Senior AI Product Designer

📍 Job Overview

Job Title: Senior AI Product Designer Company: Rescale Location: United States Job Type: FULL_TIME Category: Product Design / AI Product Development Date Posted: 2025-07-28T00:00:00 Experience Level: Senior (7+ years) Remote Status: Fully Remote (United States)

🚀 Role Summary

• Design and lead cutting-edge AI-augmented workflows and user interfaces for complex High-Performance Computing (HPC) environments.
• Pioneer AI-driven design methodologies, leveraging tools like ChatGPT, Claude, Midjourney, and GitHub Copilot to accelerate the design process and enhance product innovation.
• Own the end-to-end design strategy for significant product initiatives, focusing on AI-powered features that drive substantial revenue impact and reduce customer time-to-insight.
• Conduct advanced user research using AI and ML techniques to identify workflow bottlenecks, synthesize qualitative feedback, and generate data-driven design recommendations.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of AI, product design, and enterprise software for technical users. The emphasis on AI-augmented design workflows and the direct impact on revenue ($10M+ initiatives) indicates a strategic, high-visibility position. The need for AI design tool proficiency and prompt engineering suggests a forward-thinking design team embracing emerging technologies.

📈 Primary Responsibilities

• Pioneer and implement AI-driven design workflows, utilizing generative AI tools for rapid prototyping, user research synthesis, and design system generation.
• Develop custom AI workflows for specific design tasks, including component generation, accessibility testing, and copy optimization, to enhance design team efficiency.
• Establish and champion best practices for integrating AI tools and methodologies within the product design team's processes.
• Lead the end-to-end design strategy for major product initiatives, with a particular focus on developing and refining AI-powered features such as intelligent job optimization and predictive resource allocation.
• Create and maintain scalable design systems that are adaptive to diverse computational workloads and user needs, ensuring consistency and efficiency across the product.
• Drive design decisions informed by AI-powered analysis of user behavior patterns and synthesized qualitative feedback, aiming to reduce customer time-to-insight by over 50%.
• Design AI-assisted interfaces for automated simulation setup, optimization, and the creation of intelligent dashboards that surface critical insights from large datasets.
• Collaborate closely with Machine Learning Engineers and Software Engineers to translate AI capabilities into intuitive and impactful user experiences.
• Lead design reviews, mentor junior designers, and establish high-quality standards for the design output within the team.

📝 Enhancement Note: The responsibilities highlight a dual focus: hands-on execution of AI-driven design tasks and strategic leadership in defining how AI can transform the product design process. The emphasis on "pioneering" and "leading" suggests this role is crucial in shaping the company's approach to AI in product development.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a background in Design, Human-Computer Interaction (HCI), Computer Science, Engineering, or a related technical field is highly beneficial, particularly for understanding the technical user base and AI concepts.

Experience:

• Minimum of 7 years of progressive experience in Product Design, with at least 5 years focused on enterprise B2B software solutions.
• Proven track record of successfully shipping AI-powered features or intelligent user interfaces within production environments.
• Demonstrated expertise in leveraging AI tools (e.g., ChatGPT, Claude, Midjourney, GitHub Copilot) within live design workflows, with clear examples of enhanced productivity or innovative outcomes.
• Experience leading design efforts for products that have demonstrated a significant revenue impact (e.g., $5M+).
• A strong portfolio showcasing sophisticated design systems, complex technical workflows, and the application of AI in design.

Required Skills:

• AI Design Tools: Advanced proficiency with generative AI platforms such as ChatGPT/Claude for design ideation and content generation, Midjourney/DALL-E for visual asset creation, and GitHub Copilot for code-assisted prototyping.
• AI Workflows & Prompt Engineering: Experience in building custom AI workflows, expert-level prompt engineering for design-specific tasks, and utilizing AI for user research analysis and synthesis.
• Traditional Design Tools: Expert-level proficiency in Figma, including advanced prototyping techniques, managing design tokens, and leveraging Figma's API for workflow automation.
• Technical Skills: Comfort with front-end technologies (HTML, CSS, JavaScript) for rapid prototyping; experience with data visualization libraries like D3.js or Plotly is a significant advantage.
• User Research & Analysis: Strong capabilities in conducting user research, analyzing user behavior patterns, and synthesizing qualitative and quantitative data, ideally with AI/ML augmentation.
• Design Systems: Proven ability to create, manage, and evolve comprehensive and scalable design systems.
• Cross-Functional Collaboration: Excellent communication and collaboration skills to partner effectively with ML engineers, product managers, and software developers.
• Design Leadership: Ability to lead design initiatives, mentor team members, and advocate for user-centered design principles.

Preferred Skills:

• Experience designing for complex computational workflows such as CAE, CFD, molecular dynamics, or semiconductor design.
• Familiarity with prompt engineering techniques and the potential for LLM fine-tuning to optimize design outputs.
• Contributions to open-source design systems or AI tool development projects.
• Understanding of cloud computing infrastructure and distributed systems.

📝 Enhancement Note: The emphasis on AI tools and workflows is paramount. Candidates are expected to not only use these tools but also to innovate with them, building custom solutions and establishing best practices. The requirement for a portfolio demonstrating "sophisticated design systems and complex technical workflows" underscores the need for a candidate who can handle intricate B2B enterprise product design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design projects that highlight problem identification, user research, ideation, prototyping, visual design, and final implementation.
• Include specific examples of how AI tools were integrated into the design process, demonstrating tangible benefits such as accelerated iteration cycles, improved user insights, or novel feature development.
• Present case studies demonstrating the creation and management of sophisticated design systems, including component libraries, style guides, and usage guidelines.
• Detail projects involving complex technical workflows or data visualization, illustrating the ability to translate intricate technical concepts into user-friendly interfaces.
• Provide evidence of influencing product strategy and contributing to significant business outcomes, such as revenue growth or efficiency improvements.

Process Documentation:

• Document the design process for at least one major AI-augmented project, detailing the steps from initial concept to launch, including the specific AI tools and techniques employed.
• Illustrate how user research findings, particularly those synthesized or identified using AI, informed design decisions and led to measurable improvements in user experience or product performance.
• Demonstrate experience in creating and maintaining design documentation, including style guides, component libraries, and user flow diagrams, with an emphasis on scalability and maintainability.
• Explain the methodology used for collaborating with engineering and product teams, showcasing effective communication channels and feedback loops, especially in the context of AI feature development.

📝 Enhancement Note: The portfolio is critical for demonstrating practical application of AI in design and for showcasing the ability to handle complex enterprise software. Candidates should be prepared to articulate not just the "what" but the "how" and "why" behind their design choices, especially concerning AI integration and its impact.

💵 Compensation & Benefits

Salary Range:

• The provided salary range for this position is $150,000 - $200,000 USD per year. This range is competitive for a Senior Product Designer role with significant AI and enterprise software experience in the United States, especially for a fully remote position with a company like Rescale operating in a high-demand tech sector.

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans designed to support employee well-being.
• Retirement Savings Plan: Likely includes a 401(k) or similar plan, potentially with employer matching, to support long-term financial goals.
• Stock Options/Equity: Possibility of equity grants, aligning employee success with company growth, common in growth-stage tech companies.
• Generous Paid Time Off (PTO): Includes vacation days, sick leave, and paid holidays to promote work-life balance.
• Professional Development: Opportunities for continuous learning, including access to training, conferences, and resources for staying current with AI and design trends.
• Remote Work Stipend: Potential for a home office setup stipend or reimbursement for internet and other remote work essentials.
• Life and Disability Insurance: Standard employer-provided insurance coverage.

Working Hours:

• Standard full-time working hours are expected, likely around 40 hours per week. Given the fully remote nature, there may be flexibility in daily start and end times, provided that core collaboration hours are met to facilitate seamless interaction with teams across different time zones within the United States.

📝 Enhancement Note: The salary range is benchmarked against senior-level design roles in the US tech market, particularly those with specialized skills in AI and enterprise software. The benefits package is inferred from typical offerings at growth-stage technology companies in the US, aiming to attract and retain top talent in a competitive remote work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry:

• Rescale operates within the High-Performance Computing (HPC) and AI-native simulation platform sector. This industry is characterized by rapid technological advancement, a focus on innovation, and serving demanding technical users in fields like aerospace, automotive, and semiconductors. Company Size:
• While not explicitly stated in the provided data, Rescale is a growth-stage technology company. This typically implies a dynamic environment with a relatively flat organizational structure, encouraging direct impact and cross-functional collaboration. For operations professionals, this often means opportunities to shape processes and build functions from the ground up, alongside a culture of agility and adaptability. Founded:
• Rescale was founded in 2011. Its history likely reflects a journey from a startup to a leading enterprise platform, indicating a solid foundation in understanding and scaling complex technical solutions for large enterprises. This longevity suggests a stable yet innovative environment.

Team Structure:

• The Senior AI Product Designer will likely be part of a Product team that includes Product Managers, other Product Designers (potentially with varying specializations), UX Researchers, and potentially UI Developers.
• This role will report into a Design Lead or Head of Product/Design.
• Close collaboration is expected with ML Engineers, Data Scientists, Software Engineers, and Product Marketing Managers, especially for AI-powered features and technical product initiatives.

Methodology:

• Rescale's AI-native platform suggests a strong emphasis on data-driven decision-making, agile development methodologies, and a commitment to leveraging advanced technologies like AI and Machine Learning.
• Design processes are likely to be iterative, user-centric, and informed by both qualitative research and quantitative analytics, with a growing integration of AI for enhanced insights and efficiency.

Company Website:

• https://rescale.com/

📝 Enhancement Note: Rescale's focus on AI and HPC positions it at the forefront of technological innovation. The company culture is likely to be technically oriented, fast-paced, and collaborative, attracting individuals passionate about solving complex engineering challenges with cutting-edge technology. The "AI-native" aspect is a key differentiator, suggesting AI is deeply embedded in their product strategy and operational ethos.

📈 Career & Growth Analysis

Operations Career Level:

• This role is positioned at a Senior level within the Product Design function. It signifies a high degree of autonomy, strategic influence, and responsibility for critical product areas, particularly those involving advanced AI technologies. A Senior Designer is expected to not only execute design but also to lead initiatives, mentor others, and contribute to the overall design strategy and team growth.

Reporting Structure:

• The Senior AI Product Designer will likely report to a Design Manager, Director of Product Design, or potentially the VP of Product. They will work closely with Product Managers and Engineering Leads on specific product initiatives. The reporting line emphasizes collaboration and integration within product development squads.

Operations Impact:

• The designs created by this role will have a direct and significant impact on Rescale's core offerings, influencing how engineers and scientists interact with complex HPC and AI simulation platforms.
• By improving the usability and efficiency of these platforms, the designer can directly contribute to reducing customer time-to-insight, accelerating scientific breakthroughs, and thereby driving customer adoption, retention, and revenue growth for the company. The role's focus on initiatives impacting "$10M+ in revenue" underscores this direct business impact.

Growth Opportunities:

• Leadership Advancement: Potential to grow into a Lead Product Designer, Design Manager, or Head of Design roles, managing a team and setting broader design strategy.
• Specialization: Deepen expertise in AI-augmented design, computational engineering UX, or specific AI technologies relevant to the platform.
• Cross-Functional Mobility: Opportunities to move into Product Management or technical leadership roles, leveraging deep product and user understanding.
• Skill Development: Continuous learning in emerging AI design tools, prompt engineering, ML concepts, and advanced UX research methodologies.
• Thought Leadership: Opportunity to contribute to industry discussions, publish articles, or speak at conferences on AI in design.

📝 Enhancement Note: This role offers a clear path for career progression within a rapidly evolving field. The emphasis on AI and complex technical products provides a unique opportunity to build highly sought-after skills and gain experience at the cutting edge of technology.

🌐 Work Environment

Office Type:

• The position is designated as fully remote within the United States. This indicates a distributed workforce, with team members working from various locations. The company likely supports this with robust digital collaboration tools and a culture that values asynchronous communication alongside scheduled virtual meetings.

Office Location(s):

• While the role is remote, Rescale's headquarters are located in San Francisco, California. However, for this specific position, the "TELECOMMUTE" and "United States" location tags confirm that physical presence in any specific office is not required.

Workspace Context:

• The work environment is virtual, necessitating strong self-management and communication skills. Collaboration will primarily occur through digital platforms such as Slack, Zoom, Figma, and project management tools.
• Team members are encouraged to create productive home office setups. The company culture likely fosters an environment where designers can experiment with new tools and methodologies, including AI, to enhance their workflow and the product's user experience.
• Opportunities for interaction will be through virtual team meetings, design critiques, brainstorming sessions, and potentially occasional in-person or virtual offsites.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) are expected. Flexibility in daily scheduling is common in remote roles, allowing individuals to manage their work around personal commitments, provided core collaboration hours and project deadlines are met. This flexibility supports deep work required for complex design tasks and AI experimentation.

📝 Enhancement Note: The fully remote nature of the role requires candidates to be self-motivated and adept at digital collaboration. The company's success in a technical field suggests a professional and results-oriented remote work culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, cultural fit, and interest in the role.
• Portfolio Review & Design Exercise: Candidates will typically be asked to present their portfolio, highlighting relevant projects that demonstrate AI integration, system design, and handling of complex technical workflows. A practical design exercise or case study, potentially involving AI-augmented design, may be assigned either before or during the interview stages.
• Technical Interviews: Discussions with Product Managers, Engineering Leads, and potentially ML Engineers to delve into technical understanding, problem-solving approaches, and collaboration skills.
• Team/Stakeholder Interviews: Meetings with other designers, product stakeholders, and potentially senior leadership to evaluate team dynamics, communication style, and strategic thinking.
• Final Interview: Often with a senior leader (e.g., Head of Product, CTO) to confirm overall fit and discuss long-term vision.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how AI tools were used in specific projects, detailing the prompts, workflows, and the impact on the design outcome and efficiency.
• Showcase Complex Systems: Demonstrate your ability to design robust, scalable design systems and manage complex technical product interfaces.
• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your designs, such as improvements in user task completion, efficiency gains, or revenue impact.
• Tell a Story: Structure your portfolio presentations as compelling narratives, explaining the problem, your process, your role, the challenges, and the final results.
• Tailor to Rescale: Emphasize projects and skills most relevant to Rescale's mission, AI focus, and technical user base.

Challenge Preparation:

• Be prepared for a design challenge that may involve leveraging AI tools or addressing a complex technical problem.
• Practice articulating your design process clearly and concisely, explaining your rationale and decision-making at each step.
• Think about how you would approach integrating AI into a specific design workflow or solving a user problem using AI-driven insights.
• Prepare to discuss your experience with prompt engineering and how you optimize AI outputs for design tasks.
• Be ready to discuss your understanding of Rescale's platform and the needs of its technical user base.

📝 Enhancement Note: The interview process will heavily emphasize practical skills in AI-augmented design and the ability to translate complex technical requirements into user-friendly experiences. A strong, well-articulated portfolio is essential for demonstrating these capabilities.

🛠 Tools & Technology Stack

Primary Design & Prototyping Tools:

• Figma: Expert-level proficiency is required, including advanced prototyping, component libraries, design tokens, and API usage for automation.
• AI Design Tools:
  • Generative Text: ChatGPT, Claude (for ideation, content generation, user research synthesis, prompt engineering).
  • Generative Visual: Midjourney, DALL-E (for concept art, visual assets, inspiration).
  • Code Assistance: GitHub Copilot (for rapid prototyping, understanding code structure).
• User Research Platforms: Tools for session recording, heatmaps, surveys, and qualitative feedback analysis (potentially AI-enhanced).

Analytics & Reporting Tools:

• Data Visualization Libraries: D3.js, Plotly (for understanding data-driven insights and potentially designing dashboards).
• Product Analytics Platforms: Tools like Amplitude, Mixpanel, or Google Analytics for tracking user behavior and product performance.
• Business Intelligence (BI) Tools: For accessing and analyzing business metrics that inform design strategy.

CRM & Collaboration Tools:

• Collaboration Suites: Slack, Microsoft Teams for day-to-day communication.
• Project Management: Tools like Jira, Asana, or Trello for managing design tasks and workflows.
• Documentation: Confluence or similar for knowledge sharing and process documentation.
• Version Control: Git (likely used in conjunction with GitHub Copilot and for design handoff where applicable).

📝 Enhancement Note: Proficiency in Figma is a baseline, but the core differentiator for this role is expertise with a range of AI tools and the ability to integrate them effectively into the design workflow. Understanding how to leverage data and analytics, potentially visualized through libraries like D3.js, is also key.

👥 Team Culture & Values

Operations Values:

• Innovation & Pioneering Spirit: A strong drive to explore and implement new technologies, particularly AI, to push the boundaries of design and product capabilities.
• User-Centricity: A deep commitment to understanding and serving the needs of technical users (engineers, scientists) by creating intuitive and efficient workflows.
• Data-Driven Decision Making: Utilizing both AI-synthesized insights and traditional analytics to inform design choices and measure impact.
• Collaboration & Transparency: Open communication and teamwork across product, engineering, and design functions to ensure alignment and shared success.
• Excellence & Quality: A dedication to producing high-quality design work that is both functional and aesthetically refined, particularly in complex technical domains.
• Efficiency & Optimization: A focus on streamlining processes, both within the design team and for the end-user, often leveraging AI for improvements.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to work seamlessly with Product Managers to define requirements and strategy, and with ML Engineers and Software Engineers to ensure technical feasibility and effective implementation of AI features.
• Feedback Rich Environment: An open culture for giving and receiving constructive feedback during design reviews, critiques, and ongoing project discussions.
• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings related to AI tools and design methodologies across the team.
• Proactive Communication: Maintaining clear and consistent communication through various digital channels to keep stakeholders informed and aligned.

📝 Enhancement Note: The team culture at Rescale likely reflects a blend of technical rigor, innovative thinking, and a collaborative spirit essential for developing cutting-edge AI-powered products. Designers are expected to be proactive contributors who can influence product direction.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI tools, techniques, and best practices requires continuous learning and adaptation.
• Designing for Complex Technical Users: Understanding and effectively designing for the unique needs and workflows of engineers and scientists working with HPC and complex simulations.
• Integrating AI Seamlessly: Ensuring that AI-augmented features enhance, rather than complicate, the user experience and genuinely solve user problems.
• Balancing AI Capabilities with User Needs: Identifying the right opportunities to apply AI where it provides significant value, rather than incorporating it for its own sake.
• Cross-Functional Alignment: Effectively managing communication and expectations with technical teams (ML Engineers, Software Engineers) who may have different perspectives on design and implementation.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in prompt engineering, AI workflow creation, and the application of generative AI in product design.
• Industry Exposure: Gain firsthand experience with cutting-edge HPC and AI simulation technologies used by leading global companies.
• Advanced UX Research: Develop skills in ML-powered user research and data analysis techniques.
• Leadership Development: Opportunities to lead design initiatives, mentor junior designers, and contribute to strategic product decisions.
• Access to Tools & Training: Potential for company-sponsored access to new AI tools, training programs, and industry conferences relevant to AI and design.

📝 Enhancement Note: This role presents opportunities to tackle significant challenges at the forefront of AI and design, offering substantial professional growth and the chance to shape the future of how technical professionals work.

💡 Interview Preparation

Strategy Questions:

• AI Workflow Design: "Describe a custom AI workflow you've built for a design task. What problem did it solve, what tools did you use, and what was the impact?"
  • Preparation: Be ready to detail a specific instance, including prompt engineering strategies and measurable outcomes.
• AI in User Research: "How have you leveraged AI tools to synthesize user research data or identify user behavior patterns? Walk us through an example."
  • Preparation: Prepare a case study showing how AI enhanced your research process and led to actionable design insights.
• Complex System Design: "Walk us through the design process for a complex technical product or feature you've worked on. How did you ensure scalability and usability for expert users?"
  • Preparation: Select a portfolio piece that best showcases your experience with intricate workflows and technical audiences.
• AI Feature Design: "Imagine designing an AI-powered feature for optimizing HPC job allocation. What are the key user considerations, and how would you approach the design?"
  • Preparation: Think about the user journey, potential AI inputs/outputs, and how to present complex information clearly.
• Collaboration with Engineers: "How do you typically collaborate with ML Engineers and Software Engineers throughout the product development lifecycle, especially when working on AI-driven features?"
  • Preparation: Prepare examples of successful cross-functional collaboration and how you bridge the gap between design and technical implementation.

Company & Culture Questions:

• "What excites you most about Rescale's mission and its AI-native platform?"
  • Preparation: Research Rescale's recent news, product updates, and market position. Understand their value proposition for engineers.
• "How do you stay current with the latest trends in AI and product design?"
  • Preparation: Be ready to discuss your learning habits, communities you follow, and any thought leadership you engage with.
• "Describe your ideal team environment and how you contribute to a positive design culture."
  • Preparation: Reflect on your preferred collaboration styles and how you foster innovation and quality within a team.

Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, starting with the problem statement, your role, the process, key design decisions (especially AI-related), challenges, and finally, the outcomes and impact.
• Visuals: Use clear, high-fidelity mockups, prototypes, and relevant data visualizations. For AI-specific projects, consider showing the AI tools or outputs used.
• Narrative: Tell a compelling story for each project, focusing on the "why" behind your decisions and the value delivered.
• Quantify Impact: Back up your claims with data whenever possible (e.g., "reduced task completion time by X%," "increased feature adoption by Y%").
• AI Integration Focus: Explicitly call out how AI was used, the specific prompts or workflows, and the resultant benefits for the design process or the end-user.
• Engagement: Be prepared for questions and engage in a discussion about your work, demonstrating critical thinking and adaptability.

📝 Enhancement Note: Candidates should be prepared to not only showcase their design skills but also to articulate their strategic thinking around AI integration and its impact on user experience and business goals. Demonstrating a proactive approach to learning and a deep understanding of the target user is crucial.

📌 Application Steps

To apply for this Senior AI Product Designer position:

• Submit your application through the provided Ashby link.
• Portfolio Customization: Ensure your portfolio prominently features projects that demonstrate your experience with AI-augmented design workflows, complex technical systems, and enterprise B2B software. Highlight specific instances where AI tools accelerated your design process or improved product outcomes.
• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "AI Design Tools," "Prompt Engineering," "Figma," "Enterprise Software," "HPC," and "Design Systems." Quantify your achievements and responsibilities wherever possible, particularly those related to revenue impact or efficiency gains.
• Interview Preparation: Practice articulating your design process, especially concerning AI integration and handling complex technical challenges. Prepare specific examples for common interview questions related to your portfolio, AI tool usage, and cross-functional collaboration.
• Company Research: Thoroughly research Rescale, its AI-native platform, its target industries, and its company culture. Understand their mission and how your skills in AI-augmented design align with their goals.

⚠️ 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.