AI-Native Product Designer

📍 Job Overview

Job Title: AI-Native Product Designer

Company: Valency Systems Inc.

Location: Berkeley, California, United States

Job Type: FULL_TIME

Category: Product Design / GTM Operations (Design Focused)

Date Posted: May 07, 2026

Experience Level: Mid-Level (Estimated 2-5 years)

Remote Status: Hybrid (3 days in office, 2 days flexible remote)

🚀 Role Summary

• Design and own the end-to-end product experience for an AI-native platform focused on the agentic research era, driving user adoption and engagement.

• Translate complex, cutting-edge AI capabilities into intuitive and accessible user interfaces, ensuring a seamless user experience for scientific researchers.

• Collaborate closely with a cross-functional team of engineers, scientists, and researchers to shape product strategy and define new interaction models for AI-driven discovery.

• Develop and maintain a robust design system to ensure consistency, scalability, and efficiency across the product as it evolves.

📝 Enhancement Note: While the core role is Product Design, its focus on AI-native platforms, complex scientific workflows, and close collaboration with engineering/research teams positions it within the broader GTM Operations sphere, particularly concerning user adoption, product enablement, and translating technical capabilities into marketable user experiences. This role requires a deep understanding of how design directly impacts the successful deployment and utilization of advanced AI technologies.

📈 Primary Responsibilities

• Lead the full product design lifecycle, from initial user research and conceptualization through wireframing, prototyping, and final UI production.

• Conduct frequent user interviews and research to deeply understand the needs of scientists and researchers, translating insights into actionable design decisions.

• Develop innovative interaction models that make complex AI capabilities feel intuitive and easy to use for a technical audience.

• Prototype designs using various methods, including Figma, code, or other rapid prototyping tools, to quickly iterate and validate ideas.

• Build, evolve, and maintain a comprehensive design system that supports product growth and ensures a consistent, high-quality user experience.

• Champion accessibility standards and advocate for responsible AI design patterns throughout the product development process.

• Act as the primary design voice within a team of engineers and researchers, influencing product direction and technical feasibility.

• Collaborate with engineering to ensure pixel-perfect implementation of designs and to identify opportunities for design optimization.

📝 Enhancement Note: The responsibilities emphasize a high degree of autonomy and proactive problem-solving ("You won't be handed specs. Most days, you'll start with a capability that just became possible and end with something users can actually try."). This indicates a need for a designer who can define problems and solutions independently, a key trait in high-impact operations roles.

🎓 Skills & Qualifications

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

Experience: Estimated 2-5 years of relevant product design experience, with a strong track record of shipping complex digital products.

Required Skills:

• Proven experience in end-to-end product design, encompassing user research, wireframing, prototyping, and UI design.

• Proficiency in design tools such as Figma for creating mockups, prototypes, and design systems.

• Demonstrated ability to make complex AI capabilities intuitive and user-friendly.

• Experience conducting user interviews and synthesizing research findings into design.

• Strong understanding of design system principles and practical experience in building or maintaining them.

• Commitment to accessibility best practices in design.

• Comfort with coding to a degree that enables rapid prototyping when it's the fastest path.

• Experience designing for technical users and complex workflows or data-heavy interfaces.

• Ability to thrive in an undefined problem space and drive solutions proactively.

• Excellent craft and attention to detail, balanced with the ability to move quickly.

Preferred Skills:

• Daily experience using AI tools in the design workflow.

• Experience in the scientific research domain or with scientific software.

• Familiarity with agentic AI concepts and their user experience implications.

• Experience working in a fast-paced startup environment.

• Understanding of responsible AI principles and ethical design considerations.

📝 Enhancement Note: The emphasis on "using AI tools daily" and being "comfortable enough with code to prototype" suggests a candidate who is not just a visual designer but also a technically adept product shaper, aligning with the evolving needs of AI-driven product development. The requirement to "invent the approach, not followed a pattern" points to a need for innovative problem-solvers, essential for roles that define new market categories.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least one project where you independently invented the design approach and owned the entire process from concept to launch.

• Demonstrate end-to-end ownership of a complex problem, illustrating your ability to define challenges and craft innovative solutions.

• Highlight projects involving complex workflows, data-heavy interfaces, or technical users to showcase relevant experience.

Process Documentation:

• Evidence of your research process, including user interview methodologies and how findings informed design decisions.

• Examples of your prototyping process, detailing the tools used and the rationale for choosing them (e.g., Figma, code).

• Documentation of your design system development or maintenance, showing its structure, components, and evolution.

• Case studies that clearly articulate the problem, your approach, the solution, and the impact achieved, with measurable outcomes where possible.

📝 Enhancement Note: The explicit requirement for a portfolio project where the candidate "invented the approach, not followed a pattern" is a critical differentiator. For operations-focused roles, this translates to demonstrating strategic thinking, innovation, and the ability to establish new processes or frameworks, not just execute existing ones.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a mid-level Product Designer in Berkeley, California, with a focus on AI and complex technical products, the estimated salary range is $120,000 - $160,000 annually. This range accounts for the specialized skills, experience level, and the high cost of living in the Bay Area.

Benefits:

• Competitive Salary: Offering a strong base salary benchmarked against market rates for specialized AI design roles.

• Meaningful Equity: Opportunity to gain significant ownership in a company at the forefront of the agentic research era.

• Comprehensive Benefits: Including health, dental, and vision insurance.

• Professional Development: Support for continuous learning and skill enhancement in AI and design.

• Hybrid Work Model: Balancing in-office collaboration with flexible remote work options.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility offered within the hybrid work structure. The emphasis is on output and collaboration rather than strict adherence to hours.

📝 Enhancement Note: The salary estimate is based on data from reputable sources like Glassdoor, LinkedIn Salary, and industry-specific compensation surveys for Product Designers in the San Francisco Bay Area, adjusted for the specialized nature of AI-native product design and a startup environment. The equity component is highlighted as particularly "meaningful" given the company's early stage and ambitious mission.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Artificial Intelligence / Scientific Research Software. Valency Systems is positioned at the intersection of cutting-edge AI development and the acceleration of scientific discovery, aiming to build the foundational platform for the agentic research era. This means a focus on innovation, scientific rigor, and the ethical application of AI.

Company Size: Small, dynamic team. This implies a lean, agile structure where each member has significant impact and responsibility. For operations professionals, this often means wearing multiple hats, direct access to leadership, and a fast-paced, hands-on work environment.

Founded: Valency Systems was founded with a mission to build a global hub for the agentic research era. The company's founding principles are rooted in advancing open science and leveraging AI to accelerate discovery.

Team Structure:

• A small, highly specialized team comprising engineers, scientists, and researchers.

• The Product Designer will work closely with these individuals, likely reporting to a Head of Product or Engineering Lead, and collaborating daily with engineers and researchers.

Methodology:

• Data-driven decision-making, prioritizing user research and empirical validation for design choices.

• Iterative development cycles, allowing for rapid prototyping and continuous feedback incorporation.

• Emphasis on building foundational technologies that enable future advancements in AI and research.

• A culture that values intellectual curiosity, open scientific principles, and the pragmatic application of advanced technology.

Company Website: https://Valency.io

📝 Enhancement Note: The company's focus on the "agentic research era" and "open science" suggests a culture that is intellectually driven, forward-thinking, and values deep technical expertise. The "small, dynamic team" environment means that operational efficiency and clear communication are paramount for success.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer, indicating a need for demonstrated experience and the capacity to work with substantial autonomy. It's a crucial role for shaping the foundational user experience of a novel AI platform, offering significant influence.

Reporting Structure: The designer will likely report to a product lead or engineering lead and work in close partnership with a small team of engineers and researchers. This direct line of collaboration ensures that design is integrated into the core development process.

Operations Impact: The Product Designer's work will directly influence user adoption, retention, and the overall success of Valency Systems' AI platform. By making complex AI capabilities accessible and valuable, the designer will be instrumental in realizing the company's mission to accelerate scientific discovery and establish a new paradigm in research. This role has a direct impact on the company's ability to acquire and retain users, thereby driving revenue and market penetration.

Growth Opportunities:

• Specialization: Deepen expertise in AI-native product design, user experience for scientific research, and potentially contributing to the development of new interaction paradigms for AI.

• Leadership: As the company grows, opportunities may arise to lead design initiatives, mentor junior designers, or shape the future design team and its processes.

• Skill Development: Gain hands-on experience with cutting-edge AI technologies, develop advanced prototyping skills (including coding), and refine expertise in building scalable design systems.

• Strategic Influence: Contribute significantly to product strategy and roadmap decisions, leveraging design insights to guide the company's direction.

📝 Enhancement Note: The role offers a unique opportunity to define the user experience for a nascent field ("AI-Native Product Designer," "agentic research era"). This is a high-growth area, and mastering it here could position the designer as a leader in a future-critical domain. The "operations impact" is framed in terms of user acquisition and retention, core GTM metrics.

🌐 Work Environment

Office Type: Hybrid work environment. Valency Systems operates from an office in Berkeley, California, encouraging in-person collaboration approximately three days a week, with two days offering flexible remote work. This model seeks to balance the benefits of team cohesion and spontaneous ideation with individual focus and flexibility.

Office Location(s): Berkeley, California, United States. This location places the company within the vibrant tech ecosystem of the San Francisco Bay Area, offering access to talent and innovation.

Workspace Context:

• Collaborative Environment: The office setting is designed to foster close collaboration among engineers, scientists, and designers, encouraging in-person brainstorming and problem-solving sessions.

• Tech-Forward: Expect a workspace equipped with modern tools and technologies necessary for AI development and design, supporting rapid iteration and experimentation.

• Team Interaction: Opportunities for daily interaction with cross-functional team members, facilitating a shared understanding of product goals and user needs.

Work Schedule: While a standard full-time schedule (approx. 40 hours/week) is expected, the hybrid model and the nature of startup work suggest a degree of flexibility. The focus is on delivering results and effectively collaborating, allowing for some autonomy in managing work hours, particularly on remote days.

📝 Enhancement Note: The hybrid model is a key aspect. For operations roles, understanding the balance between in-person collaboration (crucial for rapid ideation and team building) and remote flexibility (important for focused work and work-life balance) is vital. The Berkeley location implies access to a strong talent pool and a dynamic innovation ecosystem.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call to assess basic qualifications, cultural fit, and interest in the role and company mission.

• Portfolio Review: A dedicated session where candidates present their portfolio, focusing on projects demonstrating end-to-end ownership, innovation, and impact, particularly those involving complex technical challenges or AI. Be prepared to discuss your design process, decision-making, and the outcomes achieved.

• Design Challenge/Case Study: You may be asked to complete a take-home assignment or a live design exercise focused on a specific problem relevant to Valency's platform. This assesses your problem-solving skills, design thinking, and ability to articulate your approach.

• Team Interviews: Discussions with engineers and researchers to evaluate technical understanding, collaboration style, and ability to integrate into the existing team dynamic.

• Final Interview: A conversation with leadership to discuss strategic alignment, long-term vision, and cultural fit.

Portfolio Review Tips:

• Storytelling: Frame each project as a narrative: the problem, your role, your process, the challenges, your solutions, and the measurable results.

• Focus on Innovation: Emphasize projects where you "invented the approach," demonstrating strategic thinking beyond following established patterns.

• Process Clarity: Clearly explain why you made certain design decisions, linking them back to user research, technical constraints, or business goals.

• Technical Aptitude: Showcase your comfort with code for prototyping and your understanding of how AI capabilities translate to user interfaces.

• Impact Metrics: Quantify your impact whenever possible (e.g., improved user engagement, reduced task completion time, increased adoption rates).

Challenge Preparation:

• Understand the Domain: Research Valency Systems, the "agentic research era," and current trends in AI and scientific research.

• Problem-Solving Framework: Be ready to apply a structured approach to any design problem presented, articulating your assumptions and rationale.

• AI & Complexity: Consider how you would approach designing for complex AI functionalities and technical users, drawing from your portfolio examples.

• Communication: Practice clearly articulating your thoughts, design rationale, and proposed solutions, especially in a cross-functional context.

📝 Enhancement Note: The emphasis on "invented the approach" in the portfolio review is a critical cue. Candidates should prepare to discuss their strategic thinking and how they define and solve novel problems, which is a hallmark of effective operations and GTM roles. The interview process is designed to assess not just design skill but also technical aptitude and collaborative potential.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for wireframing, prototyping, UI design, and design system management. Expect to leverage its advanced features for collaborative design and iteration.

• Prototyping Tools (Code/Other): Proficiency in using code (e.g., HTML/CSS/JavaScript, or specific frameworks) for rapid prototyping is expected, alongside other tools if they facilitate faster idea validation.

• User Research Platforms: Familiarity with tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Dovetail).

Analytics & Reporting:

• Product Analytics Tools: Experience with tools like Amplitude, Mixpanel, or similar for tracking user behavior, feature adoption, and identifying areas for design improvement.

• Data Visualization Tools: While not a primary design tool, understanding how data is visualized and presented can inform design decisions for dashboards and reporting interfaces.

CRM & Automation:

• Not directly applicable to this design role, but understanding how design impacts user onboarding and adoption within a CRM or sales funnel context can be beneficial.

📝 Enhancement Note: The explicit mention of "code, or paper" for prototyping highlights a pragmatic, results-oriented approach. The expectation to use Figma for design systems and potentially product analytics tools for user behavior analysis indicates a data-informed design process, crucial for operations and GTM success.

👥 Team Culture & Values

Operations Values:

• Innovation & Discovery: A strong drive to push boundaries in AI and scientific research, fostering an environment where new ideas are encouraged and explored.

• User-Centricity: Deep commitment to understanding and serving the needs of researchers and scientists, ensuring the platform is not just powerful but also usable and valuable.

• Data-Driven Approach: Decisions are informed by research, experimentation, and the analysis of user behavior to ensure designs are effective and impactful.

• Efficiency & Pragmatism: A focus on moving quickly and delivering tangible results without sacrificing quality or craft. This applies to both product development and operational processes.

Collaboration Style:

• Integrated Cross-Functional Teams: Design is not a separate function but an integral part of engineering and research teams, fostering close, daily collaboration.

• Open Communication & Feedback: A culture that encourages direct, honest feedback and open discussion to drive continuous improvement and problem-solving.

• Shared Ownership: Team members are encouraged to take ownership of problems and solutions, working collaboratively to achieve common goals.

📝 Enhancement Note: The values of "Innovation & Discovery" and "User-Centricity" are paramount for a company building in the "agentic research era." The emphasis on "Efficiency & Pragmatism" and "Data-Driven Approach" aligns directly with operational excellence and GTM strategies that require measurable outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Paradigm: The primary challenge is establishing the best practices for designing AI-native products in the scientific research domain, a field with few established precedents.

• Translating Complexity: Making highly complex AI capabilities accessible and intuitive for a demanding user base requires significant creative problem-solving and iterative refinement.

• Balancing Craft and Speed: Maintaining high design quality and craft while operating in a fast-paced startup environment with rapid development cycles.

• Being the Sole Designer: Navigating product development and decision-making as the primary design voice within a predominantly technical team requires strong communication and advocacy skills.

Learning & Development Opportunities:

• Cutting-Edge AI: Gain in-depth knowledge and practical experience with the latest advancements in AI and their application in scientific research.

• New Interaction Models: Develop expertise in designing novel interaction patterns for AI-driven workflows, positioning yourself as a thought leader in the field.

• Design System Mastery: Enhance skills in building and scaling robust design systems for complex, evolving platforms.

• Startup Growth: Experience the rapid growth and evolution of a tech startup, learning valuable lessons in product development, team dynamics, and business strategy.

📝 Enhancement Note: The challenges presented are significant and directly relate to innovation and market leadership. Overcoming these challenges offers substantial growth opportunities, particularly in specialized areas of AI design and product strategy, which are highly valued in operations and GTM functions.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a capability that didn't exist before. How did you approach defining the problem and solution?" (Focus on your process for ambiguity and innovation.)

• "How would you make a complex AI model's decision-making process transparent and understandable to a researcher?" (Demonstrate your approach to explainable AI and user trust.)

Company & Culture Questions:

• "Why are you interested in Valency Systems and our mission in the agentic research era?" (Research the company's mission, values, and the broader impact of AI in science.)

• "How do you approach integrating with engineering and research teams, especially when you are the only designer?" (Highlight your collaboration skills and ability to advocate for design.)

Portfolio Presentation Strategy:

• Tell a Story: Structure your presentation around clear narratives for each project, emphasizing the problem, your unique approach, the process, and the impact.

• Highlight Ownership & Innovation: Explicitly point out where you took initiative, invented solutions, and owned the process from start to finish.

• Demonstrate Technical Aptitude: Discuss your use of code for prototyping and your understanding of how AI capabilities translate into user interactions.

• Focus on Impact: Provide quantifiable results or strong qualitative evidence of the success of your designs.

• Be Prepared for Deep Dives: Expect questions about specific design decisions, trade-offs, and your thought process throughout your projects.

📝 Enhancement Note: The interview preparation advice targets the core requirements of the role: innovation, handling complexity, technical collaboration, and deep user understanding. The emphasis on "inventing the approach" and demonstrating impact is critical for candidates aiming for roles with significant operations or GTM influence.

📌 Application Steps

To apply for this AI-Native Product Designer position:

• Submit your application through the provided link on Ashby.

• Customize Your Resume: Tailor your resume to highlight experience with complex workflows, data-heavy interfaces, AI tools, and end-to-end product design ownership. Use keywords from the job description such as "AI-Native," "User Research," "Prototyping," and "Design Systems."

• Curate Your Portfolio: Select 2-3 key projects that best demonstrate your ability to invent design approaches, own projects end-to-end, and design for technical users. Ensure each case study clearly outlines the problem, your solution, your process, and the impact.

• Prepare Your Narrative: Practice presenting your portfolio projects, focusing on storytelling and clearly articulating your design rationale and the value you brought to each initiative. Be ready to discuss your experience with code-based prototyping and AI tools.

• Research Valency Systems: Understand the company's mission, their focus on the "agentic research era," and the broader implications of AI in scientific discovery. This will help you articulate your interest and align with their vision during interviews.

⚠️ 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.