Product Manager / Director, AI Trading

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 OKX's Strategy Trading team owns one of the most feature-rich automated trading suites in the crypto industry — covering Grid Trading, DCA, Martingale, Smart Arbitrage, Copy Trading, and more. We are now building our next-generation AI-powered trading products, aiming to fundamentally transform how users discover, configure, and execute trading strategies through intelligent automation, AI agents, and natural-language interfaces. We are looking for a Product Manager who lives at the intersection of AI and crypto trading — someone who is not only passionate about large language models, agent architectures, and intelligent automation, but also deeply understands trading products and user behavior. You will be responsible for defining, designing, and shipping AI-native features across our strategy trading product line, working closely with engineering, data science, and design teams to bring the future of AI trading to millions of users worldwide. What You’ll Be Doing - Own the product roadmap for AI Trading features — From AI-assisted strategy recommendations, conversational trading interfaces, and intelligent risk alerts, to autonomous trading agents. Define the vision, prioritize ruthlessly, and ship iteratively. - Translate complex AI capabilities into intuitive user experiences — Bridge the gap between LLM/Agent technology and real user needs; design product flows that make advanced trading intelligence accessible to both novice and expert traders. - Drive the full product lifecycle — Conduct user research, write detailed PRDs, collaborate with engineering on technical feasibility, run experiments, analyze data, and iterate based on real-world feedback and trading performance metrics. - Build deep domain expertise at the intersection of AI and trading — Stay on top of the latest developments in LLMs, AI agents (MCP, tool-use, ReAct loops), prompt engineering, and crypto market structure; translate emerging capabilities into product opportunities before competitors do. - Collaborate cross-functionally — Work with data scientists on model evaluation, with backend engineers on API and infrastructure design, with UX designers on interaction patterns, and with business teams on go-to-market strategy. - Shape the AI product strategy — Contribute to the broader AI trading vision, including platform-level decisions around open ecosystem (SDK/MCP), AI advisor, auto-execution, and user data leverage. What We Look For In You - 3+ years of product management experience, with at least 1 year focused on AI/ML-powered products (chatbots, recommendation systems, AI agents, copilots, or similar). Crypto/fintech product experience is a strong advantage. - Deep understanding of AI product paradigms — Ability to articulate the differences between RAG, fine-tuning, prompt engineering, and agent-based architectures, and know when to apply each. You have hands-on experience with LLM-based product design, evaluation, and iteration. - Strong technical intuition — Comfortable reading API documentation, discussing system architecture with engineers, understanding data pipelines, and prototyping with tools like Python, prompt playgrounds, or no-code/low-code AI platforms. You don't need to be a developer, but you think like one. - Genuine passion for crypto and trading — Actively uses crypto trading products, understand order types, market microstructure, and can explain how a grid bot or DCA strategy works. Ideally, you have skin in the game. - High agency and execution velocity — Thrive in ambiguity, move fast from "vague idea" to "shipped MVP", and are comfortable making decisions with incomplete information. You don't wait for permission; you build conviction and drive alignment. - Excellent communication skills — Ability to write a crisp PRD, present a compelling product strategy to leadership, and facilitate productive debates with engineers. You adap

3+ years of product management experience, with at least 1 year focused on AI/ML-powered products (chatbots, recommendation systems, AI agents, copilots, or similar). Crypto/fintech product experience is a strong advantage. Deep understanding of AI product paradigms — ability to articulate differences between RAG, fine-tuning, prompt engineering, and agent-based architectures, and know when to apply each. Hands-on experience with LLM-based product design, evaluation, and iteration. Strong technical intuition — comfortable reading API documentation, discussing system architecture with engineers, understanding data pipelines, and prototyping with tools like Python, prompt playgrounds, or no-code/low-code AI platforms. You don’t need to be a developer, but you think like one. Genuine passion for crypto and trading — actively uses crypto trading products, understand order types, market microstructure, and can explain how a grid bot or DCA strategy works. Ideally, you have skin in the game. High agency and execution velocity — thrive in ambiguity, move fast from idea to shipped MVP, comfortable making decisions with incomplete information. Excellent communication skills — ability to write a crisp PRD, present a compelling product strategy to leadership, and facilitate productive debates with engineers.

Own the product roadmap for AI Trading features — from AI-assisted strategy recommendations, conversational trading interfaces, and intelligent risk alerts, to autonomous trading agents. Define the vision, prioritize ruthlessly, and ship iteratively. Translate complex AI capabilities into intuitive user experiences — bridge the gap between LLM/Agent technology and real user needs; design product flows that make advanced trading intelligence accessible to both novice and expert traders. Drive the full product lifecycle — conduct user research, write detailed PRDs, collaborate with engineering on technical feasibility, run experiments, analyze data, and iterate based on real-world feedback and trading performance metrics. Build deep domain expertise at the intersection of AI and trading — stay on top of the latest developments in LLMs, AI agents (MCP, tool-use, ReAct loops), prompt engineering, and crypto market structure; translate emerging capabilities into product opportunities before competitors do. Collaborate cross-functionally — work with data scientists on model evaluation, with backend engineers on API and infrastructure design, with UX designers on interaction patterns, and with business teams on go-to-market strategy. Shape the AI product strategy — contribute to the broader AI trading vision, including platform-level decisions around open ecosystem (SDK/MCP), AI advisor, auto-execution, and user data leverage.