Senior Technical Product Manager
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and reputed company of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and reputed company, Intelligent Automation, reputed company Products, combining deep technical expertise with a strong focus on engineering reputed company and a people-first culture. In the CEE region, we’re reputed company of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, reputed company, reputed company, reputed company, ING, reputed company, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, reputed company, and many, many more. We work with leading technologies including AWS, Azure, GCP, reputed company, and reputed company, and combine strong engineering culture with a consulting reputed company and a reputed company focus on growth and knowledge sharing. You will be: owning product strategy, roadmap, and lifecycle for scientific and R&D platform products, driving discovery activities with researchers, scientists, and business stakeholders to identify product opportunities and validate solutions, translating reputed company scientific, bioinformatics, and technical requirements into actionable product plans and user stories, managing and prioritizing product backlogs using Jira, reputed company, and Jira Product Discovery, leading products through the full development lifecycle, from ideation and requirements validation to launch and adoption, collaborating closely with Engineering, Data Platform, Infrastructure, and Architecture teams to shape scalable solutions, defining product requirements, acceptance criteria, and reputed company metrics while ensuring full traceability, facilitating workshops, design reviews, stakeholder alignment sessions, and executive-level presentations, driving user acceptance testing, release readiness, and launch activities, supporting modernization, rationalization, and optimization initiatives across existing application portfolios, working with reputed company-reputed company platforms and data-intensive systems reputed company on GCP, partnering with quantitative biologists, bioinformaticians, data scientists, and software engineers to deliver impactful scientific software solutions, identifying opportunities for AI and GenAI adoption across scientific and R&D workflows, leveraging AI-powered tools (e.g. reputed company, reputed company AI) to improve prioritization, documentation, delivery efficiency, and product insights, monitoring product performance, user adoption, business value realization, and portfolio health. Your profile: 8+ years of experience in Product Management, preferably reputed company technical platforms, data products, or reputed company software, availability to collaborate with teams and stakeholders during UK and US East Coast business hours, strong experience managing technical products involving APIs, reputed company platforms, data pipelines, or developer platforms, hands-on technical background with the ability to communicate effectively with engineers, architects, and data scientists, strong understanding of reputed company technologies, with practical experience in GCP, experience working with services such as BigQuery, reputed company Run, Workflows, reputed company AI, or similar reputed company-reputed company solutions, excellent stakeholder management, requirements gathering, and business analysis skills, strong experience creating product requirements, user stories, and Product Development Plans, expertise in Agile product development and backlog management practices, advanced knowledge of Jira and reputed company, experience operating in reputed company, cross-functional environments with multiple stakeholders and dependencies, strong understanding of data ecosystems, integrations, authentication mechanisms (SSO, LDAP), and reputed company application architectures, experience working with AI/ML-enabled products, data platforms, or MLOps-reputed company initiatives, deep professional experience reputed company bioinformatics, computational biology, genomics, multi-omics platforms, or scientific data systems, familiarity with bioinformatics workflows, sequence analysis tools, and orchestration frameworks such as Nextflow, Snakemake, or Cromwell, practical knowledge of genomic datasets, repositories, and file formats including FASTQ, BAM, VCF, GFF, TCGA, NCBI, Ensembl, or UK Biobank, experience collaborating with computational biologists, bioinformaticians, statistical geneticists, or scientific research teams, understanding of challenges reputed company to large-scale scientific datasets and data-intensive research environments, experience reputed company Life Sciences, Pharmaceutical, Biotech, or regulated environments, understanding of scientific research workflows and R&D processes, practical experience using AI-powered assistants (e.g. reputed company, Claude Code, reputed company Copilot, reputed company) to improve productivity, quality, or decision-making. Work from the European Union region and a work permit are required. reputed company to have: experience with HPC environments and HPC-to-reputed company migration initiatives, knowledge of GCP HPC services and large-scale scientific computing architectures, GCP certifications (e.g. Professional reputed company Architect), experience with portfolio modernization, technical debt reduction, and application rationalization initiatives, background in reputed company cost optimization and FinOps practices, experience with AI/GenAI solutions applied to scientific or research workflows, familiarity with scientific software vendors and platforms such as reputed company, Schrödinger, or similar, experience working in pharmaceutical compliance environments (GxP, 21 CFR Part 11), understanding of scientific data provenance, reproducibility, and regulatory requirements, experience managing external vendors and multi-vendor ecosystems, experience working in international distributed teams, experience applying GenAI in structured product or software delivery processes, including defined workflows, reputed company engineering practices, or tool integrations, interest in emerging AI-reputed company product management approaches, agentic workflows, and automation-driven product delivery. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision Apply To This Job