AI Deployment Manager

The role

The AI Deployment Manager works with clients to turn business needs into practical AI solutions and measurable outcomes. You will lead work in either building AI products and workflows with engineering teams or enabling client adoption through training and workflow development.

What you will do

• Lead stakeholder and user conversations to understand business goals and workflows
• Assess AI use-case fit, feasibility, risk, timing, and potential impact
• Align client stakeholders on priorities, target users, milestones, and measures of success
• Translate business needs into product requirements, specifications, and delivery plans
• Partner with engineers through design, evaluation, iteration, launch, and handoff
• Design and lead trainings, workshops, and office hours to help people apply AI
• Co-build, test, and refine prompts, skills, and workflows with client champions
• Define success criteria and track product and adoption signals
• Manage scope, dependencies, risks, and client cadence
• Prepare and facilitate executive steering committee meetings

Required qualifications

• Meaningful depth in either Build background or Enablement background
• Product or delivery experience translating business needs into requirements and coordinating with engineering
• Ability to assess feasibility, define acceptance evidence, and manage delivery tradeoffs
• Experience in client enablement, training, learning and development, adoption, customer success, or change work
• Ability to facilitate practical learning and help users translate workflows into AI-supported practices
• Strong AI fluency
• Sound judgment across client needs, business outcomes, technical constraints, and risk
• Human-centered design mindset
• Clear facilitation, executive communication, concise writing, organization, and reliable follow-through

Nice to have

• Experience across both Build and Enablement
• MBA background
• Hands-on experience developing prompts, skills, or workflows with enterprise client teams
• Experience with adult learning, curriculum design, or adoption measurement
• Exposure to enterprise software delivery, including backlogs, requirements, sprints, or evaluation work
• Experience in finance, private equity operations, healthcare, or another domain Eliza serves

Benefits

• Competitive compensation (base salary + performance incentives tied to client outcomes)
• Equity options in a growing AI services company
• Exposure to a wide range of industries and high-impact AI problems
• Travel opportunities for on-site client engagements (if desired)

About the company

eliza is a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. They work across industries to bring real-world AI applications to life through technical expertise and client collaboration.