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Fundamental

Predictive analytics platform for structured data

Founding Product Designer

Product DesignConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 7 years of experience designing technical products, including complex enterprise B2B software, with a strong background in technical web applications, enterprise platforms, or developer tools.
  • At least 1–2 years of experience designing human-in-the-loop agentic experiences, including products and workflows spanning command-line interfaces, application programming interfaces, and graphical interfaces.
  • A strong practical understanding of artificial intelligence and machine-learning workflows, their users, and the challenges of making these systems understandable and controllable.
  • A track record of addressing complex design challenges while balancing usability, technical feasibility, and performance.
  • Experience conducting user interviews, usability testing, and product discovery with technical users.
  • The ability to shape design strategy, influence product decisions, and collaborate effectively with Product and Engineering.
  • The judgment and autonomy to identify user needs, frame unclear problems, and move from early exploration to shipped experiences.
  • A portfolio demonstrating strong interaction design, systems thinking, visual execution, and measurable product impact.

Responsibilities

  • Define the principles, processes, and standards that guide product design across the company.
  • Bring design into product discovery and help shape product direction from the earliest stages.
  • Build a deep understanding of users through research, usability testing, product usage, and direct conversations.
  • Partner closely with Product and Engineering to identify user needs and turn them into clear product experiences.
  • Build and maintain an AI-native design system, including user-interface kits, interaction patterns, prompt and response patterns, agent behaviors, and style guides used across the platform and products.
  • Establish reusable components, standards, and workflows that create a consistent, intuitive experience across product surfaces and AI-powered interactions.
  • Ensure the design system follows brand guidelines while translating them effectively across interfaces, intelligent behaviors, and emerging AI-native experiences.
  • Work closely with engineers and AI teams through implementation to preserve design intent, usability, accessibility, and quality.
  • Evolve the design system as products, technical capabilities, AI workflows, and user needs develop.
  • Lead design across the complete product lifecycle for predictive AI and machine-learning and generative AI workflows.
  • Design end-to-end experiences across the platform and agentic products.
  • Define how users guide agents, understand their progress, review their work, provide input, and remain in control.
  • Turn complex AI and data-science workflows into clear, intuitive experiences.
  • Explore concepts, create prototypes, test them with users, and translate validated ideas into detailed designs.
  • Balance user needs with technical feasibility, product performance, and business priorities.

Desired Qualifications

  • Use AI tools for exploration, prototyping, content, or code assistance to improve speed, quality, and team workflows.
  • Experience designing products spanning agents, command-line interfaces, application programming interfaces, and user interfaces, including developer tools, documentation, system feedback, and transitions between surfaces.
  • Experience designing cohesive experiences across code and graphical interfaces.
  • Experience mentoring designers or strengthening product-design practices.

About the Company

Fundamental

Predictive analytics platform for structured data

Fundamental offers an enterprise-grade predictive intelligence product called NEXUS, a Large Tabular Model that analyzes structured data from spreadsheets, databases, and CRM systems. It learns patterns directly from raw tabular data, eliminating the need for extensive feature engineering, and combines forecasting, classification, anomaly detection, and scenario simulation in one model. NEXUS is deployed through the AWS dashboard via a strategic partnership and was trained on Amazon SageMaker HyperPod to handle datasets with billions of rows, serving industries like financial services, healthcare, retail, and energy with seven-figure contracts for use cases like demand forecasting, price prediction, and churn analysis. The goal is to turn raw data into actionable insights that improve forecasting accuracy, reduce risk, and optimize business outcomes, setting Fundamental apart by focusing on structured data rather than unstructured text or images.

Company size
51-200
Company stage
N/A
Total funding
$255M
Headquarters
San Francisco, CA
Founded
2024

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