VP of AI for Practical Product Innovation

VP of AI for Practical Product Innovation

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Downtown Music

At a Glance

  • Tasks: Lead AI adoption in product development and modernise engineering workflows.
  • Company: Downtown Music, a forward-thinking player in the music industry.
  • Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on practical product innovation.
  • Why this job: Drive innovation in music with cutting-edge AI technology.
  • Qualifications: Experience in AI/ML leadership and improving workflows.

The predicted salary is between 70000 - 90000 Β£ per year.

Downtown Music in the United Kingdom is seeking a VP of AI to lead practical AI adoption in product development and engineering workflows. This hands-on role involves collaborating with teams to modernize processes, develop AI capabilities, and deliver value through proprietary models.

The ideal candidate has experience in AI/ML leadership, improving workflows with modern tooling, and fostering collaborative change within organizations. This position offers a unique chance to drive innovation in the music industry.

VP of AI for Practical Product Innovation employer: Downtown Music

Downtown Music is an exceptional employer that champions innovation and collaboration in the heart of the United Kingdom's vibrant music scene. With a strong commitment to employee growth, we offer extensive professional development opportunities and a supportive work culture that encourages creativity and forward-thinking. Join us to be at the forefront of AI adoption in product development, where your contributions will directly impact the future of music technology.

Downtown Music

Contact Details:

Downtown Music Recruitment Team

We think you need these skills to ace VP of AI for Practical Product Innovation

AI/ML Leadership
Product Development
Engineering Workflows
Collaboration Skills
Process Modernisation
AI Capabilities Development
Proprietary Model Delivery