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Eliza

Principal AI Deployment Manager

Eliza

. Lead finance process discovery with controllers, accounting teams, and client subject-matter experts .

Posted 10/21/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in finance process discovery, mapping workflows, and translating accounting requirements into actionable product specifications. Proven ability to implement AI-supported workflows and maintain high standards in finance operations.

Highest-signal resume keywords
CPA BackgroundController ExperienceERP ImplementationAI-Supported WorkflowsClient-Facing Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Order-To-CashMonth-End CloseProcure-To-PayRequirements EngineeringProcess Change ManagementData Quality AssessmentEvaluation Criteria DefinitionFinance Process MappingRisk AssessmentImplementation Guidance
Soft Skills
JudgmentCommunicationClient Confidence BuildingQuestioning SkillsChallenge Assumptions
Tools & Technologies
AI-Native ERPFinance Automation PlatformsAccounting SystemsERP IntegrationsFinance Systems
Certifications & Qualifications
CPA
Industry Keywords
Finance Transformation ConsultingPE-Backed Company ExperienceFinance ProcessesAudit EvidenceWorkflow Behavior

Tech Stack

Tools & technologies
ERP

About the role

Key responsibilities & impact
  • Lead finance process discovery with controllers, accounting teams, and client subject-matter experts
  • Map order-to-cash, month-end close, and procure-to-pay workflows, including systems, controls, handoffs, and exceptions
  • Establish current-state baselines and define successful outcomes
  • Assess process fit, data readiness, risk, and required human review or approval
  • Translate accounting workflows and policy requirements into product requirements, decision rules, acceptance criteria, roadmaps, and test cases
  • Prioritize opportunities by feasibility, finance impact, data quality, and implementation effort
  • Recommend where AI is useful, standard automation is sufficient, or a process is not ready
  • Partner with Forward Deployed Engineers to shape MVP plans, clarify dependencies, and make scope, quality, and timing tradeoffs
  • Review workflow behavior against representative finance cases, edge conditions, exceptions, reconciliations, and audit evidence
  • Track model limitations, data quality, access controls, and production-readiness risks from prototype to deployment
  • Define evaluation criteria and business outcomes and track results against agreed baselines
  • Present findings, distinguish measured results from hypotheses, and recommend improvements or next tests
  • Build client confidence through accurate communication, practical training, and clear handoffs
  • Turn client lessons into reusable process maps, requirements patterns, evaluation methods, and implementation guidance
  • Contribute controller expertise to finance discovery, solution design, and pursuit planning
  • Raise delivery or client risks early and help maintain high standards for finance AI work

Requirements

What you’ll need
  • 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, including order-to-cash, month-end close, or procure-to-pay
  • Evidence of implementing AI-supported workflows in finance or accounting, with practical understanding of AI capabilities and limitations
  • Ability to translate accounting policy, controls, exceptions, and system behavior into requirements engineering teams can implement and test
  • Client-facing communication skills and 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
  • Preferred: Experience with AI-native ERP or finance automation platforms, accounting agents, or ERP integrations
  • Preferred: Finance transformation consulting or work across multiple priority finance processes
  • Preferred: Experience defining evaluation methods and controls for AI systems used in finance
  • Legally authorized to work in the United States
  • Must disclose whether employment visa sponsorship is required now or in the future

Benefits

Comp & perks
  • 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
  • Opportunity to shape how controller and accounting expertise informs AI delivery
  • Meaningful ownership from discovery through measured client outcomes
  • Opportunity to shape reusable methods for finance AI delivery
  • Variety across finance processes, systems, and client environments
  • Leadership role within a high-growth OCFO practice