Descripción de la oferta
About XebiaNo deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.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 visitAbout the roleWe'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. xcskxlj What You'll DoOwn product vision and multi-quarter roadmap aligned to business and scientific goalsIdentify, prioritize, and standardize high-value scientific use cases across workflowsTranslate complex scientific needs into clear product requirements for engineering and designLead cross-functional execution (engineering, data science, design, scientific stakeholders) in an Agile environmentDrive launch readiness, adoption, and continuous improvement based on user feedback and outcomesBuild strong partnerships with customers and internal scientific teamsWhat You BringBS/MS (PhD preferred) in bioinformatics, biology, or related field5+ years' relevant experience, including product management for software productsAbility to turn ambiguous scientific challenges into structured product plansExperience in pharma, biotech, or digital health preferredStrong analytical, communication, and cross-functional leadership skillsFamiliarity 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.
