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Technical Product Manager

CLADE

On-site 4d ago

About the role

Do we belong together? 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. You will be... - 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. You're a good fit for us if... Must-have - 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

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