AI Product Leader & Builder

I turn AI opportunities into working products and workflows

I'm Charles, a product leader and hands-on AI builder with deep experience in financial services and enterprise technology. I work from discovery and prototyping through product strategy, evaluation, governance, and delivery, especially in complex, regulated environments.

Available for consulting, contract, fractional, and select full-time opportunities.

Discuss a Product Challenge See My Work
Charles — AI Product Leader
9,000+ users in the broader JPMorgan Wealth Management advisor platform
What I Do

Three ways I can help

I help teams move from a real business problem to a product, workflow, prototype, evaluation approach, and delivery plan that people can actually use.

01

AI Product Discovery & Prototype

You see an AI opportunity but aren't sure exactly what to build.

I help identify the workflow, understand the users and business problem, define the AI use case, prototype the experience, establish evaluation criteria, and turn the concept into an executable product plan.

Typical engagement: focused project or sprint, approximately 2-6 weeks depending on scope.

02

Embedded AI Product Leadership

You have an AI initiative and need an experienced product leader to drive it.

I embed with product, engineering, design, data, business, and control partners to take an AI product from ambiguity through validation, delivery, and adoption.

Typical engagement: short- or medium-term contract, approximately 3-6+ months depending on need.

03

Fractional Product Leadership

You need senior product leadership without adding another full-time executive.

I provide ongoing product leadership across strategy, prioritization, roadmap development, stakeholder alignment, team operating practices, and execution.

Typical engagement: part-time or fractional ongoing leadership.

Why Me

Enterprise depth.
Builder instinct.

AI in a regulated enterprise looks very different from AI in a demo. I've worked through that reality firsthand across users, engineering, data science, risk, compliance, governance, adoption, and the constraints that come with each.

At JPMorgan Wealth Management, I owned the Wealth pilot of an internal advisor research chatbot on a platform serving 9,000+ users, including approximately 5,000 financial advisors. My role covered field feedback, adoption, and lightweight governance ahead of broader rollout.

That experience shapes how I approach AI product leadership in environments where privacy, controls, human review, governance, auditability, stakeholder complexity, and user adoption all matter.

Since then I've continued building: agentic workflows, orchestration prototypes, mobile products with voice AI, and structured evaluation approaches. The best product leaders don't just direct; they make things concrete.

That combination of regulated-enterprise experience and hands-on product building is what I bring to every engagement.

"The useful path from AI idea to adopted product runs through users, workflows, engineering, controls, evidence, and trust."
9,000+
Users in the broader JPMorgan Wealth Management advisor platform
5,000+
Financial advisors within the broader platform user base
12+
Years in product leadership
Deep
Financial-services experience
Work

Selected product work

A focused sample of product leadership and hands-on AI building, curated around the work most relevant to complex environments.

Enterprise
JPMorgan Wealth Management · Director of Product Management

Internal Advisor Research Chatbot Pilot

Owned the Wealth pilot of an internal advisor research chatbot designed to help advisors access market research, including internal use and client-approved content, through a natural-language experience. The pilot ran within the broader JPMorgan Wealth Management advisor platform, which served 9,000+ users, including approximately 5,000 financial advisors. My role covered product ownership, field feedback, adoption, lightweight governance, cross-functional partnership, and preparation for broader rollout.

What made it hard: Piloting AI inside a regulated financial institution required coordination across product, data science, engineering, risk, compliance, business, and operations while balancing usefulness, controls, user feedback, and adoption. My role included field feedback, adoption, and lightweight governance as the Wealth organization prepared for broader rollout.

RAG Enterprise AI Financial Services Governance Change Management
9K+
Platform users in the broader advisor ecosystem
5K+
Financial advisors within the platform user base
Pilot
Internal advisor research chatbot
Hands-On Product Building

Outside of enterprise work, I build continuously using real problems as the forcing function. These examples show how I translate ambiguous workflows into prototypes, evaluation patterns, and usable products.

Post-Meeting Operations Intelligence

An active agentic AI prototype for turning unstructured meeting information into CRM-ready notes, tasks, follow-up artifacts, next-best actions, and human-reviewed downstream work.

Demonstrates how I approach ambiguous AI workflows: typed domain objects, golden evaluation cases, synthetic policy scenarios, human review, deterministic validation, and workflow orchestration.

AI Agents Evaluation Human Review Workflow Design

Local Journal® — Privacy-First Mobile Product

Designed, built, and shipped a privacy-first journaling app using Flutter and Dart, with on-device Whisper voice transcription, local data storage, biometric privacy controls, premium features, and in-app purchasing.

Demonstrates end-to-end product building: from product concept and UX decisions through implementation, privacy architecture, monetization, testing, and App Store release.

Flutter On-Device AI Whisper Privacy Consumer Product
Contact

Let's have a conversation

Whether you're hiring for full-time product leadership, staffing a contract AI/product role, exploring fractional support, or testing a specific AI product idea, I'm happy to talk through the challenge.

I typically respond within one business day. If you'd prefer to reach out directly or connect on LinkedIn before diving in, those options are below.

Or email me directly at charles.kang@gmail.com

↗ LinkedIn ↗ GitHub
Building what's next, one product at a time.
Engagements through CK Creative and Consulting LLC