
Science and technology company
Staff Product Manager, Applied AI (f/m/d)
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
The Staff Product Manager, Applied AI is a senior individual contributor responsible for defining and delivering high‑impact AI‑enabled products and capabilities across Cytiva’s data ecosystem. The role focuses on turning complex business and customer problems into production‑grade, trusted AI solutions that scale across teams and use cases.
This position reports to the Director, Product Management – Data Products and is part of the Digital, Data & AI team located in Krakow, Poland and will be an on-site role.
What you will do:
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Own the product strategy and roadmap for applied AI capabilities within the Data Products portfolio, aligned to business and customer outcomes.
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Identify, frame, and prioritize high‑value AI use cases, translating them into clear product requirements, success metrics, and delivery plans.
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Lead end‑to‑end product discovery and delivery, using experimentation, analytics, and customer feedback to drive continuous improvement.
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Partner with engineering and MLOps to deliver production‑ready AI solutions, including evaluation, monitoring, model lifecycle management, and operational readiness.
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Influence and align cross‑functional and senior stakeholders, clearly communicating tradeoffs, risks, and decisions to drive execution.
Who you are:
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Bachelor’s degree in a relevant field (e.g., computer science, engineering, life sciences) or equivalent practical experience.
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8+ years of product management experience, including ownership of complex data‑ or AI‑enabled products from discovery through scaled production.
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Strong product judgment and craftsmanship, including problem framing, prioritization, metrics definition, and clear communication of strategy and decisions.
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Experience building platform or capability‑based products (e.g., shared services, APIs, reusable components) used by multiple teams or business units.
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Working knowledge of applied AI product patterns, including model integration, orchestration, retrieval/grounding, evaluation, and safety considerations.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
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关于Danaher

Danaher
PublicDanaher Corporation is an American healthcare company headquartered in Washington, D.C.. It develops products used for advances in biotechnology, life sciences, and diagnostics.
10,001+
员工数
Washington
总部位置
$160B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
4.1
职业发展
3.0
管理层
4.0
72%
推荐率
优点
Supportive management and leadership
Great team culture and collaboration
Excellent benefits and health plans
缺点
Heavy workload and frequent overtime
Fast-paced and stressful environment
Limited advancement opportunities
薪资范围
26个数据点
Senior
Senior · Senior Product Manager
0份报告
$177,750
年薪总额
基本工资
-
股票
-
奖金
-
$150,088
$205,413
面试评价
1条评价
难度
1.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Skills Assessment
5
Final Interview
6
Offer
常见问题
Administrative Skills
Behavioral/STAR
Past Experience
Software Proficiency
Time Management
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