Product Manager - AI
New
B
BinanceCryptocurrency trading
Location: Hong Kong; SingaporeFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Bilingual Skills English and Mandarin.
- Experience
- 5+ years of internet product management, including 3+ years in recommendation / growth strategy
- Required Skills
- SQLProduct ManagementA/B testing
Requirements
- Hold a bachelor's degree or above; CS, Statistics, Math or Financial Engineering is preferred.
- Have 5+ years of internet product management experience, including 3+ years in recommendation or growth strategy.
- Demonstrate measurable incremental impact from strategy initiatives you owned.
- Understand recommender systems, including recall, ranking, re-ranking, features, cold start and explore–exploit, and be able to discuss strategies and trade-offs with ML engineers.
- Bring hands-on SQL skills, event-tracking design experience, rigorous A/B testing skills and attribution skills.
- Understand A/B testing topics including sample size, significance, traffic splitting and guardrail metrics.
- Be a heavy user of AI tools who prototypes, pulls data and writes evaluation sets.
- Demonstrate clear structured thinking and the ability to drive alignment and execute under ambiguity.
- Have bilingual English and Mandarin skills.
Responsibilities
- Own personalized product-component presentation and the roadmap for “For You” recommendations, defining problems, mechanisms and metrics with ML engineers.
- Work with data engineers to define user features and pipelines, launch features, assess coverage, freshness and model contribution, and improve recommendation models.
- Plan, design and deliver AI agents and products, including prompts, RAG knowledge bases, data-source integration, agent task flows, capability boundaries, fallbacks and personalized output.
- Build an evaluation loop covering business and model metrics, user feedback, accuracy, hallucination rate, adoption and badcase regression sets.
- Set prompt standards and hard-rule guardrails so AI output is traceable and auditable.
- Define north-star and process metrics, including CTR, trading conversion, volume, retention and AI adoption.
- Lead tracking design, A/B testing and attribution, and drive iteration based on measurable incremental impact.
- Work with ML, data, engineering, design, risk and compliance, operations and business lines to take products from 0→1 and scale from 1→N.
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