Senior UX Designer

📍 Job Overview

Job Title: Senior UX Designer

Company: Indeed

Location: Remote (United States)

Job Type: Other (Full-time assumed)

Category: UX/Product Design (with a strong focus on AI/ML integration)

Date Posted: 2026-07-24

Experience Level: 8+ years (or 6+ with Master's, 3+ with PhD)

Remote Status: Fully Remote

🚀 Role Summary

• Lead interaction design for complex AI-powered hiring automation tools, focusing on user trust, transparency, and control.

• Translate high-level product roadmaps and user goals into actionable, iterative design solutions.

• Drive the design process by leveraging user research, usability testing, and A/B testing to inform and validate design decisions.

• Analyze user journeys, information architecture, and workflows to identify opportunities for significant usability and satisfaction improvements.

• Collaborate closely with product managers, engineers, and distributed cross-functional teams to deliver cohesive and scalable user experiences.

📝 Enhancement Note: While the job title is "Senior UX Designer," the responsibilities and requirements strongly suggest a role focused on the intersection of UX design, AI/ML, and product strategy within a B2B SaaS context. The emphasis on "AI powered hiring automation tools" and "design for trust and transparency in AI powered features" indicates a specialized UX role. The salary tiers provided suggest a senior-level position with significant compensation potential.

📈 Primary Responsibilities

• Own the end-to-end interaction design for employer-facing interfaces that facilitate the configuration and automation of AI-driven hiring decisions.

• Develop design strategies to enhance employer trust in AI-generated recommendations and actions, ensuring users understand the "why" behind system behavior.

• Create intuitive controls that allow employers to effectively manage and calibrate AI system outputs according to their preferences.

• Map complex user flows and information architectures for AI configuration tools, ensuring clarity and ease of use at scale.

• Conduct qualitative research and usability testing sessions to gather user feedback and iterate on design solutions.

• Analyze customer feedback and A/B testing results to quantitatively measure the impact of design changes on usability and user satisfaction.

• Advocate for the user throughout the product development lifecycle, ensuring customer needs are prioritized in roadmap planning and execution.

• Collaborate effectively with engineering teams to ensure design feasibility and successful implementation of complex features.

• Contribute to the development of design systems and best practices for AI-driven product experiences.

📝 Enhancement Note: The responsibilities are framed to highlight the strategic and ownership aspects expected of a Senior UX Designer, particularly in a complex domain like AI/ML integration. The emphasis is on not just creating interfaces, but on solving complex UX problems related to trust, control, and understanding of AI systems.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Graphic Design, Human-Computer Interaction (HCI), Information Design, or a closely related field.

• Master’s degree in a relevant field can substitute for some years of experience.

• PhD in a relevant field can substitute for even more experience. Experience:

• Minimum of 8 years of related UX design experience (with a Bachelor's degree).

• Minimum of 6 years of related UX design experience (with a Master's degree).

• Minimum of 3 years of related UX design experience (with a PhD).

• Proven experience designing for AI/ML powered features, with a specific focus on communicating automated decision-making and providing user control. Required Skills:

• Systems Thinking: Demonstrated ability to map interconnected user types, system states, and end-to-end user journeys into coherent and scalable experiences.

• Interaction Design: Expertise in designing intuitive and effective interfaces for complex configuration and automation workflows.

• AI/ML Design Principles: Strong understanding of how to design for trust, transparency, and user control in AI-driven products.

• User Research & Usability Testing: Proficiency in planning, conducting, and synthesizing qualitative and quantitative user research to inform design decisions.

• Figma/Sketch: Advanced skills in using modern interaction design and prototyping tools like Figma or Sketch.

• Information Architecture: Ability to structure complex information and define navigation for sophisticated applications.

• Cross-functional Collaboration: Excellent communication and collaboration skills, with experience working effectively with Product Management, Engineering, and other stakeholders, particularly in distributed teams.

Preferred Skills:

• Responsive & Mobile-First Design: Experience designing for various screen sizes and device types.

• A/B Testing: Experience in designing experiments and interpreting results from A/B tests to optimize user experiences.

• Data-Driven Design: Ability to leverage user insights and data analytics to support design recommendations and measure impact.

• Prototyping: Experience creating interactive prototypes to effectively communicate design concepts.

• Customer Feedback Analysis: Skill in gathering, analyzing, and acting upon customer feedback.

📝 Enhancement Note: The qualifications are detailed to reflect the specific requirements for a senior role in a specialized area. The emphasis on "Systems Thinking" and "AI/ML Design Principles" is crucial given the product focus. The experience requirements are clearly differentiated based on educational attainment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Problem-Solving Focus: Showcase a minimum of 3-4 complex design challenges you've successfully tackled, emphasizing your thought process and the problem you aimed to solve.

• AI/ML Case Studies: Include at least one detailed case study demonstrating your experience designing for AI/ML features, highlighting how you addressed trust, transparency, and user control.

• Systems Thinking Examples: Present projects that clearly illustrate your ability to map out complex user journeys, information architectures, and system interactions.

• Outcome-Oriented Artifacts: Demonstrate the impact of your designs through metrics, usability test results, or other tangible outcomes rather than solely showcasing final UI mockups.

• Process Documentation: Provide insights into your design process, including how you integrate user research, iterative design, and cross-functional collaboration.

Process Documentation:

• Workflow Design & Optimization: Detail how you analyze existing workflows and design new ones that are efficient, user-friendly, and scalable, particularly for complex configurations.

• System Implementation Standards: Explain your approach to collaborating with engineering to ensure designs are implemented accurately and efficiently, including considerations for design systems and reusable components.

• Measurement & Performance Analysis: Illustrate how you define success metrics for your designs and how you use data (e.g., A/B testing, analytics) to measure performance and identify areas for improvement.

📝 Enhancement Note: The portfolio requirements are tailored to a senior UX role focusing on complex systems and AI. The emphasis is on demonstrating a strategic design process, problem-solving skills, and a proven ability to deliver measurable results, especially in the context of AI/ML features.

💵 Compensation & Benefits

Salary Range:

• Tier 1 (US): $129,000 - $193,000 USD per year

• Tier 2 (US): $144,000 - $216,000 USD per year

• Tier 3 (US): $158,000 - $238,000 USD per year

• Tier 5 (US): $180,000 - $270,000 USD per year (Note: Tier 4 is not specified for this role.)

• 📝 Enhancement Note: The salary ranges provided are specific to different US pay tiers, reflecting Indeed's compensation strategy based on geographic cost of labor. The actual offer will likely fall between the minimum and midpoint of the relevant tier, determined by skills, experience, and interview performance. This range is highly competitive for a Senior UX Designer role in the US, especially one focused on AI/ML.

Benefits:

• Quarterly Bonuses: Performance-based bonus structure.

• Restricted Stock Units (RSUs): Equity participation in the company's growth.

• Paid Time Off (PTO): Comprehensive policy for time off.

• Region-Specific Benefits: Additional benefits may be available based on the candidate's specific work location within the US.

Working Hours:

• Standard: 40 hours per week is the typical expectation for a full-time role.

• Flexibility: While a standard work week is expected, the fully remote nature of the role and the emphasis on iterative design and collaboration suggest a degree of flexibility, common in tech organizations, to manage work effectively across distributed teams.

📝 Enhancement Note: The benefits package is robust, including equity and performance bonuses, which are standard for senior roles in publicly traded tech companies like Indeed. The mention of "region-specific benefits" indicates a comprehensive total rewards program.

🎯 Team & Company Context

🏢 Company Culture

Industry: Online Employment Services / HR Technology / AI-Powered Recruitment Solutions

Company Size: Large (Indeed is a global leader in online recruitment, with a significant number of employees worldwide.)

Founded: 2004 (Indeed has a mature organizational structure and established processes, while still fostering innovation in areas like AI.)

Team Structure:

• Embedded Product Teams: Designers are typically embedded within specific product teams, working closely with Product Managers and Engineers.

• Cross-functional Collaboration: Expect to work with diverse roles including Product Management, Engineering (Frontend, Backend, AI/ML specialists), User Researchers, and potentially Marketing and Data Science.

• Distributed Teams: Collaboration will span across different time zones and locations, requiring strong asynchronous communication skills and robust documentation practices.

Methodology:

• Data-Driven Design: Strong emphasis on using user research, usability testing, and A/B testing to inform and validate design decisions.

• Agile/Iterative Development: Design and development cycles are likely iterative, requiring adaptability and the ability to respond to feedback and data.

• Systems-Oriented Approach: Focus on building scalable and cohesive user experiences across complex product suites.

• Human-Centered AI: A core principle is ensuring AI technologies are designed to be trustworthy, transparent, and beneficial for end-users.

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

📝 Enhancement Note: Indeed's culture is characterized by a blend of large-company stability and a drive for innovation, particularly in leveraging technology like AI to improve its core services. The company's mission to "help people get jobs" underscores a user-centric approach.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC) - UX Designer. This role is a key senior position within the design organization, responsible for leading design initiatives on critical product areas.

Reporting Structure: Likely reports to a Design Manager or Director of Product Design, with day-to-day collaboration within a product team led by a Product Manager.

Operations Impact: The Senior UX Designer will have a direct impact on the usability, adoption, and effectiveness of Indeed's AI-powered hiring automation tools. Successful designs will enhance employer efficiency, improve hiring outcomes, and contribute to job seeker fairness, all of which are core to Indeed's business objectives and revenue generation.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a subject matter expert in designing for AI/ML, a rapidly growing and high-demand field.

• Mentorship: Potential to mentor junior designers and contribute to the overall design practice at Indeed.

• Cross-Product Exposure: Possibility to contribute to various product initiatives within the hiring automation space.

• Career Progression: Path towards Principal UX Designer, Design Lead, or management roles within the design organization.

• Skill Development: Continuous learning in areas of AI ethics, advanced interaction patterns for AI, and user research methodologies for complex systems.

📝 Enhancement Note: This role offers significant growth potential for a designer specializing in complex, data-driven, and AI-centric products. The "Senior" title implies a high level of autonomy and influence.

🌐 Work Environment

Office Type: Fully Remote. This means no requirement to be in a physical office.

Office Location(s): United States. While the role is remote, candidates must be based within the United States to align with Indeed's defined pay tiers and operational structures.

Workspace Context:

• Home Office Setup: Candidates will be expected to maintain a productive and reliable home office environment.

• Digital Collaboration Tools: Extensive use of tools like Slack, Zoom, Google Workspace, Figma, and potentially specialized AI/ML collaboration platforms.

• Asynchronous Communication: A significant portion of collaboration will occur asynchronously, requiring clear written communication and proactive engagement.

• Team Interaction: Regular virtual team meetings, design critiques, and one-on-one sessions to foster connection and alignment.

Work Schedule:

• Core Hours: While fully remote, there will likely be expectations for availability during core business hours within US time zones for synchronous collaboration.

• Flexibility: The role's remote nature and focus on iterative design allow for flexibility in structuring the workday to optimize productivity, provided work is completed and team collaboration needs are met.

📝 Enhancement Note: The fully remote aspect is a key feature, offering flexibility but also demanding strong self-management and communication skills. Candidates should be prepared for a digitally-native work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Recruiter call to assess general qualifications, experience, and cultural fit.

• Hiring Manager Interview: Deeper dive into experience, technical skills, and understanding of AI/ML design principles.

• Portfolio Presentation & Design Challenge: A crucial stage where candidates present their portfolio, often including a specific design challenge or case study walkthrough relevant to AI/ML and employer tools. This assesses problem-solving, design process, and communication.

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

• Final Round: Potentially with senior leadership to discuss strategic impact and long-term vision.

Portfolio Review Tips:

• Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges faced, your solutions, and the outcomes achieved.

• Focus on AI/ML: Highlight your experience and insights in designing for AI-driven features, specifically addressing trust, transparency, and control.

• Showcase Systems Thinking: Use diagrams, flowcharts, or journey maps to illustrate your understanding of complex systems and end-to-end user experiences.

• Quantify Impact: Wherever possible, present data, metrics, or user feedback that demonstrates the positive impact of your design work.

• Be Prepared for Questions: Anticipate deep questions about your decision-making process, trade-offs, and how you handle ambiguity.

Challenge Preparation:

• Understand the Domain: Research Indeed's products, particularly their current AI offerings and the hiring automation landscape.

• Focus on the User: Identify potential user (employer) pain points and how AI can address them while maintaining trust.

• Structure Your Approach: Be ready to outline your design process, from understanding the problem to iterating on solutions, and present it clearly.

• Consider AI Ethics: Be prepared to discuss considerations around bias, fairness, and transparency in AI design.

📝 Enhancement Note: The interview process is designed to thoroughly assess a candidate's technical skills, strategic thinking, problem-solving abilities, and collaborative spirit, with a strong emphasis on their portfolio and experience in AI/ML design.

🛠 Tools & Technology Stack

Primary Tools:

• Interaction Design & Prototyping: Figma, Sketch (required proficiency).

• Collaboration & Communication: Slack, Zoom, Google Workspace (Docs, Sheets, Slides), Jira, Confluence.

• User Research & Testing Platforms: Tools like UserTesting.com, Maze, Lookback, or internal equivalents.

• Design Systems: Experience contributing to or working within established design systems.

Analytics & Reporting:

• Web Analytics: Familiarity with tools like Google Analytics or internal equivalents for understanding user behavior.

• A/B Testing Tools: Experience with platforms for running and analyzing experiments (e.g., Optimizely, VWO, or internal tools).

• Data Visualization: Ability to interpret and work with data presented in dashboards.

CRM & Automation:

• While not a direct CRM/Automation role, understanding how UX design impacts user engagement within these systems is beneficial. The product being designed is an "automation tool," so understanding workflow automation principles is key.

📝 Enhancement Note: Proficiency in industry-standard UX design tools like Figma and Sketch is essential. The role also requires comfort with a suite of collaboration, research, and analytics tools common in fast-paced tech environments.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the needs of both employers and job seekers.

• Innovation: Driving forward with new technologies like AI to enhance the job search and hiring experience.

• Trust & Transparency: Building products that users can rely on and understand, especially concerning automated decision-making.

• Collaboration: Working inclusively and effectively across diverse teams to achieve shared goals.

• Data-Driven Decisions: Utilizing insights from research and analytics to guide product development.

• Efficiency & Impact: Focusing on creating solutions that deliver measurable value and improve workflows.

Collaboration Style:

• Open Communication: Encouraging candid feedback and open dialogue within teams.

• Cross-functional Partnership: Working as a true partner with Product and Engineering, not as a silo.

• Inclusivity: Valuing diverse perspectives and ensuring all team members feel heard and respected.

• Knowledge Sharing: Actively sharing insights, best practices, and learnings within the design team and broader organization.

📝 Enhancement Note: Indeed emphasizes a culture of innovation, user focus, and strong collaboration. The values are particularly relevant to a role involving AI, where trust, transparency, and ethical considerations are paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: The primary challenge is creating user interfaces that foster confidence and understanding in complex, automated decision-making processes.

• Balancing Employer & Job Seeker Needs: Ensuring that AI automation benefits employers without compromising fairness or transparency for job seekers.

• Scalability of AI Configurations: Designing intuitive systems for configuring AI that can handle a wide range of employer preferences and business needs.

• Rapidly Evolving AI Landscape: Staying abreast of advancements in AI technology and ethics to ensure designs remain cutting-edge and responsible.

• Remote Collaboration Dynamics: Effectively contributing and collaborating within a distributed team environment, requiring proactive communication and asynchronous workflows.

Learning & Development Opportunities:

• Specialization in AI/ML UX: Deepen expertise in a highly sought-after niche within UX design.

• Industry Conferences & Webinars: Access to events focused on AI ethics, UX research, and product design.

• Internal Training & Workshops: Opportunities for continuous learning on new tools, methodologies, and product areas.

• Mentorship Programs: Guidance from experienced senior designers and leaders within Indeed.

• Contribution to Design Systems: Potential to influence and expand Indeed's design system for AI-driven products.

📝 Enhancement Note: This role presents opportunities to tackle some of the most complex and cutting-edge challenges in UX design today, particularly concerning AI. The growth opportunities are significant for those looking to build a career in this specialized area.

💡 Interview Preparation

Strategy Questions:

• AI Design Philosophy: "Describe your philosophy for designing AI-powered features, focusing on how you build trust and transparency for users." (Be ready to provide specific examples from your portfolio.)

• Systems Thinking Application: "Walk us through a complex system you designed. How did you ensure coherence across different user types and states?" (Focus on your process for mapping and managing complexity.)

• Problem Solving with Data: "How do you use user research and A/B testing data to inform and iterate on your designs, especially when dealing with ambiguous problems?" (Provide a case study where data significantly shifted your design direction.)

Company & Culture Questions:

• Indeed's Mission: "How does Indeed's mission to 'help people get jobs' resonate with your approach to UX design, particularly in the context of AI automation?"

• Collaboration Style: "Describe a time you had to collaborate with engineers or product managers who had different priorities. How did you resolve the conflict and achieve a shared goal?"

• AI Ethics: "What are the key ethical considerations when designing AI tools for hiring, and how would you address them?"

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, use a clear STAR (Situation, Task, Action, Result) or similar framework. Start with the problem, explain your role, detail your process and decisions, and conclude with the outcomes.

• Highlight AI/ML Experience: Dedicate significant time to showcasing your AI-specific projects. Clearly articulate the AI component, the user challenge related to it, and your design solutions.

• Visualize Your Process: Use diagrams, flowcharts, and wireframes to illustrate your thought process, information architecture, and user flows. Don't just show final polished screens.

• Be Ready for Deep Dives: Prepare to answer detailed questions about any aspect of your presented work, including trade-offs, challenges, and alternative solutions you considered.

• Demonstrate Passion: Show genuine enthusiasm for UX design, problem-solving, and the impact of your work, especially in the innovative field of AI.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of UX principles applied to complex, AI-driven products, highlighting systems thinking, data-driven decision-making, and strong collaboration skills.

📌 Application Steps

To apply for this Senior UX Designer position:

• Submit Your Application: Apply through the provided link on the Indeed careers site.

• Curate Your Portfolio: Select your strongest projects that best showcase your systems thinking, AI/ML design experience, problem-solving skills, and ability to drive measurable outcomes. Ensure it is well-organized and easy to navigate.

• Tailor Your Resume: Highlight keywords and responsibilities from the job description, particularly those related to AI/ML design, interaction design, systems thinking, and cross-functional collaboration. Quantify achievements where possible.

• Prepare Your Presentation: Practice delivering your portfolio presentation, focusing on storytelling, clarity, and articulating your design process and impact for each project. Be ready to adapt based on interviewer questions.

• Research Indeed: Familiarize yourself with Indeed's products, mission, and company culture, paying attention to their current use of AI and their commitment to user experience and fairness.

⚠️ 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.