Description
We are seeking an AI Revenue Growth Manager to join our team in Shanghai. As an AI Revenue Growth Manager, you will identify, qualify, and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China, building and managing a robust pipeline aligned to ambitious revenue targets.
Key Responsibilities:
- Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China
- Develop and execute the regional go-to-market strategy for Keywords AI Data Services
- Lead consultative, solution-based sales engagements end-to-end
- Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams
- Build and nurture long-term, trust-based relationships with clients, partners and industry influencers
- Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition
- Provide structured market intelligence and competitive insight back into the AI Data Services leadership team
- Forecast accurately and maintain disciplined CRM hygiene
- Collaborate cross-functionally with delivery, technical leadership, marketing and operations teams
Requirements:
- Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline
- 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment
- Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred
- Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base
- Working knowledge of the AI services landscape and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts