Senior AI Deployment Manager, Cyber
Eliza · United States
About this role
## Senior AI Deployment Manager, Cyber ### About Us We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions—ranging from generative AI and custom LLM integrations to predictive analytics and intelligent automation. We combine deep technical expertise with hands-on client collaboration to deliver real-world AI applications. ### Job Summary The **Senior AI Deployment Manager** leads complex AI product and delivery work in **Eliza’s Cyber** vertical. You’ll act as the product counterpart to client leaders and business development—translating cybersecurity needs into feasible AI opportunities and owning delivery alignment from **discovery through launch**. This is a **founding role** in the Cyber vertical. You’ll operate independently through ambiguity, set direction for client work and teammates, and stay close enough to 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. ### Key Responsibilities 1. **Scope Cyber Opportunities and Prioritize Use Cases** - Run structured discovery with cyber stakeholders to understand workflows, risk, data readiness, and business outcomes. - Assess use-case fit, feasibility, sequencing, and the path to production; recommend what’s ready for AI and what isn’t. - Build and maintain a prioritized use-case backlog grounded in feasibility, readiness, and measurable impact. 2. **Own Product Definition and Delivery Alignment** - Translate client needs into product requirements, acceptance evidence, delivery plans, and product roadmaps engineers can execute. - Partner with forward-deployed engineers through design, evaluation, iteration, launch, and handoff; surface edge cases and risks early. - Manage the gap between prototype and production, including data quality, security, compliance, and scalability. 3. **Own Outcomes and Stakeholder Trust** - 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 clearly, challenge unsuitable requests constructively, and escalate decisions at the right time. 4. **Build Cyber Delivery Capability** - Contribute AI governance and ChatGPT/Codex setup training when required. - Turn proven Cyber delivery methods into reusable playbooks, evaluations, and production-readiness practices. - Coach Associates and help enterprises move from AI experimentation to production in cyber contexts. - Support pre-sales, including drafting/reviewing SOWs, work plans, and playbooks. ### Qualifications Required - Deep cybersecurity experience and strong judgment about the context behind client problems. - Proven ability to independently lead complex client/product work through ambiguity with measurable outcomes. - Strong AI fluency: 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; know which decisions belong to product and when to bring in engineering expertise. - Clear
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