Staff UX Designer

About Albert Invent

Albert‘s mission is to Digitize the World of Chemistry, using data and AI/ML to drastically accelerate the invention of new materials. Built by innovators, for innovators, our platform is trusted by thousands of scientists across 30+ countries to accelerate product development and get groundbreaking discoveries to market faster than

ever. We eliminate the chaos of siloed and disconnected lab systems, replacing them with a unified, AI-powered platform that fuels data harmony, efficiency, and game-changing breakthroughs.

Why Albert

• We have a huge impact. Albert is a small team with a big reach. Our Platform facilitates the invention of materials for tens of thousands of companies and hundreds of thousands of applications - from coatings used on rockets to adhesives used in electric vehicles to 3D printed medical devices.
• We love distributed teams. Albert’s home-base is in the Bay Area, but we have multiple offices and employees sprinkled around the globe. In fact, over 50% of our employees work outside of California! An international remote culture is in our DNA.
• We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard.
• We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day.
• We’re always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit please apply!

About the role

We’re looking for a Staff UX Designer to shape the future of one of the world’s largest industries. If you’re thoughtful, results-driven, and passionate about high-quality design, you’ll thrive here.

This role will focus on designing AI-powered and data-driven experiences that enhance scientific decision-making, while ensuring usability and trust for non-data scientists. You will craft workflows for model explainability that help scientists unlock the full potential of their structured data. In this specialist role, you’ll still own the full design lifecycle—from research to execution—collaborating with cross-functional teams.

At Albert, we’re not just building software—we’re transforming an industry. Join us and help redefine innovation.

What you'll do

• UX for AI Model Explainability: Design user experiences that help scientists and researchers interpret complex AI models.
• Data Visualization & Workflow Optimization: Move beyond dashboards to craft intuitive workflows that turn AI/ML outputs into actionable insights.
• Systems Thinking & Simplification: Create scalable design patterns for information-rich UI with large datasets and predictive analytics. Apply strong UX foundations to design scalable, intuitive workflows
• Collaboration with Data Science & Engineering: Work closely with Data Science teams to align UX solutions with technical capabilities.
• End-to-End Ownership: Lead design projects from research, to concept to execution, ensuring a high standard of usability and impact to end users.
• Leadership & Influence: Effectively communicate design decisions and rationale across teams and stakeholders.

Qualifications

Must Haves:

• 6+ years in SaaS product design with a track record of shipping products in an agile environment
• Experience designing interfaces for AI/ML-driven products, with a focus on model explainability beyond static dashboards and LLM chat workflows.
• Strong ability to synthesize data visualizations into clear user workflows
• Understanding of AI/ML fundamentals to collaborate effectively with Data Scientists and PMs.
• Deep working knowledge of UX fundamentals from academic training (Bachelors or Masters in UI/UX) or industry experience.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience in fast paced startups or startup-like environments.
• Background in chemical/material sciences or scientific research.

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