Business Development Manager – AI Solutions

About the Role
We are seeking a highly driven Business Development Manager – AI Solutions to acquire new clients and grow our business in Hong Kong.
You will prospect, pitch and close corporate clients while developing enough technical depth to understand their workflows, identify practical AI use cases and recommend suitable solutions.
Rather than selling a fixed product catalogue, you will work consultatively with clients to explore how AI, automation and solutions can improve their operations. You will then collaborate with our engineering and delivery teams to turn qualified opportunities into successful implementations.

What You’ll Do
Business Development and Sales

Identify and acquire new corporate clients through referrals, existing networks, cold calls, email, LinkedIn, events and other outbound channels.
Build and manage a strong, sustainable pipeline of qualified business opportunities.
Develop outbound strategies covering lead identification, engagement, nurturing and conversion.
Engage management and C-level decision-makers, including CIOs, CTOs, CDOs and business unit leaders.
Lead sales meetings, presentations, product demonstrations and commercial discussions.
Develop proposals and solution recommendations in collaboration with our engineering and account teams.
Manage the full sales cycle, from prospecting and qualification through proposal, negotiation and closing.
Build long-term client relationships and identify opportunities for account expansion.
Consistently achieve monthly and quarterly targets for qualified meetings, pipeline generation and revenue.
Maintain accurate and up-to-date opportunity records in the company’s CRM system.
Monitor market developments and identify promising industries, partnerships and AI use cases.

AI Solution Consulting and Deployment

Conduct discovery sessions to understand clients’ processes, document workflows, operational challenges and business objectives.
Identify practical opportunities to apply Generative AI, AI agents, workflow automation and enterprise SaaS solutions.
Translate business requirements into clear solution concepts, use cases and preliminary project scopes.
Explain proposed solutions in practical business terms to non-technical stakeholders.
Work with engineers to assess feasibility, effort, integration requirements and deployment approaches.
Support the preparation of demonstrations, proof-of-concepts, proposals and implementation plans.
Maintain a working understanding of technologies such as large language models, AI agents, document extraction, retrieval-augmented generation, APIs and cloud platforms.
Stay involved during implementation to ensure the delivered solution addresses the client’s original business objectives.
Support client training, handover and post-launch reviews where required.

What We’re Looking For

At least 5 years of experience in B2B SaaS, enterprise software, IT solutions, digital transformation or technology sales.
A proven track record of meeting or exceeding targets in a quota-carrying business development or sales role.
Strong prospecting capabilities and confidence building a pipeline through outbound activity and personal networks.
Experience selling consultative or customised technology solutions rather than only standard, off-the-shelf products.
Strong discovery skills, with the ability to understand business workflows, uncover pain points and identify valuable use cases.
Sufficient technical curiosity and aptitude to understand AI products, integrations and deployment considerations.
Familiarity with Generative AI, AI agents, document processing, workflow automation or enterprise SaaS is strongly preferred.
The ability to collaborate effectively with engineers and translate between business and technical stakeholders.
Excellent presentation, negotiation and communication skills, including confidence engaging senior management and C-level executives.
Good written and spoken English and Cantonese.
Results-driven, self-motivated and capable of working independently as an individual contributor.
Curious, resourceful and willing to develop a deeper understanding of how AI solutions are implemented in real business environments.

Technical or programming experience is an advantage, but this is not a software engineering position. Commercial performance, consultative selling ability and an understanding of AI deployment are the priorities.