Member of Technical Staff, Data Platform Engineer
San Mateo, CA$175k - $220kfull-timePosted 6mo ago
About the role
Data Platform Engineer focused on Order-to-Cash (OTC) Revenue Transformation and AI Application Enablement to own and evolve the end-to-end billing, revenue and business data pipeline from usage metering to financial reporting. Cross-functional role interfacing with Engineering, Finance, and Data; working with billing platforms, ERP, data warehouse, and cloud marketplaces to automate reconciliation and revenue operations and later build AI-enabled workflow agents.
Responsibilities
- Own and enhance billing infrastructure: pricing models, usage ingestion, invoicing, and revenue workflows.
- Resolve platform gaps (pricing flexibility, account hierarchy, overages, prepaid/credit logic).
- Integrate billing with ERP, payments, and cloud marketplaces for automated invoice-to-ledger pipeline.
- Implement deferred revenue and prepaid amortization across all billing models.
- Build and maintain end-to-end OTC data pipeline (usage → billing → payments → revenue → GL → reporting).
- Establish authoritative data models and ensure transaction-level reconciliation across all systems.
- Implement data quality, auditability, and SOX-ready controls.
- Strengthen CRM → Billing → ERP integration as a single source of truth.
- Automate journal entries, AR sub-ledger, and revenue postings; integrate payments and marketplace settlements.
- Phase 2: Build and deploy autonomous enterprise agents to automate OTC operations (anomaly detection, reconciliation, revenue recognition, collections, contract interpretation, forecasting).
Qualifications
- 5+ years in billing engineering, revenue systems, or order-to-cash operations at a SaaS or usage-based platform company.
- Experience with Billing Systems, ERP, AWS, Kubernetes (K8s)
- Strong SQL and BigQuery proficiency; design schemas, complex analytical queries, dbt models, production data pipelines.
- Working knowledge of accounting systems (QuickBooks or NetSuite); map billing events to GL journal entries; sub-ledger reconciliation; month-end close.
- Experience with payment platforms including payment processing, dunning, refunds, and cash application.
- Familiarity with cloud marketplace billing (AWS Marketplace CPPO/SaaS contracts, GCP Marketplace, Azure Marketplace private offers) and settlement reporting.
- Proficiency in Python or Node.js for integrations, data transforms, and automation scripts.
- Experience building LLM-powered agents or automation workflows (LangChain or custom tool-calling architectures).
- Background in GPU compute or AI infrastructure billing (compute-hour metering, token-based pricing, capacity reservation models).
- Experience with ERP migration projects (e.g., QuickBooks to NetSuite).
Skills
Required:SQLBigQueryERP systems (QuickBooks, NetSuite)Python or Node.js
Nice to have:dbtLLM-powered automationGP U compute / AI infra billing
Last updated Jul 29, 2026. Interested? Apply on the company site.
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