Product Manager - AP Invoice Management Digital Worker

Location: Product Manager - AP Invoice Management Digital Worker
Duration: 4-6+ Months
Location: Remote

Only W2

Role Overview
We're building the next generation of agentic AI products at Client under Zora AI™ - a portfolio of specialized digital workers that autonomously execute complex enterprise functions. We're hiring a Product Manager to own the AP (Accounts Payable) Invoice Management digital worker : an agent that takes invoices from receipt through match, exception handling, tax determination, approval, and payment.
You'll partner with engineering, AI research, finance subject matter experts, and design to define what this agent does, how it integrates with client ERP environments (SAP and Oracle), and how it earns trust in regulated finance workflows. You will be both a product strategist and a domain practitioner - close to the work, close to the customer, and accountable for outcomes.


What You'll Do

• Own the roadmap, requirements, and release plan for the AP Invoice Management digital worker, balancing client demand, engineering capacity, and platform strategy.
• Define and prioritize capabilities across the AP lifecycle: invoice capture and data extraction, 2-way and 3-way match (PO, GR, invoice), exception resolution, GL coding and approval routing, tax determination, payment scheduling, and reconciliation.
• Translate complex AP, tax, and ERP requirements into clear product specs, user stories, and acceptance criteria that engineering and AI/ML teams can build against.
• Partner with Deloitte's finance, tax, and ERP subject matter experts to encode domain logic - US sales and use tax, 1099 workflows, withholding, jurisdictional rules - into the agent's reasoning and decision flow.
• Drive integration design with SAP (ECC, S/4HANA) and Oracle (EBS, Fusion Cloud ERP) AP modules, including data models, APIs, and reconciliation back to the system of record.
• Work closely with pilot clients: shape use cases, run feedback loops, instrument the agent's behavior, measure accuracy and cycle-time improvements, and iterate.
• Define what "good" looks like for the agent - extraction accuracy, exception rates, straight-through processing rates, time-to-pay, match rates - and report against them.
• Collaborate with Trustworthy AI, risk, and compliance teams to ensure the agent meets audit, controls, and explainability requirements expected in finance functions.
• Maintain a current view of the competitive landscape (other agentic AP solutions, ERP-native AI, point tools) and inform positioning and differentiation.

Required Qualifications

• 3+ years of combined experience across product management, AP/finance operations, ERP implementation, or finance consulting - with at least some time owning or shaping a product, module, or workstream end-to-end.
• Working knowledge of the AP invoice-to-pay lifecycle: invoice processing, supplier master, PO and non-PO invoice handling, 2-way/3-way match, GR/IR, exception handling, payment runs, and reconciliation.
• Practical understanding of US tax rules relevant to AP - sales and use tax, 1099 reporting, withholding logic, and how tax is determined, accrued, and posted in an ERP.
• Hands-on familiarity with AP processing in SAP (FI/MM, VIM, or S/4HANA equivalents) and/or Oracle (Payables in EBS or Fusion Cloud), with credible understanding of the other.
• Comfort translating domain rules into structured logic - flowcharts, decision tables, agent prompts, or behavioral specifications.
• Strong written and verbal communication; able to move comfortably between a finance controller, a tax SME, an ML engineer, and a client executive.
• Bachelor's degree, or equivalent practical experience.

Preferred Qualifications

• Exposure to non-US indirect tax - VAT, GST, reverse charge mechanisms, and e-invoicing mandates (e.g., Peppol, SAF-T, India IRP, LATAM e-invoicing) - in a product or implementation context.
• Experience with AP automation, OCR/IDP, or invoice-matching platforms (e.g., SAP VIM / OpenText, Oracle Intelligent Document Recognition, Tipalti, AvidXchange, Coupa, Stampli, Esker).
• Experience working with AI/ML or LLM-based products - particularly agentic systems, retrieval-augmented generation, or document understanding pipelines.
• Familiarity with Trustworthy AI principles - explainability, auditability, human-in-the-loop design - applied in regulated finance workflows.
• Experience working in or with a consulting environment and engaging directly with enterprise clients.
• Tax, ERP (SAP, Oracle), or finance credentials (e.g., CPA, CMA) are a plus, not required.