Senior Product Designer

Fiddler AI
Full-timeβ€’$190k-215k/year (USD)

πŸ“ Job Overview

Job Title: Senior Product Designer

Company: Fiddler AI

Location: Palo Alto, California, U.S.

Job Type: Full-Time

Category: Product Design / UX / GTM Operations Enablement

Date Posted: 2026-07-27

Experience Level: 5-10 Years

Remote Status: Hybrid

πŸš€ Role Summary

  • Drive end-to-end product design for a cutting-edge AI Observability platform, translating complex technical capabilities into intuitive enterprise experiences.

  • Collaborate closely with product managers, engineers, and data scientists to define and deliver world-class user experiences for technical audiences.

  • Contribute to the evolution of Fiddler's design system, authoring reusable components and interaction patterns that ensure scalability and consistency across the platform.

  • Conduct user research and discovery to deeply understand the needs of technical teams evaluating, monitoring, and governing AI in production environments.

  • Leverage AI tools to accelerate design workflows from initial discovery and concepting through to production-ready specifications.

πŸ“ Enhancement Note: While the role is Senior Product Designer, the responsibilities and company focus strongly align with GTM Operations Enablement by creating intuitive interfaces for complex technical products. This means the candidate will be instrumental in making Fiddler's AI Observability platform accessible and usable for its target technical customer base, directly impacting adoption and customer success. The emphasis on "data-dense interfaces," "monitoring dashboards," and "observability tools" highlights the critical nature of this role in supporting the Go-To-Market strategy by delivering a product that resonates with technically sophisticated users.

πŸ“ˆ Primary Responsibilities

  • Design and prototype end-to-end user experiences for Fiddler's AI Observability platform, focusing on clarity, efficiency, and user empowerment.

  • Partner effectively with cross-functional teams, including engineering, product management, and data science, to ensure seamless integration of design into the product development lifecycle.

  • Develop and champion design patterns and principles that enable users to easily understand AI behavior, surface critical insights, and make confident, data-driven decisions.

  • Lead user research initiatives, employing generative and evaluative methods to gather insights on how technical teams interact with, monitor, and govern AI models in production.

  • Maintain and enhance the Fiddler design system, creating and documenting reusable components, interaction patterns, and style guides to ensure product consistency and accelerate future design efforts.

  • Translate highly technical AI/ML concepts and capabilities into intuitive, user-friendly interfaces suitable for enterprise-scale applications.

  • Drive design thinking and user-centricity across the product organization, advocating for user needs and best practices in design.

  • Proactively identify areas for design improvement and innovation, demonstrating high agency in driving solutions for ambiguity and technical challenges.

πŸ“ Enhancement Note: The responsibilities emphasize a deep understanding of technical products and enterprise software, indicating a need for a designer who can bridge the gap between complex AI/ML concepts and user interfaces. The focus on "design patterns and principles that help users understand AI behavior" and "translate technically complex capabilities into world-class experiences" points to a critical role in enabling customer success and adoption within the AI Observability domain.

πŸŽ“ Skills & Qualifications

Education: While no specific degree is mandated, a background in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is highly beneficial.

Experience: 5+ years of progressive experience in product design, UX design, or interaction design, with a significant focus on complex, data-dense technical products.

Required Skills:

  • Proven expertise in end-to-end product design, from user research and ideation to high-fidelity prototyping and detailed specifications.

  • Demonstrated experience designing for complex technical products, such as enterprise software, data platforms, developer tools, or observability solutions.

  • Strong portfolio showcasing data-dense interfaces, monitoring dashboards, analytics platforms, or similar complex technical UIs.

  • Proficiency in systems thinking, capable of understanding and designing for intricate interconnected systems and workflows.

  • Experience in conducting user research and discovery, translating user needs into actionable design solutions.

  • Ability to maintain and evolve design systems, creating reusable components and ensuring design consistency at scale.

  • Familiarity with modern design and prototyping tools (e.g., Figma, Sketch, Adobe Creative Suite).

  • Experience collaborating effectively with cross-functional teams, including product managers, engineers, and data scientists.

  • Comfort and proficiency in using AI tools to augment and accelerate design processes. Preferred Qualifications:

  • Experience in an early-stage or high-growth startup environment, demonstrating adaptability and comfort with ambiguity.

  • Specific experience designing for AI/ML products, data platforms, or complex enterprise SaaS solutions targeting technical audiences.

  • Familiarity with AI/ML concepts, including LLMs, generative AI, predictive models, and agentic systems. Curiosity and a willingness to learn about these technologies are highly valued.

  • Experience designing developer tools or DevOps platforms.

πŸ“ Enhancement Note: The requirements strongly emphasize experience with complex technical products and data-dense interfaces, aligning with the sophisticated nature of Fiddler's AI Observability platform. The preference for startup experience and familiarity with AI/ML concepts are key indicators of the ideal candidate profile for this high-impact role.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 3-5 significant projects demonstrating end-to-end product design ownership.

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

  • Include case studies that detail your design process, from initial problem definition and user research to final design solutions and rationale.

  • Demonstrate your ability to define and utilize design systems, including examples of reusable components and interaction patterns.

  • For each project, clearly articulate the problem you were solving, your role, the process you followed, key decisions, and the impact of your design. Process Documentation:

  • Evidence of user research methodologies employed, including discovery techniques and how user insights informed design decisions.

  • Examples of wireframes, user flows, and high-fidelity mockups that illustrate your design thinking and problem-solving approach.

  • Prototypes that demonstrate interactive elements and core user journeys.

  • Documentation related to design system contributions, including component specifications and usage guidelines.

  • Case studies that quantify design impact where possible (e.g., improvements in task completion time, user satisfaction metrics, adoption rates).

πŸ“ Enhancement Note: The emphasis on a portfolio showcasing "data-dense interfaces," "monitoring dashboards," and "observability tools" is critical. Candidates must demonstrate their ability to translate complex technical data into actionable and intuitive user experiences, a core requirement for Fiddler's target audience. This also implies a need for strong visual design skills coupled with a deep understanding of information architecture and user flows for technical applications.

πŸ’΅ Compensation & Benefits

Salary Range: $190,000 - $215,000 USD per year (Bay Area)

Benefits:

  • Competitive salary and equity package.

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

  • 401(k) retirement savings plan.

  • Open and flexible Paid Time Off (PTO) policy.

  • Monthly fitness reimbursement to support employee well-being.

  • Comprehensive paid parental leave.

  • Regular team and company events, including offsites (e.g., Las Vegas).

  • Annual Caltrain pass for convenient commuting.

  • Monthly in-office massages.

  • Fastrak (toll transponder) reimbursement.

  • Daily catered lunch (Monday-Thursday).

  • Regular happy hours, ping pong tournaments, and fully stocked snacks and drinks.

Working Hours: Standard full-time work, typically around 40 hours per week, with flexibility often afforded in a hybrid environment.

πŸ“ Enhancement Note: The provided salary range is specific to the Bay Area and reflects a Senior Product Designer role in a high-cost-of-living region within the tech industry. The extensive benefits package, including 100% premium healthcare coverage and numerous perks, indicates a company culture that values employee well-being and offers a competitive total compensation. The salary is determined by factors including experience, leveling, location, and other job-related considerations.

🎯 Team & Company Context

🏒 Company Culture

Industry: Artificial Intelligence (AI) / Machine Learning (ML) / Enterprise Software / AI Governance & Trust. Fiddler AI operates in the rapidly evolving AI Observability and Responsible AI space, helping organizations ensure their AI applications are trustworthy, transparent, and secure.

Company Size: Early-stage startup, rapidly growing. As the second designer, you will be joining a small, high-impact design team. This environment offers significant influence and opportunity for growth.

Founded: Fiddler AI was founded by experienced leaders from major tech companies like Facebook, Pinterest, Twitter, Microsoft, Samsung, and PayPal. The company is backed by prominent venture capital firms including Insight Partners, Lightspeed Venture Partners, and Lux Capital.

Team Structure:

  • You will be part of a small, high-impact design team, working directly alongside the Lead Product Designer.

  • You will be embedded within product and engineering teams, fostering close collaboration.

  • The role requires working with product managers, engineers, and data scientists daily. Methodology:

  • Focus on building trust into AI, enabling organizations to deploy responsible and transparent AI solutions.

  • Platform usage by AI Engineers, Data Scientists, and business teams to monitor, evaluate, secure, analyze, and improve AI solutions.

  • Emphasis on understanding the "what," "why," and "how" behind AI outcomes for both technical and business stakeholders.

  • Data-driven approach to product development, leveraging insights from user research and platform usage.

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

πŸ“ Enhancement Note: Fiddler AI is positioned as a pioneer in AI Observability, a critical and growing field. The company culture is characterized by a mission-driven approach to building trust in AI, a fast-paced startup environment, and a strong emphasis on technical innovation. The role of Senior Product Designer is crucial in making complex AI technology accessible and understandable, directly supporting the company's mission and go-to-market strategy.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC). This role is the second designer hired, offering significant ownership and influence. It's a hands-on position focused on execution and strategic design contributions rather than management.

Reporting Structure: You will work directly alongside the Lead Product Designer and be embedded within product and engineering teams. This suggests a collaborative and flat organizational structure within the product development function.

Operations Impact: The design of Fiddler's platform directly impacts how technical teams understand, monitor, and trust AI systems. This role is pivotal in ensuring the usability and effectiveness of the AI Observability solution, which in turn drives customer adoption, satisfaction, and retentionβ€”key metrics for GTM success. By making complex AI behavior understandable, the design team enables users to leverage AI more effectively and responsibly.

Growth Opportunities:

  • Deep Domain Expertise: Opportunity to become a subject matter expert in AI Observability and responsible AI design, a rapidly expanding field.

  • Design System Ownership: Contribute significantly to and potentially lead the evolution of a growing design system, impacting multiple product areas.

  • Cross-functional Leadership: Influence product strategy and development through close collaboration with senior leaders in product and engineering.

  • Startup Growth: As an early member of the design team, there's potential for growth into leadership roles as the company scales.

  • Skill Development: Exposure to AI/ML concepts and their application in enterprise software, enhancing your technical design acumen.

πŸ“ Enhancement Note: This role offers substantial growth potential within a specialized and high-demand area of AI. The seniority of the position and the early-stage nature of the company mean that the individual contributor will have a significant impact and opportunities to shape processes and product direction.

🌐 Work Environment

Office Type: Hybrid. The company offers Palo Alto HQ vibes with provided lunch and an office environment, alongside the flexibility of remote work.

Office Location(s): Palo Alto, California, U.S.

Workspace Context:

  • A collaborative environment where designers are embedded within product and engineering teams, fostering close working relationships and rapid iteration.

  • Access to modern design tools and the opportunity to leverage AI tools to enhance the design workflow.

  • The office offers specific perks like catered lunches, massages, and recreational activities, suggesting a focus on employee comfort and team building within the physical workspace.

  • The hybrid model allows for focused work at home and collaborative sessions in the office.

Work Schedule: Standard full-time hours are expected, with the hybrid model offering flexibility in where and how you structure your work week, balancing focused design time with collaborative team engagement.

πŸ“ Enhancement Note: The hybrid work environment in Palo Alto combines the benefits of a physical office with the flexibility of remote work. The specific office perks aim to create a comfortable and engaging workspace, crucial for fostering collaboration and innovation in a fast-paced startup setting.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter will review your application and portfolio. Be prepared to clearly articulate your experience and design philosophy.

  • Portfolio Review with Lead Designer: Expect a deep dive into your portfolio, discussing specific projects, your process, challenges, and outcomes. Focus on projects relevant to data-dense interfaces and complex technical products.

  • Cross-functional Interviews: Interviews with Product Managers and Engineers to assess your collaboration skills, systems thinking, and ability to translate technical requirements into user-centered designs.

  • Hiring Manager/Founder Interview: A final discussion to assess cultural fit, strategic thinking, and overall alignment with Fiddler AI's mission.

Portfolio Review Tips:

  • Curate Wisely: Select 2-3 of your strongest projects that best demonstrate your experience with complex technical products, data visualization, and enterprise software.

  • Tell a Story: For each project, clearly articulate the problem, your role, your process (research, ideation, design, testing), the rationale behind your decisions, and the impact achieved.

  • Highlight AI/ML Relevance: If you have experience with AI/ML products or concepts, make sure to emphasize it. Showcase how you approached designing for technical users and complex data.

  • Design System Example: Include a section or project that demonstrates your understanding and contribution to design systems.

  • Showcase Technical Understanding: Explain how you translated complex technical capabilities into intuitive user experiences.

Challenge Preparation:

  • Be prepared to discuss your approach to designing for ambiguity and fast-paced environments.

  • Think about how you would tackle designing for AI Observability – what are the key user needs and challenges?

  • Practice articulating your design decisions and their impact clearly and concisely.

πŸ“ Enhancement Note: The interview process is designed to assess not only design skills but also the candidate's ability to operate effectively in a technical, data-intensive, and collaborative startup environment. The portfolio review is a critical step, requiring candidates to strategically showcase relevant projects that align with Fiddler's product domain.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma (highly probable as a modern standard), Sketch, Adobe Creative Suite.

  • AI Tools for Design: Candidates are expected to be comfortable using AI tools to accelerate their design work, implying familiarity with AI-powered design assistants, image generation tools, or other AI-driven design aids.

Analytics & Reporting: While not directly a designer's tool, understanding how data is presented and consumed in analytics dashboards is crucial. Familiarity with concepts behind tools like Tableau, Looker, or custom-built dashboards within enterprise software is beneficial.

CRM & Automation: Not directly applicable to the core design role, but an understanding of how sales and customer success teams use CRM (e.g., Salesforce) and automation tools can provide context for user needs in enterprise software.

πŸ“ Enhancement Note: The explicit mention of "AI tools to accelerate design work" is a key differentiator for this role. Candidates should be prepared to discuss their experience or interest in leveraging AI in their design process. Proficiency in industry-standard design tools like Figma will be essential.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Building Trust in AI: A core mission that permeates all aspects of the company and product development.

  • Innovation & Trailblazing: Operating at the forefront of AI Observability and Generative AI, encouraging a culture of pioneering new solutions.

  • Impact-Driven: A focus on making a tangible difference in how AI is deployed and used across industries.

  • Collaboration & Empathy: Working together as intelligent doers and thinkers, with an understanding of the human implications of AI.

  • Transparency & Clarity: Striving to make complex AI systems understandable and accessible.

Collaboration Style:

  • Embedded Design: Designers work closely with product and engineering, fostering a highly integrated and iterative development process.

  • Cross-functional Alignment: Strong emphasis on partnering with various departments to ensure a cohesive product vision and execution.

  • Open Communication: Encouraged due to the fast-paced startup environment and the need to navigate ambiguity.

πŸ“ Enhancement Note: The company values are deeply tied to its mission of building trust in AI. Candidates who align with this mission and thrive in a collaborative, innovative, and impact-oriented startup culture will be a strong fit.

⚑ Challenges & Growth Opportunities

Challenges:

  • Designing for Complexity: Making highly technical AI concepts and data-dense interfaces intuitive for sophisticated users.

  • Navigating Ambiguity: As an early-stage startup, processes and product direction may evolve rapidly, requiring adaptability and proactive problem-solving.

  • Balancing Technical Depth and User Experience: Ensuring the platform is powerful and comprehensive while remaining usable and accessible.

  • Staying Ahead of AI Innovation: The AI landscape is constantly changing; designers must remain curious and informed about new developments like Generative AI and Agents.

Learning & Development Opportunities:

  • AI/ML Domain Mastery: Gain in-depth knowledge of AI Observability, Generative AI, LLMs, and their applications.

  • Product Strategy Influence: Play a key role in shaping the product's direction and user experience as an early design team member.

  • Design System Development: Contribute to building and scaling a robust design system.

  • Cross-functional Expertise: Develop strong partnerships and understanding across product management, engineering, and data science.

  • Startup Environment Experience: Gain invaluable experience in a high-growth tech startup.

πŸ“ Enhancement Note: The role presents both significant challenges and immense growth opportunities. Successfully navigating these challenges will lead to significant professional development, particularly in the rapidly evolving field of AI and its application in enterprise software.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you designed a complex, data-dense interface. What were your key considerations, and what was the outcome?"

  • "How do you approach understanding the needs of highly technical users, such as AI engineers or data scientists?"

  • "Walk us through your process for designing a new feature for an enterprise SaaS product."

  • "How do you contribute to or maintain a design system? Provide an example."

  • "What AI tools have you used to accelerate your design process, and how?"

  • "How do you balance designing for technical accuracy with user intuitiveness?" Company & Culture Questions:

  • "What interests you about Fiddler AI's mission to build trust into AI?"

  • "How do you handle ambiguity and rapid change in a startup environment?"

  • "Describe your ideal collaboration with product managers and engineers."

  • "What are your thoughts on the current state of AI Observability and Responsible AI?" Portfolio Presentation Strategy:

  • Focus on Process: Clearly articulate your design process for each selected project, emphasizing research, ideation, iteration, and problem-solving.

  • Quantify Impact: Where possible, present metrics or outcomes that demonstrate the value of your design solutions.

  • Technical Translation: Explicitly explain how you translated complex technical concepts into user-friendly designs.

  • Design System Integration: Showcase how your work aligns with or contributes to design system principles.

  • AI/ML Context: If applicable, highlight how your experience or understanding of AI/ML influenced your design decisions.

πŸ“ Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of user-centered design principles applied to complex technical products, a proactive and collaborative work style, and genuine interest in Fiddler AI's mission. The portfolio presentation is key to showcasing practical application of these skills.

πŸ“Œ Application Steps

To apply for this Senior Product Designer position:

  • Submit your application through the provided link on Ashby.

  • Portfolio Customization: Tailor your portfolio to highlight projects involving complex data interfaces, enterprise software, or technical audiences. Clearly showcase your end-to-end design process and problem-solving skills.

  • Resume Optimization: Ensure your resume clearly articulates your 5+ years of relevant experience, emphasizing achievements in UX/product design for technical products and any experience with AI/ML or data platforms.

  • Prepare for Portfolio Review: Be ready to walk through your selected portfolio projects in detail, explaining your role, process, decisions, and impact. Practice articulating your design philosophy and approach to complex challenges.

  • Research Fiddler AI: Understand Fiddler's mission, product, target audience, and recent news. Be prepared to discuss why you are excited about contributing to their goal of building trust into AI.

⚠️ 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 5+ years of experience in product design focusing on complex technical products and data-dense interfaces. Experience with AI/ML products, enterprise software, and a strong portfolio showcasing observability or analytics tools is expected.