AI Enablement Project Director

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 seeking a hands-on Director of AI Enablement to identify high-value business problems, deliver AI solutions in real operational environments, and turn proven approaches into reusable enterprise capabilities.

The role combines the business immersion and problem discovery of a Deployment Strategist, the technical delivery capability of a Forward-Deployed Engineer, and the product judgment required to standardize successful solutions. You will work directly with teams such as Compliance, Legal, Risk, Customer Service, Operations, and GBS, in partnership with Product, Engineering, Data, Security, and Infrastructure.

Success is measured by business impact and sustained adoption-not the number of pilots launched.

What You’ll Be Doing

1. Find and Prioritize High-Value Problems

• Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points.

• Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these.

• Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential.

• Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans.

2. Build and Deliver Solutions

• Define the minimum valuable product and rapidly validate it with real users and data.

• Personally prototype solutions such as copilots, agents, workflow automations, and internal tools.

• For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness.

• Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover.

3. Drive Adoption and Business Impact

• Design solutions with users and adapt workflows based on real operational behavior.

• Lead pilots, enablement, training, and change management required for sustained adoption.

• Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage.

• Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model.

4. Productize and Scale What Works

• Identify recurring workflows, data needs, integrations, and governance requirements across teams.

• Convert successful deployments into reusable components, templates, reference architectures, or configurable products.

• Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability.

• Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement.

• Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions.

What We Look For In You

• 4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering.

• Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement.

• Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows.

• Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering.

• Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability.

• Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems.

• Experience turning bespoke business needs into reusable products, shared services, or operating standards.

• Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives.

• High ownership and comfort operating in ambiguous, fast-changing environments.

Nice-To-Haves 

• Experience in fintech, crypto/blockchain, financial services, or another regulated industry.

• Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions.

• Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations.

• Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team.

• Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems.

Expected Outcomes

Within the first 6-12 months, the successful candidate will be expected to:

• Establish a repeatable approach for identifying and prioritizing high-value AI opportunities.

• Deliver production use cases with measurable operational impact and sustained adoption.

• Create clear ownership and decision paths from prototype to production, scale, handover, or stop.

• Turn selected deployments into reusable capabilities adopted by multiple teams.

• Build a network of business champions and technical partners capable of scaling AI adoption across the organization.

Perks & Benefits 

• Competitive total compensation package

• L&D programs and education subsidy for employees' growth and development

• Various team building programs and company events

• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Notice:

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