Product Manager - CS Internal Tools & Operations at Binance

Binance

Hong Kong·3d ago

InternFull-timeRustGitAI

Salary Range

$21,675 - $29,325 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Product Manager to join Binance, a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange. This role focuses on managing the end-to-end product lifecycle of Customer Service (CS) management systems.

Key Responsibilities

→Product Planning & Lifecycle Management: Responsible for the end-to-end product lifecycle of Customer Service (CS) management systems, specifically focusing on Quality Assurance (QA), Performance Management, Learning & Training systems, and Notification Centers.
→Multi-Channel Support Optimization: Maintain and enhance multi-channel service tools (Ticketing System, Email, Whistleblowing, Outbound), ensuring stability and operational efficiency for global CS teams.
→Efficiency & Intelligence: Leverage AI and automation to upgrade traditional management workflows. Examples include AI-assisted QA scoring, automated performance reporting, and smart task distribution.
→Stakeholder Collaboration: Partner closely with CS Management, QA, Training, and Compliance teams to identify operational bottlenecks and translate complex business requirements into scalable product solutions.
→Data-Driven Iteration: Monitor key usage metrics of internal tools (e.g., system adoption rate, processing time) and utilize data insights to drive continuous product optimization and reduce administrative overhead.

Requirements

✓Bachelor’s degree or above; 3-5 years of product management experience, preferably in CRM, SaaS, B2B internal tools, or Contact Center systems.
✓Domain Knowledge: Familiarity with CS operations workflows (QA, Training, Performance) or ticketing systems (e.g., Zendesk, Salesforce) is a strong plus.
✓Logical & System Thinking: Strong ability to design complex workflows and permission systems. Capable of handling intricate logic behind backend management consoles.
✓Communication: Excellent communication skills to align with multiple internal stakeholders (Operations, Legal, Compliance, Dev) in a fast-paced global environment.
✓Data & AI Sensitivity: Proficiency in data analysis and a good understanding of how to apply LLM/AI to internal operational scenarios.