
A productized service that turns new pricing and packaging strategy into field-ready CPQ, billing, discount, and approval workflows.
Added Jul 6, 2026
Medium opportunity (56%)
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Companies are hiring senior pricing, monetization, finance, and deal-desk operators to bridge the gap between pricing strategy and operational execution. The repeated pain is not just deciding prices; it is translating usage-based models, bundles, ramps, discounts, entitlements, and custom deal terms into systems that Sales, Finance, Legal, and Billing can actually use. When this breaks, companies create downstream quoting errors, margin leakage, approval delays, and accounting risk.
Start as a specialized pricing operations service that implements and governs commercial changes across CPQ, price books, billing, entitlement, and deal-desk processes. The first offer is a fixed-scope pricing launch readiness package: audit current pricing workflows, define commercial rules and approval matrices, configure source systems, test quote-to-cash edge cases, and train deal-desk and sales operations teams. Over time, the service can productize reusable templates, rule libraries, QA? checklists, and monitoring for pricing drift.
The market is shifting toward usage-based pricing, AI/API? consumption models, private offers, multi-year ramps, and complex packaging. The job signals show companies urgently need the operational layer that makes these pricing changes enforceable in real revenue systems.
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This role reports to our Head of Revenue Operations and sits alongside the Deal Desk Lead. Deal Desk owns the transaction: structuring, approvals, and quote accuracy on individual deals. You own the frameworks Deal Desk enforces, and you'll partner with Deal Desk and our front-line sales managers (AEMs) on the largest deals. You'll be hands-on-keyboard from day one and are expected to be a builder and scaler. Co-create pricing and packaging with executive and product leadership. Own the pricing
You build pricing models approved by Finance. You drive analysis including margin and revenue impact scenarios, understand how to translate P&L prerogatives into customer action, and respect cost levers when setting pricing and discount structures.
Manage product cost and resource operations, monitoring resource utilisation, analysing unit economics, and coordinating with engineering and finance teams to optimise delivery costs and improve operational efficiency across Enterprise AI Agent products. Execute pricing and quotation operations, maintaining and optimising pricing frameworks, supporting sales teams with accurate and timely quotations, and analysing pricing and discount performance to inform commercial decisions.
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