Product / From customer workflow to shipped

Products built around the work.

I build products by starting with the customer's workflow: a factory's production process, a sales team's follow-up, a dental practice's charting. Then I stay involved through delivery.

Austin, Texas · Open to AI product roles

Matthew Rundle
Matthew RundleBuilder. Team leader. Hands-on.
AI Product
Founder

Built Domain Labs’ two AI products, from customer problem to working software.

In production

The MES and ERP running Western Magnetics’ factory.

This résumé

AI Product and Software Delivery

Download PDF

Domain Labs, 2025 / Western Magnetics, 2026 to present

How I work

Start with the workflow.

01

Sit with the users

Production staff, small-business owners and clinicians shaped each product from the first prototype.

02

Design the handoffs

Drafts, reviews, approvals and escalations are product decisions, not edge cases.

03

Own the delivery

System design, data model and APIs through rollout, not a spec thrown over the wall.

How a product gets built

  1. 01WorkflowHow the work actually happens
  2. 02PrototypePut something real in front of users
  3. 03HardenIntegrate, review, iterate
  4. 04Roll outSoftware people use daily

Selected work / 01—03

Built to be used.

Three systems, three different businesses. Ownership from the problem through production.

AI that writes the dentist’s chart notes.

After a patient visit, Scribe drafts the clinical note and billing codes for the dentist to review and approve. It also tells the practice what supplies upcoming appointments need.

  • AI-drafted SOAP notes, ICD and CDT codes and procedural notes.
  • Clinicians edit, review and approve the drafts; review is built into the workflow.
  • Connects upcoming appointments to inventory and practice operations.
Explore the populated demo

Next.js · React · Supabase · Anthropic · OpenAI

Scribe / Practice
CoreLinq Scribe development screenshot showing the demo practice dashboard
Development screenshot · demo practice

AI that handles a small business’s calls, texts and email.

One platform for outreach and follow-up. AI agents make and answer calls, work the inbox and book appointments, then turn conversations into orders.

  • Verifies conversation outcomes before creating follow-up tasks.
  • Detects stalled work, bounds retries and escalates to a person when needed.
  • Drip campaigns, cold and warm-lead calling, AI inbox handling and scheduling through one agentic process.

Next.js · TypeScript · Supabase · Inngest · Retell · Twilio

CoreLinq / Outbound
CoreLinq campaign interface showing outreach progress and call outcomes in a demo workspace
Actual product screenshot · synthetic demo data

The software that runs Western Magnetics’ factory.

I built the manufacturing execution system (MES) and ERP the company runs on: every build, quality check, purchase, inventory move and shipment goes through it.

The setting

A hard-tech startup that needed software built around the factory’s real operating needs, with the people doing the work.

Next.js · TypeScript · PostgreSQL · Prisma · Docker

01

Worked directly with production staff from prototype through integration, hardening and rollout.

02

Work-order, routing and station workflows with role-based operator interfaces.

Experience

Build it. Lead it.
Understand the business.

Full résumé

Expedia Group / Vrbo · 2019–2025

Data is useful when it changes a decision.

I built and managed a team of six data scientists, working with executives on the commercial decisions behind a travel business.

  • Build the team. Shared Python and SQL standards for analytics work.
  • Understand the market. Segmentation across more than 15 variables to prioritize high-value property acquisition.
  • Inform the executives. Integrated disparate data into executive reporting for strategy and resource allocation.

2026 — Present

Western Magnetics

Manufacturing systems and applied AI

Built and deployed the MES and ERP running production, quality, purchasing, inventory and shipping.

2025

Domain Labs

Founder, AI and SaaS Solutions

Designed and built custom SaaS for small businesses, including CoreLinq Communications and CoreLinq Scribe.

2021 — 2025

Expedia Group / Vrbo

Senior Manager, Supply and Commercial Data Science

Built and managed a team of six data scientists. Established executive analytics for commercial strategy and resource allocation.

2019 — 2021

Expedia Group / Vrbo

Manager, Analytics and Data Science

Market segmentation across more than 15 variables; regional reporting for sales visibility and prioritization.

2013 — 2019

HomeAway · National Instruments · Advisory Board

Analytics and consulting

Global reporting, data analytics consulting and business analysis.

Toolkit

Product delivery

Workflow design, system and API design, data modeling, stakeholder collaboration and software rollout

AI products

LLM APIs, agent workflows, outcome verification and human editing and approval workflows

Business

Commercial prioritization, executive reporting, segmentation, Python and SQL

Fair questions

What people
usually ask.

Have you held a formal PM title?

No. I've owned products as the builder and founder: deciding what to build, designing the workflow and shipping it. Before that I led commercial analytics that informed product and business priorities.

How do you decide what to build?

Start from the workflow and the decision it supports. At Expedia that meant segmentation and executive analytics; in my products it means watching how the work happens first.

How do you handle AI output quality?

Design the review into the product. Scribe drafts notes and codes; clinicians edit, review and approve. CoreLinq verifies outcomes before acting.

Can you work with engineering teams?

I am one. I build the systems I design, and I've led a team of six data scientists with shared Python and SQL standards.