Senior AI Deployment Manager, Cyber

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 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

• Lead complex AI product and delivery work in Eliza's Cyber vertical • Serve as product counterpart to client leaders and business development • Translate cybersecurity needs into feasible AI opportunities and own delivery alignment from discovery through launch • Run structured discovery with cyber stakeholders to understand workflows, risk, data readiness, and business outcomes • Assess use-case fit, feasibility, sequencing, and path to production • Build and maintain a prioritized use-case backlog grounded in feasibility, readiness, and measurable impact • Translate client needs into product requirements, acceptance evidence, delivery plans, and product roadmaps • Partner with forward-deployed engineers through design, evaluation, iteration, launch, and handoff • Manage prototype-to-production gaps, including data quality, security, compliance, and scalability • Align client executives, subject-matter experts, business development, and technical teams on scope, tradeoffs, timing, and measurable value • Define success criteria for AI systems requiring ongoing evaluation • Communicate progress and risks, challenge unsuitable requests, and escalate decisions appropriately • Contribute AI governance and ChatGPT/Codex setup training when required • Turn Cyber delivery methods into reusable playbooks, evaluations, and production-readiness practices • Coach Associates and help shape enterprise AI experimentation-to-production practices in cybersecurity • Support pre-sales, including drafting and reviewing SOWs, work plans, and playbooks

🎯 Requirements

• Deep cybersecurity experience and sound judgment about the operating context behind client problems • A record of independently leading complex client or product work through ambiguity and measurable outcomes • Strong AI fluency: practical use of current AI tools and a clear understanding of where models help, fail, and require evaluation • Product judgment connecting user needs, business impact, feasibility, data readiness, risk, and technical constraints • Credible partnership with engineers; knowing which decisions belong to product and when to bring in engineering expertise • Clear executive communication, concise written materials, and confidence facilitating difficult tradeoff conversations • Experience setting direction for others or coaching less-experienced delivery teammates • AI governance, cyber risk, Codex setup, or responsible AI training experience (preferred) • Consulting or client-service experience with executive stakeholders (preferred) • Experience building reusable delivery methods, evaluations, or workflow assets (preferred) • Legally authorized to work in the United States • Must answer whether employment visa sponsorship is required now or in the future

🏖️ 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) • Work at the intersection of enterprise AI delivery and a substantive cybersecurity domain • Own client outcomes and work directly with senior stakeholders • Partner closely with forward-deployed engineers building and deploying real systems • Help shape how Eliza's Cyber practice delivers AI work • Compensation and benefits details will be shared during the hiring process

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