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: 2026-06-15

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

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

• Drive the creation of AI-assisted workflows and reimagined user interactions within a complex B2B SaaS environment.

• Collaborate closely with Product Management, Engineering, and Data Science to define and deliver innovative AI solutions that enhance user productivity and business outcomes.

• Champion a user-centric design approach, focusing on building trust, managing ambiguity, and ensuring scalability for AI-powered features.

📝 Enhancement Note: This role is positioned within a new, experimental AI team at Lattice, indicating a high degree of autonomy and a significant opportunity for impact in shaping the future of AI within the company's product suite. The emphasis on "builders" and "0 to 1 mindset" suggests a need for proactive individuals comfortable with defining processes and solutions.

📈 Primary Responsibilities

• Design and prototype AI-powered features, including chat interfaces, AI agents, and AI-assisted workflows, ensuring seamless integration with the existing Lattice platform.

• Define and refine AI output quality, tone, formatting, and edge cases, developing patterns for trust, graceful failure, and human-in-the-loop interactions.

• Collaborate with cross-functional teams to translate complex user needs and business objectives into intuitive and impactful AI-driven user experiences.

• Develop a deep understanding of the entire Lattice product suite to ensure AI initiatives strengthen, rather than fragment, existing customer workflows.

• Partner with engineering and data science teams to craft and fine-tune AI model outputs, ensuring they align with ideal user experiences and business goals.

• Conduct user research, validation, and testing with design partners, beta programs, and customers to iterate on AI features and drive adoption.

• Contribute to the development of a cohesive system for AI experiences across Lattice, ensuring consistency in voice, tone, and persona.

• Design scalable and durable workflows that leverage AI to meaningfully augment user jobs, while minimizing cognitive load.

📝 Enhancement Note: The responsibilities emphasize a hands-on approach to AI output shaping, moving beyond traditional UI design to include the qualitative aspects of AI-generated content. The need to design for "non-deterministic systems" and "graceful failure" highlights a unique challenge in AI product design that requires specific strategic thinking.

🎓 Skills & Qualifications

Education: Bachelor's degree in Graphic Design, Product Design, Human-Computer Interaction, or a related field, or equivalent practical experience.

Experience: 3 to 5+ years of product design experience, with significant time spent designing and shipping AI-powered experiences (e.g., chat, agents, AI-assisted workflows) or adjacent domains with unpredictable outputs.

Required Skills:

• Proven experience designing and shipping AI-powered experiences, demonstrating an understanding of AI output characteristics and user trust mechanisms.

• A strong "0 to 1" mindset, with demonstrated ability to bring new experiences to life from hypothesis to shipped product through prototyping, validation, and iteration.

• Expertise in UX craft, including problem shaping, identifying jobs-to-be-done, mapping edge cases, and building clear mental models.

• Advanced visual and interaction design skills, with a strong command of typography, hierarchy, spacing, grids, and responsive layouts.

• Experience designing complex, multi-product workflows and integrating new affordances without negatively impacting existing user journeys.

• Ability to think across multiple personas (managers, employees, admins, HR leaders) and contribute to a cohesive AI experience system.

• Experience designing for non-deterministic systems, including patterns for trust, graceful failure, hallucinations, confidence, citations, fallbacks, and human-in-the-loop.

• A defined point of view on AI voice, tone, and persona, with the ability to maintain consistency across surfaces.

• Proficiency in collaborating closely with Product and Engineering teams throughout the product development lifecycle.

• Strong written and verbal communication skills, with the ability to articulate customer challenges and design decisions clearly and succinctly.

• Familiarity with modern AI tools (e.g., Claude, Cursor, coding agents) and a builder mindset comfortable with prototyping in code.

• Experience working with established design systems, including building new components for AI-native interactions. Preferred Skills:

• Experience shipping AI-native products at significant scale (high-volume production traffic, large user bases, or measurable business impact).

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

• Experience in B2B SaaS environments.

• Formal education in Graphic or Product Design.

• Understanding of front-end implementation (HTML/CSS) sufficient for meaningful conversations with engineers.

📝 Enhancement Note: The experience requirement specifies "meaningful time spent designing and shipping AI-powered experiences," which is a critical differentiator. The emphasis on a "0 to 1 mindset" and comfort with "ambiguity" suggests that candidates should highlight projects where they initiated and defined solutions rather than executed pre-defined requirements.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase case studies from AI work that extend beyond screen designs to demonstrate how you shaped the AI output itself (quality, tone, formatting, edge cases).

• Include details on iteration loops and validation processes that led to the final shipped AI features.

• Present examples of designing for non-deterministic systems, illustrating your approach to trust, error handling, and user feedback mechanisms.

• Demonstrate your ability to create cohesive AI experiences across multiple personas and integrate AI into complex, multi-product workflows.

• Highlight your collaboration with Product, Engineering, and Data Science teams, showing how you influenced strategy and execution. Process Documentation:

• Detail your approach to hypothesis formation, prototyping, validation, and iteration for AI-driven product development.

• Showcase how you map user needs and identify opportunities for AI augmentation within existing workflows.

• Illustrate your methods for defining and maintaining AI voice, tone, and persona consistency across different product surfaces.

• Provide examples of your process for addressing challenges related to AI output quality, hallucinations, and human-in-the-loop interactions.

📝 Enhancement Note: The portfolio requirements are highly specific to AI design, demanding not just UI/UX deliverables but also evidence of influencing AI model outputs and managing the inherent unpredictability of AI. Candidates should prepare to discuss their process for evaluating and refining AI-generated content.

💵 Compensation & Benefits

Salary Range: $136,000 - $170,000 annually. This range is an estimate based on location, experience, and market data.

Benefits:

• Medical, Dental, and Vision Insurance

• Life, AD&D, and Disability Insurance

• Emergency Weather Support

• Wellness Apps

• Paid Parental Leave

• Generous Paid Time Off (inclusive of holidays and sick time)

• Commuter & Parking Accounts

• Lunches provided in the office

• Internet and Phone Stipend

• One-time WFH Office Set-Up Stipend

• 401(k) retirement plan

• Financial Planning services

• Learning & Development Budget

• Incentive Stock Options

Working Hours: Standard full-time hours, approximately 40 hours per week, with flexibility expected given the remote and experimental nature of the role.

📝 Enhancement Note: The salary range provided is an estimate and Lattice explicitly states that compensation can vary based on location, individual skills, qualifications, and experience. The inclusion of incentive stock options suggests a significant opportunity for equity participation.

🎯 Team & Company Context

🏢 Company Culture

Industry: Human Resources Technology / SaaS (People Success Platform)

Company Size: Lattice has grown to support over 5,000 customers globally and has approximately 13 individuals on its Design team, indicating a growing but still relatively agile organization.

Founded: 2016, Lattice has established itself as a significant player in the talent management space, now focusing on building the next generation of its AI-native product suite.

Team Structure:

• The Design team, comprising Brand Design, Product Design, and Research, works closely with cross-functional partners.

• The new AI team is experimental, implying a structure that encourages rapid iteration and shared ownership.

• Collaboration is a cornerstone, with a high-trust environment and a focus on holistic thinking and high-quality experiences. Methodology:

• Emphasis on a "0 to 1" approach, characterized by hypothesis formation, prototyping, validation, and iterative development.

• Strong focus on customer-centricity, with significant validation through design partners, beta programs, and ongoing dogfooding.

• Embraces ambiguity and encourages experimentation with new tools and patterns, particularly in the evolving AI landscape.

• Values builders who can flex across disciplines (design, prototyping, documentation) to accelerate product shipping.

Company Website: https://lattice.com/

📝 Enhancement Note: Lattice's culture is described as high-trust and collaborative, emphasizing autonomy and ownership, especially within the new AI team. The company's mission to build cultures where employees and companies thrive suggests a values-driven organization that prioritizes employee well-being and development.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Senior Product Designer, indicating a mid-to-senior level position with significant responsibility for driving design strategy and execution within the AI product domain. It requires a blend of advanced design craft, strategic thinking, and hands-on execution.

Reporting Structure: While not explicitly stated, senior designers typically report to a Design Lead, Director of Design, or Head of Product Design. The AI team's experimental nature may also involve close collaboration with Product Management and Engineering leads.

Operations Impact: The Senior Product Designer for AI will directly influence the future direction of Lattice's product by shaping AI-native features. This includes impacting user adoption, customer satisfaction, product differentiation, and ultimately, the company's competitive advantage in the evolving HR tech market. The role has the potential to redefine how users interact with talent management software.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI product design, becoming a go-to specialist within the company and industry.

• Leadership Potential: Opportunity to shape team processes, mentor junior designers, and potentially lead design initiatives for future AI product expansions.

• Cross-functional Influence: Gain experience working at the intersection of design, product, engineering, and AI research, broadening strategic acumen.

• Skill Expansion: Develop capabilities in areas like rapid prototyping, coding, and influencing AI model development through direct involvement.

📝 Enhancement Note: The "Senior" title, combined with the experimental nature of the AI team, suggests significant opportunities for growth and influence. Candidates should look for roles that allow them to define best practices and establish new paradigms within the company.

🌐 Work Environment

Office Type: Fully Remote. This designation indicates that the role is not tied to a physical office and can be performed from any location within the United States.

Office Location(s): Not applicable, as the role is fully remote. However, the company is headquartered in San Francisco, CA, and has a global customer base.

Workspace Context:

• The remote work environment necessitates strong self-discipline, proactive communication, and effective use of digital collaboration tools.

• Lattice provides stipends for home office setup, internet, and phone, supporting a productive remote workspace.

• Collaboration will primarily occur through virtual means, requiring designers to be adept at asynchronous communication and virtual whiteboarding/design sessions.

• The company culture supports a high-trust environment, implying autonomy in managing one's work schedule and environment.

Work Schedule: Standard full-time hours (approximately 40 hours/week) are expected. Given the remote nature and the experimental AI team, some flexibility may be inherent, but a commitment to team collaboration and timely delivery is crucial.

📝 Enhancement Note: The fully remote nature of the role offers flexibility but also demands a high degree of self-management and strong communication skills. Candidates should highlight their experience and comfort with remote collaboration tools and asynchronous workflows.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review applications for essential qualifications and experience, with a particular focus on AI design work.

• Portfolio Review: Candidates will be asked to present their portfolio, with a specific emphasis on AI-related case studies. Be prepared to discuss your process for shaping AI outputs, managing ambiguity, and collaborating with cross-functional teams.

• Design Challenge/Exercise: May involve a practical exercise to assess problem-solving skills, design thinking, and approach to AI-specific challenges, potentially including prototyping or defining AI interactions.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially other designers to assess collaboration, communication, and technical understanding.

• Hiring Manager Interview: A final discussion with the hiring manager to evaluate overall fit, strategic thinking, and alignment with the team's vision.

Portfolio Review Tips:

• AI Output Focus: Clearly articulate your role and impact in shaping the AI output itself – not just the interface. Discuss how you addressed tone, quality, and error states.

• Ambiguity & 0->1: Showcase projects where you navigated uncertainty, defined problems, and built solutions from scratch.

• Collaboration: Provide examples of how you partnered with Product, Engineering, and Data Science to bring AI features to life.

• Impact & Metrics: Quantify the impact of your designs where possible, even if it's through qualitative feedback or user validation.

• Technical Dexterity: Briefly mention your comfort with coding tools or prototyping methods that accelerate your workflow.

Challenge Preparation:

• Understand Lattice's product suite and target audience (HR leaders, managers, employees).

• Anticipate challenges related to designing for AI, such as user trust, hallucination mitigation, and ethical considerations.

• Prepare to discuss your approach to defining AI personas and ensuring a consistent brand voice.

• Practice articulating complex design decisions and trade-offs clearly and concisely.

📝 Enhancement Note: The portfolio review is explicitly called out as requiring more than just screen designs. Candidates must prepare to demonstrate their strategic thinking and hands-on involvement in the AI generation process itself, showcasing how they influenced the AI's behavior and output.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (or similar industry-standard design tools like Sketch, Adobe XD) for UI design and prototyping.

• AI Tools: Familiarity and willingness to experiment with tools like Claude, Cursor, and coding agents for design acceleration and workflow enhancement.

• Collaboration: Slack, Zoom, Google Workspace (Docs, Sheets, Slides) for communication and documentation.

• Project Management: Tools like Jira or Asana may be used by cross-functional teams.

Analytics & Reporting:

• Lattice likely uses product analytics tools (e.g., Amplitude, Pendo, Mixpanel) for user behavior tracking and performance measurement.

• The designer will collaborate with Data Science to understand user engagement and the impact of AI features. CRM & Automation:

• While not directly a designer's primary tool, understanding how enterprise SaaS products like Lattice integrate and automate workflows is beneficial. Familiarity with concepts of CRM and workflow automation within B2B contexts is relevant.

📝 Enhancement Note: The emphasis on "AI tooling skills & flexibility" strongly suggests that candidates should be prepared to discuss their experience with or eagerness to learn and apply AI-specific tools in their design process. This is a key differentiator for this role.

👥 Team Culture & Values

Operations Values:

• Builders: A strong bias for action and creation, comfortable making things from scratch.

• Customer-Centricity: Deep empathy for users and a commitment to solving their problems effectively.

• Collaboration: High-trust, proactive partnership with cross-functional teams.

• Ambiguity Tolerance: Comfort with uncertainty and a proactive approach to defining solutions.

• Continuous Learning: Eagerness to experiment with new tools, patterns, and technologies, especially in the rapidly evolving AI space.

• Impact-Driven: Focus on shipping high-quality, measurable experiences that drive business outcomes.

Collaboration Style:

• Proactive & Reliable: Designers are expected to be dependable partners for Product and Engineering, thinking at a high level and staying close throughout the build process.

• Design Feedback Loop: A culture of actively sharing work and providing constructive feedback, both receiving and giving.

• Cross-functional Integration: Working side-by-side with Product, Engineering, and Data teams to ensure holistic thinking and cohesive product development.

📝 Enhancement Note: The company values "builders" and those who are "energized by ambiguity." This indicates a culture that rewards initiative, problem-solving, and a willingness to forge new paths rather than follow established ones, particularly relevant for pioneering AI features.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Unpredictability: Navigating the inherent uncertainty of AI outputs and designing experiences that manage user expectations and build trust.

• Defining AI Best Practices: Contributing to the establishment of new design patterns and methodologies for AI-native products in a rapidly evolving field.

• Balancing Innovation with Integration: Ensuring new AI features enhance, rather than disrupt, the existing complex user workflows within the Lattice platform.

• Rapid Technological Evolution: Staying ahead of AI advancements and adapting design strategies and tools accordingly.

Learning & Development Opportunities:

• AI Specialization: Become an expert in AI product design, understanding model behavior, ethical implications, and user interaction patterns.

• Cross-Disciplinary Growth: Gain deeper insights into AI engineering, data science, and product strategy through close collaboration.

• Leadership in New Frontiers: Opportunity to shape the AI product vision and potentially lead design efforts for future AI initiatives.

• Tooling & Prototyping: Experiment with and master new AI-assisted design tools and advanced prototyping techniques.

📝 Enhancement Note: The primary challenge lies in pioneering AI design within a B2B SaaS context, requiring a blend of technical understanding, user empathy, and strategic foresight. The growth opportunities are substantial for individuals looking to be at the forefront of AI product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered experience. What were the biggest challenges, and how did you address them, particularly concerning the AI output itself?"

• "How do you approach designing for systems with unpredictable outputs? Walk us through your process for ensuring user trust and managing potential failures."

• "Imagine you're tasked with integrating a new AI feature into an existing complex workflow. How would you approach understanding the job-to-be-done, identifying AI's role, and designing the user experience without disrupting current usage?" Company & Culture Questions:

• "What excites you about Lattice's mission and the opportunity to build AI-native products in the people success space?"

• "How do you contribute to a high-trust, collaborative team environment, especially in a remote setting?"

• "Describe your approach to receiving and giving design feedback. How do you ensure constructive dialogue within a team?" Portfolio Presentation Strategy:

• AI Output Deep Dive: Dedicate significant time to explaining your process for influencing and refining AI output quality, tone, and error handling. Use specific examples from your case studies.

• Ambiguity & 0->1 Narrative: Structure your case studies to highlight how you navigated uncertainty, defined problems, and built solutions from concept to launch.

• Collaboration Showcase: Clearly articulate your role and interactions with Product, Engineering, and Data Science partners. Show how you influenced decisions and outcomes.

• Technical Comfort: Briefly mention your comfort with coding tools or AI-assisted design tools, and how they enhance your workflow.

📝 Enhancement Note: Interviewers will be looking for evidence of a "builder" mentality and comfort with ambiguity. Candidates should be prepared to discuss their practical experience with AI outputs and their ability to define solutions in uncharted territory.

📌 Application Steps

To apply for this Senior Product Designer, AI position:

• Submit your application directly through the Lattice careers portal or the provided link.

• Portfolio Customization: Tailor your portfolio to prominently feature case studies demonstrating your experience with AI product design, focusing on your process for shaping AI outputs, managing ambiguity, and collaborating cross-functionally.

• Resume Optimization: Highlight keywords such as "AI Product Design," "0 to 1," "non-deterministic systems," "UX craft," "prototyping," and any relevant AI tooling experience. Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, especially concerning AI-specific challenges, and prepare to discuss how you contribute to a collaborative and high-trust remote environment. Rehearse your portfolio presentation with a focus on AI output refinement and strategic impact.

• Company Research: Familiarize yourself with Lattice's product suite, mission, and target users. Understand their position in the HR Tech market and consider how AI can further enhance their offerings.

⚠️ 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.