[Remote] Senior AI Deployment Manager, Finance

Note: The job is a remote job and is open to candidates in USA. Eliza is a technology services company that helps organizations build and deploy AI solutions. The Senior AI Deployment Manager, Finance leads client discovery and delivery for AI applications in accounting and finance workflows, translating process needs into implementation plans and partnering with engineers.

Responsibilities

• 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
• 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
• 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
• 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
• 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

Skills

• 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
• 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

Benefits

• 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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