Role in brief
Binance is seeking a Product Manager for their AI Chat Bot to manage the full product lifecycle of customer service management systems. This role focuses on enhancing multi-channel support tools, integrating AI for efficiency, and collaborating with various internal teams. Candidates with experience in CRM, SaaS, or contact center systems and a strong understanding of AI applications in operations should apply.
About the role
This role involves leading the product lifecycle for internal customer service management systems, including Quality Assurance, Performance Management, Learning & Training, and Notification Centers. The Product Manager will be responsible for maintaining and enhancing multi-channel service tools such as ticketing systems, email, and whistleblowing, ensuring they are stable and efficient for global customer service teams.
A key aspect of this position is leveraging AI and automation to modernize traditional management workflows. This includes implementing AI-assisted QA scoring, automated performance reporting, and smart task distribution. The goal is to upgrade existing processes, making them more efficient and intelligent through technological advancements.
Success in this role requires close collaboration with various stakeholders, including CS Management, QA, Training, and Compliance teams. The Product Manager will identify operational bottlenecks and translate complex business needs into scalable product solutions. Continuous product optimization will be driven by monitoring key usage metrics and utilizing data insights to reduce administrative overhead.
The role offers a competitive salary ranging from $120,000 to $200,000 USD annually.
Skills that matter here
- CRM, SaaS, B2B internal tools, or Contact Center systems: Experience in these areas is preferred, as the role involves managing internal tools for customer service operations.
- CS operations workflows (QA, Training, Performance) or ticketing systems (e.g., Zendesk, Salesforce): Familiarity with these domains is a strong advantage, as the role directly addresses these areas within customer service.
- Logical & System Thinking: This is crucial for designing complex workflows and permission systems and handling the intricate logic of backend management consoles.
- Communication: Excellent communication skills are necessary to align with diverse internal stakeholders across different departments in a fast-paced environment.
- Data & AI Sensitivity: Proficiency in data analysis and understanding how to apply large language models and AI to internal operational scenarios is essential for upgrading workflows.
Who this role suits
- A person who thrives on designing and optimizing complex internal systems.
- Someone who enjoys collaborating with diverse internal teams to solve operational challenges.
- An individual adept at translating business requirements into scalable product solutions.
- A professional who is data-driven and understands how to apply AI to improve operational efficiency.
From the employer
- 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.
- 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.
- 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)
Questions about this role
What is the seniority level for this role?
The role requires 3-5 years of product management experience, indicating a mid-level to senior individual contributor position.
What is the remote work policy for this position?
This is a remote position, with work-from-home arrangements available, though specific arrangements may vary based on business team needs.
What kind of skills are important for this Product Manager role?
Important skills include experience with CRM/SaaS/B2B internal tools, familiarity with CS operations, strong logical and system thinking, excellent communication, and proficiency in data analysis and AI applications.