Product Designer, Audiences & Activation

Adobe
Full-time•$101k-202k/year (USD)•San Jose, United States

šŸ“ Job Overview

Job Title: Product Designer, Audiences & Activation

Company: Adobe

Location: San Francisco, California, United States; New York, New York, United States; San Jose, California, United States

Job Type: Full-Time

Category: Product Design / User Experience (UX)

Date Posted: May 03, 2026

Experience Level: Mid-Level (3-5 years)

Remote Status: On-site

šŸš€ Role Summary

  • Design and develop innovative AI-integrated enterprise experiences within Adobe's Audiences team, focusing on segmentation and personalization.

  • Craft high-quality, accessible user interfaces from initial concept through production-ready specifications, adhering to and evolving design system principles.

  • Build interactive prototypes, including AI-assisted and code-based solutions, to explore complex ideas, identify edge cases, and validate machine learning features before engineering.

  • Establish new interaction patterns and contribute to shared libraries to enhance consistency and quality across the Audiences product area.

  • Collaborate directly with customers to understand their workflows and user needs, translating insights into actionable product improvements.

šŸ“ Enhancement Note: While this role is for a Product Designer, it is situated within Adobe's Experience Cloud, specifically the Audiences team, which heavily utilizes AI and data for enterprise solutions. This implies a strong need for understanding data-driven design, AI integration, and the complexities of enterprise software workflows. The emphasis on "Revenue Operations" and "Sales Operations" context is inferred from the "Audiences & Activation" focus, which directly impacts how businesses understand, target, and activate customer segments, a core function for GTM operations.

šŸ“ˆ Primary Responsibilities

  • Conceptualize and execute end-to-end user experience designs for AI-powered features in segmentation and personalization tools.

  • Develop detailed wireframes, user flows, interactive prototypes, and high-fidelity mockups using Figma and other relevant design tools.

  • Conduct user research and usability testing to gather feedback, validate design decisions, and ensure products meet customer needs and business objectives.

  • Translate complex data sets and AI outputs into simple, intuitive, and actionable user interfaces for enterprise clients.

  • Collaborate closely with product managers, engineers, researchers, and marketing teams to ensure design feasibility and successful product implementation.

  • Advocate for design system principles while also identifying opportunities to innovate and establish new, consistent interaction patterns.

  • Contribute to the development of accessible and inclusive designs that adhere to WCAG standards.

  • Present design concepts, user research findings, and strategic recommendations to cross-functional partners and leadership.

šŸ“ Enhancement Note: The core responsibilities are tailored to a Product Designer role but emphasize the "Audiences & Activation" aspect. This means focusing on how design directly influences lead generation, customer segmentation, campaign activation, and ultimately, revenue generation. The responsibilities are framed to highlight the impact on GTM strategy and operations.

šŸŽ“ Skills & Qualifications

Education:

Experience:

  • Minimum of 3 years of professional product design experience, demonstrating a strong portfolio of impactful work.

Required Skills:

  • Product Design: Expertise in user-centered design principles, interaction design, and visual design.

  • Portfolio: A strong portfolio showcasing visual craft, clear storytelling, and experience with complex data-powered products.

  • Prototyping: Proficiency in creating interactive mockups and prototypes using tools like Figma.

  • AI Integration: Experience or strong understanding of designing products that incorporate AI-generated outputs or intelligent features.

  • Storytelling: Ability to articulate design decisions, present work effectively, and drive consensus among stakeholders.

  • User Research: Experience conducting user interviews, usability testing, and synthesizing feedback.

  • Accessibility Design: Understanding of designing for inclusivity and adherence to accessibility standards (e.g., WCAG).

Preferred Skills:

  • Figma Proficiency: Advanced skills and comfort with Figma for complex design systems and workflows.

  • Data Visualization: Familiarity with data visualization techniques and tools.

  • Segmentation/Analytics Products: Experience designing for products related to customer segmentation, marketing analytics, or personalization platforms.

  • Enterprise Customer Experience: Direct experience working with enterprise clients and understanding their unique needs.

  • AI Tools: Comfort experimenting with evolving AI tools to enhance the design process.

  • Accessibility Certifications: CPACC, WAS, CPWA, or ADS certifications from the IAAP are a plus.

šŸ“ Enhancement Note: The "Must-haves" and "Nice-to-haves" are directly extracted and elaborated upon. The emphasis on AI, complex data, and enterprise customers is highlighted as critical for this specific role within the "Audiences & Activation" domain, which has direct implications for revenue operations.

šŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Case Studies: Showcase 2-3 detailed case studies demonstrating end-to-end product design process, from problem definition to final solution.

  • Impact & Metrics: Clearly articulate the problem solved, the design solutions implemented, and the measurable impact (e.g., user adoption, efficiency gains, customer satisfaction) using relevant metrics.

  • Process Documentation: Illustrate the design process, including user research, ideation, wireframing, prototyping, and user testing phases.

  • System Thinking: Demonstrate an understanding of design systems, component libraries, and how designs maintain consistency and scalability across products.

  • AI/Data Integration: Highlight any projects that involved designing for AI-driven features or complex data sets, explaining the design challenges and solutions.

Process Documentation:

  • User-Centered Design: Evidence of applying user research and testing to inform design decisions and iterate on solutions.

  • Workflow Optimization: Examples of how your designs simplified complex workflows or improved user efficiency, particularly relevant for enterprise users.

  • System Implementation: Showcase how designs integrate with existing technical constraints or leverage established design systems.

šŸ“ Enhancement Note: This section is crafted to guide operations-focused candidates on what a strong product design portfolio should emphasize for this role. The focus is on demonstrating process, impact, and the ability to handle complex, data-driven, and AI-integrated systems, all crucial for GTM operations.

šŸ’µ Compensation & Benefits

Salary Range:

  • San Francisco, CA & San Jose, CA: $139,400 - $201,950 annually

  • New York, NY: $139,400 - $201,950 annually

  • Other US Locations (Implicit): $101,200 - $201,950 annually

Explanation of Range: The salary range provided reflects Adobe's compensation strategy, which accounts for geographic cost of labor differences across various U.S. markets. The specific pay within this range will depend on factors such as job-related knowledge, skills, and experience, as well as the candidate's work location.

Benefits:

  • Comprehensive Benefits Programs: Adobe offers a robust suite of benefits designed to support employee well-being and professional growth.

  • Health, Dental, and Vision Insurance: Medical coverage for employees and their families.

  • Retirement Savings Plan: Such as a 401(k) plan with company match.

  • Paid Time Off: Including vacation, sick leave, and holidays.

  • Parental Leave: Support for new parents.

  • Professional Development: Opportunities for training, conferences, and skill enhancement.

  • Employee Stock Purchase Plan: Opportunity to invest in Adobe's growth.

Working Hours:

  • Standard full-time workweek is approximately 40 hours.

  • While on-site, specific working hours may be flexible based on team needs and project deadlines, but core hours are expected for collaboration.

šŸ“ Enhancement Note: The salary ranges for San Francisco and New York are explicitly stated. The broader US range is also provided. The explanation clarifies the basis for these ranges, which is crucial for candidates evaluating compensation. Benefits are listed broadly, as is typical, but framed to appeal to professionals seeking stability and growth.

šŸŽÆ Team & Company Context

šŸ¢ Company Culture

Industry: Software & Technology, specifically focused on Digital Media, Marketing Technology, and Enterprise Solutions. Adobe operates at the intersection of creative tools, document management, and customer experience platforms.

Company Size: 30,000+ employees worldwide. This signifies a large, established organization with structured processes, extensive resources, and opportunities for career advancement.

Founded: 1982. With a long history, Adobe has a mature culture, a strong brand reputation, and a deep understanding of its markets.

Team Structure:

  • Audiences Team: Works at the intersection of data, AI, and experience design, focusing on complex workflows at an exceptional scale for enterprise customers.

  • Reporting Structure: This role reports into a design leadership hierarchy within the Experience Cloud product area, likely collaborating closely with Product Management and Engineering leads.

  • Cross-functional Collaboration: Expected to work extensively with Product Managers, Engineers, UX Researchers, and potentially Marketing and Sales teams to define and deliver AI-driven product features.

Methodology:

  • Human-Centered Design: Emphasis on understanding user needs and creating intuitive experiences.

  • Data-Driven Decision Making: Leveraging data and AI to inform product strategy and design.

  • Agile Development: Likely operating within an agile framework, with iterative design and development cycles.

  • Design System Integration: Commitment to leveraging and contributing to a robust design system for consistency and efficiency.

Company Website: https://careers.adobe.com/us/en

šŸ“ Enhancement Note: The context provided emphasizes Adobe's position as a major player in the tech industry, with a focus on enterprise solutions and AI. This is relevant to operations professionals who often interface with these platforms for GTM strategy, data analysis, and customer activation. The team structure highlights collaboration, which is key in operations roles.

šŸ“ˆ Career & Growth Analysis

Operations Career Level: Mid-Level Product Designer. This level implies a need for independent contribution, problem-solving, and mentorship of more junior designers. The role is expected to significantly influence product direction and user experience within the Audiences domain.

Reporting Structure: Reports to a Design Manager or Director, with dotted-line reporting or close collaboration with Product Management and Engineering leads for the Audiences product area.

Operations Impact: This role directly influences how enterprise customers leverage AI for segmentation and personalization. Success in this role means enabling businesses to better understand their customer base, activate targeted campaigns, and ultimately drive revenue growth through more effective customer engagement strategies. The design decisions here are critical for the operational efficiency and effectiveness of sales and marketing teams using Adobe's Experience Cloud.

Growth Opportunities:

  • AI Product Design Specialization: Deepen expertise in designing AI-powered features and understanding the nuances of human-AI interaction.

  • Leadership in Design Systems: Become a key contributor or owner of design system components and patterns for the Audiences product area.

  • Cross-Functional Influence: Grow influence across Product Management and Engineering, shaping product strategy and roadmap.

  • Customer Engagement: Develop deeper relationships with enterprise customers, becoming a trusted advisor on user experience and AI integration.

  • Potential for Senior/Lead Designer Roles: With demonstrated impact and skill development, progression to Senior Product Designer or Lead roles within Adobe's design organization.

šŸ“ Enhancement Note: This analysis frames the Product Designer role through an operations lens, highlighting its direct impact on revenue generation and GTM efficiency. Growth opportunities are tied to developing specialized skills relevant to modern operations, such as AI integration and data-driven design.

🌐 Work Environment

Office Type: On-site. This role requires regular presence in one of Adobe's primary U.S. offices.

Office Location(s): San Francisco, California; New York, New York; San Jose, California. These are major tech hubs, offering access to a vibrant professional community and innovation ecosystem.

Workspace Context:

  • Collaborative Environment: Adobe offices are designed to foster collaboration, with open workspaces, meeting rooms, and common areas.

  • Tools & Technology: Access to state-of-the-art design software (Figma), prototyping tools, and potentially internal AI tools for design exploration.

  • Team Interaction: Frequent opportunities for in-person interaction with design peers, product managers, engineers, and researchers to drive projects forward.

Work Schedule:

  • Standard 40-hour workweek, with flexibility for project needs.

  • On-site presence is expected to facilitate team collaboration and engagement.

šŸ“ Enhancement Note: The description emphasizes the collaborative and resource-rich environment of Adobe's offices, which is conducive to the cross-functional work common in operations. The on-site requirement is noted as a key aspect of the work environment.

šŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: Review of resume and portfolio by a recruiter.

  • Portfolio Presentation & Discussion: A dedicated session where the candidate presents selected case studies from their portfolio, discussing their process, design rationale, and impact. This is a critical opportunity to showcase GTM-relevant design thinking.

  • Design Challenge/Exercise: A practical design task, potentially involving AI integration, data interpretation, or user experience problem-solving relevant to the Audiences team.

  • Team/Hiring Manager Interviews: Conversations with potential team members and the hiring manager to assess skills, cultural fit, and strategic thinking.

  • Cross-functional Interviews: Potential interviews with Product Managers or Engineers to evaluate collaboration and technical understanding.

Portfolio Review Tips:

  • Focus on Impact: For each case study, clearly articulate the business problem addressed, the user needs identified, your specific contributions, the design solutions, and the measurable outcomes (e.g., increased conversion rates, improved segmentation accuracy, enhanced campaign activation efficiency).

  • Showcase Process: Detail your design process, including how you used research, prototyping, and iteration to arrive at your final solution. Highlight how you handled complex data or AI elements.

  • Storytelling: Structure your presentation with a clear narrative arc. Explain the "why" behind your design decisions, not just the "what."

  • Tool Proficiency: Be prepared to discuss your experience with Figma and any other design or prototyping tools. If you've experimented with AI design tools, be ready to share those insights.

  • Accessibility & Inclusivity: If applicable, highlight projects where you prioritized accessible design and explain your approach.

Challenge Preparation:

  • Understand the Domain: Familiarize yourself with Adobe Experience Cloud, specifically the Audiences and Activation products, and the challenges of segmentation and personalization in enterprise environments.

  • AI & Data Focus: Be prepared for tasks that might involve interpreting data or designing for AI-driven outputs. Think about how to make AI features understandable and actionable.

  • Problem-Solving: Approach any challenges systematically, outlining your thought process, assumptions, and proposed solutions clearly.

  • Presentation Skills: Practice articulating your ideas concisely and persuasively.

šŸ“ Enhancement Note: This section provides actionable advice for preparing an operations-minded product design portfolio and navigating the interview process, emphasizing how design contributes to business objectives like GTM efficiency and revenue.

šŸ›  Tools & Technology Stack

Primary Tools:

  • Figma: The core design tool for wireframing, prototyping, and high-fidelity mockups. Advanced proficiency is expected.

  • Prototyping Tools: Experience with Figma's prototyping capabilities, and potentially others like Adobe XD or InVision.

  • AI Design Tools: Comfort experimenting with and integrating emerging AI tools for design assistance, content generation, or rapid prototyping.

Analytics & Reporting:

  • User Analytics Platforms: Familiarity with tools for tracking user behavior and product performance (e.g., Adobe Analytics, Google Analytics).

  • Data Visualization Tools: Experience interpreting data from dashboards and potentially creating simple visualizations to support design decisions.

CRM & Automation (Contextual Awareness):

  • Understanding of CRM/Marketing Automation: While not a direct requirement, awareness of how enterprise customers use CRM (e.g., Salesforce) and marketing automation platforms (e.g., Adobe Marketo Engage) is beneficial for designing effective segmentation and activation tools.

šŸ“ Enhancement Note: The tools listed are specific to Product Design roles, with an emphasis on Figma and emerging AI tools. The inclusion of CRM/Marketing Automation awareness is a nod to the operational context of the Audiences & Activation team.

šŸ‘„ Team Culture & Values

Operations Values:

  • Customer Centricity: A deep commitment to understanding and solving customer problems, particularly for enterprise clients.

  • Innovation with AI: Embracing and exploring the potential of AI to create groundbreaking products and experiences.

  • Data-Driven: Utilizing data and insights to inform design decisions and measure impact.

  • Collaboration & Inclusion: Fostering an environment where diverse perspectives are valued, and teamwork is paramount.

  • Quality & Craftsmanship: A dedication to producing high-quality, polished, and accessible designs.

Collaboration Style:

  • Cross-functional Partnership: Working closely with Product Management, Engineering, and Research to achieve shared goals.

  • Open Communication: Encouraging clear, honest, and constructive feedback among team members.

  • Iterative Process: Embracing an iterative design approach, welcoming feedback and adapting designs based on insights.

  • Advocacy for Design: Effectively communicating design rationale and advocating for user needs within the broader product development process.

šŸ“ Enhancement Note: These values are aligned with typical tech company culture but are framed to resonate with operations professionals who value efficiency, data, and collaborative problem-solving.

⚔ Challenges & Growth Opportunities

Challenges:

  • Designing for AI Complexity: Translating sophisticated AI outputs and algorithms into intuitive and actionable user interfaces for enterprise users.

  • Balancing User Needs with Technical Constraints: Integrating AI features seamlessly within existing enterprise workflows and technical architectures.

  • Establishing New Interaction Patterns: Defining and evangelizing novel design patterns for AI-driven features that need to be scalable and consistent.

  • Driving Adoption of New Technologies: Encouraging enterprise customers to adopt and effectively utilize AI-powered segmentation and activation tools.

Learning & Development Opportunities:

  • AI Product Design Expertise: Becoming a go-to expert in designing for AI within Adobe's Experience Cloud.

  • Design System Leadership: Contributing to and potentially leading the evolution of design systems for enterprise products.

  • Industry Trends: Staying abreast of advancements in AI, machine learning, data visualization, and their application in marketing and customer experience.

  • Mentorship: Opportunities to mentor junior designers and learn from experienced leaders in the field.

šŸ“ Enhancement Note: The challenges and growth opportunities are framed to highlight the cutting-edge nature of the role, particularly its AI focus, and the potential for career development in a high-demand area relevant to modern GTM operations.

šŸ’” Interview Preparation

Strategy Questions:

  • "Tell me about a time you designed a product that integrated complex data or AI. What were the biggest challenges, and how did you overcome them?" (Focus on your process, problem-solving, and quantifiable impact).

  • "How do you approach ensuring accessibility and inclusivity in your designs, especially when working with complex enterprise software?" (Highlight your understanding of WCAG and practical application).

Company & Culture Questions:

  • "Why are you interested in Adobe and specifically the Audiences & Activation team?" (Research Adobe's mission, values, and the specific product area).

  • "How do you stay current with emerging technologies like AI and their impact on product design?" (Showcase your proactive learning and passion for innovation).

Portfolio Presentation Strategy:

  • Curate Strategically: Select 2-3 projects that best showcase your skills relevant to AI, complex data, enterprise design, and your impact on business outcomes.

  • Tell a Clear Story: For each project, walk through the problem, your process, your specific contributions, the design solutions, and the results. Use visuals effectively.

  • Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved user efficiency, increased conversion, better data accuracy).

  • Highlight AI/Data Nuances: If projects involved AI or complex data, be prepared to discuss the specific design considerations and challenges you addressed.

  • Be Prepared for Questions: Anticipate questions about your design choices, trade-offs, and how you handle feedback.

šŸ“ Enhancement Note: This section provides specific, actionable questions and preparation strategies tailored to a product design role with an AI and enterprise focus, guiding candidates on how to frame their experience in a way that resonates with the business and operational goals of the role.

šŸ“Œ Application Steps

To apply for this Product Designer position:

  • Submit your application through the official Adobe Careers portal via the provided job URL.

  • Tailor Your Resume: Highlight experience in product design, AI integration, complex data handling, and enterprise software. Use keywords from the job description, such as "AI," "segmentation," "personalization," "Figma," and "WCAG."

  • Curate Your Portfolio: Select case studies that best demonstrate your end-to-end design process, visual craft, storytelling ability, and impact on user/business goals. Ensure at least one project showcases experience with complex data or AI.

  • Prepare Your Presentation: Practice presenting your portfolio case studies clearly and concisely, focusing on the "why," your process, and measurable results. Be ready to discuss your experience with Figma and accessibility standards.

  • Research Adobe: Understand Adobe's mission, values, product suite (especially Experience Cloud), and the specific challenges the Audiences team aims to solve.

āš ļø Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions tailored for operations-minded professionals. All details should be verified directly with Adobe before making application decisions.

Application Requirements

Requires 3+ years of product design experience with a strong portfolio in visual craft and complex data experiences. Proficiency in Figma and experience with AI tools are essential, while accessibility certifications and enterprise customer experience are preferred.