Senior Product Manager - ClimateTech AI Platform | Remote

**Overview**

Join Carbmee, a rapidly expanding European ClimateTech leader transforming how organizations tackle carbon emissions. With fresh €20M Series A funding and headquarters spanning Berlin to Munich, we're pioneering AI-driven solutions that go far beyond compliance. Our carbmee EIS™ platform processes millions of data points to solve enterprise emission challenges at scale.

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Responsibilities **

As a pivotal product strategist, you'll shape our platform's evolution while championing AI integration. Lead comprehensive product strategy focusing on data and process mining, progressively incorporating AI automation and intelligence. Transform intricate customer requirements into actionable roadmaps balancing visionary thinking with immediate impact.

Partner seamlessly with Engineering, Design, and Customer Success teams, ensuring technical viability and exceptional user experiences. Leverage analytics, user insights, and market intelligence to guide prioritization and drive continuous enhancement. Maintain stakeholder harmony through transparent communication of priorities, compromises, and goal progression.

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Requirements **

We seek candidates with substantial Product Manager experience in software environments, particularly B2B SaaS platforms. Essential qualifications include practical AI/ML knowledge with hands-on experience launching AI-enhanced features. Deep comprehension of enterprise systems (ERP, procurement, operations) and process optimization capabilities are crucial.

Demonstrate proven success converting business requirements into scalable solutions while balancing technical constraints and customer value. Collaborate effectively with engineering teams, navigating technical limitations while ensuring complete product delivery. Possess strong analytical capabilities for data-driven decision-making and measurable success evaluation.

Exceptional communication and relationship management abilities essential for team alignment and presenting strategies to diverse audiences.

Experience with technical end-users and UX sensibility preferred. Computer Science, Data Science, or related technical background advantageous.

Monday to Friday, 9 AM – 5 PM (full-time)