Product Manager, AI Agent & Harness

New
B
BinanceAI and Web3
Location: Hong Kong; SingaporeFull-TimeManager
Salary not disclosed
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Job Details

Languages
Strong English reading and writing skills
Required Skills
Content managementPrompt Engineering

Requirements

  • Experience in AI products, Agent products, AIGC applications, automation tools, or developer tooling.
  • Background in Web3, exchanges, wallets, payments, on-chain transactions, DeFi, or crypto assets.
  • Hands-on understanding of AI Agent tool-calling, task planning, context management, and evaluation frameworks.
  • Ability to define problems, decompose workstreams, and drive execution in ambiguous environments.
  • Ability to produce clear PRDs, flow diagrams, test cases, acceptance criteria, and iteration plans.
  • Collaborate across engineering, design, operations, and business stakeholders.
  • Bonus: Experience with exchanges, Web3 wallets, on-chain trading, payments, or fintech products.
  • Bonus: Experience with AI Agent Harness, Eval, benchmarking, automated testing platforms, or prompt evaluation.
  • Bonus: Familiarity with MCP, Function Calling, RAG, multi-Agent orchestration, or workflow automation.
  • Bonus: Knowledge of the Binance ecosystem or mainstream Web3 user scenarios.
  • Bonus: Strong English reading and writing skills.

Responsibilities

  • Design Agent capabilities, task flows, user interaction patterns, capability boundaries, failure fallbacks, and result feedback loops.
  • Build and maintain the Harness framework by designing test scenarios, defining evaluation criteria, and curating task sets.
  • Analyze Agent performance and recommend actionable iterations.
  • Work with Tech Owners, frontend engineers, and Skill design leads to turn business requirements into shippable, testable product specifications.
  • Identify deployable Agent use cases across Web3 Wallet, Account, Payment, Trading, and other Binance business lines.
  • Track developments in AI Agents, MCP, tool-calling, prompt engineering, and automated evaluation, and translate them into product initiatives.
  • Define and track task success, user satisfaction, error rate, response quality, and tool-calling accuracy metrics.
  • Identify issues from real-world Agent usage and drive improvements across product, engineering, and operations.
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