About Xebia For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating.

Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do.

At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork.

Location: Remote, Spain

Time Zone Availability: Must be available for UK working hours

We’re looking for a Senior Product Manager – Causal Biology to join our Life Sciences R&D; team and support the digital transformation. This role combines senior product management expertise with strong scientific understanding in areas such as computational biology, bioinformatics, genomics, omics, or biological data .

You’ll own a strategic product or related set of scientific capabilities, working closely with researchers, computational scientists, engineers, data teams, and business stakeholders to drive product discovery, delivery, and measurable R&D; value.

What you'll do

- Own product strategy, roadmap, prioritization, and lifecycle management for causal biology products and scientific data capabilities.
- Drive continuous discovery through user interviews, workflow analysis, experimentation, and feedback from scientific and business stakeholders.
- Translate complex scientific and technical needs into clear product requirements, Product Development Plans, user stories, and acceptance criteria.




- Own and maintain the product backlog using Jira, Confluence, and Jira Product Discovery , making scope and priority trade-offs in partnership with engineering and Project Management.
- Lead products through requirements validation, architecture and design reviews, UAT, release readiness, and launch.
- Act as the primary product contact for researchers, computational scientists, bioinformaticians, engineering teams, and business stakeholders.
- Work closely with software engineering, data engineering, bioinformatics, and architecture teams on APIs, data flows, scientific platforms, cloud services, and integration patterns.
- Use AI tools such as Gemini Pro and Atlassian AI to improve prioritization, product insights, requirements management, and documentation.
- Track product performance through adoption, user satisfaction, business and scientific value, delivery effectiveness, and cost efficiency.

What we're looking for

Required

- 5+ years of Product Management experience, ideally with technical, platform, data, or scientific products.
- Strong experience defining product strategy, roadmaps, requirements, and product priorities in Agile or hybrid delivery environments.
- Excellent stakeholder management, user discovery, communication, and requirements documentation skills.
- Advanced experience with Jira and Confluence .
- Strong technical product background, with experience working closely with software engineering, data engineering, architecture, or data science teams.
- Good understanding of APIs, data pipelines, cloud platforms, SQL/NoSQL, and modern data architectures .




- Scientific knowledge or professional experience in computational biology, bioinformatics, genomics, omics, biological data, or a closely related life sciences domain .
- Experience working within pharmaceutical, biotechnology, healthcare, or other regulated environments , with an understanding of scientific R&D; workflows.

Nice to have

- Experience with Google Cloud Platform (GCP) .
- Experience with High Performance Computing (HPC) or HPC-to-cloud migrations.
- Knowledge of MLOps, AI/ML platforms, or GenAI applications for scientific workflows.
- Experience with scientific data platforms, large scientific datasets, or data provenance and reproducibility.
- Experience with product modernization, application rationalization, technical debt reduction, or cost optimization.
- Familiarity with life sciences platforms such as Benchling or Schrödinger .
- Relevant cloud certifications, such as Google Professional Cloud Architect .

What we offer

- Full-time permanent contract.
- Salary range: €60,000–€65,000 gross per year , depending on experience, skills, and performance throughout the assessment process.
- 27 days of annual leave plus national public holidays.
- 100% remote work with adaptable working hours.
- Flexible Compensation Plan covering meals, transport, private healthcare, childcare, and training, with tax-saving benefits.
- Private Health Insurance fully funded by Xebia, including mental health support.
- Wellhub membership with access to wellbeing apps and gym plans.
- Benefits Hub with exclusive employee discounts.
- Paid Wellbeing Leave through our internal time-bank system for medical appointments and short-term health needs.
- Remote Work Allowance of €25/month .
- €900 annual learning budget for certifications, training, conferences, and professional development.
- Referral Program , with rewards of €1,000–€2,000 when a referred candidate joins the team.

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