Senior Product Designer, AI

📍 Job Overview

Job Title: Senior Product Designer, AI
Company: Amplitude
Location: San Francisco, CA
Job Type: Full-Time
Category: Product Design / AI Product Development
Date Posted: 2025-10-02
Experience Level: Senior (5-10 years implied)
Remote Status: Hybrid

🚀 Role Summary

• Lead end-to-end product design for AI initiatives, from strategic conceptualization through to execution and launch, focusing on novel AI experiences like Copilots and AI Agents.
• Design consumer-grade user experiences specifically tailored for B2B enterprise SaaS products, ensuring intuitiveness and high usability.
• Drive innovation at the intersection of cutting-edge AI technology and user-centered design, frequently shipping and iterating based on customer feedback.
• Develop and implement design frameworks and patterns to ensure scalability and consistency of AI-driven features across the Amplitude platform.
• Foster a strong design culture that promotes continuous learning, collaboration, and elevates the quality of design output across the organization.

📝 Enhancement Note: The role is explicitly focused on AI product design, emphasizing the need for candidates to understand and leverage the latest AI models and paradigms. The "Senior" title, coupled with responsibilities like leading design end-to-end and defining scaling frameworks, suggests a need for significant autonomy, strategic thinking, and a proven ability to influence product direction. The mention of "consumer-grade experiences for enterprise tools" highlights a critical design challenge requiring a balance of sophistication and usability.

📈 Primary Responsibilities

• Spearhead the entire design lifecycle for AI-powered product features, encompassing strategy definition, user research, wireframing, prototyping, high-fidelity design, and final implementation oversight.
• Conceptualize and design innovative user interfaces and interaction models for AI agents, copilots, and advanced data visualization within the Amplitude platform.
• Utilize rapid prototyping with modern tools (e.g., Cursor, V0, Bolt) to effectively communicate design concepts and align stakeholders, including product management, engineering, and leadership.
• Collaborate closely with cross-functional teams (Product Managers, Engineers) to ensure a seamless integration of AI features and to deliver cohesive, high-quality user experiences.
• Define, document, and evangelize design patterns and reusable components for AI interactions to ensure consistency and efficiency across the Amplitude product suite.
• Conduct user research and analyze customer feedback to inform design decisions, drive iterative improvements, and validate the effectiveness of AI features.
• Contribute to the growth and maturity of Amplitude's design system, particularly as it pertains to AI-driven functionalities and experiences.
• Actively participate in design critiques and knowledge-sharing sessions to elevate the overall design practice and mentor junior designers.

📝 Enhancement Note: Responsibilities emphasize end-to-end ownership, strategic contribution to AI product direction, and a hands-on approach to design execution. The requirement to "build frameworks and patterns" indicates a need for a systems-level thinker who can contribute to the long-term scalability of AI features, not just individual feature design.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and a deep understanding of design principles is paramount. A degree in Design, Human-Computer Interaction, Computer Science, or a related field is considered a strong asset.
Experience: A minimum of 5-10 years of professional experience in product design, with a significant portion dedicated to B2B enterprise SaaS products. Proven experience in designing and shipping AI-powered features or products is a critical requirement.

Required Skills:

• Product Design Leadership: Demonstrated ability to lead design initiatives from concept to launch, managing complex projects with multiple stakeholders.
• AI/ML Product Design: Expertise in designing user experiences for AI-driven products, understanding concepts like LLMs, copilots, and AI agents.
• Prototyping & Wireframing: Proficiency with modern design and prototyping tools (e.g., Figma, Sketch, Adobe XD) and rapid prototyping techniques using tools like Cursor, V0, Bolt.
• B2B Enterprise SaaS Design: Proven experience designing intuitive and effective user interfaces for complex enterprise software.
• Systems Thinking: Ability to conceptualize and design scalable design frameworks, patterns, and components for AI experiences.
• Communication & Storytelling: Exceptional written and verbal communication skills, with the ability to articulate design decisions, rationale, and impact clearly to diverse audiences.
• Ambiguity Navigation: Strong capability to thrive in ambiguous problem spaces, bringing clarity and structure to complex challenges.
• Bias for Action: A proactive and results-oriented mindset, with a strong drive to push projects forward even with incomplete information.
• Customer-Centricity: Commitment to understanding customer needs and incorporating feedback to drive product iteration and improvement.

Preferred Skills:

• Data Visualization: Experience designing effective data visualizations and dashboards, particularly within an analytics platform context.
• Design Systems: Experience contributing to or managing design systems, with an understanding of how to scale design patterns.
• User Research: Familiarity with various user research methodologies and the ability to translate research findings into actionable design insights.
• Agile Development Methodologies: Experience working effectively within agile development environments.
• Understanding of AI/ML Concepts: A foundational understanding of AI and machine learning principles to inform design decisions.

📝 Enhancement Note: The "Senior" designation, combined with the emphasis on leadership, strategy, and defining frameworks, implies a need for candidates who not only execute design but also influence product strategy and mentor others. The explicit mention of "shipping LLM-powered features" is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated End-to-End Design Process: Showcase projects that clearly illustrate your involvement from initial problem definition and user research through to final shipped product and iteration.
• AI/LLM Feature Case Studies: Include detailed case studies of AI-powered features or products you have designed, highlighting the problem solved, your design approach, key challenges, and the impact of the solution.
• B2B SaaS Experience: Present examples of enterprise SaaS products you have designed, emphasizing complexity, user workflows, and the specific needs of business users.
• Prototyping & Interaction Design Examples: Provide examples of interactive prototypes or detailed explorations of complex user interactions, demonstrating your ability to create engaging and intuitive experiences.
• Quantifiable Impact: Where possible, include metrics or evidence demonstrating the success and impact of your design work, such as user adoption, efficiency gains, or customer satisfaction improvements.

Process Documentation:

• Workflow Design & Optimization: Demonstrate how you've analyzed existing workflows and designed new solutions to improve efficiency, reduce friction, or enhance user outcomes, particularly in the context of AI-driven tasks.
• System Implementation & Scalability: Provide examples of how you've contributed to or designed for scalable systems, such as design systems or reusable AI interaction patterns, that ensure consistency and ease of implementation.
• Feedback Integration & Iteration: Showcase instances where you've actively gathered user feedback and iterated on designs to address issues or enhance functionality, illustrating a continuous improvement mindset.

📝 Enhancement Note: The portfolio is critical for this role. It must not only showcase high-quality UI/UX but also a strategic understanding of AI integration, B2B SaaS workflows, and the ability to design for scalability and impact. Case studies focusing on AI features are explicitly requested.

💵 Compensation & Benefits

Salary Range: Based on the provided information, the total target cash compensation for this role in San Francisco, CA, ranges from $154,000 to $231,000 per year. This range includes base salary, bonus, or commission.

Benefits:

• Comprehensive Health Coverage: 100% employer-paid premiums for employee Medical, Dental, and Vision insurance on select plans.
• Flexible Time Off: Generous flexible time off policy, along with paid holidays.
• Lifestyle Stipends:
  • Monthly wellness stipend.
  • Monthly commuter transit/parking stipend.
  • Quarterly learning and development stipend.
  • Annual home office equipment stipend.
• Family Support:
  • 12-20 weeks of Paid Parental Leave.
  • Carrot Fertility Benefits, including adoption and surrogacy support.
  • Back-up Child Care support.
• Mental Health & Wellness:
  • No-cost employee access to Modern Health coaching and therapy sessions.
  • High-quality physician office experience via One Medical membership (select U.S. locations only).
• Equity: Employee Stock Purchase Program (ESPP).
• Other: Eligible for equity and other forms of compensation.

Working Hours: While specific daily hours are not detailed, a standard full-time role typically entails approximately 40 hours per week. The hybrid work arrangement suggests a degree of flexibility in scheduling.

📝 Enhancement Note: The salary range provided is specific to San Francisco, CA. The company also offers detailed ranges for other locations (Colorado, New York City, California outside SF Bay Area, Washington state) which vary. The benefits package is extensive and includes significant stipends and support for wellness, family, and professional development, which are attractive to senior-level professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Analytics / Software as a Service (SaaS)
Company Size: Amplitude is a significant player in the digital analytics space, serving over 4,300 customers, including major brands. While an exact employee count isn't provided, its customer base and market position suggest a company of substantial size, likely in the hundreds or thousands of employees.
Founded: Amplitude was founded in 2012, indicating a company with established product-market fit and a history of scaling, now focusing on AI innovation.

Team Structure:

• The role reports into Product Design leadership, with specific mention of Tyler (Director, Product Design), Will (Principal Product Designer), and Nicola (Lead Product Designer) as direct or close collaborators.
• Close collaboration is expected with Product Management (Spencer, Senior Product Manager) and Engineering (Paul, Staff Software Engineer).
• The broader design organization consists of 12+ multi-talented designers, fostering a collaborative and knowledge-sharing environment.
• Cross-functional collaboration is a core tenet, with extensive interaction expected across Product, Engineering, and Design teams.

Methodology:

• Customer-Centric Approach: Emphasizes understanding customer behavior and needs through data and direct feedback to guide product development.
• Iterative Development: A "think big, build small, and ship frequently" philosophy to enable rapid learning and adaptation.
• Data-Driven Decision Making: Leverages Amplitude's own analytics platform to inform product strategy and design choices.
• Growth Mindset: Fosters continuous improvement, learning from challenges, and adapting to technological advancements, particularly in AI.
• Emphasis on Design Quality: A commitment to creating "consumer-grade experiences" even within an enterprise context, aiming for high craft and user satisfaction.

Company Website: https://amplitude.com/

📝 Enhancement Note: Amplitude positions itself as a leader in digital analytics, now heavily investing in AI. The company culture is described as humble, ownership-driven, and growth-oriented, with a strong commitment to Diversity, Equity, and Inclusion (DEI). The mention of specific team members provides valuable insight into the immediate working group and reporting structure.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer, indicating a level of seniority beyond a mid-level designer. It requires significant autonomy, strategic input, and the ability to lead complex projects independently. The focus on AI innovation suggests this is a high-impact, forward-looking role within the product organization.
Reporting Structure: The Senior Product Designer, AI will report into Product Design leadership, likely a Director or VP of Design. They will work closely with a Principal and Lead Product Designer, as well as Product Managers and Software Engineers. This structure allows for both mentorship from senior design leaders and direct collaboration with product and engineering teams.
Operations Impact: The Senior Product Designer, AI will have a direct and substantial impact on Amplitude's product strategy and market positioning, particularly in the rapidly evolving AI landscape. By designing innovative AI features, they will influence customer adoption, product differentiation, and ultimately, revenue growth by enhancing the value proposition of Amplitude's digital analytics platform.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in designing for AI, LLMs, and future paradigms of human-computer interaction, becoming a thought leader in this domain.
• Product Strategy Influence: Contribute significantly to the strategic roadmap for AI integration across Amplitude's product suite, shaping future product direction.
• Leadership Development: Potential to mentor junior designers, lead design initiatives for larger product areas, or transition into management roles within the design organization as the AI product portfolio expands.
• Cross-functional Leadership: Develop strong collaborative relationships and influence across Product Management and Engineering, becoming a key voice in product development.
• Industry Recognition: Contribute to industry-leading AI product design, potentially leading to speaking opportunities or thought leadership within the design and AI communities.

📝 Enhancement Note: The role is designed for an individual who can operate with a high degree of autonomy and strategic influence. Growth is framed around deepening AI design expertise, influencing product strategy, and potential leadership opportunities, aligning with the senior level of the position.

🌐 Work Environment

Office Type: The job is listed as Hybrid, indicating a blend of in-office and remote work. This suggests a collaborative office environment designed to foster team interaction and innovation, balanced with the flexibility of remote work.
Office Location(s): The primary listed location is San Francisco, CA. The company also has offices in other locations, as indicated by the varied salary ranges provided for different regions.

Workspace Context:

• Collaborative Hub: The office serves as a space for team meetings, brainstorming sessions, design critiques, and building strong working relationships with colleagues across Product, Engineering, and Design.
• Tooling & Technology: Access to Amplitude's advanced digital analytics platform, as well as modern design and AI prototyping tools (Cursor, V0, Bolt), will be standard.
• Cross-Functional Interaction: The hybrid model likely facilitates structured in-office days for focused collaboration with cross-functional teams, while remote days allow for deep work and focused design tasks.

Work Schedule: A standard full-time work schedule is expected, likely around 40 hours per week. The hybrid arrangement offers flexibility in how and where work is performed, while still requiring consistent engagement and contribution.

📝 Enhancement Note: The hybrid nature of the role implies a need for strong self-management and communication skills. The office environment is likely set up to support collaborative design processes and cross-functional synergy, essential for rapid iteration in AI product development.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your application and resume, focusing on alignment with required skills and experience, particularly in AI and B2B SaaS design.
• Portfolio Review & Initial Call: Candidates will be asked to present their portfolio, focusing on relevant AI and enterprise SaaS projects. This stage assesses design craft, problem-solving abilities, and communication skills. Expect questions about your process, decision-making, and impact.
• Design Challenge/Case Study: A practical exercise, potentially involving a design problem related to AI or enterprise SaaS, to evaluate your approach to ambiguous problems, your design methodology, and your ability to articulate solutions.
• Cross-Functional Interviews: Interviews with Product Managers and Engineers to assess collaboration style, technical understanding, and ability to work effectively within a product team.
• Leadership Interview: A final interview with senior design leadership (e.g., Director of Product Design) to discuss strategic thinking, cultural fit, and long-term vision for AI design at Amplitude.

Portfolio Review Tips:

• Curate for AI & B2B: Prioritize projects showcasing your experience with AI products, LLM features, and complex B2B enterprise SaaS applications.
• Showcase the Process: For each project, clearly articulate the problem, your role, your design process, the challenges you faced, your solutions, and the outcome (quantified if possible).
• Highlight AI Innovation: Specifically detail how you approached designing for AI, including user considerations, interaction patterns, and the value proposition of AI features.
• Demonstrate Rapid Iteration: Include examples of how you used prototyping and customer feedback to iterate and improve designs.
• Be Prepared to Discuss: Be ready to answer in-depth questions about your design decisions, trade-offs made, and the impact of your work.

Challenge Preparation:

• Understand Amplitude's Context: Research Amplitude's product, target audience, and current AI initiatives.
• Practice Problem Decomposition: Be ready to break down a complex problem into smaller, manageable parts.
• Articulate Trade-offs: Demonstrate an understanding of design trade-offs and how to prioritize solutions based on business goals and user needs.
• Think About Scalability: Consider how your proposed solutions could scale across the Amplitude platform.
• Focus on AI Integration: Frame your solutions within the context of AI capabilities and user interaction with AI.

📝 Enhancement Note: The interview process is multi-stage and rigorous, focusing heavily on portfolio demonstration, practical problem-solving, and cross-functional collaboration. Candidates should prepare to articulate their AI design expertise and their ability to navigate complex enterprise environments.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe XD (standard industry tools), with a specific emphasis on modern AI prototyping tools such as Cursor, V0, and Bolt.
• Collaboration & Communication: Slack, Jira, Confluence (standard for agile teams).
• Design Systems: Familiarity with contributing to or utilizing established design systems.

Analytics & Reporting:

• Amplitude Platform: Proficiency in using Amplitude's own digital analytics platform is highly advantageous for understanding user behavior and informing design decisions.
• Data Visualization Tools: Experience with tools for creating and interpreting data visualizations to inform design strategy.

CRM & Automation:

• While not core to the designer role, an understanding of how design impacts user journeys within CRM and automation workflows would be beneficial, especially in a B2B SaaS context.

📝 Enhancement Note: The explicit mention of AI prototyping tools like Cursor, V0, and Bolt is a key differentiator for this role, indicating a forward-thinking approach to design and development within Amplitude. Proficiency with Amplitude's own product is also a strong plus.

👥 Team Culture & Values

Operations Values:

• Humility: Approach challenges and contributions with a sense of self-awareness and openness to learning from others.
• Ownership: Take responsibility for contributions, driving tasks to completion and owning the outcomes of design decisions.
• Growth Mindset: Embrace continuous learning, actively seeking to improve personal skills, team dynamics, and product value.
• Customer Focus: Prioritize understanding and serving customer needs, using data and feedback to guide product development.
• Inclusion & Empathy: Foster an environment of psychological safety, empathy, and human connection where all team members can thrive.

Collaboration Style:

• Cross-Functional Synergy: Strong emphasis on working collaboratively with Product Management and Engineering to co-create solutions and ensure successful product delivery.
• Design Critiques & Knowledge Sharing: Active participation in design reviews and knowledge-sharing sessions to collectively elevate design quality and practices.
• Iterative Dialogue: A culture that encourages open feedback and continuous dialogue to refine designs and product strategies.

📝 Enhancement Note: The company culture emphasizes collaborative innovation, continuous improvement, and a strong focus on DEI. The values align well with a senior role that requires influencing others and contributing to a positive team dynamic.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Novelty: Creating intuitive user experiences for cutting-edge AI capabilities (Copilots, Agents) where established interaction patterns may not yet exist.
• Bridging Enterprise & Consumer Design: Balancing the sophisticated needs of enterprise users with the expectation of consumer-grade usability and aesthetics.
• Navigating Ambiguity: Tackling complex, ill-defined problems at the forefront of AI technology and product development.
• Rapid Iteration Cycles: Adapting designs quickly based on fast-paced development and frequent customer feedback in an AI context.
• Scaling AI Experiences: Developing robust design frameworks and patterns that can be consistently applied across a growing AI product portfolio.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in prompt engineering, AI interaction design, and the ethical considerations of AI in product design.
• Industry Trends: Stay abreast of the latest advancements in AI, LLMs, and their application in enterprise software.
• Cross-Disciplinary Learning: Gain deeper insights into product management and software engineering processes, particularly as they relate to AI development.
• Mentorship: Opportunities to mentor junior designers and contribute to the growth of Amplitude's design community.

📝 Enhancement Note: The challenges presented are inherent to working at the bleeding edge of AI product development. The growth opportunities are substantial for individuals looking to specialize and lead in this emerging field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design of an AI-powered feature from concept to ship. What were the key challenges and how did you overcome them?" (Focus on process, decision-making, and impact.)
• "How would you approach designing a Copilot experience for a complex enterprise analytics platform like Amplitude? What are the primary considerations?" (Assess strategic thinking, user empathy, and understanding of AI capabilities.)
• "Given an ambiguous problem space related to AI adoption in enterprise software, how would you begin to define user needs and potential solutions?" (Evaluate problem decomposition, research approach, and ability to bring clarity.)

Company & Culture Questions:

• "What interests you about Amplitude, and specifically our AI product initiatives?" (Demonstrate research and genuine interest.)
• "How do you contribute to a positive and inclusive design culture?" (Assess alignment with Amplitude's values.)
• "Describe your experience working in a hybrid or remote environment and how you ensure effective collaboration." (Evaluate adaptability and communication skills.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role, the user, your process (research, ideation, design, testing), the solution, and the impact.
• Highlight AI & Enterprise Specifics: Emphasize the unique challenges and solutions related to AI integration and B2B SaaS design. Use visual aids effectively.
• Quantify Impact: Whenever possible, present metrics or data that demonstrate the success of your designs (e.g., increased engagement, improved task completion rates, user satisfaction scores).
• Be Ready for Deep Dives: Prepare to answer detailed questions about your design decisions, trade-offs, and why you chose specific approaches.

📝 Enhancement Note: Interview preparation should focus on demonstrating expertise in AI product design, strategic thinking, and the ability to navigate complex enterprise environments. The portfolio is a crucial element, so practicing its presentation and being ready for deep dives is essential.

📌 Application Steps

To apply for this Senior Product Designer, AI position:

• Submit your application through the Amplitude careers portal via the provided Greenhouse link.
• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience in AI product design and B2B enterprise SaaS. Ensure each case study clearly outlines the problem, your process, your contributions, and the outcomes.
• Tailor Your Resume: Highlight keywords and experiences directly relevant to AI design, product design leadership, B2B SaaS, and rapid prototyping. Quantify your achievements where possible.
• Prepare Your Narrative: Practice articulating your design process, your rationale behind key decisions, and the impact of your work, especially for AI-related projects. Be ready to discuss your approach to ambiguity and collaboration.
• Research Amplitude: Familiarize yourself with Amplitude's product, its mission, its customer base, and its current strategic focus on AI. Understand their design philosophy and company values.

⚠️ 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.

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