Associate AI Deployment Manager

🕒 October 22

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eliza

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• Participate in stakeholder and user discovery and document workflows, needs, constraints, and desired outcomes • Translate conversations and research into requirements, user stories, workshop plans, decision logs, product roadmaps, and next steps • Maintain use-case and action trackers so priorities, dependencies, and open questions remain visible • Maintain backlogs, requirements, roadmaps, and delivery artifacts as client needs change • Coordinate dependencies with client partners, designers, and engineers, including data, access, calendars, and decisions • Run test sets or evaluation steps, log failure modes, and summarize evidence for review • Prepare and help facilitate trainings, persona-specific workshops, and office hours • Build and refine exercises, prompts, skills, and workflows with client champions • Document usage instructions, known limitations, and review needs • Gather participant feedback and update learning materials and follow-up actions • Track delivery progress and adoption signals such as usage, business outcomes, and time savings • Prepare concise client readouts on progress, decisions, risks, and next steps • Keep notes, action items, workshop materials, and engagement artifacts current • Coordinate with client stakeholders and Eliza delivery partners to keep assigned work on track • Raise blockers, feasibility concerns, and risks early • Use feedback and evidence to improve work and contribute reusable delivery or learning assets • Use AI tools across discovery, requirements, workshop preparation, workflow building, and client communication

🎯 Requirements

• Meaningful experience in at least one of Build or Enablement • Experience in product, consulting, technical program management, customer success, or a related setting, with examples of turning conversations into requirements, plans, or delivery artifacts • Strong organization and follow-through across tasks, backlogs, dependencies, testing, or client workstreams • Experience in client-facing delivery, training, facilitation, learning and development, adoption, or a related setting • Ability to prepare clear learning materials, explain AI in practical terms, and help users apply new tools in their workflows • Strong AI fluency, including practical use of current AI tools and understanding of their capabilities, limitations, and safeguards • Clear written and verbal communication with business stakeholders and technical teams • Human-centered design mindset and ability to translate user needs into intuitive AI experiences • Sound organization, reliable follow-through, comfort with changing needs, and ability to ask sharp questions and escalate early • Experience across both Build and Enablement preferred • Hands-on experience with prompts, skills, or lightweight automations, or training content and workshop facilitation preferred • Exposure to enterprise software delivery, including requirements, backlogs, sprints, QA, or evaluation work preferred • Legal authorization to work in the United States • Must answer whether employment visa sponsorship is currently or prospectively required

🏖️ Benefits

• Competitive compensation including base salary and 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 • Hands-on work inside real client engagements • Opportunities to build the full AI Deployment craft • Work with client teams on practical AI products, workflows, and adoption • Collaboration with AI Deployment Managers, engineers, client champions, and leaders • Contribution to reusable playbooks, workshop materials, and delivery assets

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