AI BD-Singapore

Alibaba Cloud; Singapore; Vor Ort; SGD 120.000 - 240.000; Vollzeit

Zusammenfassung

Alibaba Cloud in Singapore seeks a high-impact hunter to convert AI demand into paid production usage of our AI and MaaS offerings. You will independently identify high-potential customers, create opportunities, structure deals and drive revenue beyond pitches.

Build targeted outreach across international AI native enterprises, startups, AI platforms and developers. You will negotiate pricing, terms, and milestones, coordinate with solution architects and product teams, and own the commercial

Qualifikationen

• More than 5 years of experience in cloud computing with proven ability to source opportunities, win customers and deliver revenue.
• Experience developing AI, digital native or startup customers and understanding their business models and buying processes.
• Strong business acumen and commercial judgement to assess unit economics, budgets and expected consumption.
• Demonstrated ability to structure and negotiate commercially viable deals including pricing, usage commitments and payment terms.
• Strong technical fluency in cloud architecture, LLM APIs, GenAI applications and consumption-based pricing.

Aufgaben

• Identify opportunities and generate pipeline for AI and MaaS offerings.
• Lead commercial presentations, handle objections and drive procurement requirements from qualification to production adoption.
• Negotiate pricing, terms and incentives to secure paid production usage.
• Coordinate with solution architects, product teams and legal to remove blockers and close deals.
• Own the commercial outcome for assigned accounts, including renewals and expansion.

Kenntnisse

Hunter sales

AI industry experience

Deal structuring

Technical fluency

Prospecting

Executive engagement

Forecasting

Self-directed

Jobbeschreibung

Turn AI demand into real customer adoption and revenue. This is primarily a hunter role: independently identify high potential customers, create opportunities, structure sound commercial deals and convert them into paid production usage of Alibaba Cloud's AI and MaaS offerings. Own the outcome beyond the pitch or pilot.

Build and execute a focused prospecting plan across international AI native enterprises, startups, AI platforms, data service providers and developer businesses. Generate pipeline through direct outreach, referrals and ecosystem partnerships. Prioritise opportunities by workload fit, commercial potential and readiness to buy, rather than relying on inbound leads.

Understand how customers make money and where AI changes their economics. Assess business models, operating workflows, current AI spend, budget, purchasing capacity and expected usage. Identify use cases that improve revenue, cost or productivity, build credible business cases and distinguish genuine buying intent from exploratory interest.

Structure proposals around the customer’s adoption plan and economics. Negotiate pricing, consumption commitments, payment terms, contract duration, incentives and deployment milestones that create value for both parties. Connect concessions to credible commitments and paid adoption, while managing margin, payment and delivery risks within approved policies.

Engage founders, business leaders and technical decision makers to understand the buying process and build support for adoption. Lead commercial presentations, manage objections and procurement requirements, and drive opportunities from qualification through negotiation, contracting and production consumption.

Translate Qwen and Alibaba Cloud's MaaS capabilities into practical customer value across applications such as video generation, coding and AI agents. Discuss quality, cost and integration tradeoffs with credibility. Work with solution architects and product teams to validate workload suitability, establish measurable pilot criteria and agree a path to production.

Develop incubator, accelerator, investor and technology partner relationships that generate qualified introductions and joint pursuits. Translate ecosystem access into measurable customer acquisition and pipeline outcomes.

Act as the commercial owner for assigned accounts, coordinating onboarding, issue escalation, adoption reviews and renewals where applicable. Grow paid consumption through additional use cases and expansion while maintaining the primary new customer acquisition mandate.

Deliver against assigned revenue targets with disciplined pipeline management and consumption forecasting. Maintain clear next actions, decision timelines, commercial assumptions and risk visibility. Coordinate finance, legal, product and technical teams to remove blockers, and turn customer and market feedback into actionable improvements in sales positioning.

Job Requirements

• More than 5 years of experience in cloud computing, with demonstrated capability in solution architecture and sales. A proven record of independently sourcing opportunities, winning new customers and delivering against revenue targets is essential. Candidates must be able to explain their personal contribution to prospecting, deal closure and customer adoption, supported by measurable results.
• Experience developing AI, digital native or startup customers, with an understanding of their business models, growth priorities, purchasing decisions and deployment constraints. Experience converting AI pilots into paid production workloads is particularly valuable.
• Strong business acumen and commercial judgement. Able to assess customer unit economics, budget, ability to pay and expected consumption, identify the business case for adoption and determine which opportunities merit investment of time and resources.
• Demonstrated ability to structure and negotiate commercially viable deals, including pricing, usage commitments, incentives, payment terms and risk tradeoffs. Able to win on business value and an appropriate commercial structure rather than relying primarily on discounts or credits.
• Strong technical fluency in cloud architecture, LLM APIs, GenAI applications, AI agents and consumption based pricing. Able to lead solution discovery, discuss integration and deployment considerations, and translate technical architectures into commercially relevant proposals. The role requires technical credibility, not ownership of software engineering or model development.
• Evidence of applying AI tools in daily work, including prospect research, account planning, analysis or productivity. Able to learn new models and capabilities quickly, evaluate them critically and translate relevant developments into customer opportunities.
• Confident engagement with founders, senior business leaders and technical decision makers. Able to influence complex buying processes, present clearly, handle objections and coordinate internal teams without losing ownership of the commercial outcome.
• Self directed, structured and accountable, with consistent prospecting discipline, realistic forecasting and strong follow through. Demonstrated ability to service and expand accounts while sustaining new business activity. Relevant international customer experience and startup or partner networks are advantageous.