About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models.

Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role We are looking for a Data Platform Engineer that specializes in 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 and invoice generation through revenue recognition and financial reporting.

You will sit at the intersection of Engineering, Finance, and Data, ensuring every dollar of usage across our five revenue streams is accurately captured, billed, recognized, and reconciled. This is a high-impact, cross-functional role. You will work hands-on with our billing platform (Orb, etc), accounting systems , data warehouse (BigQuery), and cloud marketplaces (AWS, GCP) — and ultimately help design AI-enabled workflow agents that automate reconciliation, anomaly detection, and revenue operations once the core data infrastructure is hardened.

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, K8, etc Strong SQL and BigQuery proficiency — you can design schemas, write complex analytical queries, build dbt models, and maintain production data pipelines. Working knowledge of accounting systems (QuickBooks or NetSuite) and the ability to map 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. 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. , QuickBooks to NetSuite).

Compensation

for this role also includes meaningful equity in a fast-growing

Member of Technical Staff, Data Platform Engineer