AI Deployment Manager

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 66%

What it means: how likely this posting is sitting open without active hiring.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

• Lead stakeholder and user conversations to understand business goals, workflows, pain points, data readiness, and adoption barriers • Assess AI use-case fit, feasibility, risk, timing, and potential impact • Align client stakeholders on priorities, target users, milestones, and success measures • Translate business needs into product requirements, specifications, acceptance criteria, product roadmaps, and delivery plans • Partner with engineers through design, evaluation, iteration, launch, and handoff • Surface edge cases, data quality, compliance, and scalability risks • Design and lead trainings, workshops, and office hours • Co-build, test, and refine prompts, skills, and workflows with client champions • Create learning materials, curricula, and reusable templates • Define success criteria and track usage, business outcomes, and time saved • Use evaluation results, participant feedback, and adoption evidence to improve solutions • Manage scope, dependencies, risks, and client cadence • Communicate progress, decisions, and tradeoffs; raise feasibility concerns • Prepare and facilitate executive steering committee meetings • Package delivery methods, learning materials, and workflow assets for reuse

🎯 Requirements

• Meaningful depth in at least one of Build or Enablement • Product or delivery 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 translate workflows into AI-supported practices and clear adoption measures • Practical use of current AI tools and understanding of model strengths, limitations, and safeguards • Sound judgment across client needs, business outcomes, technical constraints, and risk • Human-centered design mindset and sound UX judgment • Experience using research and testing to refine solutions • Clear facilitation, executive communication, concise writing, organization, and reliable follow-through • Experience across both Build and Enablement (preferred) • MBA background (preferred) • Hands-on experience developing prompts, skills, or workflows with enterprise client teams, or experience with adult learning, curriculum design, or adoption measurement (preferred) • Exposure to enterprise software delivery, including backlogs, requirements, sprints, or evaluation work (preferred) • Experience in finance, private equity operations, healthcare, or another domain Eliza serves (preferred) • Legally authorized to work in the United States • Must not require, now or in the future, sponsorship for employment visa status

🏖️ 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) • Collaborative, mission-driven team • Meaningful AI work from client discovery through delivery or adoption • Direct work with client teams on practical AI use cases and workflows • Close partnership with engineers, client leaders, and subject-matter experts • Opportunity to shape reusable product delivery and enablement methods across engagements