---
title: 'Senior AI Deployment Manager, Cyber at Eliza'
canonical: 'https://feeny.ai/job/senior-ai-deployment-manager-cyber-eliza-united-states-56x0hct49tgn'
type: 'job'
last_seen: '2026-11-10'
---

# Senior AI Deployment Manager, Cyber at Eliza

- **Company:** Eliza
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/eliza/056e1bab-e010-4818-b247-6ffc14ecd0ae

## Job description

## About Us

We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems. Job Summary The Senior AI Deployment Manager leads complex AI product and delivery work in Eliza's Cyber vertical. You will serve 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. You will work 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. You will 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 the work calls for it, 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 technology and client context evolve quickly; sound judgment means knowing where AI is useful, where it is not, and when to bring engineering or domain expertise into a decision.

## 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; make clear recommendations on what is ready for AI and what is not.
- Build and maintain a prioritized use-case backlog grounded in feasibility, readiness, and measurable impact.

1. Own product definition and delivery alignment

- Translate client needs into product requirements, acceptance evidence, delivery plans, and product roadmaps engineers can act on.
- 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 concerns.

1. 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 with client experts for AI systems whose performance requires ongoing evaluation.
- Communicate progress and risks plainly, challenge unsuitable requests constructively, and escalate decisions at the right time.

1. Build Cyber delivery capability

- 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.

## Qualifications

Required

- 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 that connects 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 executive communication, concise written materials, and confidence facilitating difficult tradeoff conversations.
- Experience setting direction for others or coaching less-experienced delivery teammates.

## Preferred

- 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.

## What We Offer

- 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.

## About Eliza

## Company Overview
- **One-liner**: Eliza is an AI-native consulting firm that helps enterprises integrate and adopt OpenAI's technology through training, workflow redesign, and custom AI system development.
- **Entity Type**: Private (funding stage not disclosed)
- **Headquarters**: Austin, Texas, USA
- **Founded**: Not publicly available
- **Founders**: Stephen Garden (CEO) and Brian Benedict (Co-founder, Chief Commercial Officer)

## Core Business
- Primary industry: Enterprise AI Consulting & Implementation
- Target customers: B2B, Enterprise (large organizations, private equity firms, CPG companies)
- Mission: "Help enterprises integrate and adopt AI to transform operations, improve productivity, and accelerate innovation."

## Products & Services
- **Fusion**: AI fluency and training service – embeds AI Architects and enablement leaders to provide ChatGPT training and consulting, turning ChatGPT Enterprise into a productivity engine.
- **Flow**: AI-assisted workflow automation – simplifies and accelerates core processes such as customer support, employee onboarding, and finance approvals.
- **Forge**: Custom AI engineering – builds production-grade AI systems (intelligent agents, copilots, embedded automations) from proof-of-concept to deployment.
- **Client Services / Forward Deployed Engineering**: On-the-ground talent that translates business problems into AI-powered solutions, from use case discovery through delivery.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Notably, Eliza delivered $12.5M in value across deal intelligence solutions for a $4BN private equity firm and a 10,000+ user ChatGPT rollout for a global private equity firm.
- **Notable Investors/Partners**: OpenAI Services Partner
- **Growth Signals**: 57 total employees (as of latest data); actively recruiting across multiple roles; described as "rapidly growing" on careers page; team collectively scaled 6 startups to over 4,000 employees and $500M in revenue.

## Competitive Advantages
- Deep partnership with OpenAI as an official Services Partner.
- Platform-powered services delivery model combining AI product leadership with tech services entrepreneurship.
- End-to-end offerings spanning training, workflow redesign, and custom software development – moving clients beyond pilots to production.
- Leadership team with experience scaling startups to significant revenue and headcount.

## Strategic Focus
- Helping enterprises move "from AI ambition to action" – bridging the gap between frontier AI technology and real enterprise impact.
- Focusing on building AI-fluent workforces, redesigning core workflows, and shipping production-grade AI systems that deliver measurable ROI.

## Why Work Here
- **Culture**: High-trust, high-autonomy teams; "curiosity is rewarded, growth is expected, and impact is shared." Emphasis on "builders, thinkers, and doers."
- **Work style**: In-office (Austin, TX). Employees work from physical offices.
- **Growth**: Described as a "launchpad for personal and professional growth" – "we move fast, but we invest in you faster."
- **Impact**: From day one, work on projects that drive real transformation for forward-looking organizations.
- **Team**: Collaborative environment with thoughtful technologists, strategists, and creatives solving novel problems.

## Sources
1. [eliza.com](https://eliza.com/)
2. [eliza.com/careers](https://eliza.com/careers)
3. [eliza.com/about](https://eliza.com/about)
4. [jobs.ashbyhq.com/eliza](https://jobs.ashbyhq.com/eliza)
5. [builtin.com/company/eliza](https://builtin.com/company/eliza)

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