---
title: 'Principal AI Deployment Manager, Controller at Eliza'
canonical: 'https://feeny.ai/job/principal-ai-deployment-manager-controller-eliza-united-states-wsmank7dtq9s'
type: 'job'
last_seen: '2026-10-27'
---

# Principal AI Deployment Manager, Controller 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/abd02b7f-c0cc-4487-ac9e-c04fffdb3ad3

## 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 Principal AI Deployment Manager, Controller brings controller-level accounting depth to AI implementation work across finance teams. You will work with finance leaders and subject-matter experts to understand how their processes and systems work today, identify where AI can improve them, and shape a practical path from discovery to an evaluated workflow. The work centers on order-to-cash, month-end accounting close, and procure-to-pay. You will translate accounting policies, controls, system behavior, data needs, and exceptions into clear requirements, then partner with Forward Deployed Engineers to design and deliver a finance workflow that can be tested and reviewed. This is a client-facing role for a controller who has implemented AI workflows and can connect finance judgment to technical delivery. Eliza works AI-first and expects everyone in the company to use AI tools thoughtfully in their work. We move quickly, work through ambiguity, and stay accountable for outcomes. You will receive ownership of client problems, not a fixed script.

## Key Responsibilities

1. Lead finance process discovery

- Run working sessions with controllers, accounting teams, and other client SMEs to map O2C, close, or P2P workflows, including systems, controls, handoffs, and exceptions.
- Establish the current-state baseline and clarify what a successful outcome would mean to the finance team.
- Assess process fit, data readiness, risk, and where human review or approval must remain.

1. Translate controller needs into product requirements

- Turn accounting workflows and policy requirements into structured product requirements, decision rules, acceptance criteria, product roadmap, and test cases.
- Prioritize opportunities by feasibility, finance impact, data quality, and implementation effort.
- Make clear recommendations about where AI is useful, where standard automation is sufficient, and where a process is not ready.

1. Partner on delivery with engineering

- Work closely with Forward Deployed Engineers to shape an MVP plan, clarify dependencies, and make tradeoffs across scope, quality, and timing.
- Review workflow behavior against representative finance cases, including edge conditions, exceptions, reconciliations, and audit evidence.
- Keep model limitations, data quality, access controls, and production-readiness risks visible as work moves from prototype to deployment.

1. Measure outcomes and guide adoption

- Define evaluation criteria and business outcomes with client SMEs before implementation and track results against agreed baselines.
- Present findings clearly, separate measured results from hypotheses, and recommend what to improve or test next.
- Build client confidence through accurate communication, practical training, and clear handoffs.

1. Build reusable finance delivery practices

- Turn lessons from client work into reusable process maps, requirements patterns, evaluation methods, and implementation guidance.
- Contribute controller expertise to finance-focused discovery, solution design, and pursuit planning.
- Raise delivery or client risks early and help set a high standard for finance AI work.

## Qualifications

Required

- CPA background and substantial controller or controllership experience.
- Deep experience with ERP, accounting systems, or finance systems implementations and process change.
- Strong working knowledge of core accounting and finance processes and underlying systems (e.g., order-to-cash, month-end close, or procure-to-pay)
- Evidence of implementing AI-supported workflows in finance or accounting, with a practical understanding of AI capabilities and limitations.
- Ability to translate accounting policy, controls, exceptions, and system behavior into requirements that engineering teams can implement and test.
- Client-facing communication skills and the judgment to ask precise questions, challenge assumptions, and explain tradeoffs clearly.
- Ownership of outcomes through discovery, delivery, evaluation, and client review.

## Preferred

- Controller experience in a PE-backed company.
- Experience with AI-native ERP or finance automation platforms, accounting agents, or ERP integrations.
- Finance transformation consulting or work across multiple priority finance processes.
- Experience defining evaluation methods and controls for AI systems used in finance.

## 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 work with finance leaders on practical AI deployments that affect core accounting workflows.
- Close partnership with experienced engineers and client subject-matter experts.
- The opportunity to shape how controller and accounting expertise informs AI delivery.
- Meaningful ownership from discovery through measured client outcomes.
- The opportunity to shape reusable methods for finance AI delivery.
- Variety across finance processes, systems, and client environments.
- A leadership role within a high-growth 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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