Product Manager, AI Agent & Harness
at Binance
Posted 15 hours ago
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**Product Manager, AI Agent & Harness | Binance** Leading global blockchain company seeks experienced Product Manager to drive AI Agent core capabilities and Harness evaluation framework. Manage end-to-end task validation, continuous iteration, and cross-functional team collaboration.Key responsibilities include product design for AI Agents, understanding capability boundaries and Web3 exchange scenarios. Required skills: AI, Web3, product management, cross-functional team leadership. 5+ years of experience in AI or related field.
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.
