Productmanager (f/m/d) Public Cloud

Tasks

At IONOS, the leading European provider of cloud sovereign infrastructure, cloud services and hosting services, you will work together with a wide range of teams. We are characterized by open structures, a friendly working culture and flat hierarchies with a strong team spirit. We firmly believe that work and fun are compatible, and offer you the right environment for this. Our constant growth means that we are always looking for new colleagues. Become part of IONOS and grow with us.

Tasks

• Develop and implement commercial product strategies and plans in line with business objectives.
• Create business cases for commercial activities and define service pricing.
• Close collaboration with teams from development and operations engineering, as well as marketing and sales, to coordinate the go-to-market strategy for product launches and adjustments.
• Define and monitor product success metrics and derive appropriate measures for optimization.
• Develop and maintain business relationships with external partners and stakeholders.
• Conduct market and competitive analyses to identify business opportunities and respond to market trends.
• Create robust business cases and define competitive pricing models for high-performance resources, specifically optimized for GPU instances and AI model hosting.
• Conduct deep-dive market and competitive analyses of the AI infrastructure landscape to position IONOS as a cost-effective, high-performance sovereign solution provider.
• Supporting the business with your expertise Silicon vendors (e.g. NVIDIA) and AI software frameworks to ensure our infrastructure supports modern Open Source LLM deployments (e.g. OpenAI, Meta, Mistral, Black Forest Labs).

Qualifications

• Master’s/Bachelor’s degree in Business Administration, Engineering, Computer Science, or a comparable field.
• Cloud & AI Expertise or relevant experience in a Cloud Provider environment with a deep understanding of the AI lifecycle—from infrastructure requirements for training to the unit economics of inference.
• Strong technical understanding of GPU’s stacks or hardware accelerators and their role in modern software stacks.
• Proven ability to translate complex technical capabilities (like RDMA networking or GPU memory bandwidth) into compelling commercial value propositions for customers.
• Excellent skills in data-driven decision-making and the ability to build complex business cases in a growth-oriented environment.
• Fluent in English (written and spoken) with the ability to explain technical AI concepts to non-technical stakeholders. German language skills are advantageous but not mandatory.

Benefits

• Hybrid working model.
• Flexible working hours through trust-based working hours.
• At some locations a subsidized canteen and various free drinks.
• Modern office space with very good transport connections.
• Various employee discounts for activities and products.
• Employee events such as summer and winter parties, as well as workshops.
• Numerous training and development opportunities.
• Various health offers, such as sports and health courses.