Binance Accelerator Program - Product Manager AI Agent & HarnessActive

The opportunity

About the Role We're building the core Agent capabilities and Skill ecosystem for Binance Agentic. We're looking for a Product Manager Intern with a strong interest in AI and Web3 to support Agent product design, the Harness evaluation framework, end-to-end task validation, and continuous iteration.

What you'll do

  • Shadow and assist in designing Agent-related capabilities across Binance: Agentic, including task flows, user interaction patterns, capability boundaries, failure fallbacks, and result feedback loops. Harness & Evaluation

  • Help build and maintain the Harness framework — contribute to test scenario: design, evaluation criteria, task set curation, performance analysis, and iteration recommendations. Cross-functional Collaboration

  • Partner with Tech Owners, frontend engineers, and Skill design leads to learn: how business requirements are broken down into shippable, testable, production-ready product specs. Web3 Use Case Research

  • Research and map high-value, deployable Agent use cases across Web3 Wallet,: Account, Payment, Trading, and other Binance business lines. Industry Tracking

  • Stay current on AI Agent, MCP, tool-calling, prompt engineering, and: automated evaluation developments — and translate insights into product ideas for the team. Metrics & Quality

  • Assist in defining and tracking Agent performance metrics, including task: success rate, user satisfaction, error rate, response quality, and tool-calling accuracy. Continuous Improvement

What they're looking for

  • Currently pursuing or recently completed a degree in Computer Science
  • Strong interest in AI products, Agent products, AIGC applications, automation tools, or developer tooling.
  • Interest in or exposure to Web3, exchanges, wallets, payments, on-chain transactions, DeFi, or crypto assets.
  • Basic understanding of how AI Agents work: tool-calling, task planning, context management, or evaluation frameworks (coursework, projects, or self-study all count).
  • Strong ownership and learning agility; comfortable navigating ambiguity and picking things up quickly.
  • Solid product fundamentals: able to write clear PRDs, flow diagrams, test cases, and acceptance criteria (even at a learning level).
  • Excellent communication skills across engineering, design, operations, and business stakeholders.