Member of Technical Staff, Data Platform Engineer

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. - 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 salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity)

$175,000—$220,000 USD

Why Fireworks AI?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. *Fireworks AI is an equal-opportunity employer.