AI Enterprise Solutions Architect for Creative Brands

Artlist

New York (NY)

On-site

USD 130,000 - 150,000

Full time

5 days ago
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Job summary

Artlist is seeking an AI Enterprise Solution Expert to drive strategic AI sales across enterprise brands, media, and advertising. You will deliver hands-on AI expertise, embedded creative services, and proof of concepts that enable brands to produce production-ready AI content at scale.

Responsibilities include guiding clients through end-to-end AI content production, co-developing SOWs, building POCs, and creating high-impact AI case studies.

Qualifications

  • Customer facing or sales experience with proven revenue targets.
  • Background in filmmaking, creative technology, content production, or media innovation.
  • Experience with AI creative tools and emerging production workflows.
  • Excellent presentation and public speaking skills.
  • Comfortable presenting to executives, partners, and large audiences.

Responsibilities

  • Serve as the primary AI sales expert for enterprise accounts with embedded, high-touch engagement.
  • Guide clients through end-to-end AI content production and pre/post production workflows.
  • Co-develop SOWs and build POCs to move engagements from concept to execution.
  • Create high-impact AI product case studies and showcase projects.
  • Provide ongoing creative and technical support to translate demonstrations into long-term collaborations.
  • Translate product capabilities into compelling creative stories and business opportunities.
  • Support flagship initiatives and future showcase productions.

Skills

Sales experience
Public speaking
Storytelling
Organized

Job description

Artlist is seeking an AI Enterprise Solution Expert to drive strategic AI sales across enterprise brands, media, and advertising. You will deliver hands-on AI expertise, embedded creative services, and proof of concepts that enable brands to produce production-ready AI content at scale.

Responsibilities include guiding clients through end-to-end AI content production, co-developing SOWs, building POCs, and creating high-impact AI case studies.

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