Sr Finance Manager, Microsoft Frontier Company
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You'll support monthly close for compute cost of revenue, reconciling GPU utilization data to cloud invoices, managing prepaid balances, and evaluating vendor accounting treatment across multiple cloud providers. This role requires three to six years of accounting or finance experience with meaningful cost accounting background, preferably in cloud, SaaS, or consumption-based models. You'll need strong Excel skills, familiarity with cost allocation, ERP systems like NetSuite, and comfort working with large datasets and SQL. The position is based in an office location not specified in this posting.
Written from this posting by Neural Jobs AI. The full description is below.
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.
We are looking for a highly motivated and detail-oriented Financial Compute Analyst to join our Accounting team. This role will help build and run the accounting, allocation, and reporting for compute cost of revenue as the company continues to scale.
Compute is by far our largest expense category and the single biggest driver of gross margin. Cloud spend runs across a growing set of CSP and neocloud vendors under a mix of on-demand, reserved, prepaid, and committed-capacity structures — each with its own invoicing cadence, true-up mechanics, and credit terms. The ideal candidate is comfortable turning GPU utilization data into defensible accounting conclusions and enjoys building the schedules, reconciliations, and controls that make cost of revenue accurate, explainable, and auditable.
This is a hands-on role that will partner closely with Infrastructure, Capital Efficiency, FP&A, Procurement, Partnerships, and Data teams to ensure compute costs are captured in the right period, classified to the right cost center, and reported in a way the business can actually use.
Support the monthly close for compute cost of revenue, including preparing cloud cost journal entries, accruals for unbilled usage, prepaid amortization, true-ups to actual usage, and supporting schedules.
Perform reconciliations of GPU utilization data to CSP invoices, contracted capacity, and the general ledger; research utilization-to-billed variances, idle capacity, and billing discrepancies, and escalate complex items with a proposed resolution.
Prepare and maintain prepaid cloud balance schedules, including short-term/long-term classification, amortization tied to committed capacity, and rollforwards that tie to contract terms, for senior review.
Support the accounting for complex vendor and partnership arrangements, including committed spend, prepayment and reimbursement structures, revenue share, SLA and downtime credits, and capacity arranged through third parties.
Help evaluate the accounting treatment of new vendor agreements and capacity commitments, including COGS vs. operating expense classification, gross vs. net presentation, embedded leases under ASC 842, and liability vs. expense characterization.
Work with Data and Analytics teams to build and validate the cost and utilization data pipelines that feed allocations and reporting, and improve data quality at the source.
Contribute to technical accounting memos supporting significant cost of revenue and capitalization conclusions, including capitalized software and its amortization into COGS.
Support external audits by preparing cost schedules, vendor contract samples, allocation support, and responses to auditor inquiries.
Identify opportunities to automate and scale cost accounting processes, reconciliations, and reporting as compute spend grows.
Bachelor's degree in Accounting, Finance, or a related field.
CPA or CPA candidate a plus.
3–6 years of relevant accounting or finance experience, including meaningful experience in cost accounting or cost of revenue.
Familiarity with cost allocation concepts, including direct cost attribution and overhead allocation across cost centers or product lines.
Experience in cloud computing, AI infrastructure, SaaS, or other usage/consumption-based business models is preferred but not required.
Experience evaluating vendor contracts and committed purchase arrangements, and translating commercial terms into accounting treatment, is a plus.
Comfort working with large datasets and reconciling information across multiple systems.
Experience with NetSuite or another major ERP system, including allocation schedules and amortization functionality, preferred.
Advanced Excel/Google Sheets skills; SQL or experience working directly with data warehouses is a plus.
Strong analytical and problem-solving skills with exceptional attention to detail.
Builder mindset — comfortable creating and improving processes in a fast-paced environment where products, vendors, and systems continue to evolve.
Strong communication skills and ability to translate cost accounting requirements into practical guidance for non-accounting stakeholders.
You will help build a cost accounting function that is accurate, scalable, auditable, and closely connected to how the business actually operates. You will be able to trace compute spend from vendor contracts and GPU utilization through allocation to the general ledger and ultimately to gross margin, so the company can understand the true economics of each product and make infrastructure investment decisions with confidence.
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.
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.
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Fireworks AI is a generative-AI inference platform focused on fast, low-cost serving and fine-tuning of open models for production workloads.
Founded in 2022 by former PyTorch engineers, it optimises model serving for latency, throughput and cost.
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