Senior AI Deployment Manager, Finance

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

💸 Financial Planning and Analysis (FP&A)

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Eliza

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• Lead finance discovery and process mapping with clients • Run client sessions covering finance outcomes, users, processes, systems, data, controls, exceptions, and pain points • Assess O2C, month-end close, and P2P processes for AI suitability, conventional automation, and required human judgment • Translate finance needs into product requirements, prioritized MVP scope, acceptance criteria, and an FDE work plan • Document dependencies, access needs, data quality, risks, and assumptions • Recommend implementation sequencing based on value, feasibility, timing, and quality • Manage scope, milestones, client decisions, risks, handoffs, and status through testing and client review • Partner with Forward Deployed Engineers while maintaining alignment between business requirements and technical decisions • Evaluate workflow performance using test cases and success criteria; identify failure modes and next steps • Facilitate working sessions with finance subject-matter experts and communicate progress and tradeoffs • Present updates distinguishing verified results from estimates or hypotheses • Explain workflows, limitations, review requirements, and operational handoffs to client teams • Support finance-focused pursuits and scope discussions • Coach Associates or teammates on client delivery and finance-workstream execution • Package reusable discovery questions, process maps, requirements patterns, and delivery lessons

🎯 Requirements

• 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 • Relevant experience in AP/AR, invoicing, ERP, or finance systems • 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 • Ability to 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 • Finance transformation consulting or professional-services delivery experience preferred • FP&A, program finance, or analytical experience preferred • Controller, CPA, or accounting-operations background preferred • ERP implementation, finance automation, or finance-focused AI product experience preferred • Experience in a PE-backed company preferred • Legally authorized to work in the United States • Must answer whether employment visa sponsorship will be required now or in the future

🏖️ Benefits

• 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 • Opportunity to shape reusable methods for finance AI delivery • Variety across finance processes, systems, and client environments • High-ownership role with room to grow as the OCFO practice develops • Competitive compensation including performance incentives tied to client outcomes