Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Dialpad

Location: San Ramon, California, United States

Job Type: Full-Time

Category: Product Design / AI-Native Design

Date Posted: June 25, 2026

Experience Level: 10+ Years (Implied Staff Level)

Remote Status: On-site

🚀 Role Summary

• Lead the design of foundational AI-native capabilities and platform-wide initiatives within a cutting-edge business communications platform.

• Drive the adoption of AI as a design medium, shaping how AI is integrated into user experiences and daily workflows for both customers and internal teams.

• Define and evolve design systems, interaction models, and platform primitives that enable feature teams to build scalable and cohesive end-to-end experiences.

• Contribute directly to production code and build coded prototypes to validate designs and facilitate seamless handoffs to engineering.

📝 Enhancement Note: The "Staff" title, combined with the 8+ years of experience requirement and emphasis on leadership, platform-level work, and mentorship, strongly indicates a senior individual contributor role with significant influence and strategic impact. The role is deeply integrated with engineering, requiring hands-on coding and a systems-thinking approach to design.

📈 Primary Responsibilities

• Spearhead the design strategy and execution for core platform layers and AI-first capabilities, ensuring trust, transparency, and user control are paramount.

• Partner with Design, Product, and Engineering leadership to establish strategic direction for foundational platform work that underpins all feature teams.

• Develop and maintain robust design patterns, primitives, and interaction models, ensuring they are scalable and consistently applied across the Dialpad platform.

• Ship production code, contributing meaningfully to the systems and infrastructure that shape the user experience, alongside engineering partners.

• Create production-realistic coded prototypes using real data to serve as a primary tool for design validation and engineering collaboration.

• Design and build custom AI tooling, skills, agents, and micro-apps to enhance personal productivity and elevate the team's overall AI design practice.

• Evolve and strengthen Dialtone, Dialpad's design system, creating reusable patterns and components for other designers to leverage.

• Proactively identify cross-cutting problems and opportunities across the product that may not be immediately apparent to other design teams.

• Mentor and coach fellow designers on craft, AI fluency, communication, and best practices, fostering a culture of continuous improvement and high standards.

• Improve team processes for shipping, communication, and collaboration, adapting communication style and focus for different audiences (team, leadership, cross-functional stakeholders).

• Navigate ambiguous and complex projects autonomously, maintaining clear asynchronous updates for team members and management.

• Apply systems thinking to design cohesive end-to-end experiences and identify opportunities to reduce technical debt, enabling faster future development.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design and development, and mentorship. The emphasis on "shipping production code" and "building custom AI tooling" signifies a highly technical and pragmatic design role, deeply embedded with engineering and focused on tangible, implementable solutions rather than purely conceptual work.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, HCI, Computer Science, or a related field is typically expected for a Staff-level role, though equivalent practical experience is often prioritized.

Experience:

• Minimum of 8+ years of experience shipping high-quality product design work.

• Demonstrated track record of impact on platform-level or foundational design surfaces (e.g., design systems, infrastructure, AI capabilities, integrations, core patterns).

• Proven experience treating AI as a design medium, actively shaping how AI is integrated into daily workflows and products.

• Experience building custom AI tooling (skills, agents, micro-apps, CLI workflows) beyond basic prompting.

• Experience shipping code into production codebases and utilizing coded prototypes as a primary design and validation tool.

• Experience designing scalable patterns, components, or systems adopted by other designers and engineers.

• Demonstrated ability to drive work end-to-end autonomously, owning outcomes rather than just outputs.

• Exceptional attention to detail and pixel-level craft.

• Strong communication skills, adaptable to various audiences including team members, design leadership, PM, engineering, and executive stakeholders.

• Proven experience mentoring designers and elevating the work of those around them.

• Ability to navigate ambiguity and complex projects independently.

• Strong systems thinking capabilities for designing cohesive experiences and managing system debt. Required Skills:

• AI-Native Design Practice: Fluency in designing with AI as a core medium, not an add-on feature.

• Design Systems Development & Evolution: Experience building, evolving, and scaling design systems like Dialtone.

• Production Coding: Proficiency in shipping code to production environments.

• Coded Prototyping: Ability to create functional prototypes for validation and engineering handoff.

• Platform & Foundational Design: Expertise in designing core infrastructure, patterns, and primitives.

• Systems Thinking: Ability to design cohesive end-to-end experiences and manage system complexity.

• Mentorship & Leadership: Experience guiding and elevating other designers.

• Cross-functional Collaboration: Effective communication and partnership with Product, Engineering, and Leadership.

• Technical Fluency: Comfort working with code, terminals, and AI tools beyond basic prompting. Preferred Skills:

• AI-Native Product Shipping: Experience shipping AI-native products, agentic workflows, or conversational interfaces with informed opinions on best practices.

• Internal Tooling/Infrastructure Design: Experience building internal tools, prototyping infrastructure, or developer-facing design systems with high adoption.

• Personal Practice & Community Contribution: Maintaining a personal creative practice (side projects, open source, writing) and contributing to the broader design community.

• Industry Experience: Background in SaaS, communications, contact centers, or real-time collaboration platforms.

• Design System Scaling: Experience in evolving or scaling a design system, including tooling and adoption strategies.

📝 Enhancement Note: The "8+ years" requirement, coupled with the "Staff" title and the emphasis on foundational work, AI fluency, and mentorship, implies a need for deep expertise and a proven ability to influence technical and design direction. The requirement for "production code" and "custom AI tooling" elevates this beyond a traditional senior designer role into a more hybrid design/engineering function.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate impactful work consistently implemented at high-craft standards, showcasing end-to-end ownership and significant outcomes.

• Must include evidence of an AI-native design practice developed within the last 6 months, illustrating fluent use of AI tools in the design process.

• Showcase experience in platform-level or foundational design surfaces, such as design systems, infrastructure, AI capabilities, or core interaction models.

• Provide examples of designing and building custom AI tooling (skills, agents, micro-apps, CLI workflows).

• Feature case studies where coded prototypes were a primary tool for design thinking and validation.

• Include examples of designing scalable patterns, components, or systems that achieved broad adoption by other designers and engineers. Process Documentation:

• Case studies should detail the process from problem identification through to shipped product, highlighting the designer's role and impact.

• For AI-native work, explain the approach to designing for trust, transparency, and user control.

• Document the methodology for developing and evolving design systems, including adoption strategies and impact measurement.

• Showcase the process of building and integrating custom tooling to improve workflow efficiency.

• Illustrate the systems thinking approach applied to complex, cross-cutting problems.

📝 Enhancement Note: The portfolio requirements are exceptionally specific, emphasizing AI fluency, hands-on coding, and system-level design. Candidates must clearly articulate how they've used AI as a design medium and demonstrably contributed to production code and internal tooling. A portfolio that solely relies on traditional UI/UX case studies without these advanced elements will likely be insufficient.

💵 Compensation & Benefits

Salary Range: $174,000 - $220,500 USD Annually. This range is for exceptional talent based in California and represents the target base salary for new hires.

Benefits:

• Competitive Base Salary

• Comprehensive Benefits Package (details not specified)

• Equity (details not specified)

• Robust Training Program

• Inclusive Office Environment

• Opportunities for Growth and Development

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The provided salary range is for base salary only and does not include potential bonuses, equity, or other compensation components. The range is based on location (California) and role level. For specific details on benefits beyond the listed items, candidates are encouraged to inquire during the hiring process. The salary range is typical for a Staff Product Designer in a high-cost-of-living area like San Ramon, CA, reflecting the seniority and technical requirements of the role within the tech industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI-Native Business Communications / Software as a Service (SaaS). Dialpad operates at the intersection of real-time communication technology and advanced Artificial Intelligence, aiming to redefine business interactions through AI-driven insights and automation.

Company Size: Described as having over 70,000 customer companies, but employee count is not specified. The company is established, with nearly 15 years in the communications space and significant AI development since 2018.

Founded: Nearly 15 years ago (circa 2011), with AI development starting in 2018.

Team Structure:

• The Design team is positioned at the forefront of innovation, deeply integrated with AI development and product strategy.

• Designers are expected to be technically grounded builders who collaborate closely with Product and Engineering.

• The role involves partnering with "design, product, and engineering leadership" to set direction, indicating a collaborative, cross-functional leadership structure.

• Mentorship is a key aspect, suggesting a culture of knowledge sharing and skill development within the design team. Methodology:

• AI-First Design: AI is treated as a fundamental medium for design, not an add-on feature. This implies a proactive, integrated approach to AI in product development.

• Data-Driven Insights: Dialpad leverages AI to analyze billions of calls and meeting minutes, turning conversations into actionable insights. This data-centric approach likely informs design decisions.

• Systems Thinking: Emphasis on designing cohesive end-to-end experiences and managing system complexity and debt.

• Agile Development: Implied by the need to ship production code and iterate rapidly, especially with AI initiatives.

• Continuous Improvement: The company values continuous learning, raising the bar, and improving team processes.

Company Website: https://dialpad.com/

📝 Enhancement Note: Dialpad's culture is characterized by its embrace of AI, a fast-paced, ambitious environment, and a strong emphasis on individual initiative and continuous learning. The core traits (Scrappy, Curious, Optimistic, Persistent, Empathetic) suggest a dynamic and resilient team. The "Agentic AI" focus indicates a forward-thinking approach to product development where AI actively assists users.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This is a senior individual contributor role, typically positioned below Principal or Director levels but above Senior Designer. It signifies a high degree of autonomy, technical expertise, and the ability to influence product strategy and technical direction across multiple product areas or foundational systems.

Reporting Structure: The role will partner with "design, product, and engineering leadership" and mentor designers across the team. While the direct reporting line isn't specified, it's likely to be to a Design Manager, Director of Design, or Head of Product. The position requires strong collaboration and influence across functional teams.

Operations Impact: This role has a significant impact on Dialpad's product strategy and future development. By leading design on foundational layers and AI initiatives, the Staff Product Designer will shape the core experience of the platform, influence how AI is integrated across all products, and directly contribute to the company's competitive edge in AI-native communications. The ability to ship production code further amplifies this impact by directly contributing to the product's functionality and quality.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-native design, conversational interfaces, agentic AI, and complex platform architecture.

• Leadership & Mentorship: Grow into a more formal leadership role, guiding design teams, establishing design principles, and influencing product roadmaps.

• Cross-Functional Influence: Expand influence across product management and engineering, potentially leading larger strategic initiatives.

• Design System Mastery: Become a key steward or leader in evolving and scaling sophisticated design systems.

• Industry Recognition: Contribute to the broader design community through speaking, writing, or open-source contributions, enhancing personal and company brand.

📝 Enhancement Note: The Staff level implies a career path that focuses on deep expertise and broad influence rather than people management, though mentorship is a key component. Growth opportunities are geared towards becoming a recognized expert and strategic leader within the design and product organizations.

🌐 Work Environment

Office Type: The description mentions "designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection" and that the role is "On-site." This suggests a modern, collaborative office space designed to foster interaction.

Office Location(s): San Ramon, California. This location is in the San Francisco Bay Area, a hub for technology companies.

Workspace Context:

• Collaborative Environment: The office is designed to encourage collaboration, which is essential for a role that partners closely with product, engineering, and other designers.

• AI-Powered Tools: Employees are equipped with powerful AI tools to enhance their work, suggesting a tech-forward workspace with access to cutting-edge software and hardware.

• Cross-functional Interaction: The role requires constant interaction with product managers, engineers, and other designers, fostering a dynamic and communicative work environment.

• Focus on Craft: The emphasis on "pixel-level craft" and "high-craft standards" suggests a workspace that values meticulous design execution.

Work Schedule: Standard 40-hour work week, with the expectation of autonomy and ownership driving work end-to-end. While the core hours are defined, the nature of a Staff role might involve flexibility to meet project deadlines and collaborate across time zones if needed, though the primary expectation is on-site presence.

📝 Enhancement Note: The on-site requirement in San Ramon, coupled with the description of a collaborative and inclusive office environment, points to a traditional tech office setting. The integration of AI tools into the daily workflow is a significant aspect of the workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience, and cultural fit.

• Portfolio Review: A crucial step where candidates present their work, focusing on AI-native design, platform-level impact, coded prototypes, and shipped code. Expect in-depth discussion on process, outcomes, and AI fluency.

• Design Challenge/Exercise: Potentially a take-home assignment or a live design exercise focused on a complex problem, possibly involving AI elements or system design, requiring coded prototypes or system-level thinking.

• Cross-functional Interviews: Meetings with Product Managers, Engineering Leads, and potentially other Designers to assess collaboration skills, technical understanding, and strategic alignment.

• Leadership Interview: Discussion with Design or Product Leadership to evaluate strategic thinking, mentorship capabilities, and overall fit with the Staff level.

Portfolio Review Tips:

• AI-Native Focus: Clearly articulate your approach to designing with AI as a medium. Showcase specific AI tools you've built or used and their impact.

• Platform & Systems: Detail your experience with design systems, foundational components, and complex systems. Show how your work scales and impacts other teams.

• Coded Prototypes & Production Code: Be prepared to discuss your coded prototypes in detail—your design choices, the technology used, and how they facilitated engineering. If you shipped code, explain your contributions and their significance.

• Outcome-Oriented Storytelling: Frame your case studies around the problems you solved, the solutions you designed and implemented, and the measurable outcomes achieved. Quantify impact wherever possible.

• Mentorship Examples: Be ready to discuss instances where you've mentored others or positively influenced the design practice of your peers.

• Adaptability: Show examples of how you've adapted your communication and strategy for different audiences.

Challenge Preparation:

• Systems Thinking: Practice approaching complex problems from a systems perspective, considering interdependencies and scalability.

• AI Design Principles: Refresh your understanding of key principles for designing AI-powered experiences, focusing on transparency, control, and trust.

• Technical Proficiency: Be prepared to discuss technical aspects of design and prototyping, and potentially engage in discussions about code or system architecture.

• Process Articulation: Clearly articulate your design process, especially how you integrate AI tools and coding into your workflow.

📝 Enhancement Note: The application process is highly geared towards assessing advanced design skills, technical depth, and AI fluency. The portfolio is expected to be robust and demonstrate practical application of these skills, particularly in coding and AI tooling.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (implied for design and prototyping), and potentially other tools for advanced prototyping or system design.

• Coding & Development: Proficiency in languages and frameworks relevant to front-end development and potentially back-end integration for coded prototypes and shipped code. This could include JavaScript, React, HTML, CSS, and potentially Python for AI tooling.

• AI Development/Integration: Familiarity with AI frameworks, APIs, and tools for building custom AI skills, agents, and micro-apps. This might involve understanding concepts related to Large Language Models (LLMs) and conversational AI.

Analytics & Reporting:

• Dialpad likely uses internal analytics tools to track product usage and user behavior. The designer would be expected to analyze this data to inform design decisions and measure impact. CRM & Automation:

• While not directly a design tool, understanding how the product integrates with CRM systems and other business workflows is crucial for designing effective business communication solutions.

📝 Enhancement Note: The role explicitly requires proficiency beyond traditional design tools, extending to production coding and AI tooling development. Candidates should be prepared to discuss their experience with relevant programming languages, frameworks, and AI technologies.

👥 Team Culture & Values

Operations Values:

• Scrappy, Curious, Optimistic, Persistent, Empathetic: These are Dialpad's core traits. For a designer, this translates to:

  • Scrappy: Resourceful problem-solving, finding innovative solutions with available means.
  • Curious: Deep exploration of user needs, AI capabilities, and emerging technologies.
  • Optimistic: A positive outlook on challenges and the future of AI in communication.
  • Persistent: Driving complex projects to completion and iterating until quality is achieved.
  • Empathetic: Focusing on user needs, team collaboration, and creating inclusive experiences.

• AI as a Medium: A fundamental belief that AI should be integrated organically into the design process and product.

• High Craft Standards: A commitment to excellence in design execution, both visually and functionally.

• Continuous Learning: An emphasis on staying current with AI advancements and design best practices.

• Impact-Driven: Focus on delivering tangible outcomes and measurable results.

Collaboration Style:

• Cross-functional Partnership: Deep collaboration with Product Management and Engineering is essential, treating them as equal partners in the product development lifecycle.

• Mentorship & Peer Support: A culture of actively helping and developing colleagues, sharing knowledge, and providing constructive feedback.

• Technical Integration: Collaboration that extends to shipping code and building shared tooling, blurring the lines between design and engineering.

• Open Communication: Clear, adaptable communication suitable for diverse audiences, including asynchronous updates for complex projects.

📝 Enhancement Note: The team culture values a blend of technical prowess, creative problem-solving, and strong interpersonal skills. The emphasis on Dialpad's core traits and AI fluency suggests a high-performing, forward-thinking environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent unpredictability of AI and designing for user trust, transparency, and control in complex, real-time scenarios.

• Balancing Innovation with Scalability: Developing cutting-edge AI features while ensuring they integrate seamlessly with existing platform architecture and scale effectively.

• Bridging Design and Development: Effectively translating complex AI concepts and coded prototypes into production-ready features, requiring close partnership with engineering.

• Elevating Team AI Fluency: Proactively teaching and demonstrating advanced AI design practices to peers, shifting the team's collective capabilities without formal authority.

• Defining Foundational Patterns: Establishing robust, reusable design patterns and infrastructure that can support future product iterations and new AI capabilities.

Learning & Development Opportunities:

• Deep Dive into Agentic AI: Gain hands-on experience in designing and building agentic AI workflows that automate tasks and resolve issues.

• Platform Architecture Mastery: Develop a comprehensive understanding of Dialpad's core platform, enabling more impactful foundational design work.

• Advanced Prototyping & Coding: Hone skills in creating sophisticated coded prototypes and contributing to production codebases.

• Leadership in Design Systems: Take a leading role in evolving and scaling a critical design system used across a large product suite.

• Industry Influence: Opportunities to represent Dialpad's AI design innovation through external speaking, writing, or open-source contributions.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role and Dialpad's focus on AI. Growth opportunities are deeply integrated into addressing these challenges, fostering advancement through practical application and leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing AI-first capabilities. How do you ensure trust, transparency, and user control are embedded from the start?" (Focus on AI design principles, user research methods for AI, and specific UI/UX patterns).

• "Walk us through a time you led design on a foundational layer or platform initiative. What was the challenge, your approach, the outcome, and how did you ensure adoption by other teams?" (Highlight platform design experience, systems thinking, and cross-functional influence).

• "How do you use coded prototypes to drive your design decisions and collaborate with engineers? Share an example where a coded prototype fundamentally changed your design direction." (Emphasize hands-on coding skills, validation process, and engineering collaboration).

• "Tell us about a custom AI tool or agent you've built. What problem did it solve, what was your process, and what was the impact?" (Showcase AI tooling development and problem-solving skills). Company & Culture Questions:

• "Dialpad's core traits are Scrappy, Curious, Optimistic, Persistent, and Empathetic. How do you embody these traits in your design work?" (Prepare specific examples for each trait).

• "How do you approach mentoring other designers, particularly in a new or complex area like AI-native design?" (Demonstrate leadership, communication, and knowledge-sharing skills).

• "What are your thoughts on the future of AI in business communications, and how do you see Dialpad leading that charge?" (Showcase industry awareness and alignment with Dialpad's vision). Portfolio Presentation Strategy:

• AI Integration: Clearly articulate how AI was a core part of your design process and the product itself. Quantify the benefits of AI integration.

• Technical Depth: Be prepared to discuss the technical aspects of your work, including your coding contributions and the rationale behind your prototyping choices.

• Systemic Impact: For platform or design system work, emphasize how your contributions enabled other teams and scaled across the product.

• Outcome-Driven Narrative: Structure each case study around the problem, your solution, your specific contributions (especially AI and code), and the measurable results.

• Conciseness & Clarity: Present your work clearly and concisely, adapting your narrative for different interviewers (designers, PMs, engineers).

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical application of AI design, coding proficiency, and system-level thinking. Candidates should be ready to deep-dive into their portfolio with specific examples of their contributions to production code and AI tooling.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided application link on Greenhouse.

• Curate Your Portfolio: Develop a portfolio that distinctly highlights your AI-native design practice (within the last 6 months), platform-level contributions, and experience with coded prototypes and production code. Ensure each case study details your specific role, process, and quantifiable impact.

• Tailor Your Resume: Optimize your resume to emphasize your 8+ years of experience, AI fluency, system design capabilities, coding experience, and mentorship achievements. Use keywords from the job description.

• Prepare for a Deep Dive: Practice articulating your design process, especially how you integrate AI tools and coding. Be ready to present your portfolio with confidence, answering detailed questions about your technical contributions and strategic thinking.

• Research Dialpad: Understand Dialpad's AI-native vision, their core products, and their company culture. Prepare to discuss how your skills and experience align with their mission and 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.