Member of Technical Staff, Data Platform Engineer

What You'll Do

Phase 1 – Platform & Data Foundation

• Own and enhance billing infrastructure: pricing models, usage ingestion, invoicing, and revenue workflows.
• Resolve key platform gaps (pricing flexibility, account hierarchy, overages, prepaid/credit logic).
• Integrate billing with ERP, payments, and cloud marketplaces for an automated invoice-to-ledger pipeline.
• Implement deferred revenue and prepaid amortization across all billing models.
• Build and maintain an 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 – Autonomous Intelligence

• Build and deploy autonomous enterprise agents to automate and augment OTC operations, including anomaly detection, reconciliation, revenue recognition, collections, contract interpretation, and forecasting.

What We're Looking For

Preferred

• 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), etc.
• Strong SQL and BigQuery proficiency — design schemas, write complex analytical queries, build dbt models, and maintain production data pipelines.
• Working knowledge of accounting systems (QuickBooks or NetSuite) and mapping billing events to GL journal entries, manage sub-ledger reconciliation, and support 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, or Azure Marketplace private offers and settlement reporting.
• Proficiency in Python or Node.js for building integrations, data transforms, and automation scripts.
• Experience building LLM-powered agents or automation workflows — using frameworks like LangChain, or custom tool-calling architectures.
• Background in GPU compute or AI infrastructure billing — understanding of compute-hour metering, token-based pricing, and capacity reservation models.
• Experience with ERP migration projects (e.g., QuickBooks to NetSuite).

Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base Pay Range (Plus Equity) $175,000—$220,000 USD