AI Product Manager Engineer
@ Red Bull Media House

Elsbethen, Salzburg, Austria
€29,352
On Site
Full Time
Posted 22 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @redbullmediahouse.com
Recommended after applying

Job Details

Overview

Are you passionate about artificial intelligence and love building products leveraging AI and automation to push our media world to the next level? This is your chance to join the team at Red Bull Media House as an AI Product Manager Engineer. You will turn innovative ideas into scalable solutions that empower creatives to deliver extraordinary stories and experiences.

About Red Bull Media House

Red Bull Media House is an award-winning, globally distributed multi-platform media company dedicated to inspiring audiences with beyond the ordinary stories through direct-to-consumer channels and strategic partnerships. We offer premium media products across TV, mobile, digital, audio, and print.

Role Responsibilities

  • Applying AI: Bridge the gap between cutting-edge AI and real-world media applications by collaborating with creatives, editors, and content managers.
  • Product Management & Engineering: Transform ideas and prototypes into innovative, scalable, secure, and user-friendly products.
  • Research & Development: Drive innovation by exploring emerging AI technologies, executing market research, and developing proofs of concept.
  • Team & Culture: Contribute to a collaborative and supportive environment where innovation and learning are valued.

Key skills/competency

  • AI
  • Automation
  • Product Management
  • Engineering
  • Generative AI
  • Python
  • AWS
  • RAG
  • Research
  • Communication
Apply without a personalized resume

How to Get Hired at Red Bull Media House

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight AI, product management, and engineering expertise.
  • Research Red Bull Media House: Understand their media and technology culture thoroughly.
  • Tailor Your Application: Align accomplishments with AI and automation projects.
  • Prepare for Technical Interviews: Review AI frameworks, Python skills, and cloud platforms.
  • Showcase Collaborative Skills: Demonstrate cross-functional teamwork and stakeholder communication.

📝 Interview Preparation Advice

Technical Preparation

Review AI/ML frameworks and generative AI.
Practice Python coding and version control.
Study cloud platforms like AWS in detail.
Understand deployment pipelines and MLOps.

Behavioral Questions

Explain a challenging team project experience.
Describe handling conflicting priorities effectively.
Discuss communicating technical topics to non-experts.
Share experience collaborating across departments.

Frequently Asked Questions