Lead Product Manager (Artificial Intelligence)

Madison Pearl Ltd.; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Madison Pearl Ltd. in Hong Kong seeks a Product Manager with hands-on AI product experience to own end-to-end product work in the compliance space. You will run discovery, lead customer interviews, and collaborate with engineering to deliver validated, value-driving solutions.

The role requires fluency in English and Cantonese, comfort prototyping with AI tools, and strong B2B product instincts. You will move ideas from problem to measurable customer value while coordinating with domain experts.

Qualifications

• Experience shipping AI products or AI-enabled platforms.
• Strong product judgment with incomplete information.
• B2B/enterprise product experience preferred.
• Fluency in English and Cantonese.

Responsibilities

• Own products from discovery through delivery and beyond.
• Identify customer problems and validate product theses.
• Lead customer interviews and market research.
• Define who has the problem and how they solve it today.
• Prototype with AI tools and rapid demos to learn before building.
• Collaborate closely with engineering and domain experts.
• Measure value, adoption, and willingness to pay.

Skills

AI product experience

Product discovery

Cross-functional collaboration

Customer interviews

B2B / enterprise products

English & Cantonese fluency

Job description

On behalf of a well-funded and rapidly growing early stage AI development company focused on the compliance space we are seeking a Product Manager who has experience with AI products and engineering.

The Role:

• Own products from discovery through delivery and beyond.
• Identify important customer problems, develop and validate product theses, work closely with engineering to build solutions, put products in customers’ hands, measure whether they create value, and iterate until customers adopt and pay for them.
• Lead customer interviews, workflow observations, and market research.
• Understand how customers work today, where time and money are lost, and why the problem matters.
• Define who has the problem, how they solve it today, what should change, and what must be validated.
• Use prototypes, demo workflows, AI-generated interfaces, and lightweight proofs of concept to learn before committing to a full build.
• Work side-by-side with engineering and domain experts so the team understands both the customer context and the why.
• Observe real usage and gather structured customer feedback.
• Measure whether the product solves the problem, earns repeat use, and creates willingness to pay.
• Your goal is to shorten the loop from customer problem to measurable customer value without sacrificing the quality of the product thinking.

Requirements:

• You do not need to build the underlying AI yourself, but you should be conversant in modern AI products, including LLMs, agents, RAG, multimodal models, evaluations, and emerging AI product patterns—and know enough to work productively with engineers.
• Have strong product judgment and can form a point of view with incomplete information.
• Preference for people who have experience shipping AI product(s).
• Keep up with modern AI capabilities and understand how they change what is possible in a product.
• You are comfortable using AI coding tools or a CLI to prototype ideas.
• You’ve built / managed complex B2B or enterprise products.
• You have worked with document-heavy professional workflows.
• Fluency in both English and Cantonese is essential.