--- title: 'Associate AI Deployment Manager at Eliza' canonical: 'https://feeny.ai/job/associate-ai-deployment-manager-eliza-united-states-qfxn9svcye6x' type: 'job' last_seen: '2026-10-27' --- # Associate AI Deployment Manager at Eliza - **Company:** Eliza - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-27 - **Apply:** https://jobs.ashbyhq.com/eliza/4e343e43-8db7-4aac-b0a2-5a84d24385ff ## 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 Associate AI Deployment Manager executes scoped work inside client AI engagements, helping turn discovery into useful product delivery or client adoption. We’re interested in candidates with depth in either of two areas: Build, helping organize product definition and delivery with engineering teams; or Enablement, helping client teams learn and apply AI through training, workshops, and workflow development. You’ll work with an AI Deployment Manager or other workstream owner who sets direction and priorities. You’ll own assigned tasks and delivery artifacts, keep progress visible, and raise questions and blockers early. You are not expected to arrive with expertise in both Build and Enablement; you’ll have opportunities to learn across the full AI Deployment craft. Eliza is AI-native: you will use AI tools across discovery, requirements, workshop preparation, workflow building, and client communication, and explain where they help and where they fall short. Client work moves quickly and can change as new information emerges; we value sound judgment, clear communication, and reliable follow-through. ## Key Responsibilities 1. Turn discovery into clear plans and artifacts - Participate in stakeholder and user discovery; document workflows, needs, constraints, and desired outcomes. - Translate conversation and research into clear requirements, user stories, workshop plans, decision logs, product roadmaps, and next steps for the workstream owner. - Maintain current use-case and action trackers so priorities, dependencies, and open questions stay visible. 1. Build: keep product and delivery work moving - Maintain backlogs, requirements, roadmaps, and delivery artifacts as client needs and priorities change. - Coordinate practical dependencies with client partners, designers, and engineers, such as data, access, calendars, and decisions. - Run test sets or evaluation steps when needed; log failure modes and summarize evidence for review. 1. Enablement: prepare and deliver practical learning - Prepare and help facilitate trainings, persona-specific workshops, and office hours for client teams. - Build and refine exercises, prompts, skills, and workflows with client champions; document how to use them, known limitations, and review needs. - Gather participant feedback and update learning materials and follow-up actions based on what users need. 1. Make progress and outcomes visible - Track delivery progress and adoption signals such as usage, realized business outcomes, and time savings; distinguish measured results from early indications. - Prepare concise client readouts on progress, decisions, risks, and next steps. - Keep notes, action items, workshop materials, and assigned engagement artifacts current. 1. Work well across the delivery team - Coordinate with client stakeholders and Eliza delivery partners to keep assigned work on track. - Raise blockers, feasibility concerns, and risks early so the workstream owner can respond. - Use feedback and evidence to improve the work and contribute reusable delivery or learning assets. ## Qualifications Required You should bring meaningful experience in at least one of the following areas. Experience across both is welcome but not required. Build background - Experience in product, consulting, technical program management, customer success, or a related setting, with examples of turning conversations into requirements, plans, or delivery artifacts. - Strong organization and follow-through across tasks, backlogs, dependencies, testing, or client workstreams. Enablement background - Experience in client-facing delivery, training, facilitation, learning and development, adoption, or a related setting. - Ability to prepare clear learning materials, explain AI in practical terms, and help users apply new tools in their workflows. Shared strengths - Strong AI fluency: practical use of current AI tools and a working understanding of their capabilities, limitations, and safeguards. - Clear written and verbal communication; able to work with business stakeholders and technical teams without jargon or overselling. - Human-centered design mindset: translate user needs into intuitive AI experiences, apply sound UX judgment, and use research and testing to refine solutions. - Sound organization, reliable follow-through, comfort with changing needs, and a habit of asking sharp questions and escalating early. ## Preferred - Experience across both Build and Enablement. - Hands-on experience with prompts, skills, or lightweight automations; or experience designing training content or facilitating workshops. - Exposure to enterprise software delivery, including requirements, backlogs, sprints, QA, or evaluation work. ## How we’ll know it’s working - 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). - Deliver inside real client engagements and build the full AI Deployment craft through hands-on work. - Work with client teams on practical AI products, workflows, and adoption. - Partner with AI Deployment Managers, engineers, client champions, and leaders. - Contribute to reusable playbooks, workshop materials, and delivery assets. ## 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) ## Other roles at Eliza - [AI Deployment Manager](https://feeny.ai/job/ai-deployment-manager-eliza-united-states-v1nhem69p42k) — United States - [Senior Forward Deployed Engineer, Cyber](https://feeny.ai/job/senior-forward-deployed-engineer-cyber-eliza-united-states-4khggkw47gqw) — United States - [Senior AI Deployment Manager, Finance](https://feeny.ai/job/senior-ai-deployment-manager-finance-eliza-united-states-bydgsjfarvk1) — United States - [Principal AI Deployment Manager, Controller](https://feeny.ai/job/principal-ai-deployment-manager-controller-eliza-united-states-wsmank7dtq9s) — United States - [Partner Sales Executive, OpenAI](https://feeny.ai/job/partner-sales-executive-openai-eliza-new-york-3q558j7bcnbp) — New York, NY - [Lead AI Experience Designer](https://feeny.ai/job/lead-ai-experience-designer-eliza-united-states-b82n2xtykx87) — United States - [Partner AI Deployment Engineer](https://feeny.ai/job/partner-ai-deployment-engineer-eliza-united-states-ttnkna4bcfe8) — United States - [GTM Forward Deployed Engineer](https://feeny.ai/job/gtm-forward-deployed-engineer-eliza-united-states-s8ztmvztv4vz) — United States - [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-eliza-united-states-27a2djjbbdga) — United States - [Lead Forward Deployed Engineer](https://feeny.ai/job/lead-forward-deployed-engineer-eliza-united-states-bxkztve8rqeq) — United States