OKX

Venture capital for blockchain startups

AI Enablement Project Director

Program ManagementConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

At least 4 years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software or data engineering.
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.
Product judgment in prioritization, minimum viable product definition, trade-off decisions, rapid validation, and avoiding over-engineering.
Technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability.
Working knowledge of large language models, retrieval-augmented generation, 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.

Responsibilities

Embed with business teams and frontline users to understand workflows, decisions, data, constraints, and pain points.
Separate root causes from symptoms and determine whether the appropriate solution is process redesign, better data, automation, AI, or a combination.
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.
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.
Partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness for larger or higher-risk initiatives.
Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover.
Design solutions with users and adapt workflows based on real operational behavior.
Lead pilots, enablement, training, and change management 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.
Identify recurring workflows, data needs, integrations, and governance requirements across teams.
Convert successful deployments into reusable components, templates, reference architectures, or configurable products.
Decide whether 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 to reduce duplicated and one-off solutions.
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.

Desired Qualifications

Experience in fintech, crypto or 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 or Feishu and enterprise internal-tooling ecosystems.

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:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

About the Company

OKX

Venture capital for blockchain startups

OKX Ventures acts as the investment arm of the OKX cryptocurrency exchange, funding and supporting blockchain, DeFi, and Web3 projects. It invests across a wide range of areas—from infrastructure and middleware to applications and games—aiming to strengthen the crypto ecosystem. The firm provides capital and access to OKX’s network of partners and advisors to help portfolio companies grow and succeed. Notable holdings include Polygon, Solana, and Avalanche, reflecting a strategy focused on projects with potential to impact the crypto industry at large. OKX Ventures differentiates itself through its crypto-native perspective, extensive industry network, and active involvement in portfolio development, rather than just providing funding. Its goal is to identify promising projects and help them scale, contributing to a more robust and innovative blockchain ecosystem.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: $1.1B
Headquarters: Singapore, Singapore
Founded: 2017

Recently Posted Jobs

Explore more opportunities at OKX

See more jobs