infrastructure
Posted Apr 7Member of Technical Staff, Data Platform Engineer
at fireworks
On-site
Responsibilities
- - Integrate billing with ERP, payments, and cloud marketplaces for an automated invoice-to-ledger pipeline.
- - Build and maintain an end-to-end OTC data pipeline (usage → billing → payments → revenue → GL → reporting).
- - Automate journal entries, AR sub-ledger, and revenue postings; integrate payments and marketplace settlements.
Requirements
- ABOUT US: At Fireworks, we’re building the future of generative AI infrastructure.
- 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.
- We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
- In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems.
- (blog https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think) - Open source agents with frontier advisors: matching frontier performance through training and harness engineering.
- (blog https://fireworks.ai/blog/open-source-agents-frontier-advisors) - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements.
- (blog) https://fireworks.ai/blog/fine-tuning-bottlenecks 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 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.
- 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). WHY FIREWORKS AI?
- - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- - 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.
Experience
- 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. -
Benefits
- 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.
Additional details
- Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry.
- A few examples of what that looks like in practice: - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned.
- 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).
- - Establish authoritative data models and ensure transaction-level reconciliation across all systems.
- - Strengthen CRM → Billing → ERP integration as a single source of truth.
- 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.
- We celebrate diversity and are committed to creating an inclusive environment for all innovators.