About this role

▸about OKX — company background

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About The Opportunity

We are looking for an execution-focused Product Manager who has built and improved conversational AI products in production — and has business results to prove it. A strong plus is hands-on experience with agent evaluation harnesses or internal agent platform product design: you've defined the systems that test, score, and operate agents at scale, not just shipped the agents themselves.

You work in logs and specs, not just decks. You know what a bad retrieval chunk looks like, you've personally written labeling guidelines, and you can point to a quarter where your work moved resolution rate by double digits.

What We Are Looking For

You have hands-on experience building and operating conversational AI products in production — not just shipping agents, but owning the quality systems, data pipelines, and operational platforms that keep them reliable at scale. Ideal candidates will have background in one or more of the following areas:

Knowledge Base & Data Quality — knowledge base architecture, retrieval quality tuning, content governance, labeling pipelines, annotation guidelines, training data impact tracking, and dataset freshness management

Agent Evaluation & Quality Assurance — evaluation harness design, test case schemas, automated scoring rubrics (correctness, groundedness, tool-use accuracy), LLM-as-judge evaluation, regression testing for non-deterministic systems, and feedback-driven improvement loops

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