RESPONSIBILITIES
- 5+ years' experience in digital strategy/content programming, digital media, or sports media.
- Proven experience in leading teams within a fast-paced, international, and creative environment.
- Passion for motorsports, the Red Bull brand, and its values, with the ability to translate them into meaningful online engagement and brand love.
- Hands-on experience managing social media accounts and/or programming websites and apps.
- Strong background in data-driven content strategy and performance evaluation. Expert understanding of digital consumer behaviour: where audiences live, how they consume content, and how to effectively engage them.
- A team player and self-starter mentality, curious, structured, with the ability to build trust and motivate teams. A good mediator who aligns and coordinates conflicts of interest.
- Fluent in English. Other languages not required but considered an asset.
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RESPONSIBILITIES
- 5+ years of experience in 16:9 content production, with expertise in social-first content (e.g., YouTube) and a genuine interest in and understanding of Red Bull sports, cultural properties, and the communities they serve.
- Knowledge of YouTube content best practices, including titles and thumbnails.
- Strong understanding of media analytics, with a proven track record of optimizing content using data.
- Experience in management and leadership within cross-functional teams.
- Proven ability to develop and implement content and production-related workflows and processes, with a solid understanding of all stages of the content production process, as well as experience in vendor and budget management.
- Excellent communication skills, with proficiency in Microsoft Suite, a passion for audience behavior, and a strong interest in the rapidly shifting media landscape.
- Team-player mentality, with a willingness to explore and try new ideas. Fluent in English.
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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RESPONSIBILITIES
- Experience in full stack web development technologies, specifically Typescript and NodeJS
- Strong knowledge in frontend technologies and frameworks (Web Components, React, CSS)
- Interest in Continuous Delivery and test automation (Playwright, Vitest)
- Experience in AI assisted coding
- Familiarity with cloud technologies and state of the art SaaS products like AWS, GitHub or Cloudinary.
- Has worked in virtual & mixed team organizations, including with outsourced partners and vendors.
- Understanding of modern web application architectures and concepts, such as islands architecture, caching, accessibility and web performance
- Knowledge of CI/CD pipelines (GitHub Actions), build tools (Webpack, Vite)
- Familiarity in using tools like Git, JIRA or Datadog.
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RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
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