Product Manager, Applied AI

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Danaher Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.

📋 Description

• Own the product strategy and roadmap for applied AI capabilities within the Data Products portfolio, aligned to business and customer outcomes • Identify, frame, and prioritize high-value AI use cases, translating them into clear product requirements, success metrics, and delivery plans • Lead end-to-end product discovery and delivery, using experimentation, analytics, and customer feedback to drive continuous improvement • Partner with engineering and MLOps to deliver production-ready AI solutions, including evaluation, monitoring, model lifecycle management, and operational readiness • Influence and align cross-functional and senior stakeholders, clearly communicating tradeoffs, risks, and decisions to drive execution

🎯 Requirements

• Bachelor’s degree in a relevant field (e.g., computer science, engineering, life sciences) or equivalent practical experience • Extensive product management experience, including ownership of complex data- or AI-enabled products from discovery through scaled production • Strong product judgment and craftsmanship, including problem framing, prioritization, metrics definition, and clear communication of strategy and decisions • Experience building platform or capability-based products (e.g., shared services, APIs, reusable components) used by multiple teams or business units • Working knowledge of applied AI product patterns, including model integration, orchestration, retrieval/grounding, evaluation, and safety considerations