience:

• 5+ years of professional experience in product design, UX design, interaction design, or a closely related field.

• Proven track record of designing complex, data-dense interfaces for enterprise software, monitoring dashboards, observability tools, or analytics platforms.

Required Skills:

• Systems Thinking: Ability to understand and design for complex interconnected systems and workflows, particularly within the AI/ML domain.

• User Research & Discovery: Proficiency in conducting user interviews, usability testing, and analytical research to inform design decisions.

• Design Systems: Experience in creating, maintaining, and scaling design systems, including component libraries and pattern documentation.

• Information Architecture: Skill in organizing and structuring complex information to ensure clarity and ease of navigation for technical users.

• Prototyping & Wireframing: Expertise in using design tools to create low-fidelity wireframes, high-fidelity mockups, and interactive prototypes.

• Cross-functional Collaboration: Demonstrated ability to work effectively with product managers, engineers, and data scientists in a fast-paced environment.

Preferred Skills:

• Experience designing for AI/ML products, data platforms, or developer tools.

• Familiarity with AI/ML concepts such as LLMs, generative AI, predictive models, and agentic systems.

• Experience working in an early-stage startup or high-growth environment with broad design scope and ambiguity.

• Proficiency in leveraging AI tools to accelerate design processes.

• Experience with SaaS and enterprise software design for technical audiences.

📝 Enhancement Note: The "5+ years" combined with "second designer" implies a need for someone who can operate with a high degree of autonomy and strategic input, potentially mentoring or guiding future design hires. The emphasis on "technical audiences" and "data-dense interfaces" is critical; candidates must showcase examples of solving complex information design problems for sophisticated users.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated online portfolio showcasing a minimum of 2-3 in-depth case studies that demonstrate end-to-end product design ownership.

• Case studies must highlight experience with complex, data-dense interfaces, ideally related to monitoring, analytics, observability, or enterprise software for technical users.

• Evidence of systems thinking and the ability to design scalable solutions, including contributions to or creation of design systems.

• Clear articulation of the design process, including user research, problem definition, ideation, prototyping, user testing, and iteration.

Process Documentation:

• Demonstrations of how user research and discovery findings were translated into design solutions.

• Examples of design system components and the rationale behind their creation and implementation.

• Artifacts showcasing the iterative design process, including wireframes, prototypes, and final UI designs, with explanations of design decisions.

• Evidence of collaboration with engineering and product teams, potentially including design specifications or handoff documentation.

📝 Enhancement Note: Given the role's focus on AI/ML and enterprise software, portfolios should prioritize case studies that tackle complex data visualization, workflow optimization for technical users, and system monitoring. Demonstrating an understanding of how users interact with and derive value from technical platforms is paramount.

💵 Compensation & Benefits

Salary Range: $190,000 - $220,000 annually (Bay Area). This range is based on the provided information and reflects competitive compensation for a Senior Product Designer in the specified high-cost-of-living region, considering the company's early-stage, venture-backed status and the demand for specialized AI/ML design talent.

Benefits:

• Competitive pay and equity package.

• Comprehensive health, dental, and vision insurance with 100% premium coverage for employees.

• 401(k) plan for retirement savings.

• Flexible Open Paid Time Off (PTO) policy.

• Monthly fitness reimbursement to support employee well-being.

• Paid parental leave to support new parents.

• Regular team and company events, including offsites.

• Palo Alto HQ perks: Annual Caltrain pass, monthly in-office massages, Fastrak reimbursement, catered lunches (Mon-Thurs), happy hours, ping pong tournaments, and a fully stocked snack and drink bar.

Working Hours: Standard full-time hours, approximately 40 hours per week, with flexibility expected in a hybrid startup environment.

📝 Enhancement Note: The stated salary range is specific to the Bay Area. Compensation decisions will be influenced by candidate experience, the specific leveling determined during the interview process, and other relevant job-related factors. The extensive benefits package reflects a startup's commitment to attracting and retaining talent in a competitive market.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) / Machine Learning (ML) Infrastructure & Observability. Fiddler AI operates within the rapidly evolving AI sector, specifically focusing on enabling trust, transparency, and responsible AI practices through its observability platform. This industry context means the company is at the cutting edge of technological innovation, addressing critical challenges posed by the widespread adoption of AI, including Generative AI and Agents.

Company Size: Early-stage startup, rapidly growing. This implies a dynamic, fast-paced environment where individuals can have a significant impact and wear multiple hats. Operations and design functions are likely to be lean, requiring adaptability and a proactive approach.

Founded: The company was founded by experienced leaders from major tech companies (Facebook, Pinterest, Twitter, Microsoft, Samsung, PayPal). This leadership background suggests a culture that values technical depth, product excellence, and a strategic approach to building a sustainable business. The company is backed by prominent venture capital firms (Insight Partners, Lightspeed Venture Partners, Lux Capital), indicating strong financial backing and growth potential.

Team Structure:

• The design team is currently small, with this role being the second designer. The Lead Product Designer will be the direct collaborator and potentially manager.

• The designer will be embedded within product and engineering teams, working closely with Product Managers, Engineers, and Data Scientists.

Methodology:

• Data-Driven Design: Decisions are informed by user research, data analysis, and an understanding of AI/ML principles.

• Agile Development: Likely working within an agile framework, requiring iterative design and close collaboration with development sprints.

• Systems-Level Thinking: Emphasis on understanding and designing for the entire AI lifecycle and the complex interactions within the Fiddler platform and its users' environments.

• Focus on Trust & Transparency: A core mission that permeates product development and design decisions, aiming to build user confidence in AI systems.

Company Website: https://www.fiddler.ai

📝 Enhancement Note: As an early-stage AI company, Fiddler AI likely fosters a culture of innovation, intense problem-solving, and a strong sense of mission. The emphasis on "building trust into AI" suggests a thoughtful and principled approach to product development, which designers will need to embody. The hybrid work model indicates a balance between in-person collaboration and remote flexibility.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role. It signifies a mid-to-senior level position requiring significant expertise in product design, UX/UI, and the ability to operate autonomously on complex projects. The role implies ownership of significant product areas and the expectation to contribute strategically to design direction.

Reporting Structure: The Senior Product Designer will work directly alongside the Lead Product Designer. This suggests a mentorship opportunity and a pathway for growth within the design function as the company scales. The designer will also be embedded within product and engineering teams, reporting functionally to design leadership but collaborating daily with other departments.

Operations Impact: The Senior Product Designer will have a direct and substantial impact on the usability, effectiveness, and adoption of Fiddler AI's platform. By translating complex AI/ML concepts into intuitive experiences, they will directly influence how technical teams understand, trust, and manage their AI systems. This role is crucial for translating Fiddler's cutting-edge technology into tangible value for enterprise customers, thereby driving revenue and market position.

Growth Opportunities:

• Design Leadership: As the second designer, there's a clear opportunity to grow into a more senior or lead design role as the company scales and the design team expands.

• Specialization: Deepen expertise in AI/ML product design, AI Observability, and designing for technical audiences, becoming a recognized expert in a high-demand field.

• Strategic Influence: Contribute to product strategy, form foundational design principles, and influence the long-term vision of Fiddler's platform.

• Mentorship: Potential to mentor junior designers as the team grows.

• Industry Exposure: Gain invaluable experience at the forefront of the AI revolution, working with innovative technologies and high-profile clients.

📝 Enhancement Note: The "Senior" title in an early-stage startup often means more responsibility and potential for rapid advancement than in larger, more established organizations. The user's ability to influence design systems and principles from an early stage offers significant career leverage.

🌐 Work Environment

Office Type: Hybrid. Fiddler AI offers a hybrid work environment, allowing employees to balance remote work with in-office collaboration. The Palo Alto office serves as a hub for team interaction, brainstorming, and company culture building.

Office Location(s): Palo Alto, California. This location is in the heart of Silicon Valley, offering access to a vibrant tech ecosystem and talent pool. Specific details about the office layout and amenities are provided in the benefits section (e.g., catered lunches, ping pong, stocked snacks).

Workspace Context:

• Collaborative Environment: The hybrid model encourages in-person collaboration, team events, and informal interactions (e.g., happy hours, ping pong), fostering team cohesion and idea exchange.

• Tools & Technology: While not explicitly detailed for designers, the company's focus on AI/ML suggests a modern technology stack. Designers will likely have access to industry-standard design software and potentially AI-assisted design tools.

• Team Interaction: Opportunities for regular interaction with product managers, engineers, data scientists, and fellow designers, facilitating a shared understanding of product goals and user needs.

Work Schedule: While generally adhering to standard full-time hours (approx. 40/week), the startup environment and hybrid model likely offer some flexibility. The focus will be on delivering results and collaborating effectively, with adaptability expected.

📝 Enhancement Note: The Palo Alto office perks suggest a company culture that values employee well-being, team building, and creating a positive, engaging work environment. The hybrid nature requires self-discipline and strong communication skills to maintain productivity and connection regardless of location.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, cultural fit, and interest in the role and Fiddler AI.

• Portfolio Review: A dedicated session or discussion with the Lead Product Designer and potentially a Product Manager to review the candidate's portfolio. Expect deep dives into case studies, design process, and problem-solving approaches.

• Design Challenge/Workshop: A practical exercise, potentially including a design problem related to AI Observability or data-dense interfaces. This could be a take-home assignment or a live workshop.

• Cross-functional Interviews: Meetings with Product Managers, Engineers, and Data Scientists to assess collaboration skills, technical understanding, and ability to work within a cross-functional team.

• Final Interview: Possibly with founders or senior leadership to discuss strategic vision, cultural alignment, and overall fit.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the problem you solved, your role, the process you followed, and the measurable outcomes or impact of your design. Quantify results where possible (e.g., improved user satisfaction, increased task completion rate, reduced error rates).

• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes) to illustrate your design process and final solutions. Explain your design decisions and the rationale behind them, especially for complex technical challenges.

• Highlight Relevant Experience: Emphasize projects involving data-dense interfaces, enterprise software, AI/ML products, or designing for technical audiences.

• Demonstrate Process: Walk through your end-to-end design process, from discovery and research to iteration and final delivery. Show how you handle ambiguity and solve complex problems.

• Be Prepared for Technical Depth: Understand that Fiddler AI works with sophisticated technology. Be ready to discuss how you approach designing for complex technical concepts, even if you are not an engineer.

Challenge Preparation:

• Understand the Domain: Research AI Observability, AI governance, and the challenges of monitoring and understanding AI systems. Familiarize yourself with common AI/ML concepts relevant to Fiddler's platform (e.g., LLMs, generative AI).

• Focus on Data: Practice designing interfaces that effectively present and allow interaction with complex datasets and analytical information. Think about data visualization best practices.

• User-Centricity: Approach any challenge by first defining the target user and their core needs and pain points.

• Structure Your Approach: For any design challenge, outline your plan: understanding the problem, defining users, brainstorming solutions, outlining key features, and presenting your proposed design.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to handle complexity and translate technical concepts into user-friendly designs. A strong portfolio showcasing relevant projects and a clear, structured approach to design challenges will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: While not explicitly stated, expect proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), and prototyping tools like InVision or Principle.

• User Research: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, SurveyMonkey).

• Design System Management: Experience with tools and methodologies for managing and scaling design systems.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant for the Senior Product Designer role, but an awareness of how design integrates with product and engineering workflows is expected.

📝 Enhancement Note: Proficiency in Figma is increasingly becoming a standard expectation for product designers, especially in collaborative startup environments. The ability to leverage AI tools for design acceleration is also a specific requirement mentioned in the job description.

👥 Team Culture & Values

Operations Values:

• Building Trust into AI: This is Fiddler's core mission and will likely be a guiding principle for all design decisions. Designers must be mindful of how their work contributes to user trust and transparency in AI systems.

• Innovation & Trailblazing: As an early-stage company in a fast-moving field, a culture of innovation, experimentation, and pushing boundaries is expected.

• Data-Driven Approach: Decisions are backed by research, data, and a deep understanding of technical user needs.

• Collaboration & Empathy: The team is described as "intelligent and empathetic doers, thinkers, creators, builders," emphasizing a collaborative spirit and understanding of user and team member perspectives.

• Excellence & Impact: A drive to build world-class products that have a significant impact on the AI industry and society.

Collaboration Style:

• Embedded & Cross-functional: Designers are expected to be deeply integrated within product and engineering teams, working closely with PMs, engineers, and data scientists.

• Open Communication: A culture that encourages clear, direct, and constructive communication is vital for aligning diverse technical and design perspectives.

• Iterative & Feedback-Oriented: The startup environment and focus on product development imply a continuous cycle of feedback, iteration, and improvement.

• Shared Ownership: While individual roles are defined, there's an implicit expectation of shared ownership for product success, fostering a team-oriented approach.

📝 Enhancement Note: Candidates should demonstrate an alignment with Fiddler's mission of building trust in AI. This means approaching design challenges with a sense of responsibility and a focus on clarity, explainability, and user empowerment, especially when dealing with complex AI outputs.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Translating sophisticated AI/ML concepts, models, and data into understandable and actionable user experiences is inherently challenging.

• Balancing Technical Depth with Usability: Creating interfaces that cater to highly technical users while remaining intuitive and efficient requires a nuanced approach.

• Ambiguity in an Early-Stage Startup: Navigating evolving priorities, undefined processes, and broad scope requires adaptability, proactivity, and strong problem-solving skills.

• Scaling Design Systems: Ensuring a design system can effectively scale with the product and company growth while maintaining consistency and utility.

• Staying Ahead of AI Innovation: The rapid pace of AI development requires continuous learning and adaptation to design for emerging technologies like Generative AI and Agents.

Learning & Development Opportunities:

• Deep Dive into AI Observability: Gain specialized knowledge in a critical and growing field within AI.

• Mastering Complex Data Visualization: Enhance skills in designing for intricate data-dense interfaces and analytical platforms.

• Startup Growth Experience: Develop skills in building and scaling design functions within a high-growth environment.

• Industry Recognition: Contribute to Fiddler AI's position as a pioneer in AI Observability, gaining visibility and experience in a cutting-edge tech sector.

• Mentorship & Leadership: Opportunities to learn from experienced leaders and potentially mentor future design hires.

📝 Enhancement Note: The challenges presented are significant but directly tied to opportunities for substantial professional growth and skill development, particularly in the high-demand field of AI product design.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing complex, data-dense interfaces. How do you ensure clarity and usability for technical users?" (Focus on your systematic approach, research methods, and iterative design).

• "Walk me through a case study where you had to translate a technically complex feature or capability into a user-friendly experience. What were the challenges, and how did you overcome them?" (Highlight problem definition, user empathy, and solution design).

• "How do you approach building or evolving a design system, especially in a fast-paced startup environment? What are the key principles you follow?" (Emphasize scalability, reusability, and collaboration).

Company & Culture Questions:

• "What interests you about Fiddler AI's mission to build trust into AI? How do you see design contributing to this mission?" (Research Fiddler's purpose and connect your design philosophy to it).

• "How do you approach working in an early-stage startup environment where ambiguity is common?" (Demonstrate adaptability, proactivity, and comfort with evolving requirements).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem, your role, the users, your process (research, ideation, design, testing), the solutions, and the impact/outcomes.

• Highlight Key Decisions: Be prepared to explain why you made specific design choices, referencing user research, technical constraints, or business goals.

• Showcase Your Process: Don't just show final screens; include sketches, wireframes, user flows, and prototypes to illustrate your thinking.

• Focus on Relevance: Prioritize case studies that most closely align with designing for technical audiences, data-dense interfaces, or complex enterprise software.

• Be Ready for Deep Dives: Expect detailed questions about your contributions, design rationale, and problem-solving abilities within each case study.

📝 Enhancement Note: Candidates should prepare to articulate their design thinking process in detail, demonstrating not only visual design skills but also strategic problem-solving and a deep understanding of user needs within a technical context. Emphasizing the "trust" aspect of Fiddler's mission will be crucial.

📌 Application Steps

To apply for this Senior Product Designer position at Fiddler AI:

• Submit Your Application: Apply through the provided link on Ashby.

• Curate Your Portfolio: Ensure your online portfolio is up-to-date, showcasing 2-3 strong case studies that highlight your experience with complex, data-dense interfaces, enterprise software, and designing for technical audiences.

• Tailor Your Resume: Optimize your resume to highlight keywords and responsibilities mentioned in the job description, such as "product design," "UX design," "interaction design," "data-dense interfaces," "AI/ML products," "enterprise software," and "cross-functional collaboration." Quantify achievements where possible.

• Prepare Your Narrative: Practice articulating your design process, key decision-making rationale, and the impact of your work for each case study in your portfolio. Be ready to discuss your experience with design systems and user research.

• Research Fiddler AI: Understand the company's mission ("building trust into AI"), its product offerings (AI Observability), its target audience (technical teams), and its position in the market. Familiarize yourself with concepts like Generative AI and AI governance.

⚠️ 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.