Xinference is an Australian-owned AI infrastructure company building two products: Xinference, an enterprise-grade model inference platform that lets organisations run 300+ AI models on their own private infrastructure; and Xagent, a natural language AI agent builder that executes complex tasks autonomously — no coding or flowcharts required. We are growing globally, and this role sits at the centre of that expansion. The role You'll own global revenue from first call to closed deal — working closely with the founding team to shape our go-to-market strategy, build enterprise pipelines across the US, UK, and APAC, and establish Xinference as the default AI infrastructure platform for privacy-first organisations worldwide. What you'll do

• Own the full sales cycle — prospecting, qualification, solution selling, and close — for enterprise accounts globally
• Build and develop a sales pipeline targeting large enterprises, government, healthcare, and financial services organisations that require on-premise AI deployment
• Lead market entry across the US, UK, and APAC: identify strategic partners, systems integrators, and channel opportunities in each region
• Work with product and engineering to deliver compelling demos of Xinference and Xagent to technical and executive buyers alike
• Develop outbound and inbound go-to-market playbooks and contribute to pricing, packaging, and positioning strategy
• Represent Xinference at conferences, summits, and industry events across key markets
• Provide structured feedback from the market to shape product roadmap priorities
• Build and mentor a sales team as the function scales

You'll bring

• 7+ years of enterprise B2B sales experience, ideally in AI, ML infrastructure, data platforms, or developer tools
• Proven track record closing large enterprise deals with multi-stakeholder, complex procurement cycles
• Experience selling to technical buyers (CTO, VP Engineering) and navigating large organisation procurement
• Familiarity with on-premise, private cloud, or air-gapped deployment use cases
• Experience building sales process from the ground up at an early-stage company
• Excellent executive presence and storytelling ability

Nice to have

• Existing network across enterprise or regulated industry verticals in the US, UK, or APAC
• Experience with open-source or model inference tooling (e.g. vLLM, Ollama, Triton)
• Prior experience at a Series A–B stage AI/ML infrastructure company
• Familiarity with data sovereignty or AI compliance requirements in the different regions