The opportunity
Anthropic's Deal Desk sits at the center of how we turn commercial intent into signed, bookable business. As demand for Claude grows across every region, the deals themselves are getting larger, more structured, and more consequential — and the desk is what keeps them moving…
What you'll do
Own Deal Desk for Anthropic's international business across EMEA and APAC —: the operating model, the team, and the outcomes
Lead, hire, and develop a team of three, and scale it as the international business grows
Serve as the commercial partner to international sales teams on complex and: non-standard deals, including pricing, discounting, multi-year and consumption structures, commit and ramp terms, and deal structuring
Own the deal approval and review process for the region: clear thresholds, fast turnaround, and the right escalation paths — so that speed and pricing discipline aren't traded off against each other
Partner with the global Deal Desk lead to maintain one consistent operating: model across regions, adapting it to regional currency, tax, entity, and buying-norm differences rather than fragmenting from it
Act as the validation point between deal creation and order management,: ensuring quotes and signed order forms are structured to book cleanly and provision correctly
What they're looking for
- Extensive experience running Deal Desk or revenue operations across: international markets, ideally spanning both EMEA and APAC
- Have built or materially scaled a Deal Desk function, rather than only inheriting and running one
- Familiarity with the operational realities of selling internationally: multi-currency, multi-entity, and varied tax and invoicing requirements
- Experience with quote-to-order and order management processes and the handoffs between them
- Exposure to CPQ platforms such as nue.io, and to the systems and data that connect quoting to booking
- Have worked at a company that scaled significantly during your tenure,: particularly through a period of rapid international growth
- Understanding of how enterprises evaluate and buy AI products, and how that shapes commercial structures