Senior Technical Product Manager (Causal Biology)

The role

You will own product strategy, roadmaps and value validation for causal biology products or related scientific data capabilities. You will work with researchers, R&D users and engineering teams to turn scientific and technical needs into clear requirements and launches.

What you will do

• Own product strategy, roadmaps and value validation for causal biology products or related scientific data capabilities
• Drive continuous discovery with researchers and R&D users through interviews, workflow observation and feedback sessions
• Translate complex scientific and technical needs into Product Development Plans, user stories and testable acceptance criteria
• Prioritise the backlog and maintain requirements traceability in Jira, Confluence and Jira Product Discovery
• Guide products through strategy alignment, requirements validation, architecture and design reviews, and launch
• Make scope and priority decisions and coordinate with Project Managers on resources and dependencies
• Lead UAT, release decisions and launch readiness with technical, business and scientific stakeholders
• Work with engineering, data platform, bioinformatics and computational science teams on APIs, data flows, cloud platforms and integrations
• Support product modernisation, rationalisation and adoption, and monitor support requests against the product strategy
• Explore AI opportunities with client teams, including AI-supported prioritisation, analytics and requirements documentation

Required qualifications

• 8+ years of product management experience, preferably with technical, platform or data products
• Experience working closely with software engineering, data engineering or architecture teams
• Strong understanding of product discovery, business use cases, user interviews, roadmaps and backlog prioritisation
• Proven ability to map stakeholders, resolve conflicts and communicate with technical and non-technical audiences
• Experience writing clear product requirements, PRDs or Product Development Plans
• Practical knowledge of agile methods and hybrid delivery models
• Strong Jira and Confluence skills
• Ability to read technical documentation, follow data flows and discuss technical decisions with engineers and data scientists
• Scientific credibility in life sciences, computational biology, bioinformatics, genomics, omics or a closely related field
• Understanding of scientific research workflows and the needs of researchers and computational scientists
• Knowledge of cloud platforms, APIs, data pipelines and data platforms
• Working knowledge of SQL or NoSQL databases and familiarity with MLOps and AI/ML platform requirements

Nice to have

• Experience in pharmaceutical or other regulated environments, including GxP or 21 CFR Part 11
• Familiarity with scientific computing, high-performance computing (HPC) or HPC-to-cloud migrations
• Experience with GCP, including HPC-related services and configurations
• Knowledge of SSO, LDAP, zero-downtime deployments and large scientific data transfers
• Experience with scientific data provenance, reproducibility, security and regulatory requirements
• A background in AI or GenAI applications for scientific workflows
• Experience with vendor relationships, multi-vendor delivery and enterprise integrations
• A track record in product adoption, portfolio rationalisation, modernisation, technical debt reduction or cost optimisation
• Familiarity with life sciences software such as Schrödinger or Benchling
• Relevant cloud certifications

Before you apply

• Work from the European Union region and a work permit are required
• Recruitment process: CV review, HR call, interview, client interview, decision

About the company

Xebia is a global AI-first, digital transformation and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries. In the CEE region, the team is nearly 1,000 experts delivering modern applications, data platforms and AI solutions.