Member of Technical Staff, Data Platform Engineer
Fireworks AI - San Mateo, CA
Posted Apr 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Market context
- Median wage (BLS OEWS)
- $116,543 national median
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
69% above the BLS national median for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Member of Technical Staff, Data Platform Engineer San Mateo, CA 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
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