---
title: 'Senior AI Deployment Manager, Finance at Eliza'
canonical: 'https://feeny.ai/job/senior-ai-deployment-manager-finance-eliza-united-states-bydgsjfarvk1'
type: 'job'
last_seen: '2026-10-27'
---

# Senior AI Deployment Manager, Finance at Eliza

- **Company:** Eliza
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-27
- **Apply:** https://jobs.ashbyhq.com/eliza/9f5605a7-444f-4ac7-8382-f8a50d7e86f4

## 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, Finance brings strong finance-domain experience to client work that applies AI to accounting and finance workflows. You will lead client discovery and delivery workstreams, turn unclear process needs into a practical implementation plan, and partner with Forward Deployed Engineers to move the work forward. The priority areas are order-to-cash, month-end accounting close, and procure-to-pay. You should understand how finance teams operate and have implemented AI workflows in real work. Deep accounting process judgment matters more than AI specialization; you should be able to learn new tools quickly, explain their limits, and bring engineering in where technical decisions require it. Eliza works AI-first and expects everyone in the company to use AI tools thoughtfully in their work. Client priorities move quickly, and the work can be ambiguous. You will receive ownership of a workstream, not a fixed script, and will be expected to communicate risks and tradeoffs early.

## Key Responsibilities

1. Lead finance discovery and process mapping

- Run client sessions to understand the finance outcome, users, current process, systems, data, controls, exceptions, and pain points.
- Focus discovery on O2C, month-end close, and P2P; establish the facts needed to assess value and feasibility.
- Identify which process steps are suitable for AI, where conventional automation is a better fit, and where human judgment must remain.

1. Define a practical implementation plan

- Translate finance needs into product requirements, prioritized MVP scope, acceptance criteria, and a work plan an FDE can build against.
- Make dependencies, access needs, data quality, risks, and assumptions explicit.
- Recommend a sequence that balances business value, feasibility, timing, and quality.

1. Own the delivery workstream

- Manage scope, milestones, client decisions, risks, handoffs, and status through testing and client review.
- Partner closely with an FDE, keeping business requirements and technical decisions aligned without taking over engineering ownership.
- Evaluate workflow performance using agreed test cases and success criteria; surface failure modes and propose next steps.

1. Build client confidence and adoption

- Facilitate working sessions with finance SMEs and communicate progress and tradeoffs in clear language.
- Present concise updates that distinguish verified results from estimates or hypotheses.
- Help client teams understand the workflow, its limitations, review requirements, and operational handoffs.

1. Contribute to the finance delivery practice

- Support finance-focused pursuits and scope discussions with grounded process and implementation judgment.
- Coach Associates or teammates on client delivery and finance-workstream execution where assigned.
- Package reusable discovery questions, process maps, requirements patterns, and delivery lessons.

## Qualifications

Required

- Strong finance-domain experience in finance transformation, program finance, corporate finance, or a related field.
- Practical knowledge of at least one of order-to-cash, month-end close, or procure-to-pay. Experience in AP/AR, invoicing, ERP, or finance systems is relevant.
- Evidence of implementing AI-supported workflows in real work; casual AI tool use alone is not enough.
- Ability to lead client-facing discovery and delivery, structure ambiguous problems, and own work through measurable review.
- Can translate finance process requirements into clear implementation considerations and partner effectively with engineers.
- Working understanding of AI capabilities and limitations, with sound judgment about human review and operational risk.
- Strong writing, presentation, stakeholder management, and prioritization skills.

## Preferred

- Finance transformation consulting or professional-services delivery experience.
- FP&A, program finance, or analytical experience.
- Controller, CPA, or accounting-operations background.
- ERP implementation, finance automation, or finance-focused AI product experience.
- Experience in a PE-backed company.

## 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)
- Direct client ownership of finance AI work from discovery through implementation planning and outcome review.
- Close partnership with engineers and finance leaders on real operational problems.
- The opportunity to shape reusable methods for finance AI delivery.
- Variety across finance processes, systems, and client environments.
- A high-ownership role with room to grow as the OCFO practice develops.

## 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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