Darum lohnt es sich
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.
Partnering with data science teams on model lifecycle topics such as data pipelines, model versioning, spectral databases, QA Scan workflows, residual and outlier monitoring Technical Product Manager: Bioanalytics Software & Infrastructure
Location: Germany Hybrid: Esslingen am Neckar / remote by agreement Full-time Level: Experienced individual contributor
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.
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.
