Senior Product Manager (AI)

TL;DR

Senior Product Manager (AI): Building and optimizing conversational AI chatbots and agent quality systems with an accent on data pipelines, evaluation harnesses, and operational reliability. Focus on defining metrics-driven improvements for resolution rates, managing knowledge base architecture, and designing human-in-the-loop workflows to ensure agent performance at scale.

Location: Must be based in Singapore with a current right to work (no visa sponsorship provided)

Company

A leading global crypto exchange and developer of wallet and blockchain products, committed to financial freedom and reliable, secure crypto access.

What you will do

• Own the knowledge base structure, content quality, and retrieval coverage for AI agents.
• Design and maintain agent evaluation frameworks, including test case schemas and automated scoring rubrics.
• Partner with engineering to define product requirements for agent runtime, observability, and debugging tools.
• Manage labeling pipelines, including annotation specifications and training data impact tracking.
• Drive metrics ownership, including resolution rate, fallback rate, and CSAT.
• Design human-in-the-loop workflows for case routing and correction data capture.

Requirements

• 3–6 years of PM experience with at least 2 years as a primary owner of a production chatbot or AI agent product.
• Mandarin Chinese fluency required.
• Must have current right to work in Singapore (no visa sponsorship).
• Hands-on experience with knowledge base management, labeling, and conversation analysis.
• Proven ability to deliver quantified business results in production AI environments.
• Familiarity with at least one chatbot or agent platform such as Coze, Dify, or Dialogflow.

Nice to have

• Experience designing agent evaluation harnesses and automated scoring pipelines.
• Background in product-designing internal agent platforms or observability tooling.
• Experience with LLM-as-judge evaluation and regression testing for non-deterministic systems.
• Domain knowledge in customer service, operations, or financial services.

Culture & Benefits

• Competitive total compensation package.
• Comprehensive healthcare schemes for employees and dependants.
• Wellness and meal allowances.
• L&D programs and education subsidies for professional growth.
• Team building programs and company events.