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Product manager (m/f/d) (münchen, bavaria, de)

München
Clariant International Ltd.
Produktmanager
Inserat online seit: Veröffentlicht vor 3 Std.
Beschreibung

Job ID: 40589 | Location: Munich, Bavaria, Germany



Create the future of chemical production with artificial intelligence!
At Navigance, we combine chemistry, data science, and software to make chemical production more efficient and sustainable. Our cloud-based CLARITY Prime solution helps plant operators and engineers to unlock the full potential of their catalysts using cutting edge technology — and we’re looking for a Product Manager (m/f/d) to take this solution to the next level.



This is a global, cross-functional role where you will turn customer needs into easy-to-use product features. You will work closely with process engineers, data scientists, and catalyst experts, and you will guide the product development from first pilot projects to roll-out to many customers. This role is for you if you are excited about digitalization of chemical processes, and if you have the ambition to create real impact at a large number of chemical production plants of our customers.





Responsibilities:

* Drive the evolution of CLARITY Prime from pilot stage to a scalable product with powerful functionality
* Translate market insights and customer feedback into a clear product roadmap
* Draft high-level requirements and initiate user story refinement with engineering
* Collaborate with engineering, UX, and data science teams to deliver high-quality features
* Ensure quality control of UI, UX, and overall product quality before launch
* Engage with sales and service teams to craft compelling positioning and support customer adoption
* Monitor product performance, identify opportunities for improvement, and share results with stakeholders
* Contribute to building a strong product culture by focusing on user value and outcomes



Requirements:

* A degree in a relevant field (Engineering, Computer Science, Chemistry …)
* In depth knowledge of chemical process technology, in particular ammonia, methanol and hydrogen production.
* (Ideally) exposure to plant operations — understanding how to run, steer, and control a chemical plant, or a strong interest in operations excellence
* Curiosity and drive to learn fast
* First experience or strong motivation to grow in product management or industrial digitalization
* Analytical mindset, interest in working with process data, and willingness to learn new tools
* Clear and confident communication style — comfortable working with engineers and commercial teams alike
* Passion for solving real customer problems and making production more sustainable
* Basic coding experience (Python, JavaScript)
* Familiarity with cloud technologies
* Experience in Agile methodologies
* Relentless customer empathy and focus on user needs
* Crisp, transparent communication skills across various disciplines
* Process knowledge about ammonia, methanol and hydrogen production



Our Offer:

* A chance to work on real impact projects at the intersection of chemistry and digital technology
* A international, interdisciplinary, and agile team that supports you to grow
* You will be given the space to develop ideas and create significant impact through digital projects that drive sustainability in chemical operations.
* We reward the value you bring with an attractive remuneration and benefits of a modern company.



Your Contact:

Rodrigo Wintersteller Talent Acquisition Partner EMEA +49 69 305 80582

↵

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Navigance supports chemical production processes with advanced data analytics and the latest AI-based tools in an easy to use web-based interface, so that our customers reach optimal performance of their plants and improve sustainability. We do this by guiding operators, partnering with plant engineers and supporting production managers to reach their goals. We use a unique combination of data modeling know-how, machine learning and catalytic process expertise to build and deliver customer-specific process models in a cloud-based platform. Our team consists of process engineers, data scientists, software developers and market experts.

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