Director, AI Operations Strategy

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 Team The AI Operations Strategy function is a core capability within Global Business Services (GBS), responsible for defining and governing how AI is applied across Global Business Services to improve customer experience, operational effectiveness, productivity, and scalability. Working at the intersection of GBS, AI, and Product & Engineering, the team translates operational intelligence into scalable AI solutions that improve customer experience, operational efficiency, and business outcomes. Rather than building AI platforms, the team ensures AI capabilities are applied to solve the highest-value operational problems while creating a continuous feedback loop between GBS operations, Product, and Engineering. About The Opportunity As Director, AI Operations Strategy, you will lead the AI strategy and intelligent operations agenda for Global Business Services. Your primary responsibility is to define the AI strategy for GBS by identifying high-value operational opportunities, translating business priorities into scalable AI use cases, and ensuring AI delivers measurable business outcomes. While this is not an AI engineering role, you are expected to possess strong technical fluency in LLMs, conversational AI, prompt engineering, retrieval systems, APIs, and AI solution design to effectively partner with Product and Engineering teams and bridge operational requirements with technical implementation. This role owns the AI Operations Strategy for Global Business Services, ensuring operational priorities, customer insights, and business outcomes shape AI investments while serving as the strategic bridge between GBS, Product, and Engineering. Engineering remains accountable for platform development, while this role is accountable for value realization, adoption, and operational impact. What You’ll Be Doing - Define and execute the AI Operations Strategy for Global Business Services, establishing the roadmap for conversational AI, intelligent automation, and AI-assisted workflows across customer operations. - Develop the AI capability roadmap for GBS, including governance, operating model, adoption strategy, success metrics, and capability development to establish AI as a core operational capability across Global Business Services. - Serve as the AI Strategy Lead within GBS, bringing sufficient technical fluency in LLMs, NLP, RAG, prompt engineering, AI evaluation, APIs, and system integrations to engage Product and Engineering teams as a credible partner. Translate operational priorities into AI capabilities, influence solution design, and ensure operational insights are systematically reflected in Product and Engineering roadmaps. - Establish a closed-loop AI Operations framework that continuously improves AI performance, operational outcomes, and customer experience through operational insights, customer interactions, knowledge optimization, annotation quality, and structured feedback into Product and Engineering. - Drive measurable gains in automation coverage, cost-to-serve, and operational efficiency; establish performance frameworks that connect AI initiatives to business outcomes, customer experience, operational efficiency, workforce productivity, and business value. - Act as the strategic bridge between GBS and Product & Engineering by representing the voice of Global Business Services in enterprise AI planning, ensuring operational priorities, customer insights, and frontline intelligence influence AI investment decisions, product roadmaps, and solution design. - Establish governance for AI adoption across GBS, including prioritization, value realization, risk management, and success measurement to ensure AI initiatives align with business strategy and regulatory expectations. What We Look For In You - 8+ years of experience spanning conversational AI/NLP/LLM systems and operations in fintech, crypto, trading, or high-scale digital platforms, with 4+ years in senior leadership roles managing technical or AI-adjacent team

8+ years of experience spanning conversational AI/NLP/LLM systems and operations in fintech, crypto, trading, or high-scale digital platforms, with 4+ years in senior leadership roles managing technical or AI-adjacent teams.

Define and execute the AI Operations Strategy for Global Business Services, establishing the roadmap for conversational AI, intelligent automation, and AI-assisted workflows across customer operations. Develop the AI capability roadmap for GBS, including governance, operating model, adoption strategy, success metrics, and capability development to establish AI as a core operational capability across Global Business Services. Serve as the AI Strategy Lead within GBS, bringing sufficient technical fluency in LLMs, NLP, RAG, prompt engineering, AI evaluation, APIs, and system integrations to engage Product and Engineering teams as a credible partner. Translate operational priorities into AI capabilities, influence solution design, and ensure operational insights are systematically reflected in Product and Engineering roadmaps. Establish a closed-loop AI Operations framework that continuously improves AI performance, operational outcomes, and customer experience through operational insights, customer interactions, knowledge optimization, annotation quality, and structured feedback into Product and Engineering. Drive measurable gains in automation coverage, cost-to-serve, and operational efficiency; establish performance frameworks that connect AI initiatives to business outcomes, customer experience, operational efficiency, workforce productivity, and business value. Act as the strategic bridge between GBS and Product & Engineering by representing the voice of Global Business Services in enterprise AI planning, ensuring operational priorities, customer insights, and frontline intelligence influence AI investment decisions, product roadmaps, and solution design. Establish governance for AI adoption across GBS, including prioritization, value realization, risk management, and success measurement to ensure AI initiatives align with business strategy and regulatory expectations.