Senior Product Designer, Agentic AI Applications

📍 Job Overview

Job Title: Senior Product Designer, Agentic AI Applications

Company: Zeta Global

Location: Remote - United States

Job Type: Full-Time

Category: Product Design / AI / SaaS Platforms

Date Posted: 2026-05-15

Experience Level: 10+ Years

Remote Status: Fully Remote

🚀 Role Summary

• This role is a foundational pillar for the next-generation Zeta Developer Platform, focusing on architecting the Agentic Application Framework.

• You will be responsible for designing and evolving AI-powered agentic experiences that customers will rely on daily.

• This position offers significant design leverage, enabling company-wide teams to accelerate development while maintaining high quality.

• The role involves true ownership in setting design standards, defining best practices, and shaping the future evolution of the platform.

• Your work will have a compounding impact on how apps are built, team collaboration, and the overall trajectory of the Zeta Developer Platform.

📝 Enhancement Note: This role is explicitly positioned as a foundational and architectural design opportunity, not a typical feature-design role. The emphasis on "Agentic AI Applications" and "Model Context Protocol (MCP)" indicates a deep dive into cutting-edge AI user experiences within a B2B SaaS context, requiring a blend of strategic systems thinking and advanced craft. The "Remote - United States" location implies a need for strong self-management and asynchronous communication skills.

📈 Primary Responsibilities

• Architect the Agentic & Vertical Apps Foundation: Own the end-to-end design of the Agentic & Vertical Apps experiences within Figma, including the App Creation Process. Provide quality oversight to ensure consistency, scalability, and exceptional user experiences across the product ecosystem.

• Drive AI-Driven Design Patterns & Model Context: Inform and advance Model Context Protocol (MCP) patterns, AI interaction models, and agent behaviors to define how users understand, trust, and collaborate with intelligent systems within the marketing operating system.

• Elevate Craft and Interaction Quality: Lead by example in visual design, interaction design, and motion design to set a new quality standard for speed, clarity, and polish in AI-powered workflows and tools.

• Foster Technical Collaboration: Partner intimately with Product Management and Engineering to define strategy, scope, and execution, translating complex requirements and technical constraints into intuitive agentic experiences.

• Influence and Scale Design Impact: Act as a force multiplier for the design team by mentoring other designers, reviewing work, and challenging assumptions, while establishing systems, interfaces, and processes for scaling high-quality Agentic Apps efficiently.

📝 Enhancement Note: The responsibilities highlight a blend of strategic system design ("architect," "foundation," "scalability") and deep craft in AI interaction ("AI-driven design patterns," "model context," "agent behaviors"). The emphasis on "quality oversight" and "mentoring designers" suggests a senior individual contributor role with leadership influence, even without direct management.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent knowledge and experience in product design, AI interaction, and systems thinking is essential.

Experience:

• 7–10+ years of product design experience, with significant time dedicated to complex platforms, systems, or tools.

• B2B, SaaS, or AI-driven product experience is strongly preferred.

• Demonstrated experience leading foundational or platform-level design initiatives that scale across multiple teams, products, or workflows.

• Hands-on experience designing and shipping AI-powered features, workflows, or systems.

• Proven track record of close collaboration with Product and Engineering in fast-paced environments.

Required Skills:

• AI & Agentic Design Fluency: Deep understanding of AI-powered workflows, agentic systems, and emerging interaction patterns. Hands-on experience using AI tools (e.g., ChatGPT, Claude) for ideation, exploration, synthesis, and system thinking. Ability to design experiences shaped by models, context, and automation.

• Systems & Platform Design Expertise: Proven ability to design scalable systems, frameworks, and interfaces that ensure consistency, flexibility, and speed across complex product ecosystems. Expert-level proficiency in Figma, including structured libraries, reusable patterns, and scalable design foundations.

• End-to-End Product Design Craft: Excellence across UX, visual design, interaction design, and motion design. Ability to design sophisticated, intuitive, human-centric, and high-quality workflows, especially within technically complex domains.

• Strong Product Thinking: Ability to articulate problem statements, user jobs, system behaviors, and desired outcomes. Comfortable designing flows based on intent rather than just screens; understands when UI is not needed.

• Motion & Micro-Interaction Design: Strong understanding of animation as a UX tool, not just decoration. Expertise in using motion to communicate system states, AI progress, confidence levels, and reduce perceived latency. Skill in designing micro-interactions for states like loading, generating, refining, and handling results.

• Technical Collaboration & Prototyping: Strong comfort partnering with engineers, understanding technical constraints, and utilizing prototyping (low- and high-fidelity, coded or no-code) to explore, validate, and communicate complex ideas.

• Design Leadership Without Authority: Ability to influence outcomes through clarity, critique, documentation, and example-setting, thereby raising the bar for quality and consistency across teams.

Preferred Skills:

• Working knowledge of HTML, CSS, and modern frontend concepts, enabling deep collaboration with engineers and understanding of implementation tradeoffs.

• Familiarity with modern product development workflows and tools such as GitHub, Jira, Linear, Notion, Slack, and Confluence.

• Familiarity with Model Context Protocol (MCP) concepts, understanding how context, memory, tools, and agents influence system behavior and user experience.

• Experience with tools like Storybook, React/Next.js.

• Experience with motion/interaction tools like Rive, Motion.dev, Framer Motion, GSAP, or D3.

• Experience with prototyping tools like Framer, ProtoPie.

📝 Enhancement Note: The requirements emphasize deep expertise in AI-specific design challenges and systems thinking, alongside traditional product design craft. The explicit mention of "Design Leadership Without Authority" and "Comfort with Ambiguity" indicates a need for a highly autonomous and influential senior individual contributor. The requirement for "Hands-on, regular use of AI tools such as ChatGPT, Claude, or similar LLMs as part of your design workflow" is a critical differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Foundational/Platform Design Case Study: Showcase a significant project where you designed a scalable system, framework, or core platform component. Detail the problem, your strategic approach, the design system elements you created or leveraged, and the impact on consistency and efficiency for other teams.

• AI/Agentic Experience Design: Present a case study detailing your experience designing for AI-powered features, workflows, or agentic systems. Explain how you addressed user understanding, trust, and collaboration with AI, and how you incorporated concepts like model context or agent behavior.

• Complex Workflow Optimization: Include examples of designing intricate workflows within B2B SaaS or complex technical environments. Highlight how you simplified complexity, improved efficiency, and ensured intuitive user journeys.

• Figma Systems Expertise: Demonstrate your proficiency with Figma's advanced features for scalable design systems, such as component architecture, variants, auto-layout, design tokens, and shared libraries.

Process Documentation:

• Workflow Design & Optimization: Detail your process for analyzing existing workflows, identifying pain points, and designing optimized, scalable solutions, particularly for AI-driven applications.

• System Implementation & Scalability: Explain how you approach designing systems and patterns that can be adopted and scaled across multiple product lines or teams, including your use of design tokens, component libraries, and documentation.

• User Research & Validation: Describe your methods for validating AI-driven design concepts and complex workflows with users, especially in B2B contexts, and how you iterate based on feedback.

• Cross-Functional Collaboration: Illustrate your process for partnering with Product Managers and Engineers, including how you translate technical constraints and complex requirements into clear design specifications and prototypes.

📝 Enhancement Note: The portfolio requirements are highly specific, demanding evidence of systems design, AI interaction design, and advanced Figma skills. Candidates must be prepared to showcase how their work enables scalability and efficiency for other teams, not just individual feature success.

💵 Compensation & Benefits

Salary Range:

The salary range for this role is $160,000 - $180,000 USD annually. This range is dependent on factors such as the candidate's location, depth of experience, and specific qualifications.

Benefits:

• Unlimited PTO: Flexible time off to promote work-life balance and employee well-being.

• Comprehensive Health Coverage: Excellent medical, dental, and vision insurance plans.

• Employee Equity: Opportunity to share in the company's success through stock options or grants.

• Employee Discounts: Access to various discounts on products and services.

• Wellness & Support: Virtual Wellness Classes and Pet Insurance to support overall employee health and lifestyle.

Working Hours:

While specific hours are not detailed, a standard full-time commitment is expected, likely around 40 hours per week. Given the remote nature and global company presence, flexibility and strong asynchronous communication skills will be crucial.

📝 Enhancement Note: The salary range provided is based on the explicit mention in the job description. The benefits listed are directly extracted from the provided text. The working hours are inferred as standard full-time for a remote role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Zeta Global operates in the AI-Powered Marketing Cloud sector, leveraging advanced AI and consumer data to help marketers acquire, grow, and retain customers efficiently. They are a significant player in MarTech, with a vision to simplify sophisticated marketing through their Zeta Marketing Platform (ZMP).

Company Size: Zeta Global is a publicly traded company (NYSE: ZETA) with offices worldwide, indicating a mid-to-large enterprise size. This means established processes, but also opportunities for significant impact within specific teams.

Founded: Founded in 2007, Zeta Global has a history of innovation and growth, positioning itself at the forefront of AI in marketing. This longevity suggests a stable yet evolving company culture.

Team Structure:

• Zeta Developer Platform Team: This specific team is "building our next-generation Marketing Operating System." The role is described as a "pillar position" within this team.

• Core Triad Partnership: The Senior Product Designer will work as a core triad partner with Product Management and Engineering, suggesting a highly collaborative and integrated approach to product development.

• Cross-Functional Collaboration: The role emphasizes influencing and scaling design impact across the company, indicating a need for strong relationships with various stakeholders beyond the immediate team.

Methodology:

• AI-First Approach: AI is core to the product, not an experiment. The team focuses on shipping production-grade agentic experiences.

• Vision-Driven & Empowered: The team values "Vision over hand-holding," "Empowerment and delegation," and "Strategy and clarity," leading to increased accountability, ownership, and impact.

• Continuous Improvement: The team actively seeks input on what to stop, start, or change to elevate their performance.

Company Website: www.zetaglobal.com

📝 Enhancement Note: The company context highlights Zeta Global's position as a leader in AI-driven marketing technology. The team structure and methodology emphasize collaboration, autonomy, and a forward-thinking approach, particularly relevant for a senior role focused on a new, foundational platform.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Individual Contributor (IC) with a significant leadership component, focusing on foundational platform design rather than feature execution. It requires a strategic mindset and the ability to influence without direct authority.

Reporting Structure: While not explicitly stated, the emphasis on a "core triad partner" with Product Management and Engineering suggests close collaboration within a product development pod. The Senior Product Designer will likely report to a Design Lead or Head of Design, with significant autonomy in their area.

Operations Impact: The "Agentic Application Framework" is described as the "core foundation" of the Zeta Developer Platform, a "pillar position that bridges design and engineering." The impact is immense, as the work will define how AI-powered apps are built across the entire platform, influencing product strategy, engineering efficiency, and ultimately, customer success and Zeta's competitive advantage in the MarTech space.

Growth Opportunities:

• Architectural Leadership: Opportunity to shape the technical and design architecture of a mission-critical, next-generation platform from its inception.

• AI Design Specialization: Deepen expertise in the rapidly evolving field of AI and agentic system design, becoming a thought leader in this niche.

• Influence and Mentorship: Grow leadership skills by mentoring other designers and influencing design standards and best practices across the organization.

• Cross-Functional Influence: Develop strong relationships and strategic influence with Product Management and Engineering leadership.

• Company-Wide Impact: Contribute to a product that will define Zeta Global's future, offering significant visibility and potential for future career advancement within the company.

📝 Enhancement Note: This role offers a unique opportunity for a senior designer to build something foundational in a high-growth area (Agentic AI) within a well-established company. The growth is less about climbing a traditional management ladder and more about deepening expertise, strategic influence, and architectural ownership.

🌐 Work Environment

Office Type: This position is fully remote within the United States. This implies a distributed team environment that relies heavily on digital collaboration tools and asynchronous communication.

Office Location(s): While Zeta Global has offices worldwide, this specific role is designated as Remote in the United States only. This suggests that while the company is global, the immediate team or legal/HR structures might be US-centric for this position.

Workspace Context:

• Digital Collaboration Hub: Expect extensive use of tools like Slack, Notion, Jira, and Figma for communication, documentation, project management, and design collaboration.

• AI-Augmented Workflow: The role inherently involves working with and designing for AI tools, suggesting an environment that embraces cutting-edge technology.

• Cross-Functional Interaction: Regular interaction with Product Managers, Engineers, and potentially other design team members will be a key part of the daily experience. This requires strong remote communication and collaboration skills.

Work Schedule: A standard full-time schedule is implied, but the remote nature likely offers some flexibility. Success will depend on effective time management, proactive communication, and the ability to collaborate across different time zones if necessary, though the "United States" designation might simplify this.

📝 Enhancement Note: The remote nature of the role necessitates a high degree of self-discipline, proactive communication, and comfort with digital-first collaboration. The company's emphasis on "strategy and clarity" suggests that workflow efficiency and clear communication channels are prioritized.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of your resume and portfolio, focusing on experience with complex platforms, AI design, and Figma systems.

• Design Challenge/Case Study Presentation: A common step for senior design roles. Expect to present a deep dive into one or two of your most relevant portfolio pieces, focusing on your process, strategic thinking, and impact. This will likely be tailored to AI or platform design.

• Triad Interviews: Interviews with key stakeholders, including Product Management and Engineering leads, to assess your collaboration style, technical understanding, and ability to integrate into their workflow.

• Design Team/Leadership Interviews: Discussions with other designers or design leadership to evaluate your craft, leadership potential, and cultural fit within the design organization.

• Final Round: Potentially with higher-level leadership to discuss strategic vision and overall fit.

Portfolio Review Tips:

• Highlight Foundational/Platform Work: Prioritize case studies that demonstrate your ability to design scalable systems, frameworks, or core platform components. Clearly articulate the impact on consistency and efficiency.

• Showcase AI/Agentic Design: Include a specific case study on designing for AI, explaining your approach to user trust, understanding, and collaboration with intelligent systems.

• Emphasize Figma Systems: Detail your expertise in Figma, showcasing complex component libraries, design tokens, and scalable architectures.

• Quantify Impact: Wherever possible, present metrics or tangible outcomes that demonstrate the success of your designs, especially in terms of efficiency gains, scalability, or user adoption.

• Tell a Story: Structure your case studies to clearly outline the problem, your unique approach, the execution, and the results. Focus on your thought process and decision-making.

• Prepare for Technical Depth: Be ready to discuss technical constraints and your collaboration process with engineers.

Challenge Preparation:

• AI Interaction Scenarios: Practice designing for common AI interaction patterns—e.g., how to present AI-generated content, handle errors or hallucinations, manage user prompts, and provide feedback mechanisms.

• System Design Questions: Be prepared to discuss how you would design a scalable component or system from scratch, considering factors like maintainability, extensibility, and cross-team usage.

• Motion Design Rationale: Articulate the UX purpose behind any motion you've designed, especially in AI contexts (e.g., indicating processing, confidence levels, or state changes).

• Leadership & Influence: Prepare examples of how you've influenced design direction, mentored junior colleagues, or driven consensus on design decisions without formal authority.

📝 Enhancement Note: The interview process for a senior, foundational role like this will be rigorous, focusing heavily on strategic thinking, systems design, and AI-specific challenges. The portfolio is paramount, and candidates must be prepared to articulate their process and impact in detail.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency is mandatory, with a focus on scalable component architecture, variants, auto-layout, design tokens, and shared libraries.

• Rive, FigJam, Figma Slides: Experience with these tools is expected for animation, ideation, and presentation.

Analytics & Reporting: While not explicitly listed, a Senior Product Designer is expected to leverage analytics to inform design decisions. Familiarity with common product analytics tools is beneficial.

CRM & Automation: Not directly applicable to this design role, but understanding the broader MarTech ecosystem (where Zeta operates) is valuable.

AI-Native Design Tools:

• LLM Interaction: Hands-on, regular use of AI tools like ChatGPT, Claude, or similar LLMs for ideation, exploration, synthesis, critique, and system thinking is a core requirement.

• AI-Assisted Build & Prototyping: Comfort using tools like Cursor, Bolt, Lovable, Claude Code, or similar to prototype and experiment with AI-enabled experiences.

Motion & Interaction:

Prototyping:

Technical Fluency:

Collaboration:

• Familiarity with modern product development workflows: GitHub, Jira, Linear, Notion, Slack, Confluence.

• Understanding of Model Context Protocol (MCP) concepts, including how context, memory, tools, and agents influence system behavior and user experience.

📝 Enhancement Note: The technology stack is heavily weighted towards advanced design tools, AI-specific design and prototyping tools, and technical fluency. This signals a role that is at the cutting edge of design practice, deeply integrated with engineering and AI development.

👥 Team Culture & Values

Operations Values:

• AI-Forward & Curious: A strong drive to experiment with and understand AI tools, workflows, and emerging technologies, bringing that learning back to the team to inform design.

• High Autonomy & Ownership: Individuals are expected to drive their own work, take ownership of areas, and not require step-by-step direction. The product is treated as their own.

• Strong Judgment & Pragmatism: The ability to discern what's truly important versus what's nice-to-have, optimizing for impact and knowing when to ship rather than striving for unattainable perfection.

• Clear Communication & Collaboration: Articulating thinking simply and clearly to Product, Engineering, and Leadership. This includes writing clear rationale, providing constructive critique, and disagreeing constructively without defensiveness.

• Comfort with Ambiguity: The ability to operate and drive progress even when requirements are incomplete, enjoying the process of shaping the problem space.

• Quality Advocate: A deep care for craft and polish, balanced with pragmatic judgment on when to ship, learn, and iterate.

Collaboration Style:

• Integrated Triad: Close, core partnership with Product Management and Engineering is fundamental.

• Influence & Mentorship: A collaborative style that influences outcomes through clarity, critique, and example-setting, aiming to elevate the entire design team's output and consistency.

• Open Debate & Challenge: The team culture encourages "healthy debate" and challenges assumptions to achieve better outcomes, valuing diverse perspectives.

• Knowledge Sharing: Implicitly, a culture that supports sharing learnings from AI experimentation and design challenges.

📝 Enhancement Note: The team culture values innovation, autonomy, and pragmatic execution, particularly in the context of cutting-edge AI development. The emphasis on clear communication and collaborative debate is crucial for a senior, influential role.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for the Unknown: Navigating the rapidly evolving landscape of Agentic AI and defining user experiences for capabilities that are still being understood and developed.

• Balancing Innovation with Scalability: Creating foundational designs that are both cutting-edge and robust enough to scale across a complex enterprise platform and enable other teams.

• Establishing New Design Patterns: Defining and championing new interaction paradigms for AI-driven applications, requiring education and buy-in from stakeholders.

• Technical Complexity: Working at the intersection of advanced AI, complex data systems, and user interface design, requiring a deep understanding of technical constraints and possibilities.

• Remote Collaboration at Scale: Effectively collaborating, influencing, and maintaining design quality across a distributed team without constant in-person interaction.

Learning & Development Opportunities:

• Deep AI Expertise: Immersion in the design and development of agentic AI systems, becoming a specialist in a highly sought-after field.

• Platform Architecture: Gaining experience in designing and scaling foundational platform components, a critical skill for senior product designers.

• Leadership Influence: Developing strong influencing and mentorship skills by shaping design direction and practices without formal management.

• MarTech Industry Insights: Deepening understanding of the marketing technology landscape and how AI is transforming it.

• Exposure to Cutting-Edge Tools: Hands-on experience with advanced AI-native design and prototyping tools.

📝 Enhancement Note: This role presents significant challenges inherent in pioneering new AI product areas, balanced by substantial growth opportunities in specialized AI design and platform architecture.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a foundational system or platform component. What was your process, what were the key considerations, and how did it enable other teams?"

• "How would you approach designing the core framework for building AI-powered applications, considering user trust, context, and agent behavior?"

• "Walk us through a complex AI-driven workflow you designed. What were the user jobs, system behaviors, and how did you use AI tools in your design process?"

• "Given the rapid evolution of AI, how do you ensure your designs remain relevant and adaptable?"

Company & Culture Questions:

• "What excites you about Zeta Global's mission and the AI-Powered Marketing Cloud space?"

• "How do you approach design leadership and influencing stakeholders without direct authority?"

• "Describe your experience working in a 'core triad' with Product and Engineering. What makes that collaboration successful?"

• "How do you handle ambiguity in requirements and shape the problem space?"

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem, User Job/Goal, Your Role, Design Process (Research, Ideation, Iteration, Prototyping), Key Design Decisions & Rationale (especially for AI/System aspects), Technical Considerations, Outcomes/Impact (quantified if possible).

• AI Focus: Explicitly highlight how AI was integrated into the product and your design process. Discuss challenges related to AI (e.g., explainability, trust, bias) and how you addressed them.

• System Design Emphasis: For platform/system case studies, detail your approach to componentization, scalability, consistency, and how you created reusable assets or guidelines.

• Tool Proficiency: Briefly demonstrate your mastery of Figma and other relevant tools (Rive, prototyping tools, AI tools) within your examples.

• Conciseness: Be prepared to present your work efficiently, focusing on the most impactful aspects for a senior, foundational role. Anticipate questions about your decision-making.

📝 Enhancement Note: Interview preparation should heavily emphasize strategic thinking, systems design, and direct experience with AI/agentic systems. Candidates must be ready to articulate their process, decision-making, and leadership capabilities through detailed case studies.

📌 Application Steps

To apply for this Senior Product Designer position at Zeta Global:

• Submit your application: Utilize the application link provided on the Greenhouse platform.

• Curate Your Portfolio: Select 2-3 of your most relevant case studies that highlight your experience with complex platforms, AI/agentic design, and systems thinking. Prioritize projects demonstrating foundational design work and your ability to scale design impact.

• Tailor Your Resume: Ensure your resume clearly articulates your 7-10+ years of experience, specifically mentioning B2B SaaS, AI-driven products, and experience leading platform-level design. Use keywords from the job description like "Agentic AI," "Figma Systems," "Model Context Protocol," and "Design Leadership."

• Prepare Your Presentation: Rehearse a concise and impactful presentation of your chosen portfolio pieces. Focus on your strategic thinking, process, collaboration with engineering, and the quantifiable impact of your work, especially concerning AI and system design.

• Research Zeta Global: Understand their AI-Powered Marketing Cloud vision, the Zeta Developer Platform, and their company culture. Be ready to articulate why you are a strong fit for 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.