Technical Product Manager: Bioanalytics Software & Infrastructure (all genders)

About

We are looking for an experienced Technical Product Manager: Bioanalytics Software & Infrastructure (all genders).

Location: Germany hybrid: Esslingen am Neckar / remote by agreement

Full-time

Level: Experienced individual contributor

Your job is to turn scientific, software, data and deployment complexity into clear product requirements, backlog priorities, acceptance criteria, release documentation and customer-safe technical communication. You will work closely with software engineering, data science, application science, QM/QA, service, sales, marketing and selected customers. This is a hands-on role for someone who understands how scientific software is built, shipped, deployed and supported in demanding biopharma environments.

Responsibilities

• Owning technical product requirements and ensuring backlog quality for CLADE’s bioanalytics software workflows, especially Sphere, QA Scan, SpecHub/data workflows and MIRA-connected software capabilities.
• Translating scientific workflows, user needs, software and deployment constraints, as well as quality requirements into clear user stories, acceptance criteria, release notes and handover documentation.
• Collaborating closely with software engineering teams on architecture trade-offs, APIs, databases, data flows, integrations, environments, testing strategies, defect triage, CI/CD implications and release preparation.
• Coordinating product input for ART/PI planning, sprint and iteration planning, backlog refinement, dependency mapping and de-scoping recommendations.
• Understanding and documenting customer infrastructure requirements, including on-premise deployments, cloud access, data residency, network and security constraints, server environments, user access management, backups, monitoring, update processes and supportability.
• Partnering with data science teams on model lifecycle topics such as data pipelines, model versioning, spectral databases, QA Scan workflows, residual and outlier monitoring, model limitations and retraining triggers.
• Working closely with application science and domain experts to understand sample types, analytical methods, workflow constraints, method performance, customer use cases and scientific validation needs.
• Partnering with QM/QA teams on regulated software requirements including traceability, audit trail expectations, role-based access control, change management, validation evidence and release documentation.
• Supporting sales, service and marketing teams with accurate product knowledge — including clear communication of current software capabilities, limitations, available proof points and realistic expectations.
• Creating sustainable operating documentation to ensure product and workflow knowledge is scalable and not dependent on individual team members.

Qualifications

• You have 3–6+ years of experience in technical product management, product ownership, solution engineering, software product coordination, scientific software delivery or a similar role within complex B2B software environments.
• You have a strong technical understanding of modern software development processes, including requirements engineering, user stories, acceptance criteria, APIs, databases, environments, testing, versioning, release management, defect handling and developer collaboration.
• You bring a solid understanding of infrastructure and data-center topics such as cloud and on-premise environments, servers, virtual machines or containers, networking fundamentals, firewalls/VPNs, identity and access management, logging, monitoring, backups, disaster recovery, patching, supportability and data residency requirements.
• You have scientific knowledge through education or professional experience in life sciences, biotechnology, chemistry, biochemistry, bioprocess engineering, pharmaceutical sciences, analytical chemistry, spectroscopy, chemometrics, pharmaceutical QC or analytical development.
• You are able to understand biopharma workflows and translate scientific requirements into product, software, data and documentation requirements.
• You have experience working with agile software teams.
• Experience with SAFe, Agile Release Trains, PI planning or comparable scaled delivery frameworks is a plus.
• You are skilled at creating clear technical documentation, decision logs, release notes, support handovers, workflow maps and stakeholder-ready summaries.
• You have strong stakeholder management skills and enjoy collaborating across software engineering, data science, application science, quality, service, sales, marketing and customer teams.
• You are fluent in English. German is strongly preferred and may be required depending on the day-to-day internal.