Product UX Designer

📍 Job Overview

Job Title: Product UX Designer

Company: Rokt

Location: New York, New York, United States

Job Type: FULL_TIME

Category: Product Design / UX Design

Date Posted: 2026-05-13T05:28:30.404

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid (4 days in office)

🚀 Role Summary

• Design and deliver end-to-end user experiences across both traditional User Interface (UI) and emerging AI-powered (agentic) workflows, focusing on how users interact with data, automation, and personalization.

• Define and evolve interaction patterns for AI-driven features, ensuring scalability, intuitiveness, and intelligence across Rokt's product suite.

• Translate complex Machine Learning (ML) model outputs and data-driven insights into user-centered product experiences that are explainable and trustworthy.

• Leverage AI design and testing techniques to rapidly build prototypes and scale User Acceptance Testing (UAT), enhancing design velocity and creative range.

• Maintain a high bar for craft and quality by building and iterating on scalable systems, patterns, and components, while also mentoring other designers.

📝 Enhancement Note: This role sits at the intersection of traditional Product UX Design and cutting-edge AI/ML product development. The emphasis on "agentic workflows" and "AI Brain" indicates a focus on designing systems that act autonomously or semi-autonomously, requiring designers to think about trust, explainability, and human-in-the-loop interactions. The "ecommerce leader" context suggests that design decisions must directly impact revenue generation and customer engagement within a transactional environment.

📈 Primary Responsibilities

• Design and deliver end-to-end user experiences across traditional UI and AI-powered workflows, defining and evolving interaction patterns for automation, human-in-the-loop systems, recommendation engines, and smart assistants.

• Translate complex ML model outputs and data-driven insights into intuitive, user-centered product experiences that are explainable, trustworthy, and drive user adoption.

• Build and maintain scalable design systems, patterns, and components to ensure consistency, quality, and efficiency across Rokt’s product suite.

• Define and evolve UX standards specifically for AI features, ensuring adherence to accessibility, ethical design principles, and user trust.

• Utilize AI tools (e.g., generative design, LLM-assisted synthesis, AI prototyping) throughout the design process to increase velocity, creative exploration, and UAT effectiveness.

• Collaborate closely with cross-functional teams, including product managers, engineers, and data scientists, to understand technical constraints and business objectives.

• Experiment with and evaluate emerging AI design tools, advocating for those that meaningfully improve the team’s output quality or speed.

• Conduct user research, usability testing, and A/B testing to validate design decisions and iterate on product improvements.

• Mentor junior designers and contribute to raising the overall bar for design craft and quality within the team.

📝 Enhancement Note: The responsibilities highlight a proactive approach to integrating AI into the design workflow. Designers are expected not only to design for AI but also to use AI as a tool to enhance their own productivity and creative output. The emphasis on "systems thinking" and "scalable systems, patterns, and components" points towards a need for a designer who can contribute to foundational design elements that support a growing product ecosystem.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is generally expected for roles of this seniority. Relevant certifications or equivalent practical experience will also be considered.

Experience:

Required Skills:

• Portfolio: A strong portfolio demonstrating a user-centered design process, exceptional UI design skills, and evidence of measurable business or user outcomes, including at least one significant AI or data-driven product experience.

• AI Design & Integration: Hands-on experience using AI tools within the design workflow, including generative design tools, LLM-assisted research synthesis, and AI-powered prototyping for rapid iteration and UAT.

• Design Tools: Proficiency in Figma, with a keen eye for visual design aesthetics and interaction quality.

• Systems Thinking: Ability to approach design challenges with a holistic, systems-level perspective, understanding how individual components contribute to the overall user experience and business goals.

• Collaboration: Proven ability to work effectively across cross-functional teams (Product, Engineering, Data Science) in a fast-paced, agile environment.

• User-Centered Design: Deep understanding of user-centered design principles, methodologies, and best practices.

• Problem Solving: Strong analytical and problem-solving skills, with a bias for action and a proactive approach to unblocking challenges.

• Communication: Excellent verbal and written communication skills, with the ability to articulate design decisions and rationale clearly to diverse stakeholders.

Preferred Skills:

• Working knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) to facilitate effective collaboration with engineers.

• Experience defining and evolving UX standards for AI features, including considerations for accessibility, ethics, and explainability.

• Ability to translate complex ML model outputs and data insights into intuitive and trustworthy user experiences.

• Experience mentoring junior designers and contributing to design team growth.

📝 Enhancement Note: The requirement for a portfolio demonstrating "measurable business or user outcomes" is critical. Candidates should be prepared to showcase how their design work directly impacted key performance indicators (KPIs) such as user adoption, conversion rates, efficiency gains, or revenue. The specific mention of "AI or data-driven product experience" in the portfolio is a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Detailed case studies showcasing end-to-end product design projects, with a specific emphasis on at least one AI or data-driven product experience. Each case study should articulate the problem, your role, the process followed, design solutions, and the quantifiable outcomes achieved.

• Process Documentation: Clear demonstration of your user-centered design process, including research methodologies, ideation techniques, wireframing, prototyping, and usability testing. Highlight how you gathered insights and iterated based on feedback.

• System Design: Evidence of experience in designing scalable systems, patterns, and components, showcasing consistency and quality across multiple product touchpoints. This could include contributions to design systems or style guides.

• AI/ML Integration: Projects that illustrate your ability to translate complex ML outputs and data insights into intuitive user experiences, and how you've leveraged AI tools within your design workflow.

• Outcome Metrics: Quantifiable results demonstrating the impact of your design work on user behavior, business objectives, or key performance indicators.

Process Documentation:

• Workflow Design & Optimization: Showcase examples of how you've mapped out user flows, identified pain points, and designed streamlined workflows, particularly in the context of automation or AI-assisted tasks.

• Implementation & Automation: Illustrate how your designs have been implemented and how they contribute to automation, efficiency, or enhanced user engagement.

• Measurement & Analysis: Demonstrate how you've used data and user feedback to measure the success of your designs and identify areas for further optimization.

📝 Enhancement Note: For this role, the portfolio should not just be a collection of pretty screens. It needs to tell a story about problem-solving, strategic thinking, and impact. Candidates should be ready to discuss their design rationale, trade-offs made, and how their work contributed to Rokt's business objectives, especially in the context of AI and data.

💵 Compensation & Benefits

Salary Range: $157,000 - $255,000 annually. This range is composed of a fixed annual salary of $140,000 - $215,000 plus an employee equity plan grant.

Benefits:

• Equity: Employee equity plan grant, offering the opportunity to become a shareholder in Rokt.

• Professional Development: Access to the "LevelUp!" program for coaching, courses, and training to support career growth and development.

• Wellness & Food: Catered lunch daily, healthy snacks in the office, and a subsidized gym membership.

• Financial: Generous 401K matching plan (4% dollar-for-dollar matching).

• Health: Fully funded premium health insurance coverage.

• Workplace Perks: Dog-friendly office environment.

• Leave: Opportunities for extra leave, including bonus annual leave and sabbatical leave.

• Team: Opportunity to work with talented individuals in a dynamic environment.

• Global Presence: Offices in New York, Seattle, Sydney, Tokyo, and London.

• Remote Flexibility: Up to one week per quarter of remote work flexibility.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility in managing personal hours and the ability to work remotely for up to one week per quarter. Teams are expected to be in the office 4 days per week.

📝 Enhancement Note: The salary range is competitive for a senior Product UX Designer role in New York City, especially considering the inclusion of equity. The benefits package is comprehensive, emphasizing professional development, wellness, and financial security, which are attractive perks for experienced professionals. The hybrid work model with 4 days in-office provides a structured yet flexible environment. The salary estimate is based on the provided range and typical market rates for similar roles in NYC.

🎯 Team & Company Context

🏢 Company Culture

Industry: Ecommerce Technology / AI & Machine Learning. Rokt operates at the forefront of ecommerce, leveraging AI to deliver real-time relevance and incremental revenue for its partners. This places it in a high-growth, data-intensive, and rapidly evolving technology sector.

Company Size: Rokt is a hyper-growth company. While the exact current size isn't specified, it operates globally with offices in major tech hubs, indicating a significant and scaling organization. This size typically means a dynamic environment with opportunities for impact but also requires adaptability and efficiency.

Founded: Rokt was founded with a mission to enhance ecommerce experiences and unlock incremental revenue. Its history is rooted in innovation and leveraging technology to create economic advantages for businesses.

Team Structure:

• Operations: The Product UX Designer will likely be part of a broader Product or Design team, working closely with Product Managers, Engineers, and Data Scientists.

• Reporting: The reporting structure will likely be to a Design Lead, Head of Product, or a similar senior management role within the product development organization.

• Collaboration: Expect close, cross-functional collaboration. The role emphasizes working across teams and problem spaces, indicating a highly integrated development process where designers are key contributors from ideation through to launch and iteration.

Methodology:

• Data-Driven Insights: The company's reliance on AI and "AI Brain" suggests a strong emphasis on data analysis and using ML outputs to inform product decisions and user experiences.

• Agile Development: The mention of fast-paced, agile environments implies iterative development cycles, rapid prototyping, and continuous feedback loops.

• Innovation: As a leader in ecommerce and AI, Rokt fosters an innovative culture, encouraging experimentation with new technologies and design approaches.

Company Website: https://rokt.com/

📝 Enhancement Note: Rokt's culture appears to value innovation, data-driven decision-making, and a collaborative, fast-paced approach to product development. The emphasis on AI and its integration into both the product and the design process itself suggests a forward-thinking organization that embraces technological advancements. The company's "hyper-growth" status implies a dynamic and potentially demanding environment, but also one with significant opportunities for impact and career advancement.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Senior Level role (5-10 years of experience), indicating a designer expected to contribute independently, take ownership of significant product areas, and possess a strong command of design principles and tools. They are expected to not just execute but also to define and evolve design standards and patterns.

Reporting Structure: The designer will likely report into a design leadership role (e.g., Design Manager, Head of Design/Product) but will work closely with Product Managers and Engineering Leads on a day-to-day basis. This structure facilitates direct contribution to product strategy and execution.

Operations Impact: The role directly impacts revenue by designing user experiences that drive customer activation, personalization, adoption, efficiency, and ultimately, incremental revenue. The designer's work is crucial in translating complex AI/ML capabilities into tangible business value and user benefits within the ecommerce context.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI/ML product design, generative design tools, and advanced UX methodologies for complex data platforms.

• Leadership Development: Potential to mentor junior designers, lead design initiatives for key product areas, and contribute to shaping the design team's strategy and processes.

• Cross-Functional Influence: Opportunity to influence product strategy and roadmap by bringing user-centric perspectives and innovative design solutions to the table, particularly in AI integration.

• Career Progression: Potential to advance to Senior Product Designer, Lead Product Designer, or Product Design Manager roles, depending on performance and organizational needs.

• Industry Exposure: Work with cutting-edge AI/ML technologies in the high-growth ecommerce sector, building a valuable skill set and experience base.

📝 Enhancement Note: The role offers significant potential for growth, especially for designers interested in specializing in AI/ML product design. The emphasis on "raising the overall bar for craft and quality" and "mentoring others" suggests a pathway towards leadership. The company's hyper-growth nature also implies that new opportunities for advancement may emerge rapidly.

🌐 Work Environment

Office Type: Rokt maintains modern office spaces in major tech hubs. The New York office is described as dog-friendly and offers amenities like catered lunches and healthy snacks, fostering a comfortable and collaborative atmosphere.

Office Location(s): The primary location for this role is New York, New York, United States. Rokt also has offices in Seattle, Sydney, Tokyo, and London, indicating a global presence and potential for cross-office collaboration.

Workspace Context:

• Collaborative Environment: The office setting is designed to encourage interaction, with teams in the office 4 days per week. This facilitates spontaneous discussions, brainstorming, and team cohesion.

• Tools & Technology: Access to industry-standard design tools (Figma) and likely other collaboration and project management software. The company's focus on AI means designers will be encouraged to experiment with and utilize AI-assisted design tools.

• Team Interaction: Opportunities for frequent interaction with product managers, engineers, data scientists, and fellow designers, fostering a dynamic and knowledge-sharing environment.

Work Schedule: A hybrid work model is in place, requiring 4 days per week in the New York office. This offers a balance between in-person collaboration and personal flexibility. While specific daily hours aren't fixed, the expectation is ~40 hours per week, with flexibility to manage personal hours.

📝 Enhancement Note: The hybrid model is designed to balance the benefits of in-office collaboration and team building with the flexibility employees value. The office environment is a key component of their culture, emphasizing in-person interaction for innovation and team spirit, while still allowing for some remote work flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Aptitude Test: The first stage involves a 15-minute online aptitude test, which will be automatically sent to applicants via email. This likely assesses foundational cognitive and design-related skills.

• Hiring Manager/Team Screen: Successful candidates will be contacted for an initial conversation, likely with a hiring manager or senior designer, to discuss experience, motivation, and fit.

• Design Challenge/Case Study Presentation: A significant part of the process will involve a design challenge or a deep dive into portfolio case studies. Candidates will be expected to present their work, explain their design process, and discuss how they've handled complex problems, particularly those involving data or AI.

• Cross-Functional Interviews: Interviews with product managers, engineers, and potentially other stakeholders to assess collaboration skills, technical understanding, and ability to integrate design into the broader product development lifecycle.

• Final Interview: A final conversation, often with a senior leader, to discuss overall fit, long-term vision, and confirm alignment with the team and company culture.

Portfolio Review Tips:

• Focus on AI/Data: Clearly highlight projects that demonstrate your experience with AI, ML, or complex data platforms. Explain the unique challenges and solutions involved.

• Show Your Process: Detail your user-centered design methodology. Use visuals (wireframes, user flows, prototypes) to illustrate your thinking and iteration stages.

• Quantify Impact: Present measurable outcomes. Use metrics to show how your designs solved problems, improved user experience, or contributed to business goals (e.g., increased conversion, reduced time-on-task, higher engagement).

• Explain Your Role: Be specific about your contributions, especially in team projects. Articulate your decision-making rationale.

• Demonstrate Craft: Showcase high-quality UI design, interaction patterns, and attention to detail. Ensure visual consistency and polish.

• Tell a Story: Structure your portfolio around compelling narratives for each case study, making it engaging and easy to follow.

Challenge Preparation:

• Understand the Context: Research Rokt's business, products, and target users. Consider their position as an "ecommerce leader" leveraging "AI Brain."

• Practice AI/Data Scenarios: Be prepared for design challenges that involve translating data into actionable insights or designing interfaces for AI-driven features. Think about explainability, trust, and human-in-the-loop interactions.

• Prototype Quickly: Familiarize yourself with rapid prototyping tools (like Figma) and be ready to create interactive mockups under time constraints.

• Articulate Trade-offs: Be ready to discuss the design decisions you made, the constraints you faced (technical, business, time), and the trade-offs you considered.

• Think Systemically: Demonstrate an understanding of how your proposed solutions fit into a larger product ecosystem and design system.

📝 Enhancement Note: The initial aptitude test suggests a screening mechanism to filter candidates based on fundamental skills. The emphasis on portfolio review and a potential design challenge indicates that Rokt values practical application and problem-solving abilities. Candidates should prepare to articulate how they use AI in their workflow and how they design for AI-powered products.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Proficiency is a must.

• AI Design Tools: Experience with generative design tools, LLM-assisted synthesis, and AI-powered prototyping tools is highly valued and expected. Examples might include tools that leverage AI for ideation, content generation, or rapid iteration.

• Prototyping Tools: Beyond Figma's capabilities, familiarity with other advanced prototyping tools may be beneficial.

Analytics & Reporting:

• Data Visualization Tools: While not explicitly listed, experience with tools like Tableau, Power BI, or Looker could be advantageous for understanding and translating data-driven insights into design.

• Analytics Platforms: Familiarity with web analytics platforms (e.g., Google Analytics, Adobe Analytics) to understand user behavior and measure design impact.

CRM & Automation:

• CRM Systems: Understanding how CRM systems (e.g., Salesforce) integrate with user experiences, especially in an ecommerce context, can be helpful.

• Automation Platforms: Awareness of workflow automation principles and how UX design can support or enhance automated processes.

📝 Enhancement Note: The explicit mention of using AI tools in the design workflow is a key differentiator. While Figma is standard, the expectation to leverage AI for design tasks is significant. This suggests Rokt is at the cutting edge of design tooling and expects its designers to be as well.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Leadership: A culture that embraces cutting-edge technology, particularly AI and ML, and encourages designers to explore and integrate these advancements into products and workflows.

• User-Centricity with Business Acumen: A strong focus on understanding user needs and delivering intuitive experiences, balanced with a clear understanding of business objectives, especially driving incremental revenue.

• Collaboration & Ownership: A team-oriented environment where individuals take ownership of their work, collaborate effectively across disciplines, and contribute to a shared sense of purpose.

• Efficiency & Speed: A "bias for action" and a commitment to working quickly and iterating rapidly, leveraging tools and methodologies to achieve high velocity.

• Continuous Learning: An environment that supports professional development through programs like "LevelUp!" and encourages experimentation with new tools and techniques.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to work seamlessly with Product Managers, Engineers, and Data Scientists, acting as a bridge between user needs, business goals, and technical feasibility.

• Open Communication: A culture that values open feedback, constructive criticism, and knowledge sharing to elevate the quality of design and product outcomes.

• Iterative Design: A collaborative approach to design where prototypes are shared early and often, and feedback is actively sought and incorporated into subsequent iterations.

📝 Enhancement Note: The company culture seems to revolve around rapid innovation, data-driven decision-making, and a strong collaborative spirit, all within the context of driving ecommerce growth. The emphasis on AI integration is a defining characteristic.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating fast-paced environments with evolving requirements and integrating novel AI technologies where best practices are still emerging.

• Balancing Innovation with Scalability: Creating cutting-edge AI experiences while ensuring they are scalable, maintainable, and integrate seamlessly with existing systems and design patterns.

• Translating Complex AI into Usability: Effectively communicating the capabilities and outputs of complex ML models to end-users in an intuitive, trustworthy, and actionable manner.

• Ethical AI Design: Ensuring AI-driven features are developed and deployed responsibly, considering fairness, transparency, and potential biases.

• Rapid Tool Adoption: Staying abreast of and effectively integrating new AI design tools and techniques into established workflows to maintain a competitive edge.

Learning & Development Opportunities:

• AI/ML Design Specialization: Gaining deep expertise in designing for AI, ML, and agentic systems, a highly sought-after skill set.

• System Design Mastery: Contributing to and refining design systems and scalable patterns for a growing product suite.

• Leadership & Mentorship: Opportunities to lead design initiatives and mentor junior talent, developing leadership capabilities.

• Industry Exposure: Working with leading companies in the ecommerce and AI space, building a strong professional network and market relevance.

• Formal Training: Leveraging the "LevelUp!" program for structured coaching, courses, and training to enhance both technical and soft skills.

📝 Enhancement Note: The challenges presented are inherent to working with advanced technologies like AI in a hyper-growth environment. The growth opportunities are substantial for a designer looking to specialize in this cutting-edge field and gain leadership experience.

💡 Interview Preparation

Strategy Questions:

• AI Integration Strategy: "How would you approach designing an AI-powered recommendation system for an ecommerce platform to maximize conversion rates while ensuring user trust?" (Prepare to discuss user research, data interpretation, interface design, feedback loops, and ethical considerations.)

• Process Optimization: "Describe a time you used AI tools to significantly accelerate your design process or expand your creative range. What were the challenges and outcomes?" (Focus on specific AI tools used, the impact on your workflow, and lessons learned.)

• Problem-Solving with Data: "Imagine we have data showing a drop in user engagement with a specific feature. How would you use design thinking and potentially AI insights to diagnose and address this issue?" (Be ready to outline a structured problem-solving approach, including user research, hypothesis generation, and potential design solutions.)

Company & Culture Questions:

• Culture Fit: "What interests you most about Rokt's approach to AI in ecommerce?" (Research Rokt's mission, products, and AI strategy. Articulate alignment with your own interests and career goals.)

• Collaboration & Teamwork: "How do you typically collaborate with engineers and product managers when designing complex features, especially those involving new technology like AI?" (Provide specific examples of your collaborative process and how you handle disagreements or differing perspectives.)

• Impact Measurement: "How do you measure the success of your UX designs, particularly in a revenue-generating context like ecommerce?" (Discuss your approach to defining KPIs, conducting A/B tests, and presenting impact data.)

Portfolio Presentation Strategy:

• Narrative Structure: For each case study, start with the problem statement and business context, clearly define your role and responsibilities, detail your design process, showcase key design artifacts (wireframes, mockups, user flows), explain your rationale, and conclude with the measurable outcomes and lessons learned.

• Highlight AI/Data Projects: Dedicate significant time to your AI or data-driven product experiences. Explain the unique challenges and how you leveraged AI or data to inform your design decisions and achieve results.

• Focus on Impact: Emphasize quantifiable results and business value. Use data points and metrics to demonstrate the effectiveness of your design solutions.

• Interactive Walkthrough: Be prepared to navigate your portfolio live, explaining your thought process in real-time and answering probing questions about your decisions.

• Technical Proficiency: Be ready to discuss your proficiency with Figma and any AI design tools you've utilized, explaining how they aided your work.

📝 Enhancement Note: The interview process emphasizes practical application, strategic thinking, and the ability to articulate design decisions and their impact, particularly in the context of AI and revenue generation. Candidates should prepare robust examples that demonstrate their end-to-end design process and quantifiable results.

📌 Application Steps

To apply for this Product UX Designer position:

• Submit Your Application: Complete the application through the provided link on Workable.

• Prepare Your Portfolio: Curate a strong portfolio that prominently features at least one AI or data-driven product experience. Ensure case studies clearly articulate your process, role, and measurable outcomes.

• Optimize Your Resume: Tailor your resume to highlight your 5+ years of experience in UX/Product Design, specifically mentioning SaaS, AI/ML products, and proficiency in Figma. Use keywords like "user-centered design," "systems thinking," "AI design," and "prototyping."

• Practice for the Aptitude Test: Be ready to complete a 15-minute online aptitude test promptly upon receiving the email invitation.

• Research Rokt: Familiarize yourself with Rokt's products, mission, and their innovative use of AI in the ecommerce space. Understand their market position and business objectives.

• Prepare for Case Study Presentation: Rehearse presenting your portfolio case studies, focusing on clear storytelling, design rationale, and quantifiable impact, especially for AI-related projects.

⚠️ 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.