About Albert Invent

Albert‘s mission is to Digitalize the World of Chemistry, using data and machine learning to drastically accelerate the invention of new materials. We are looking for individuals to join our strategy team to shape and execute our value creation strategy. If you're passionate about cutting-edge technology and love working in a fast-paced startup culture, we want you on our team!

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

Albert is seeking a Product Manager to drive innovation at the intersection of laboratory workflows, structured data, and AI-driven insights. You will play a key role in shaping the product roadmap, ensuring that scientists, chemists, and researchers can seamlessly capture, analyze, and act on their data using intuitive, intelligent tools.

This role will focus on building AI-powered and data-driven experiences that enhance scientific decision-making, while ensuring usability and trust for non-data scientists. You will collaborate with a cross-functional team to deliver best-in-class products that help scientists unlock the full potential of their data.

What you'll do

• Own the product strategy and roadmap for tools that enhance data-driven decision-making in scientific workflows.
• Work closely with scientists and lab professionals to deeply understand workflows, challenges, and pain points.
• Design intuitive solutions that support structured data collection, analysis, and automation across R&D processes.
• Collaborate with engineering and AI teams to integrate AI/ML models, ensuring they deliver actionable insights while maintaining scientific integrity.
• Develop tools that make explainable AI (XAI) and data analytics accessible to non-data scientists.
• Improve reporting and BI tools to help users visualize, explore, and act on experimental data.
• Partner with UX and design teams to create intuitive interfaces that simplify complex scientific processes.
• Define and track key success metrics, leveraging data to prioritize features and continuously improve the product.

Qualifications

• 4-10 years of product management experience, ideally in B2B SaaS or scientific/technical software.
• Strong understanding of scientific R&D workflows, laboratory environments, or data-intensive processes.
• Experience building AI, ML, or data-driven products is highly desirable.
• Familiarity with explainable AI (XAI) and making AI/ML models accessible to non-experts is a strong plus.
• Strong data visualization and reporting experience to drive user-friendly analytics and insights.
• Ability to translate complex scientific workflows into intuitive, scalable software solutions.
• Excellent collaboration and communication skills to align cross-functional teams, including engineering, design, and business stakeholders.
• Technical fluency and ability to work closely with engineering teams on AI and structured data integration.
• Passion for improving scientific workflows through smart automation, AI, and user-centered design.