AI Product Leader & Builder

I help Fintech & SaaS companies turn AI ambition into working products

I'm Charles — a product leader and AI builder with deep roots in financial services and tech. I've deployed AI at enterprise scale and built hands-on AI systems from scratch. I work with companies as a fractional product lead, strategic advisor, or hands-on project partner — depending on what you actually need.

Open to fractional, consulting, and select full-time opportunities.

See My Work Let's Talk
Charles — AI Product Leader
7,000+ advisors impacted at JPMorgan
What I Do

Three ways I can help

I adapt to what you need — from embedded product leadership to rapid prototyping to strategic clarity. No retainer packages, no bloated teams.

01

Fractional Product Leadership

Need senior product leadership without a full-time hire? I embed with your team as a Principal PM or Product Lead — setting AI product strategy, aligning cross-functional teams, and driving execution from the inside. Ideal for companies serious about AI but not ready to hire a full-time senior product leader.

02

AI Strategy & Advisory

Not sure where AI creates real leverage in your business? I help you cut through the noise — identifying the highest-value use cases, mapping the risks, and building a roadmap you can actually execute. Grounded in real enterprise deployment experience at JPMorgan scale, not theory.

03

Hands-On Build & Prototyping

Sometimes the fastest way to validate an idea is to build it. I design and prototype AI-powered tools, agents, and workflows — so you can see what works before you over-invest. From internal productivity tools to customer-facing AI features.

Why Me

Enterprise depth.
Builder instinct.

Most AI consultants will tell you what to build. Few have actually built it inside a regulated enterprise with thousands of users, a compliance team, and real stakes.

At JPMorgan Wealth Management, I led the firm's first AI deployment — an internal platform that accelerated advisor research workflows by 50% and established the governance framework for all future AI at the firm. I did it by partnering across data science, engineering, risk, and compliance — and by keeping the focus on outcomes, not technology for its own sake.

Since then I've continued building — AI agents, orchestration pipelines, mobile apps with voice AI, automated trading systems — because I believe the best product leaders don't just direct, they make things.

That combination — enterprise credibility plus hands-on builder instinct — is what I bring to every engagement.

"The best product leaders don't just direct — they make things. I've done both, at scale and from scratch."
7,000+
Financial advisors impacted by AI deployment at JPMorgan
50%
Acceleration in advisor research workflows
5+
AI projects independently designed and shipped
12+
Years in product management across Fintech and SaaS
Work

What I've built & shipped

Across enterprise deployments, AI agents, mobile apps, and automated workflows — here's a sample of how I think and what I make.

Enterprise
JPMorgan Wealth Management · Director of Product Management

AI-Driven Advisor Support Platform

Led the firm's first AI deployment — an internal chatbot giving 7,000+ financial advisors instant access to market research, portfolio analytics, and client-approved content through a single natural language interface. Previously, advisors manually searched across multiple fragmented intranet portals.

What made it hard: Deploying AI inside one of the world's largest financial institutions meant navigating compliance, risk, data science, and engineering simultaneously — while keeping the advisor experience simple enough to actually drive adoption. I also established the governance framework that would guide all future AI at the firm.

RAG Enterprise AI Financial Services Governance Change Management
50%
Faster advisor research workflows
7K+
Advisors with AI-powered insights
#1
First AI use case at the firm
Independent Projects

Outside of client work, I build continuously — using real problems as the forcing function. These projects demonstrate how I think about AI orchestration, product design, and getting from idea to working system.

Job Agent

An agentic system that automates job search research, application tracking, and outreach — using LLM orchestration to surface relevant opportunities and draft personalized communications.

Shows how agentic AI can eliminate repetitive knowledge work at the individual or team level.

AI Agents LLM Orchestration Python

AI Ops

A personal AI operations layer that manages how models, agents, and workflows talk to each other. Built to explore the real challenges of orchestrating multiple AI systems reliably.

Reflects how I think about AI architecture — not just individual tools, but how they work together.

Orchestration MLOps Python

MyLinkInbox

A personal reading intelligence system — summarizes articles from Substack, X, news sites, and long-form content before I decide whether to read them, then builds a fully searchable knowledge base of everything I've saved. Uses Discord as a frictionless input pipe and supports local AI via Ollama or cloud APIs, so the entire system can run free with full data privacy.

A replicable pattern for any organization that needs to triage, summarize, and search high volumes of unstructured content — from customer feedback to internal communications to competitive intelligence.

LLMs Local AI / Ollama Semantic Search Python ChromaDB

Local Journal

A cross-platform mobile journaling app built in Flutter, integrating OpenAI's Whisper for voice-to-text — taken from concept through App Store submission.

Demonstrates full product lifecycle thinking — UX, AI integration, mobile development, and distribution.

Flutter Whisper App Store Mobile

Trading Bot

An automated trading system that processes real-time market signals and executes decisions based on configurable logic — with strong emphasis on failure modes and risk management.

Demonstrates quantitative thinking and the discipline to build AI tools where mistakes have real consequences.

Fintech Algo Trading Python Real-Time Data
Writing

Substance over hype

I write about AI product strategy, building with LLMs, and lessons from deploying AI in the real world — for product leaders and operators who want to cut through the noise.

01

What JPMorgan Taught Me About Deploying AI at Scale

The governance, compliance, and adoption lessons that most AI articles skip over.

02

I Built an AI Agent to Automate My Job Search — Here's What I Learned

What happens when you use agentic AI to solve a deeply human problem.

03

Why Your AI Strategy Should Start With One Boring Use Case

A contrarian take on why narrow beats broad when it comes to AI adoption inside large organizations.

Contact

Let's have a conversation

Whether you're exploring fractional product leadership, need an AI strategy partner, or want to talk through a specific challenge — I'm happy to connect. No pitch decks, no hard sells.

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