Binance Accelerator Program - Product Manager AI Agent & Harness

About The Role

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.

About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.

Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws

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. As an intern, you'll work alongside our PM team to explore how AI Agents can solve real Web3 problems — gaining hands-on experience in product design, evaluation frameworks, and cross-functional delivery within a fast-moving crypto exchange environment.

Key responsibilities

• 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

• Help identify issues from real-world Agent usage and support improvements across product, engineering, and operations.

Qualifications And Requirements

• 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.

Bonus Points

• Personal projects or coursework related to AI Agents, prompt engineering, or LLM applications.

• Experience with or exposure to exchanges, Web3 wallets, on-chain trading, payments, or fintech products.

• Familiarity with MCP, Function Calling, RAG, multi-Agent orchestration, or workflow automation.

• Knowledge of the Binance ecosystem or mainstream Web3 user scenarios.

• Fluency in English is required to be able to coordinate with overseas stakeholders and effectively review and keep up with global AI and Web3 product and technical materials. Additional languages would be an advantage.

Additional information

Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

• 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.

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