Senior Technical Product Manager @ Deutsche Telekom TSI Hungary Kft.

• Experience: 5+ years in technical product ownership/management or engineering leadership with a track record of delivering production platforms.
• Technical Fluency: Strong knowledge across AI/ML and cloud-native infrastructure, capable of leading decisions on performance and cost without writing code.
• AI Knowledge: Extensive and up-to-date knowledge of the latest trends in AI.
• Language Skills: Fluent in both German and English (written and verbal) to collaborate with German-speaking customers and international teams.
• Soft Skills: Customer-centric mindset with excellent communication skills to influence senior stakeholders.

Preferred Experience

• Background in building enterprise-grade, compliant, and observable AI/ML products or cloud services.
• Experience with the Open Source AI and NVIDIA AI Enterprise ecosystem (e.g., NVIDIA NIM, NeMo, vLLM).

As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

 

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

,[Product Strategy: Own the strategy, roadmap, and backlog for a portfolio of AI platform services, including training, fine-tuning, and inference., Requirements Engineering: Understand business and user needs and translate them into clear product requirements., Service Definition: Define the service catalog, SLAs/SLOs, packaging, and pricing models in partnership with Engineering, Finance, and Sales., Lifecycle Management: Guide the development process, prioritizing initiatives for maximum impact, and run product discovery and pilots with anchor customers., Metrics & Communication: Establish product metrics and communicate progress, trade-offs, and clear documentation (PRDs, release notes) to stakeholders.] Requirements: AI, ML, Cloud, Communication skills, Open source, NVIDIA Additionally: Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.

Kategorie

productManagement

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