Product Manager, AI Agent & Harness

Binance

Product Manager Intern at Binance exploring AI Agents and Web3 solutions, working within a fast-moving crypto exchange environment. Engage in product design, evaluation, and cross-functional collaboration.

Posted 7/16/2026internship🇸🇬 SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates a strong foundation in AI products and Agent capabilities, with the ability to design user interaction patterns and evaluate performance metrics. Proficient in writing product requirements and collaborating with cross-functional teams in a fast-paced environment.

Highest-signal resume keywords

AI ProductsAgent ProductsWeb3 ExposureProduct FundamentalsCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer Science DegreeTask PlanningContext ManagementEvaluation FrameworksTest Case DesignFlow DiagramsAcceptance CriteriaPerformance AnalysisAutomation ToolsPrompt Engineering

Soft Skills

Learning AgilityOwnershipCommunication

Tools & Technologies

Harness FrameworkAI Agent ToolsAutomated Evaluation Tools

Industry Keywords

Web3DeFiCrypto AssetsOn-Chain TransactionsPaymentsExchangesWallets

Tech Stack

Tools & technologies

Web3

About the role

Key responsibilities & impact

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.
Help build and maintain the Harness framework — contribute to test scenario design, evaluation criteria, task set curation, performance analysis, and iteration recommendations.
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.
Research and map high-value, deployable Agent use cases across Web3 Wallet, Account, Payment, Trading, and other Binance business lines.
Stay current on AI Agent, MCP, tool-calling, prompt engineering, and automated evaluation developments — and translate insights into product ideas for the team.
Assist in defining and tracking Agent performance metrics, including task success rate, user satisfaction, error rate, response quality, and tool-calling accuracy.
Help identify issues from real-world Agent usage and support improvements across product, engineering, and operations.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)