AI Solutions Deployment Manager

Eliza

United States

On-site

USD 110,000 - 170,000

Full time

3 days ago
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Job summary

Eliza is seeking an AI Deployment Manager to turn business needs into practical AI solutions and measurable outcomes. You’ll lead either Build or Enablement paths, collaborating with clients, product teams, and engineers to translate requirements into deliverable AI workflows.

You’ll design trainings, co-build prompts, and track adoption while ensuring risk and data considerations are addressed. The role rewards adaptability, client outcomes, and clear communication across engagements.

Qualifications

  • Experience translating business needs into requirements and coordinating with engineering to move AI or software solutions toward launch.
  • Ability to assess feasibility, define acceptance evidence, and manage delivery tradeoffs as prototypes move toward production.
  • Experience in client enablement, training, learning and development, adoption, customer success, or change work.
  • Ability to facilitate practical learning and help users translate their workflows into AI‑supported practices and clear adoption measures.
  • Strong AI fluency: practical use of current AI tools and a clear understanding of model strengths, limitations, and safeguards.

Responsibilities

  • Discover client needs and define opportunities with stakeholders.
  • Build and deliver AI products and workflows with engineers.
  • Enablement: design trainings, prompts, and templates for client adoption.
  • Measure outcomes and improve the work by tracking usage and business impact.
  • Align stakeholders and scale proven delivery methods across engagements.

Skills

Requirements translation
Delivery coordination
AI familiarity
Executive communication
User-centered design

Job description

Eliza is seeking an AI Deployment Manager to turn business needs into practical AI solutions and measurable outcomes. You’ll lead either Build or Enablement paths, collaborating with clients, product teams, and engineers to translate requirements into deliverable AI workflows.

You’ll design trainings, co-build prompts, and track adoption while ensuring risk and data considerations are addressed. The role rewards adaptability, client outcomes, and clear communication across engagements.

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