RESPONSIBILITIES
- 5+ years of experience in media, marketing, partnerships, or strategic communications.
- Fluent in English (German or additional languages a plus).
- Proven expertise in building executive-ready decks and visual storytelling using PowerPoint or Keynote.
- Skilled in managing senior-level calendars, travel planning, and logistics in dynamic environments.
- Highly organized with a strategic mindset, connecting business, creative, and operations.
- Strong communicator, skilled at quickly synthesizing information.
- Strong expertise in media, brand, or entertainment partnerships, with high emotional intelligence to collaborate across diverse teams.
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RESPONSIBILITIES
- Minimum 10+ years in a leading marketing role within the event space (gaming, esports, sports, etc.) at Red Bull or a similar consumer-driven brand, agency, publisher, or organization—holding full content and budget responsibility
- Proven collaboration with gaming event organizers, a strong network in the gaming/esports industry, and deep familiarity with PC, console, and mobile games. Being an active gamer with hands-on knowledge of top competitive titles (e.g., CS, League of Legends, Dota 2, Valorant, Rainbow Six, Age of Empires II) is essential
- Demonstrated success as an independent project leader with a solid track record of delivering impactful initiatives, alongside strong leadership skills and the ability to inspire and manage teams
- Strong organizational talent, entrepreneurial thinking, and the ability to manage complex projects across multiple stakeholders and markets
- Excellent communication, negotiation, and project management skills; fluency in English is mandatory, with additional languages as a plus
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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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