Technical Product Owner (AI for Engineers) (REF4873S) at Deutsche Telekom IT Solutions

, , Hungary -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Ownership, Software Development, AI Expertise, User-first Mindset, Data-driven Decision-making, Coding Experience, Developer Tools, Market Intelligence, Technical Partnership, Requirements Gathering, Tool Adoption, Engineering Collaboration, IDE Integration, LLM Services, Automated Test Generation, Intelligent Code Search

Industry

IT Services and IT Consulting

Description

Company Description 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. Job Description About the Role T-Systems is building AI capabilities to make engineers work faster and safer. We are hiring a Technical Product Owner to lead our AI-for-engineers product suite, which includes agentic coding assistants, intelligent code search, and automated test generation. Key Responsibilities Product Ownership: Own the strategy, roadmap, and backlog for AI developer tools such as coding assistants, doc Q&A, and PR summarization. Discovery & Requirements: Translate developer needs into clear user stories and run discovery sessions with engineering teams and power users. Adoption: Drive tool adoption via pilots, training, and enablement champions. Technical Partnership: Partner with ML and platform teams to optimize performance, cost, and inference options (cloud vs. on-prem). Market Intelligence: Continuously scan the AI landscape for new models and IDE integrations to update the product roadmap. Qualifications Experience: 3+ years in product ownership/management or engineering leadership, launching developer-facing products with measurable impact. Domain Knowledge: Strong understanding of software development workflows, with hands-on coding experience or deep collaboration with engineering teams. AI Expertise: Practical experience with AI-driven developer tooling (LLM assistants, code generation) and the ability to reason about accuracy and safety trade-offs. Mindset: User-first mindset for internal users with strong data-driven decision-making skills. Preferred Experience Experience integrating tools with IDEs like VS Code or JetBrains. Background in operating LLM-based services in production (e.g., vLLM, Triton, telemetry). Additional Information * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Responsibilities

The Technical Product Owner will own the strategy, roadmap, and backlog for AI developer tools, ensuring they meet the needs of engineers. They will also drive tool adoption through training and collaboration with engineering teams.