Descripción de la oferta
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 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.
