Senior Product Designer, AI Builders

📍 Job Overview

Job Title: Senior Product Designer, AI Builders

Company: Cresta

Location: United States (Remote)

Job Type: Full-Time

Category: Product Design / AI / Customer Experience Operations

Date Posted: 2026-09-29

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Design intuitive and self-serve builder experiences for AI agents and workflows, catering to both technical and non-technical users.

• Translate complex AI capabilities and business logic into user-friendly tools that enable customers to configure, test, and deploy AI solutions.

• Collaborate closely with Product Management, Engineering, and Research teams to define problem spaces, user needs, and iterative design milestones.

• Conduct user research, including interviews, workflow walkthroughs, and usability testing, to deeply understand customer challenges and opportunities for AI augmentation in CX operations.

• Advocate for design excellence and maintain a high bar for quality and craft across the AI Builders product suite.

📝 Enhancement Note: While the title is "Senior Product Designer," the responsibilities and qualifications strongly indicate a focus on designing user interfaces and experiences for AI-powered tools within a customer experience (CX) operations context. The emphasis on "AI Builders" and "workflow design" suggests a significant overlap with GTM and RevOps enablement through intuitive AI tool creation. The role requires a blend of traditional UX skills and an understanding of AI/LLM capabilities, positioning it at the intersection of product design and operations enablement.

📈 Primary Responsibilities

• Transform intricate AI concepts and business logic into intuitive, self-serve builder interfaces for both technical (developers) and non-technical (business operators) users.

• Partner with engineering and fellow designers to rapidly prototype and iterate on builder concepts, refining them into polished, production-ready user experiences.

• Collaborate with Product Managers and Tech Leads to thoroughly define problem spaces, establish north-star user experiences, and map out iterative development milestones.

• Lead discovery and evaluative user research initiatives, including in-depth interviews, detailed workflow walkthroughs, usability testing sessions, and competitive analyses, to gain a comprehensive understanding of current customer workflows and identify key areas where AI can provide significant value.

• Foster strong cross-functional collaboration with Product Management, Machine Learning Engineering (MLE), Field Development/Product Management (FDE/FDPM), Customer Success, and Marketing teams to ensure alignment and effective product development.

• Champion design quality and craftsmanship within the team, actively raising the quality bar and cultivating a shared understanding of what constitutes exceptional design for AI builder tools.

• Exercise sound judgment regarding release timelines, prioritizing "good" over "perfect" to ensure timely delivery of valuable features while maintaining high standards.

📝 Enhancement Note: The responsibilities highlight a hands-on design role with significant user research and cross-functional collaboration. The emphasis on turning "complexity into intuitive, self-serve" tools directly relates to enabling non-technical users in CX operations to leverage AI, a key GTM and RevOps enablement function. This suggests a need for designers who can bridge the gap between advanced AI technology and practical business application.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction (HCI), Interaction Design, or equivalent industry experience of 5+ years.

Experience: 5+ years of experience in product design, with a demonstrated track record in designing AI-driven workflows, no-code/low-code/agentic builder platforms, or complex B2B enterprise applications.

Required Skills:

• AI-Native Working Style: Demonstrated comfort and proficiency in utilizing AI-native design tools such as Claude Code, Cursor, or similar platforms to accelerate prototyping, enhance design depth, and push beyond the limitations of traditional design tools like Figma.

• Product Thinking & UX Disciplines: Strong product sense combined with a comprehensive understanding and application of core UX disciplines, including interaction design, prototyping, visual design, and user research methodologies.

• Complex Problem Solving: Proven ability to translate complex AI capabilities and business logic into simple, elegant, and intuitive design solutions.

• End-to-End Flow Design: Portfolio showcasing a strong focus on designing comprehensive end-to-end user flows rather than isolated screens, demonstrating an understanding of the complete user journey.

• Cross-Functional Collaboration: Excellent communication and collaboration skills, with the ability to work effectively with Product Managers, Engineers, Researchers, and Customer-facing teams.

• User Research Proficiency: Experience conducting various forms of user research, including interviews, workflow analysis, and usability testing, to gather actionable insights.

• Adaptability & Learning Agility: A curious, adaptable, and quick learner who thrives in a dynamic, team-oriented environment.

Preferred Skills:

• Experience designing for contact center operations or customer experience (CX) platforms.

• Familiarity with LLM capabilities and their application in user-facing tools.

• Experience with agile development methodologies and working within cross-functional product teams.

• A strong eye for visual design and brand consistency.

📝 Enhancement Note: The "AI-native working style" is a critical differentiator, highlighting the need for designers who are not only skilled in traditional tools but also embrace and leverage AI in their own design process. This is crucial for designing AI builder tools, as it implies an understanding of how AI can augment the design and development workflow itself. The emphasis on "complex B2B enterprise applications" and "AI-driven workflows" signals the need for experience in designing for operational efficiency and intricate business processes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Complex Problem-Solving Showcase: Your portfolio must vividly demonstrate your ability to tackle complex challenges by presenting well-documented case studies of end-to-end design solutions, emphasizing the process from problem identification to final execution.

• AI/Workflow Design Examples: Include specific examples of designing interfaces for AI-driven workflows, no-code/low-code platforms, or agentic builder tools, highlighting how you simplified complex functionalities.

• User Research Integration: Showcase how user research informed your design decisions, including examples of research methodologies used and how insights were translated into design improvements.

• Tool Proficiency & Innovation: Demonstrate your experience with a range of design tools, including traditional tools like Figma and, critically, your proficiency with AI-native tools (e.g., Claude Code, Cursor) to illustrate an AI-augmented design process.

• Iterative Design Process: Present examples of how you iterated on designs based on feedback and testing, showcasing your ability to refine solutions over time.

Process Documentation:

• Workflow Design & Optimization: Document the process by which you map out existing user workflows, identify pain points, and design optimized workflows using AI-powered tools.

• User-Centered Design Methodology: Clearly articulate your user-centered design process, detailing how you conduct discovery research, define user needs, and translate them into functional and intuitive product designs.

• Cross-Functional Collaboration Framework: Illustrate how you collaborate with engineering, product management, and other stakeholders throughout the design lifecycle, including feedback loops and decision-making processes.

• Impact Measurement & Iteration: Explain how you measure the success of your designs post-launch, including the use of metrics and how this data informs future iterations and improvements.

📝 Enhancement Note: For a role focused on "AI Builders," a portfolio needs to go beyond static screens. It should showcase the candidate's ability to design interactive, dynamic, and intelligent systems. Emphasizing end-to-end flows and demonstrating the use of AI in the design process itself (AI-native working style) are critical differentiators. The ability to document and articulate the design process for complex, AI-driven workflows is paramount.

💵 Compensation & Benefits

Salary Range: $150,000 - $205,000 USD per year, plus equity.

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans designed to suit individual and family needs.

• Flexible Time Off: Generous Paid Time Off (PTO) policy allowing employees to take time when needed.

• Family Support: Paid parental leave for all new parents.

• Future Planning: Retirement savings plan to support long-term financial goals.

• Remote Work Support: A dedicated budget for setting up a productive home office environment.

• Well-being & Connectivity: Monthly stipends for wellness activities and communication tools to promote balance and connection.

• On-Site Amenities: For employees working from the office, includes an in-office meal program and commuter benefits.

Working Hours: Full-time role, with an expected 40 hours per week. The remote nature of the role offers flexibility in scheduling, though collaboration with teams across various time zones (potentially including America/Chicago) will be expected.

📝 Enhancement Note: The provided salary range of $150,000 - $205,000 USD for a Senior Product Designer in the US (Remote) is competitive and aligns with industry benchmarks for experienced professionals in tech, especially those with AI and B2B enterprise design expertise. The equity component is a significant part of the total compensation package for senior roles at growth-stage tech companies like Cresta. The benefits package is comprehensive and supports a remote workforce with wellness and setup budgets.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Customer Experience (CX), SaaS. Cresta operates at the forefront of AI's application in business, specifically transforming customer interactions through its unified AI platform. This industry context means the company is likely fast-paced, innovative, and data-driven, with a strong emphasis on leveraging cutting-edge technology to solve real-world business problems.

Company Size: Cresta is a growth-stage company that has raised significant funding ($270M+), indicating a size that likely ranges from 200-500 employees. This size typically offers a balance between the agility of a startup and the structure of a more established organization, providing opportunities for impact while benefiting from established processes and resources.

Founded: Cresta was founded by leaders from Stanford AI Lab and Google's Contact Center AI and Vertex AI platforms. This background suggests a deep technical foundation and a strong focus on AI innovation from its inception, influencing its culture towards research-driven development and solving complex AI challenges.

Team Structure:

• AI Builders Product Team: This role sits within the AI Builders product team, likely comprised of Product Managers, Machine Learning Engineers (MLEs), Field Development/Product Managers (FDE/FDPMs), and fellow Product Designers.

• Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Head of Product Design, with close collaboration across engineering and product management leadership.

• Cross-functional Collaboration: The role emphasizes extensive collaboration with various departments including Product Management, MLE, FDE/FDPM, Customer Success, and Marketing, reflecting a highly integrated GTM and product development approach.

Methodology:

• AI-First Product Development: Cresta's core business is AI, so product development will be heavily influenced by AI capabilities, research advancements, and the practical application of LLMs.

• User-Centric Design for Complex Systems: The team likely employs a user-centered design approach, focusing on understanding the intricate needs of CX operations professionals and translating complex AI functionalities into intuitive tools.

• Agile & Iterative Development: Given the fast-paced nature of AI and SaaS, the team likely follows agile methodologies, emphasizing rapid iteration, continuous feedback, and a "ship it" mentality when appropriate.

Company Website: https://www.cresta.com/

📝 Enhancement Note: Cresta's origin and leadership (Stanford AI Lab, Google AI) suggest a culture that values deep technical expertise, innovation, and a data-driven approach to product development. The "AI Builders" focus implies a B2B SaaS model where enabling customers to leverage AI is paramount, which has direct implications for how GTM and RevOps functions might interact with or benefit from these tools.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Senior Product Designer," indicating a mid-to-senior level position. It requires a strong foundation in product design principles, significant experience in complex B2B/AI applications, and the ability to operate with a high degree of autonomy. The responsibilities suggest ownership over significant product areas and the ability to mentor or guide junior designers.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager or Head of Design, working closely with Product Managers and Engineering Leads for the AI Builders product. This structure allows for strategic alignment with product vision while maintaining a focus on design execution and craft.

Operations Impact: While not a direct operations role, this position has a significant indirect impact on operations (specifically CX and potentially GTM/RevOps enablement). By designing intuitive "AI Builders," the role empowers Cresta's customers to more effectively leverage AI for automation, agent augmentation, and operational efficiency. This directly contributes to revenue generation and cost savings for their clients, aligning with the core goals of RevOps and GTM strategies. The success of these builders directly influences customer adoption and the perceived value of Cresta's platform.

Growth Opportunities:

• Design Leadership: Progression to a Lead Product Designer role, overseeing specific product areas or mentoring a team of designers.

• Specialization in AI/ML UX: Deepening expertise in designing for AI-powered products, becoming a go-to expert in this specialized and high-demand field.

• Product Strategy Contribution: Increased involvement in product strategy, influencing the roadmap and vision for the AI Builders suite and potentially other AI-driven products at Cresta.

• Cross-Product Design: Opportunity to contribute to the design of other AI products within Cresta's portfolio as the company grows and expands its offerings.

• Mentorship: Opportunities to mentor junior designers, share best practices, and contribute to the overall design culture and talent development within the company.

📝 Enhancement Note: The "AI Builders" aspect of this role positions it as a key enabler for Cresta's clients. The success of these tools directly impacts how efficiently and effectively customer-facing teams (sales, support, service) can operate. Therefore, a Senior Product Designer here is indirectly contributing to GTM and RevOps efficiency by making AI accessible and actionable for operational teams. Career growth would likely involve deeper specialization in AI UX or moving into design leadership.

🌐 Work Environment

Office Type: The role is advertised as "United States (Remote)," indicating a fully remote work environment. This offers flexibility and autonomy for employees to structure their workday from their home office. Cresta also mentions "in-office meal program and commuter benefits provided for onsite employees," suggesting they may have physical office spaces, but this specific role is remote.

Office Location(s): While the role is remote within the United States, Cresta may have physical offices in key tech hubs. Their compensation model is "location-based," implying they consider the cost of living and market rates for different regions within the US for remote employees.

Workspace Context:

• Home Office Setup: Employees are provided with a "Remote work setup budget" to create a productive and comfortable home office environment, emphasizing the company's commitment to supporting remote workers.

• Digital Collaboration Tools: Expect heavy reliance on digital collaboration tools for communication, design reviews, and project management, including platforms like Slack, Zoom, Figma, and potentially AI-native design tools.

• Team Interaction: While remote, the company fosters a collaborative environment through regular virtual meetings, design critiques, and team-building activities. The monthly "communication stipend" also supports staying connected.

Work Schedule: The role is full-time (40 hours/week) with a flexible remote arrangement. While daily hours can be flexible, candidates should be prepared to align with core team hours and potentially collaborate with colleagues across different US time zones (e.g., America/Chicago, Eastern, Pacific). This flexibility is beneficial for deep work sessions required for complex design tasks.

📝 Enhancement Note: The fully remote nature of this role within the US is a significant draw. The company's investment in remote setup budgets and stipends indicates a mature approach to distributed work. Candidates should be comfortable with asynchronous communication and proactive engagement to thrive in this environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and portfolios, focusing on experience with B2B enterprise applications, AI-driven design, and strong UX fundamentals.

• Portfolio Presentation & Design Challenge: Candidates will likely be asked to present their portfolio, discussing case studies that highlight their problem-solving process, design thinking, and experience with complex workflows. A design challenge, potentially involving AI-related concepts or workflow simplification, may be administered.

• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially other designers to assess collaboration skills, technical understanding, and cultural fit. Expect discussions around AI concepts, user research methodologies, and iterative design.

• Hiring Manager Interview: A final interview with the hiring manager to discuss role expectations, career growth, and overall team fit.

Portfolio Review Tips:

• Focus on Process, Not Just Pixels: Clearly articulate your design process for each case study, emphasizing how you identified problems, conducted research, iterated on solutions, and collaborated with stakeholders.

• Highlight AI & Complexity: Showcase specific examples of designing for AI-driven workflows, no-code/low-code builders, or complex B2B enterprise applications. Explain the unique challenges and how you addressed them.

• Demonstrate AI-Native Tools: If possible, include examples or discuss your experience using AI-native design tools (Claude Code, Cursor) to accelerate your work or prototype deeper. This is a key qualification.

• Showcase End-to-End Flows: Prioritize case studies that demonstrate your ability to design comprehensive user journeys and flows, rather than isolated UI screens.

• Quantify Impact: Wherever possible, include metrics or qualitative feedback that demonstrate the impact of your design solutions on users or business objectives.

• Tailor to Cresta: Research Cresta's product and target users. Frame your portfolio examples to show how your skills and experience align with Cresta's mission to empower customers with AI.

Challenge Preparation:

• Understand Cresta's Product: Familiarize yourself with Cresta's AI platform and the concept of "AI Builders." Think about how users would interact with tools to build and deploy AI.

• Practice Workflow Design: Be prepared to sketch out or discuss potential workflows for users building AI agents or automating tasks. Consider different user types (technical vs. non-technical).

• Anticipate AI/LLM Questions: Be ready to discuss your understanding of AI capabilities and how they can be translated into user-friendly interfaces.

• Articulate Design Trade-offs: Be prepared to discuss design decisions, trade-offs, and how you balance complexity with usability, especially in the context of AI.

📝 Enhancement Note: The emphasis on an "AI-native working style" and a portfolio showcasing "simple and elegant design solutions to complex problems, with a focus on end‑to‑end flows rather than isolated screens" are crucial indicators for candidate preparation. Candidates should be ready to present case studies that explicitly address these points and demonstrate their ability to design for complexity and leverage AI tools.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The standard for UI/UX design, prototyping, and collaboration. Expect extensive use for wireframing, mockups, and interactive prototypes.

• AI-Native Design Tools (e.g., Claude Code, Cursor, MCP): Proficiency and comfort using these tools are explicitly required. This indicates a workflow where AI assists in code generation, prototyping, and design iteration, moving beyond traditional static design tools.

• Prototyping Tools: Beyond Figma's capabilities, other advanced prototyping tools might be used for more complex interactions or specific testing needs.

Analytics & Reporting:

• User Research Platforms: Tools for conducting usability testing, gathering feedback, and analyzing user behavior (e.g., UserTesting.com, Maze).

• Analytics Platforms: While not directly designing analytics tools, understanding how user behavior is tracked and analyzed will be important for informing design decisions.

CRM & Automation:

• Collaboration & Communication Tools: Slack, Zoom, Google Workspace (Docs, Sheets, Slides) are essential for day-to-day communication and collaboration.

• Project Management Tools: Jira, Asana, or similar tools likely used for managing design tasks and project timelines within agile sprints.

📝 Enhancement Note: The explicit mention of "AI-native working style" and specific tools like "Claude Code, Cursor, MCP" is a significant indicator. Candidates must demonstrate not just familiarity but active usage of these AI tools in their design process. This suggests a forward-thinking design team that leverages AI to enhance productivity and design innovation.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering tangible business impact for Cresta's customers by enabling them to leverage AI effectively. Designs should directly contribute to customer success and revenue/efficiency gains.

• Customer-Centricity: Deep empathy for the customer experience, particularly for CX operations professionals, driving the creation of intuitive and valuable tools.

• Innovation & AI Leadership: A culture that embraces cutting-edge AI technology, encourages experimentation, and aims to push the boundaries of what's possible in conversational AI and AI-powered workflows.

• Craftsmanship & Quality: A commitment to high-quality design, attention to detail, and a desire to create elegant, user-friendly solutions even for complex technical challenges.

• Collaboration & Transparency: Open communication, willingness to share ideas, provide constructive feedback, and work collaboratively across functions to achieve shared goals.

Collaboration Style:

• Cross-Functional Partnership: The team operates with a high degree of cross-functional collaboration, working closely with Product Management, Engineering, Machine Learning, and Customer Success to ensure product-market fit and successful customer adoption.

• Iterative & Feedback-Oriented: A culture that values continuous feedback loops, iterative design processes, and learning from user interactions and market responses.

• Empowerment & Autonomy: As a senior role, there's an expectation of autonomy and proactive contribution, with team members empowered to take ownership of their areas and drive initiatives forward.

📝 Enhancement Note: The company's focus on "AI Builders" and empowering customers implies a culture that values enabling others. For this designer, it means understanding the operational goals of their customers and designing tools that directly facilitate those goals, fostering a sense of shared success.

⚡ Challenges & Growth Opportunities

Challenges:

• Simplifying AI Complexity: The primary challenge will be translating the intricate and rapidly evolving capabilities of LLMs and AI into intuitive, self-serve builder experiences that are accessible to both technical and non-technical users.

• Balancing Agentic vs. Deterministic Workflows: Designing for a spectrum of AI interactions, from highly automated agentic workflows to more controlled deterministic processes, requires nuanced design solutions.

• Keeping Pace with AI Advancements: The AI landscape is constantly changing. Designers must remain agile and continuously learn to incorporate new AI capabilities into their designs effectively.

• Cross-Functional Alignment: Ensuring alignment across Product, Engineering, and Research on the vision and execution of AI Builder features, especially when dealing with novel AI functionalities.

Learning & Development Opportunities:

• Deep AI/ML UX Specialization: Gaining unparalleled expertise in designing for AI-powered products, a highly sought-after skill set in the current tech landscape.

• Exposure to Cutting-Edge AI: Working directly with advanced LLM technologies and contributing to their practical application in business workflows.

• Product Strategy Influence: Opportunities to contribute to the strategic direction of Cresta's AI product suite and influence the roadmap for AI builder tools.

• Mentorship & Leadership: Potential to mentor junior designers and grow into design leadership roles within a rapidly scaling company.

• Industry Conferences & Training: Access to industry events, workshops, and continuous learning resources to stay ahead of AI and UX trends.

📝 Enhancement Note: The challenges inherent in this role are directly tied to the frontier of AI application in business. Success requires not just design skill but also a strong capacity for learning and adaptation in a fast-moving field. The growth opportunities are significant for those looking to specialize in AI UX and contribute to shaping the future of AI-driven business tools.

💡 Interview Preparation

Strategy Questions:

• Designing for AI Builders: "Describe your process for designing a no-code/low-code builder tool. How would you approach making complex AI configurations intuitive for non-technical users?" (Prepare by outlining a hypothetical design process, focusing on user segmentation, progressive disclosure, and clear feedback mechanisms.)

• AI-Native Tooling: "How have you leveraged AI tools (like Claude Code, Cursor) in your design workflow? Can you give an example of how it accelerated your process or led to a better outcome?" (Be ready with specific examples and quantify the benefits if possible.)

• Balancing User Needs & Technical Constraints: "Cresta's AI Builders need to handle both complex AI logic and user-friendly interfaces. How do you navigate the trade-offs between offering powerful functionality and maintaining simplicity?" (Discuss your approach to research, prototyping, and user testing to find this balance.)

Company & Culture Questions:

• Cresta's Mission: "What excites you about Cresta's mission to unlock the potential of customer experience with AI?" (Research Cresta's product and value proposition. Connect your passion for design and AI to their goals.)

• AI in CX: "What do you see as the biggest opportunities and challenges for AI in customer experience operations today?" (Showcase your understanding of the industry and the strategic role of AI.)

• Team Collaboration: "Describe a time you collaborated with engineers and product managers on a complex feature. How did you ensure alignment and drive the design forward?" (Prepare a STAR method example focusing on cross-functional communication and problem-solving.)

Portfolio Presentation Strategy:

• Tell a Story: For each case study, present it as a narrative: the problem, your role, the process, the solution, and the impact.

• Highlight AI/Workflow Focus: Dedicate specific slides or segments to showcase your experience with AI-driven workflows or builder interfaces. Clearly explain the complexity and how you simplified it.

• Demonstrate AI Tool Usage: If applicable, show how AI tools were integrated into your workflow within a case study.

• Focus on End-to-End Flows: Use diagrams or interactive prototypes to illustrate the complete user journey you designed.

• Quantify Impact: Use data, user feedback, or business metrics to demonstrate the success of your designs.

• Be Prepared for Deep Dives: Expect questions about your specific design decisions, research findings, and how you collaborated with technical teams.

📝 Enhancement Note: Candidates must explicitly address the "AI-native working style" and the design of "AI-driven workflows" or "builders" in their portfolio and interview responses. Demonstrating an understanding of LLM capabilities and how to translate them into user-friendly operational tools will be key to success.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the Cresta careers portal via the provided link.

• Portfolio Customization: Tailor your portfolio to prominently feature case studies demonstrating your experience with complex B2B enterprise applications, AI-driven workflows, and/or no-code/low-code builder tools. Specifically highlight any experience using AI-native design tools.

• Resume Optimization: Ensure your resume clearly outlines your 5+ years of relevant experience, focusing on keywords such as "Product Design," "AI," "HCI," "B2B," "Enterprise," "Workflow Design," "UX Research," and any AI tools you've utilized. Quantify achievements whenever possible.

• Interview Preparation: Practice articulating your design process, especially for complex problems. Prepare to discuss your experience with user research, cross-functional collaboration, and specifically how you approach designing intuitive interfaces for powerful AI capabilities. Rehearse your portfolio walkthrough, focusing on the narrative and impact.

• Company Research: Thoroughly research Cresta's AI platform, their "AI Builders" product, and their mission. Understand their target customers and the challenges they aim to solve. Familiarize yourself with their company culture and values to articulate your fit.

⚠️ 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.