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Open nowPosted 5 days ago

Senior AI Deployment Manager, Finance

Eliza12 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowSenior AI Deployment Manager, FinanceEliza · United States
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Eliza postings stay open a median of 40 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 5 days ago

Eliza median: 40 days open

The posting

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.

2. 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.

3. 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.

4. 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.

5. 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.

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