Senior AI Deployment Manager, Cyber

Eliza • Remote, US,

7d

About The Position

The Senior AI Deployment Manager leads complex AI product and delivery work in Eliza's Cyber vertical. The role serves as the product counterpart to client leaders and business development, translating cybersecurity needs into feasible AI opportunities and aligning delivery from discovery through launch. The manager works closely with forward-deployed engineers, owning product decisions while engineering partners own implementation decisions in their lane.

This is a founding role in the Cyber vertical, requiring independent work through ambiguity, direction-setting for client work and teammates, and close involvement in delivery to keep commitments and outcomes credible. Engagements may include cyber-domain discovery and, when needed, training on AI governance and Codex setup.

Eliza is AI-native and expects leaders to use AI tools in discovery, product definition, and client communication. The role calls for sound judgment about where AI is useful, where it is not, and when to involve engineering or domain expertise.

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, including practical use of current AI tools and 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, including knowing which decisions belong to product and when to involve 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.

Nice To Haves

• AI governance, cyber risk, Codex setup, or responsible AI training experience.
• Consulting or client-service experience with executive stakeholders.
• Experience building reusable delivery methods, evaluations, or workflow assets.

Responsibilities

• Run structured discovery with cybersecurity stakeholders to understand workflows, risk, data readiness, and business outcomes.
• Assess use-case fit, feasibility, sequencing, and path to production; recommend what is and is not ready for AI.
• 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 that engineers can act on.
• Partner with forward-deployed engineers through design, evaluation, iteration, launch, and handoff; surface edge cases and risks early.
• Manage the transition from prototype to production, including data quality, security, compliance, and scalability concerns.
• Align client executives, subject-matter experts, business development, and technical teams on scope, tradeoffs, timing, and measurable value.
• Define success criteria with client experts for AI systems that require ongoing performance evaluation.
• Communicate progress and risks plainly, challenge unsuitable requests constructively, and escalate decisions at the right time.
• Contribute AI governance and ChatGPT and Codex setup training when required by an engagement.
• Turn proven Cyber delivery methods into reusable playbooks, evaluations, and production-readiness practices.
• Coach Associates and help shape how enterprises move from AI experimentation to production in cyber contexts.
• Support pre-sales of cyber client engagements, including drafting and reviewing SOWs, work plans, and playbooks.

Benefits

• Competitive compensation consisting of 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed