About The Position

We are looking for a senior AI Project Manager to deliver AI-enabled workflows across internal teams. This role focuses on translating business needs into structured AI use cases, coordinating cross-functional implementation, and ensuring adoption through documentation, training, and governance. You will own the lifecycle of AI initiatives, maintain a centralized AI knowledge base, and ensure solutions are reliable, reusable, and easy to use for both technical and non-technical teams.

Requirements

  • 4+ years managing cross-functional projects in digital advertising, marketing tech, or software.
  • Analytical mindset with the ability to identify system issues and unblock teams.
  • Proven experience leading AI, automation, or other innovation-focused initiatives within an organization.
  • Strong facilitation and communication skills — able to tailor discussions for both technical and non-technical audiences.
  • Familiarity with large language models, creative AI tools, and API-based workflows.
  • Clear, thoughtful communicator — you write documentation and instructions people actually use and understand.

Nice To Haves

  • Hands-on experience with prompt engineering, Python, or SQL.
  • Certifications in project management methodologies.
  • Experience in AdTech, MarTech or Client support area.

Responsibilities

  • Translate real business problems into clear AI requirements, prompts, and workflows.
  • Design context and evaluation frameworks so AI outputs are reliable, measurable, and reusable.
  • Lead AI-enabled projects involving summarization, generation, classification, or decision support.
  • Own the AI Knowledge Base and Use Case Repository, keeping documentation fresh and preventing duplicate work.
  • Deliver tailored AI trainings, workshops, and practical sessions for both technical and non-technical teams.
  • Facilitate hands-on experimentation focused on real operational needs.
  • Scout new AI tools and models, run quick POCs, and assess their value before wider adoption.
  • Build adoption roadmaps, track usage metrics, gather feedback, and iterate on workflows.
  • Support AI Champions, moderate internal AI communication channels, and contribute to a strong AI culture.
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