Technical Product Manager (all genders)

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 communication setup.

Strong plus

• You have hands-on exposure to FTIR/MIR spectroscopy, spectral data, chemometric models, analytical method development or laboratory automation.
• You have experience working in regulated or quality-sensitive environments such as GMP, GLP, ISO, pharmaceutical manufacturing, diagnostics, medtech, 21 CFR Part 11, EU Annex 11, CSV or GAMP 5.
• You are familiar with LIMS, ELN, QMS, ERP integrations, OPC UA, REST APIs, analytical instruments, scientific data platforms or laboratory automation systems.
• You understand biologics workflows such as formulation, buffer QC, UF/DF, upstream/downstream processing, raw material testing, release testing, PS20/PS80, mAbs, ADCs, peptides, mRNA or gene therapy.
• You have hands-on experience in startup or scale-up environments where product roles need to stay pragmatic, execution-oriented and adaptable.

That´s CLADE

CLADE develops analytical tools for biopharma teams that need faster, simpler ways to characterize complex samples. Our MIRA Analyzer combines mid-infrared FTIR spectroscopy with automated measurement workflows. Our Sphere software platform, SpecHub database, QA Scan and data analytics tools help users process complex spectral data and generate multi-attribute results for biologics workflows.

• Our colleagues are bold, enabling, versatile and genuine. We support each other, dare to question ourselves and the status quo and we stay true to ourselves. If you find yourself in these values, then read to the end and get in touch with us directly.

What makes us unique

• Our company consists of motivated, passionate and open-minded people with a great drive who want to develop together with you.
• Our in-house processes are sophisticated, unbureaucratic and simple and we are big fans of short decision-making paths
• Your onboarding is important to us, so you don't have to worry about anything in the first week, you get insights into all relevant topics.
• We offer a company pension scheme, a "300 EUR - Feel Free Health Budget" per year, a kindergarten allowance of up to 180 EUR per month, a monthly internet allowance, vouchers worth 20 EUR per month, bike leasing, electronics leasing, a car subscription model and an attractive bonus model
• We live and love diversity, inclusion and internationality
• CLADEtivities: regular company-wide and also site-specific events await you
• Opportunity to participate in various committees and working groups

If you have any questions about the position or the company, you can contact our people & culture team at any time at jobs@clade.io.

If you want to learn more about us and our values, visit our homepage (www.clade.io), our LinkedIn channel ( https://www.linkedin.com/company/cladegmbh/) or Instagram channel (@peopleatclade).

Molecular vibrations are our speciality. Do you feel the vibe? Then contact us directly.

About us

Results at the speed of excellence:
CLADE offers a uniquely precise spectroscopy technology for a wide range of applications. This technology differs in its speed, efficiency and reproducibility compared to conventional complex laboratory analysis. Our product concept consists of a hardware component - our MIRA Analyzer, which performs chemical analysis in liquid environments using infrared spectroscopy within minutes. We can thus produce a digital fingerprint of a liquid in a short time. With our customized applications - our software component Sphere, we can selectively filter the acquired data using pattern recognition and algorithms and prepare it for further processing.

In the last years our approach has remained constant in two regards. First, we always question the status quo and, second, we consistently go above and beyond what we expect of ourselves.