Member of Technical Staff, Fireworks AI
Data Platform Engineer
$175-220k
OTE
More information about location
3 days a week in office (San Mateo, CA)
Generative AI platform enabling rapid scaling for developers and businesses
Be an early applicant
Generative AI platform enabling rapid scaling for developers and businesses
101-200 employees
Be an early applicant
$175-220k
OTE
More information about location
3 days a week in office (San Mateo, CA)
101-200 employees
Company mission
To help every organization unleash the full power of artificial intelligence.
Role
Who you are
- 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)
What the job involves
- 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
- 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
- Build and deploy autonomous enterprise agents to automate and augment OTC operations, including anomaly detection, reconciliation, revenue recognition, collections, contract interpretation, and forecasting
Our take
Whilst the development of generative AI is thought to be the reserve of large companies like Open AI, smaller startups such as Firework AI are making this technology easier to access and develop for smaller companies wanting to handle specific business needs using AI. As an open-source model API, it has one of the largest user bases - with over 12,000 users leveraging Fireworks AI’s software.
Though lacking the brand name recognition of generative AI developers like Google and Meta, Fireworks AI differentiates itself in a market crowded with large competitors through its unique approach to deploying its software. It creates smaller, production-grade, customizable generative AI models that can be launched privately and securely, rather than the non-private and inflexible models built by larger companies.
After its 2025 Series C round of $250M, Fireworks AI has been valued at over $4B, an impressive sum for a David in a sea of Goliaths. The company plans to use its funding to reshape AI infrastructure as well as expand globally. It will be interesting to see how the company evolves with its potentially disruptive business approach to generative AI.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2025
$230m
SERIES C
Jul 2024
$52m
SERIES B
Total funding: $307m
Company HQ
Redwood City, CA
Leadership
Lin Qiao
(Co-Founder & CEO)Previously a Senior Director of Engineering at Meta, a Tech Lead at Linkedin, a Research Staff Member at IBM Almaden Research Center and an Advisory Software Engineer at IBM Silicon Valley Lab.
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