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Open nowFirst seen 3 days ago

AI Product Manager

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong, Hong Kong
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Your applicationOpen nowAI Product ManagerIO TECH SOLUTIONS LIMITED · Hong Kong, Hong Kong
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Job Responsibilities:

  • Lead end-to-end lifecycle management of AI-driven products, including requirement analysis, prototyping (proficient in Axure, Figma), PRD documentation, sprint planning, and Agile/Scrum-based project management to ensure timely and high-quality delivery.
  • Analyze industry trends and competitor strategies to identify AI implementation scenarios, transform user needs into executable product features.
  • Design and implement AI-driven solutions tailored to wealth management, investment banking, and financial risk control etc., ensuring compliance with regulatory standards.
  • Coordinate with design, R&D, and testing teams to drive efficient project delivery and solve issues and collaboration bottlenecks.

Job Requirements:

  • Bachelors degree or above in Computer Science, Financial Engineering, Statistics, or related fields.
  • 5+ years of experience as an AI product manager , with successful cases of AI product implementation are preferred.
  • Must be fluent in Mandarin, Cantonese and English
  • Master the basic principles of AI technology, including machine learning, deep learning, natural language processing (NLP), large language model (LLM)etc.
  • Be familiar with mainstream frameworks and algorithm application scenarios.
  • Excellent communication and coordination skills, with the ability to drive cross-departmental collaboration and resolve conflicts.
  • Familiar with AIGC technology, low-code platforms are preferred.
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