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Reconciliation Layer Lead — Technical Product Lead

Birbal AI
Abu Dhabi, UAE
Full-time
Entry
Onsite
Discovered Today
software architecturemicroservicesevent-driven workflowsrelational data modellingrules and workflow enginesREST APIs
Free

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software architecturemicroservicesevent-driven workflows
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Role overview

Own the design and delivery of a centralized accounts-payable reconciliation platform.

The platform includes the reconciliation database, billing-verification matching engine, orchestrator, notification and action engine, workflow, UI, and reporting.

The platform replaces per-system reconciliation across client entities.

Key responsibilities

  • Own the end-to-end platform design and delivery, including data models, matching, rules, orchestration, actions, notifications, workflow, UI, and reporting.
  • Run rules and scenario workshops with AP, procurement, and tax teams and convert outcomes into precise specifications.
  • Lead backend, frontend, and data or ML engineers through planning, code review, quality assurance, user acceptance testing, and Kubernetes production deployment.
  • Lead an AI-assisted matching pilot with confidence scores, human approval, explainability, and auditability.
  • Ensure audit trails, RBAC and entity scoping through Entra ID, observability, scale performance, and SLA readiness.
  • Deliver technical knowledge transfer and runbooks.

Required experience and skills

  • 10+ years of software engineering experience and 4+ years leading product or platform delivery.
  • Finance-process platform experience is strongly preferred.
  • Strong architecture skills in microservices, event-driven workflows, relational data modelling, rules engines, workflow engines, REST APIs, Kubernetes, and CI/CD.
  • Strong understanding of procure-to-pay and AP invoice-matching controls, including tolerances, duplicate detection, and exception handling.
  • Excellent facilitation with finance users and the ability to translate business rules into precise specifications.

Preferred skills

  • ML-assisted matching or classification with human-in-the-loop controls is preferred.
  • SAP FI-AP posting integration experience is preferred.
  • UAE VAT and eInvoicing awareness is preferred.

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