Senior Product Designer, AI

📍 Job Overview

Job Title: Senior Product Designer, AI

Company: Lattice

Location: Remote, US

Job Type: Full-time

Category: Product Design / AI Product Development

Date Posted: 2026-06-05T20:37:39

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Lead the design and development of cutting-edge AI-native features and user experiences within Lattice's unified people platform.

• Drive the end-to-end design process for AI-powered tools that reimagine how users capture work and growth, ensuring alignment with business objectives and manager guidance.

• Foster a collaborative and experimental environment, working closely with Product, Engineering, Data Science, and customers to shape and ship innovative AI solutions.

• Champion design thinking and best practices in a rapidly evolving AI landscape, pushing the boundaries of what's possible in B2B SaaS.

📝 Enhancement Note: This role is positioned within a new, experimental AI team at Lattice, indicating a significant opportunity for impact and innovation. The emphasis on "builders" and comfort with ambiguity suggests a fast-paced, startup-like environment within a growing company. The core focus is on creating novel AI experiences, not just integrating existing AI tools.

📈 Primary Responsibilities

• Design and prototype AI-powered features, including AI-assisted workflows, chat interfaces, and intelligent agents, that enhance user productivity and growth tracking.

• Translate complex AI concepts and outputs into intuitive, user-friendly interfaces, ensuring a cohesive and positive user experience across multiple personas (managers, employees, HR leaders).

• Develop and refine AI output quality, tone, formatting, and error handling mechanisms (e.g., for hallucinations, confidence levels, citations, fallbacks) to build trust and ensure graceful failure.

• Collaborate closely with Product Management and Engineering to define product strategy, identify key user problems, and translate user needs into actionable design solutions.

• Partner with Data Science and Engineering to fine-tune AI model outputs, ensuring they align with desired user experiences and business outcomes.

• Contribute to the development of a cohesive system for AI experiences across the entire Lattice product suite, preventing fragmentation and ensuring a unified brand voice.

• Conduct user research, usability testing, and validation activities with customers and internal stakeholders to iterate on AI designs and ensure product-market fit.

• Stay abreast of the latest AI technologies, design patterns, and industry trends, proactively experimenting with new tools and techniques to enhance the design process and product capabilities.

• Actively participate in design critiques, provide constructive feedback to peers, and advocate for design excellence within the team and across the organization.

• Define and maintain a consistent AI voice, tone, and persona to ensure AI interactions feel coherent and integrated, not like disparate features.

📝 Enhancement Note: The responsibilities emphasize a "0 to 1" product development mindset, requiring designers to not only create interfaces but also deeply influence the AI output itself. This includes defining AI voice and tone, managing non-deterministic outputs, and iterating on AI-generated content. The role requires a strong understanding of B2B SaaS workflows and the ability to integrate AI seamlessly into complex, existing processes.

🎓 Skills & Qualifications

Education:

• Formal education in Graphic Design, Product Design, Human-Computer Interaction, or a related field is preferred, but not strictly required if equivalent practical experience can be demonstrated. Experience:

• 3 to 5+ years of professional product design experience, with a significant portion dedicated to designing and shipping AI-powered experiences (e.g., chat interfaces, AI assistants, AI-driven workflows).

• Demonstrated experience designing for non-deterministic systems, including a strong point-of-view on managing AI output quality, trust, and graceful failure mechanisms.

• Proven track record of bringing new experiences to life through a full design lifecycle: hypothesis formation, prototyping, validation, iteration, and shipping to production.

• Experience designing within complex, multi-product SaaS workflows and integrating new functionalities without disrupting existing user experiences. Required Skills:

• AI Design Expertise: Designing AI-powered experiences, understanding AI output quality, handling non-deterministic outputs, designing for trust and graceful failure, AI voice and tone definition.

• UX Craft: Problem shaping, user journey mapping, mental model creation, edge case identification, cognitive load reduction, and defining jobs-to-be-done.

• Visual & Interaction Design: Advanced skills in typography, hierarchy, spacing, responsive layouts, detailed interaction pattern design, and creating high-fidelity UI mockups.

• Prototyping & Iteration: Ability to rapidly prototype in code or using advanced prototyping tools, and a strong iterative approach driven by user feedback and data.

• Collaboration & Communication: Excellent written and verbal communication skills, ability to articulate customer challenges and design decisions clearly, strong partnership with Product and Engineering teams.

• Ambiguity Tolerance: Comfort with ambiguity, ability to self-start, drive discovery, and adapt to fast-paced, shifting project requirements.

Preferred Skills:

• Experience designing AI-native products at significant scale (high volume traffic, large user bases).

• Experience in a hybrid role (e.g., Design & Product, Design & Engineering) or equivalent background.

• Experience in B2B SaaS environments.

• Familiarity with front-end implementation (HTML/CSS) for better collaboration with engineering.

• Experience using modern AI tools (e.g., Claude, Cursor) and coding agents to accelerate the design process.

• Experience working with established design systems and contributing to their evolution.

📝 Enhancement Note: The "note on your portfolio" explicitly requests case studies that demonstrate shaping AI output, not just interface design. This is a critical differentiator for this role and should be a primary focus for applicants. The emphasis on "builder mindset" and "prototyping in code" suggests a hands-on role that bridges design and early-stage development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Output Case Studies: Detailed case studies showcasing your process for designing and refining AI outputs. This should include examples of how you influenced AI quality, tone, formatting, and handled edge cases and non-deterministic behavior.

• End-to-End Product Design: Demonstrations of your entire design process, from initial problem definition and user research to final shipped product, highlighting your ability to drive impact.

• Complex Workflow Design: Examples of designing scalable, durable, and complex workflows, particularly within B2B SaaS contexts, showing how you integrated new features like AI without disrupting existing user journeys.

• System Thinking: Evidence of your ability to design for cohesive systems, especially how AI experiences integrate across a broader product suite, maintaining consistency and avoiding fragmentation.

• Prototyping & Validation: Prototypes (ideally interactive or coded) that demonstrate interaction patterns, and documentation of validation processes (user testing, A/B testing, beta programs) that informed your design decisions.

Process Documentation:

• AI Integration Workflows: Documented processes for how you collaborate with Product, Engineering, and Data Science to define, design, and iterate on AI features, including feedback loops for AI output refinement.

• Design System Contributions: Examples of how you've leveraged existing design systems and, where necessary, proposed and designed new components or patterns to accommodate AI-native interactions.

• User Research & Validation Cycles: Clear outlines of user research methodologies employed and how findings were translated into design iterations and product improvements, with a specific focus on validating AI functionality and user trust.

• Agile Development Collaboration: Demonstrations of your ability to work within agile development sprints, contributing to sprint planning, providing clear design specifications, and collaborating closely with engineering for high-quality execution.

📝 Enhancement Note: The portfolio requirement is highly specific to AI design. Applicants must showcase their ability to go beyond traditional UI/UX and demonstrate a deep understanding of shaping AI-generated content and interactions. This requires detailed documentation of the iterative process involved in fine-tuning AI outputs and ensuring user trust.

💵 Compensation & Benefits

Salary Range:

• Estimated Annual Cash Salary: $136,000 - $170,000 USD.

• This range is an estimate provided by Lattice and may vary based on location, candidate experience, and skills. Benefits:

• Health & Wellness: Medical, Dental, and Vision Insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps.

• Time Off & Leave: Paid Parental Leave, Paid Time Off (inclusive of holidays and sick time).

• Work Flexibility & Stipends: Internet and Phone Stipend, One-time WFH Office Set-Up Stipend.

• Commuting & Office Perks: Commuter & Parking Accounts, Lunches in the Office.

• Financial & Retirement: 401(k) Retirement Plan, Financial Planning.

• Professional Development: Learning & Development Budget.

• Equity: Eligible for incentive stock options, subject to plan terms.

Working Hours:

• Standard full-time working hours are expected, typically around 40 hours per week, with flexibility inherent in a remote, results-oriented environment.

📝 Enhancement Note: The salary range is explicitly stated and includes a caveat about potential variations. The comprehensive benefits package highlights Lattice's commitment to employee well-being and professional growth, which is attractive to senior-level professionals. The inclusion of incentive stock options suggests potential for equity participation. The salary estimation methodology for this role would involve benchmarking against similar Senior Product Designer roles with AI specialization in remote US markets, considering the company's growth stage and industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: B2B SaaS, Talent Management Software, HR Technology.

Company Size: Growing, with a product design team of approximately 13 members. The broader company supports over 5,000 customers globally.

Founded: 2016. Lattice has established itself as a prominent player in the talent management space, now expanding significantly into AI-native product development.

Team Structure:

• The Product Design team is approximately 13 individuals, encompassing Brand Design, Product Design, and Research.

• This role will join a new, experimental AI team, suggesting a smaller, agile, and highly collaborative sub-team structure.

• Close collaboration with cross-functional partners (Product Management, Engineering, Data Science) is a core tenet of the team's operating model. Methodology:

• Experimental & Iterative: The AI team is described as "experimental," emphasizing a culture of rapid prototyping, validation, and iteration, particularly given the novelty of AI in this domain.

• Customer-Centric: A strong focus on understanding and serving customer needs through design, involving customers in validation and beta programs.

• Data-Informed: While not explicitly detailed, the involvement of a Data Science team implies a data-driven approach to product development and performance measurement.

• Holistic Thinking: Emphasis on ensuring high-quality experiences and holistic thinking through close cross-functional partnerships.

Company Website: https://lattice.com/

📝 Enhancement Note: Lattice's mission to "build cultures where employees and their companies thrive" suggests a people-centric culture that extends internally. The company's growth from 2016 to supporting 5,000+ customers indicates a successful product-market fit and a trajectory of innovation, now heavily focused on AI. The new AI team structure implies an internal startup environment where individual contributions can have a significant impact.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer (5-10 years experience). This level implies a high degree of autonomy, strategic thinking, and the ability to lead complex projects and mentor junior designers. The specific focus on AI means this role is at the forefront of a critical new domain for Lattice.

Reporting Structure:

• While not explicitly stated, Senior Product Designers typically report to a Design Lead, Head of Design, or Director of Product.

• Within the new AI team, the designer will work side-by-side with Product Managers, Engineering Leads, and Data Scientists, forming a core product development pod. Operations Impact:

• This role has the potential for immense impact by shaping the future of Lattice's AI-native product suite. Success will directly influence user engagement, product adoption, customer retention, and the company's competitive advantage in the talent management space.

• By designing AI experiences that truly augment user jobs, this role can drive significant improvements in productivity and employee growth, directly impacting the "bottom line" for Lattice's customers. Growth Opportunities:

• AI Specialization: Deepen expertise in AI product design, becoming a go-to authority within Lattice and potentially the broader industry.

• Leadership Potential: Opportunity to grow into a Design Lead or Manager role as the AI team expands, potentially mentoring other designers and shaping the team's strategic direction.

• Cross-Functional Influence: Develop strong partnerships and influence across Product, Engineering, and Data Science, contributing to broader product strategy.

• Skill Expansion: Opportunity to learn and apply new AI technologies, tools, and methodologies, potentially including contributions to product definition beyond pure design.

• Career Path: Potential to move into Product Management or specialized AI roles within the company, leveraging a deep understanding of user needs and AI capabilities.

📝 Enhancement Note: The "Senior" title, combined with the "new, experimental team" and "AI-native product suite" focus, strongly suggests a role with high visibility and significant potential for individual impact and career advancement. This is an opportunity to be a foundational member of a key strategic initiative.

🌐 Work Environment

Office Type: Fully Remote. This allows for a flexible work environment, accessible to top talent across the United States.

Office Location(s): Remote, US. Lattice operates across various US time zones, requiring effective asynchronous communication and collaboration.

Workspace Context:

• Collaborative & High-Trust: The company emphasizes a high-trust, collaborative environment where team members are empowered to take ownership and drive initiatives.

• Tools & Technology: Access to modern design and collaboration tools is expected. The role also involves experimenting with and potentially defining the use of new AI tooling within the design process.

• Cross-Functional Interaction: Daily interaction with Product Managers, Engineers, Data Scientists, and potentially Research teams will be integral to the role, fostering a dynamic and integrated work environment.

Work Schedule:

• While full-time, the remote nature offers flexibility in managing work hours, with an emphasis on results and effective asynchronous communication. Collaboration across US time zones will require some overlap and thoughtful scheduling.

📝 Enhancement Note: The fully remote nature is a key aspect, requiring candidates to be self-disciplined and proficient in remote collaboration tools and strategies. The emphasis on "pushing our tech stack" and "prototyping in code" suggests a forward-thinking environment that embraces new technologies and workflows.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a conversation with a recruiter to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Exercise: A deep dive into your portfolio, focusing on AI design case studies. You may be asked to present specific examples and discuss your process in detail. A design challenge, potentially focused on an AI-related problem, is probable.

• Cross-Functional Interviews: Discussions with Product Managers, Engineering Leads, and potentially Data Scientists to assess collaboration skills, technical understanding, and strategic thinking.

• Hiring Manager Interview: A final conversation with the hiring manager to evaluate overall fit, leadership potential, and alignment with team goals.

Portfolio Review Tips:

• Highlight AI Case Studies: As explicitly requested, dedicate significant space to AI-specific projects. Detail your process for shaping AI outputs, managing ambiguity, and designing for trust.

• Show, Don't Just Tell: Use visuals, prototypes, and clear narratives to demonstrate your problem-solving approach and design craft.

• Articulate Trade-offs: Be prepared to discuss the thoughtful trade-offs you made during the design process, especially in the context of AI's complex and evolving nature.

• Emphasize Builder Mindset: Showcase instances where you went beyond traditional design tasks, perhaps by prototyping in code or contributing to product definition.

• Quantify Impact: Where possible, use data or metrics to illustrate the success and impact of your designs.

Challenge Preparation:

• AI Design Principles: Review core principles of AI interaction design, including prompt engineering basics, managing non-deterministic outputs, and designing for transparency and trust.

• Lattice Product Understanding: Familiarize yourself with Lattice's current product suite and its mission in talent management. Consider how AI could realistically enhance these areas from a user's perspective.

• Problem-Solving Framework: Develop a structured approach to tackling design challenges, focusing on clarifying the problem, exploring solutions, and justifying your decisions.

• Communication Skills: Practice articulating your thought process clearly and concisely, especially when explaining complex AI concepts or design decisions.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to handle AI design challenges. Be ready to demonstrate not just UI/UX skills but also a strategic understanding of AI's capabilities and limitations, and how to translate them into valuable user experiences. The portfolio is the primary tool for showcasing this.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma (highly probable given industry standard for collaborative design), Sketch, Adobe Creative Suite.

• Prototyping Tools: Figma's prototyping features, InVision, Principle, or potentially coded prototypes.

• AI Design & Development Tools: Claude, Cursor, coding agents, and other emerging AI tools for design and development acceleration.

Analytics & Reporting:

• Proficiency with analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to understand user behavior and product performance.

• Experience interpreting data to inform design decisions and measure the impact of AI features. CRM & Automation:

• While not a primary focus for this design role, familiarity with CRM systems (like Salesforce) and workflow automation tools can be beneficial for understanding the broader B2B SaaS ecosystem. Collaboration & Communication:

• Slack, Zoom, Google Workspace (Docs, Sheets, Slides), Jira, Confluence.

📝 Enhancement Note: The emphasis on "pushing our tech stack" and "prototyping in code" suggests that familiarity with coding tools and AI-specific development environments (like Cursor) is highly valued. This role may require more technical depth than a traditional product designer.

👥 Team Culture & Values

Operations Values:

• Builder Mentality: A proactive, hands-on approach to creation, problem-solving, and pushing technological boundaries.

• Embrace Ambiguity: Comfort and energy derived from navigating uncertain environments and defining new paths, especially in AI.

• Customer Focus: Deep commitment to understanding and solving user problems to deliver exceptional value.

• Collaboration & High Trust: Working effectively with cross-functional partners, valuing open communication, feedback, and mutual support.

• Experimentation & Iteration: A willingness to try new things, learn from failures, and continuously improve designs and processes.

• Impact-Driven: Focus on shipping high-quality products that have a measurable positive impact on users and the business.

Collaboration Style:

• Integrated Pods: Designers work closely within cross-functional product teams (Product, Engineering, Data) as integral members.

• Feedback Loops: Regular design critiques and open sharing of work to foster continuous improvement.

• Asynchronous & Synchronous: Balancing effective asynchronous communication for a remote team with necessary synchronous collaboration sessions.

• Proactive Partnership: Designers are expected to be proactive partners, shaping strategy upstream and ensuring high-quality execution downstream.

📝 Enhancement Note: The culture is geared towards innovation and autonomy, fitting for a new AI team. The values emphasize initiative, adaptability, and strong teamwork, essential for navigating the complexities of AI product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Novel AI Experiences: The primary challenge will be to conceptualize and design truly innovative AI features for the talent management space, where best practices are still emerging.

• Navigating Ambiguity: The experimental nature of the team means constant evolution of requirements, technology, and product direction.

• Balancing AI Capabilities with User Needs: Ensuring AI outputs are genuinely useful, trustworthy, and integrated seamlessly into existing workflows, rather than being a gimmick.

• Technical Complexity: Collaborating closely with engineering and data science on complex AI models and outputs requires a willingness to learn and engage with technical concepts.

• Evolving AI Landscape: Keeping pace with the rapid advancements in AI technology and design patterns.

Learning & Development Opportunities:

• AI Design Specialization: Become a leader in AI product design by working on cutting-edge applications.

• Cross-functional Skill Development: Deepen understanding of product management, data science, and engineering processes.

• Leadership Training: Potential to develop leadership skills as the team grows, mentoring junior designers and influencing team strategy.

• Industry Exposure: Opportunities to engage with new AI tools, research, and potentially industry conferences related to AI and design.

• Strategic Impact: Contribute directly to Lattice’s strategic vision and growth in the AI domain.

📝 Enhancement Note: The "challenges" are framed as opportunities for growth. The role offers significant potential for professional development in a high-demand field, particularly in shaping the future of AI within B2B SaaS.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What were the biggest challenges in shaping the AI output, and how did you address them?" (Focus on AI output quality, tone, error handling).

• "How do you approach designing for ambiguity, especially in a rapidly evolving field like AI?" (Highlight your self-starting, experimental, and iterative processes).

• "Walk us through a complex B2B SaaS workflow you designed. How did you ensure scalability and seamless integration of new features, and where would AI fit in?" (Demonstrate understanding of complex systems and workflow augmentation).

• "Imagine we want to use AI to help employees track their progress towards goals. What are your initial thoughts on the user experience, potential AI outputs, and key considerations for trust and usability?" (Showcase your AI ideation and UX thinking). Company & Culture Questions:

• "What excites you about Lattice's mission and our focus on AI?" (Research Lattice's mission and values).

• "How do you approach collaboration within a remote, cross-functional team, particularly with engineers and product managers?" (Emphasize your proactive partnership and communication skills).

• "Describe your experience with design feedback. How do you give and receive it effectively?" (Highlight your openness to critique and collaborative spirit).

• "What does a 'builder mindset' mean to you in the context of product design?" (Connect to your experience prototyping, coding, or taking initiative). Portfolio Presentation Strategy:

• Lead with AI Case Studies: Begin with your strongest AI design projects, clearly articulating the problem, your process, your specific contributions to AI output refinement, and the outcome/impact.

• Demonstrate the "Why": Explain the strategic thinking behind your design decisions, particularly how you identified opportunities for AI to add value.

• Showcase Technical Aptitude: If you have coded prototypes or used AI development tools, be prepared to discuss them and how they accelerated your work.

• Be Ready for Deep Dives: Anticipate detailed questions about your design process, trade-offs, and how you handled challenges specific to AI.

• Connect to Lattice: Frame your experience and examples in a way that demonstrates how you can contribute to Lattice's specific goals and culture.

📝 Enhancement Note: Interview preparation should heavily focus on AI-specific design challenges and your ability to be a "builder." The portfolio is your primary weapon, so ensure it's polished, relevant, and ready for detailed discussion. Be prepared to discuss your comfort level with coding or advanced prototyping tools.

📌 Application Steps

To apply for this Senior Product Designer, AI position:

• Submit your application through the provided application link on the Lattice careers page.

• Portfolio Customization: Tailor your portfolio to prominently feature 1-3 of your strongest AI design case studies. Clearly articulate your role, process, and impact, with a specific emphasis on how you shaped AI outputs, managed non-deterministic behavior, and ensured user trust.

• Resume Optimization: Update your resume to highlight keywords related to AI product design, user experience (UX), user interface (UI), prototyping, design systems, and collaboration with engineering/product teams. Quantify achievements where possible.

• Interview Preparation: Thoroughly review the "Interview Preparation" section above. Practice articulating your experience with AI design challenges and your "builder mindset." Prepare to discuss your understanding of Lattice's mission and product.

• Company Research: Deeply research Lattice, its product offerings, its mission, and its recent developments in AI. Understand their target market (B2B SaaS, HR Tech) and consider how your design philosophy aligns with their goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions for a Senior Product Designer role with an AI focus. All details should be verified directly with Lattice during the application and interview process. The specific expectations for AI tooling and coding proficiency may vary, so it is crucial to clarify these during discussions.