About Xebia

With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+ professionals working on a worldwide ambition.

We are organized in complementary service lines – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Intelligent Automation, and Microsoft.

We help the world’s top 250+ companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.

For more details, please visit www.xebia.com

About the role

We’re seeking a Scientific Product Manager (SPM) to lead the strategy, roadmap, and delivery of GenAI products across scientific domains. This role identifies high-impact scientific use cases, translates them into scalable product solutions, and drives measurable adoption and value for scientists.

What You’ll Do

• Own product vision and multi-quarter roadmap aligned to business and scientific goals
• Identify, prioritize, and standardize high-value scientific use cases across workflows
• Translate complex scientific needs into clear product requirements for engineering and design
• Lead cross-functional execution (engineering, data science, design, scientific stakeholders) in an Agile environment
• Drive launch readiness, adoption, and continuous improvement based on user feedback and outcomes
• Build strong partnerships with customers and internal scientific teams

What You Bring

• BS/MS (PhD preferred) in bioinformatics, biology, or related field
• 5+ years’ relevant experience, including product management for software products
• Ability to turn ambiguous scientific challenges into structured product plans
• Experience in pharma, biotech, or digital health preferred
• Strong analytical, communication, and cross-functional leadership skills
• Familiarity with data analysis (Python, R, or MATLAB a plus)

If you’re passionate about translating scientific innovation into scalable AI-powered products, we’d love to connect.