AI Data Product Manager

Leads development and enhancement of customer-facing data products, focusing on real-time trading insights and AI-driven features to enhance user experience. Collaborates with engineering, AI, product, and design teams.

Overview

Department

Product

Job type

Full time

Compensation

Salary not specified

Location

Hong Kong, East Asia

Resume Assistance

See how well your resume matches this job role with our AI-powered score. By uploading your resume, you agree to our Terms of Service

Click to upload

or drag and drop

pdf, doc, or docx (max. 10MB)

Ready to apply?

You're one step away - it takes less than a minute to upload your resume

Requirements

3+ years of experience in Product Management, preferably in AI, fintech, trading, or data platform environments.

Strong understanding of generative AI model fundamentals, including prompt engineering, model limitations, and deployment considerations.

Familiarity with market data APIs, trading systems, and real-time data delivery architectures.

Strong product sense with a user-first mindset and the ability to translate complex technical solutions into impactful user experiences.

Ability to manage multiple priorities and drive initiatives from concept through launch with minimal supervision.

Previous experience delivering customer-facing products powered by AI technologies is a strong plus.

Familiarity with crypto trading ecosystems is a plus, but not required.

Bachelor's degree in a technical, business, or related field; advanced degrees are a plus.

Responsibilities

Define and drive the product vision, strategy, and roadmap for customer-facing data products, with an emphasis on trading data insights and AI-enhanced services.

Collaborate closely with cross-functional teams, including Engineering, Data Infrastructure, AI/ML, and Product, to deliver high-quality, scalable data products.

Translate complex technical capabilities into user-centric product requirements and intuitive experiences.

Partner with AI/ML teams to integrate generative AI models into product features, ensuring outputs meet standards of quality, relevance, and latency.

Monitor product performance, user feedback, and adoption metrics to drive continuous improvement.

Ensure all data products adhere to best practices in reliability, scalability, and security.

Benefits

Work at the forefront of crypto innovation, shaping the future of digital finance.

Join a data-driven, fast-paced environment with high-impact projects.

Competitive compensation, career growth opportunities, and a dynamic, collaborative work culture.