Binance - Product Manager, AI Agent & Harness
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. • Experience with exchanges, Web3 wallets, on-chain trading, payments, or fintech products. • Experience with AI Agent Harness, Eval, Benchmarking, automated testing platforms, or prompt evaluation. • Familiarity with MCP, Function Calling, RAG, multi-Agent orchestration, or workflow automation. • Knowledge of the Binance ecosystem or mainstream Web3 user scenarios. • Strong English reading and writing skills, with the ability to keep up with global AI / Web3 product and technical materials.
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.
Benefits
• Shape the future of finance • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
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