AI Revenue Growth Manager

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, building and managing a robust pipeline aligned to ambitious revenue targets.
• Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels.
• Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders.
• Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network.
• Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor.
• Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives.
• Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions.

• Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes.
• Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth.

Education & Experience

• Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.
• 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets.
• Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments.
• Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential.
• Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts.