Product Manager, AI Agent & Harness

About the Role

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

You'll need to understand both the capability boundaries of AI Agents and the nuances of Web3 / exchange business scenarios - and proactively rally engineering, business, operations, and partner teams to ship Agent-powered products.

Responsibilities

• Agent Product Design: Own the design of Agent-related capabilities across Binance Agentic, including task flows, user interaction patterns, capability boundaries, failure fallbacks, and result feedback loops.
• Harness & Evaluation: Build and maintain the Harness framework - design test scenarios, define evaluation criteria, curate task sets, analyze performance, and drive actionable iteration recommendations.
• Cross-functional Delivery: Partner closely with Tech Owners, frontend engineers, and Skill design leads to break down business requirements into shippable, testable, production-ready product specs.
• Web3 Use Case Discovery: 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 them into executable product initiatives for the team.
• Metrics & Quality: Define and track Agent performance metrics, including task success rate, user satisfaction, error rate, response quality, and tool-calling accuracy.
• Continuous Improvement: Proactively identify issues from real-world Agent usage and drive improvements across product, engineering, and operations.

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 how AI Agents work - tool-calling, task planning, context management, and evaluation frameworks.

  Strong ownership and learning agility; able to define problems, decompose workstreams, and drive execution in ambiguous environments.

• Solid product fundamentals - clear PRDs, flow diagrams, test cases, acceptance criteria, and iteration plans.
• Excellent cross-team collaboration and communication skills across engineering, design, operations, and business stakeholders.