42 English-speaking jobs in Linz

As a TMR Coordinator, you will define, edit, and publish global Transformers Manufacturing Regulations. You will collaborate with production specialists, product engineers, and management to develop and update documentation. You will also support the continuous improvement of existing products and manage responsibilities from production materials storage to commissioning.

The Chief Engineer - Generator/Mechanical Engineering defines and governs global engineering standards for hydropower technologies, ensuring technical excellence and competitiveness. This role provides strategic technical leadership on complex projects, shapes technology roadmaps, and drives continuous improvement in mechanical engineering practices.

Associate Account Manager will support the delivery and adoption of peripheral vascular therapies in hospitals. Responsibilities include clinical case support, product education, and reporting field insights. Requires a minimum Bachelor's degree and 2 years of experience in a clinical or healthcare environment. Extensive travel is required.

Design, build, and maintain data systems for analytics and AI applications. Develop and optimize data pipelines, implement data retrieval pipelines, and ensure data quality. Collaborate with AI Engineers and Software Engineers to translate business requirements into data solutions.

Lead, coach, and develop a distributed team of Customer Success Managers across EMEA. Ensure excellent customer experience throughout the entire lifecycle (onboarding, adoption, value realization, renewal). Drive customer retention and expansion through data-driven decision-making and clear prioritization. Collaborate with Sales, Product, Support, and other stakeholders to deliver optimal customer outcomes. Develop and scale Customer Success processes, playbooks, and best practices. Represent the voice of the customer internally and influence strategic decisions.

Processes reservation requests, changes, and cancellations via phone, fax, or mail. Identifies guest needs, verifies availability, and explains policies. Handles special requests and answers questions about property facilities and accommodations. Inputs and accesses data in reservation systems and manages group room blocks. Communicates with guests and colleagues professionally and effectively.

Platform Performance Engineers with an AI-first mindset partner with engineering teams to monitor, analyze, and optimize performance across complex distributed systems. They leverage AI tools and agent-based workflows to accelerate root cause analysis, identify patterns, and reduce manual toil.

Develops cross-platform agents that capture performance data from applications built with React Native, Flutter, .NET MAUI, and Cordova. Conducts research and technical investigations to determine feasibility within React Native internals. Builds, maintains, and improves features, ensuring adherence to best practices and standards. Collaborates with international teams to solve problems and drive decisions.

Lead and manage a team of 10-15 Software Engineers, owning end-to-end delivery, timelines, quality, and production releases. Drive the team's roadmap and backlog, translating product vision into actionable plans. Champion an AI-first engineering culture by introducing AI-driven SDLC practices and agentic systems. Lead, mentor, and grow the engineering team, taking responsibility for professional development, promotions, and compensation planning.

Design and build evaluation and simulation capabilities for AI agents at Dynatrace. Responsibilities include defining metrics, datasets, and judging strategies, building infrastructure for agent simulations, and developing developer-facing CLIs for AI Observability data.

Design, develop, and maintain high-performance Go-based backend services for a multi-tenant AI agent platform. Own platform identity and access, including authentication, session/token lifecycle, and secure credential granting. Enforce multi-tenant data isolation and harden the platform against web vulnerabilities and AI-specific threats.

Define and build the marketing function for a well-funded AI startup. Own end-to-end marketing strategy, develop positioning and messaging, and execute growth experiments. Build a brand presence in the AI market and establish key performance metrics. Proven experience building marketing in an early-stage startup is required.

Lead feature developments end-to-end for cross-platform agents that capture performance data from applications built with React Native, Flutter, .NET MAUI, and Cordova. Conduct research and deep technical investigations to push the boundaries of what is possible within React Native internals.

Design, implement, and optimize Java software features across platforms. Define architecture, enhance performance, and mentor junior developers.

Lead an agile full-stack team, ensuring high code quality and technical excellence. Provide technical guidance, support sprint execution, and mentor team members.

Submit an unsolicited application to ILF Austria Talent Pool and indicate your preferred department and office. Briefly share your professional focus and desired weekly working hours.

Data Scientist with 3+ years of experience in data analysis, structuring, and teamwork. Proficiency in Python, ML libraries (Hugging Face, SpaCy, NLTK), and deep learning frameworks (TensorFlow or PyTorch). Experience preprocessing, analyzing, and managing large-scale text datasets. Strong communication skills to translate complex AI/NLP concepts into actionable insights. Collaborate with Engineering and Product teams to align technical solutions with business goals.

Develop and implement software architecture strategies, design scalable solutions, and provide technical guidance to engineering teams. Lead concept and design reviews, collaborate cross-functionally, and document architectural decisions.

Designs, implements, and deploys machine learning and deep learning models for real-world applications. Owns the end-to-end machine learning lifecycle, from data exploration to production deployment. Establishes MLOps practices and collaborates with cross-functional teams to integrate AI solutions.

Collaborate with stakeholders to analyze business processes, identify automation opportunities, and design optimized workflows. Utilize process mapping tools like SAP Signavio and contribute to agile development initiatives.