Drimva

OpenAI

Financial Systems Engineer

$240K–$266K

San Francisco · Hybrid · Full-time · Posted Oct 16, 2026

Experience
10+ years in relevant roles; 8+ years hands-on Oracle Fusion Financials experience; at least two full-cycle implementations or comparably complex programs.
Education
Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related field (or equivalent experience).

About the job

Designs, builds, and operates Oracle-based financial systems and integrations, improving accounting processes and applying automation and AI to finance operations and close.

What you'll do

  • Own and improve Oracle Fusion Financials and connected finance platforms, including accounting processes, integrations, controls, and reconciliations.
  • Transform Accounts Payable, supply chain, cost accounting, intercompany, and revenue accounting workflows, including complex ASC 606 arrangements.
  • Build AI-enabled finance solutions and operational monitoring; troubleshoot critical production issues and deliver lasting fixes.

What they ask for

  • 10+ years in financial systems engineering, ERP, accounting technology, or solution architecture roles.
  • 8+ years of hands-on Oracle Fusion Financials experience.
  • At least two full-cycle Oracle Fusion implementations or comparably complex enterprise finance programs.
  • Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related field (or equivalent experience).

Nice to have

  • Experience supporting compute infrastructure or data-center accounting.
  • Experience resolving global intercompany challenges involving foreign exchange, multi-entity balancing, netting, settlement, and reconciliations.

Pay

$240K – $266K USD base salary

Tools

Oracle Fusion Financials, Oracle Integration Cloud, Oracle Fusion APIs, REST APIs, Python, SQL, Financial Accounting Hub

AI focus

Build AI-enabled and agentic finance solutions, including assistants, model context protocols, automated workflows, dashboards, and conversational access to enterprise data, to reduce manual work and improve decision-making.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)