J

Hi, I'm

Jordan Chude Williams.

Builder. Operator. Founder.

I build products at Twitch by day and ship my own by night. I'm drawn to hard distribution problems — and the tools that don't exist yet.

About Me

I’ve never fit neatly into one box — and that’s turned out to be the advantage.

At Twitch, I work across product, engineering, operations, and people leadership. I lead a multilingual creator-growth team spanning four markets, build production software in Go, and design systems that help Twitch recruit, onboard, and retain creators at scale. My work has ranged from AI-powered recruitment and creator-coaching tools to global retention programs and chat-badge infrastructure reaching millions of users.

The common thread is leverage: I like finding something that works manually, understanding why it works, and turning it into a product, process, or team that can operate at much larger scale.

Outside of Twitch, I build products of my own. I’m building Checkpoint, a Japanese-learning app that combines structured curriculum, spaced repetition, and AI-powered practice, as well as Beacon, a social app designed to make spontaneous plans with friends easier to create and join.

I’m especially drawn to problems at the intersection of AI, product, growth, and human behavior — particularly when solving them requires both building the technology and designing the system around it.

Where I've Worked

Sr. Program Manager & Software Engineer, Partnerships @ Twitch (Amazon)

Jan 2023–Present

  • Reduced early churn among recruited creators by ~two-thirds by founding and scaling an early-intervention retention program; recruited creators now drive a double-digit share of Twitch’s new active viewers.
  • Reached 3M+ users through 10+ global chat-badge campaigns, owning the Go-based infrastructure and cross-functional execution across marquee creator, cultural, and charitable activations.
  • Lead a ~10-person team across four markets — English (NA), Japanese, Portuguese, and Spanish — after previously managing two FTEs to promotion and converting a contractor to full-time.
  • Launched an AI-powered recruitment assistant in Amazon Quick Suite that onboarded 15 hires and enabled them to engage 500+ creators within two weeks; now serves as the team’s primary self-service enablement tool.

Some Things I've Built

  • Featured Project

    Checkpoint

    Checkpoint preview

    I've been learning Japanese seriously for years (430+ day Duolingo streak and counting). Every app I tried had the same problems: bad SRS logic, no voice practice, clunky keyboards. So I built the one I wanted. Checkpoint has a custom spaced-repetition engine with progressive review escalation by mastery level, an OpenAI Realtime API voice tutor for low-latency conversation practice, and an IME-style suggestion bar so you can type in Japanese without switching keyboards. It started as a personal tool. It's becoming something bigger.

    • React Native
    • Expo
    • Supabase
    • OpenAI Realtime API
    • TypeScript
  • Featured Project

    Beacon

    Beacon map interface showing active plans and friends nearby

    Most plans with friends don’t fail because nobody wants to hang out — they fail in the group chat between “we should do something” and actually picking a place. I’m building Beacon to make spontaneous plans easier: drop a temporary Beacon where you’re going, invite friends, see who’s on the way or already there, and let the plan organize itself around the people who show up. It’s an experiment in making social software feel less like scheduling and more like real life.

    • React Native
    • Expo
    • Supabase
    • Mapbox
  • Featured Project · Twitch

    Event Chat Badges

    Event Chat Badges preview

    Chat badges sound small until you realize what they mean to creators and their communities — they're one of the primary signals of identity and loyalty in chat. I engineered the event chat badge system in Go that powers Twitch's large-scale creator activations, including drops for CDawg, PlaqueboyMax, k4sen, and others. It's reached 2.5M+ users with sustained double-digit equip rates. The kind of system nobody notices until it's part of how they show up.

    • Go
    • AWS
    • Twitch API
  • Featured Project · Twitch

    Raid Browser

    Raid Browser preview

    When a streamer ends their broadcast, they can raid another channel — sending their entire live audience over in one click. For years, picking who to raid was guesswork. I shipped Raid Browser inside the streamer dashboard: a filtered, sortable list of live channels with quick filters for Following, Same Category, Similar Size, and creators who've raided you back. It turned a moment of friction into a small ritual that strengthens the network of who watches whom.

    • TypeScript
    • React
    • Twitch API
  • Featured Project · Twitch

    Creator Recruitment Chatbot

    Onboarding new Twitch creators was slow and inconsistent — outreach, pitch generation, and Q&A all sat on a 15-person team doing it by hand. I built a recruitment chatbot in QuickSuite to automate the workflow end-to-end: pitch generation, lead processing, and onboarding Q&A. It moved 1,000 creators through in two weeks.

    • QuickSuite
  • Featured Project

    Clip Digest

    Clip Digest preview

    As a Partner Manager you might oversee 150+ creators. Reviewing what each of them streamed last week is the kind of work that quietly eats your day. I built Clip Digest to compress it: paste in a list of usernames, pull each creator's latest VODs and highlights side-by-side, review in parallel. It cut content review time 25% across the 150+ accounts on my team. It's live on the web — go try it on your favorite streamers.

    • React
    • Node.js
    • Express
    • MongoDB
    • Twitch API
  • Side Project

    Anki + OpenAI Enhancement Pipeline

    Anki + OpenAI Enhancement Pipeline preview

    Anki is powerful but tedious to populate well. I built a Python pipeline on top of the OpenAI API that programmatically enriches each Japanese flashcard with grammar breakdowns, mnemonics, and example sentences. It runs over 2,000+ cards in my study stack and cut manual card creation time by 95%. The best tools are the ones that remove friction from the thing you're already trying to do.

    • Python
    • OpenAI API
    • Anki

04. What's Next?

Let's Build Something

I'm always open to conversations about hard problems — whether that's a product you're building, a team you're scaling, or an idea you can't get out of your head. I'm selectively available for consulting and the right full-time opportunity. If it sounds interesting, reach out.

Say Hello