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About Us Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise 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. Preferred What We're Looking For 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). Why Fireworks? 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. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.