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Higgsfield is seeking a hands-on revenue leader in San Francisco to own revenue recognition and the end-to-end order-to-cash flow for a fast-growing, credit-based AI product. The role emphasizes data-driven decisions, ASC 606, and Stripe reconciliation.
You will build processes from scratch and work closely with engineering and data teams to automate the close, while defending judgments to auditors and maintaining strong controls.
This is a hands-on leadership role that owns how revenue is recorded and how money moves from order to cash for a fast-growing, credit-based product. A strong candidate brings deep revenue accounting experience, sound judgment on tricky deals, and comfort digging into transaction-level data. Experience building processes and controls from scratch, and working well with engineering and data teams, matters as much as technical accounting skill.
The business sells AI generation through credits and usage, so the accounting depends on clean data about what users consume, and automation can take over much of the manual reconciliation and close work. Judgment stays human: deciding how to treat unusual contracts, unused credits, and principal versus agent questions, and defending those calls to auditors. The job is partly about making finance systems reliable enough that AI-driven growth can be trusted in the numbers.
Working here would give close exposure to how a generative AI product turns usage into revenue, including credit models, consumption tracking, and billing at high volume. Someone could build experience by partnering with engineering on usage data, pushing for more automation in the close, and learning how to account for AI products that mix self-serve, enterprise, and partner sales. Practicing with revenue automation tools and SQL on consumption data is a good way to prepare.
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Higgsfield is an AI-native creative suite that generates cinematic-quality video and images from text, image, or link inputs, per the company.