Ethan Schreiber
Product · Internal Tools · CRM
Austin, TX
Manager of Pega Platform Product Internal Tools · CRM · APIs Austin, TX

Ethan Schreiber

I manage the product team behind a top-10 credit union's internal platforms: the CRM, workflow, and API tools employees use to serve members.

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I've spent my career on software customers never see: the tools employees use to help them.

I manage four product managers and a project manager at a top-10 credit union. We set Pega platform strategy, and I've been covering director-level responsibilities during a leadership vacancy. Right now that means leading the Pega side of a merger: reviewing 335 workflows across two legacy systems and deciding which ones to keep.

Before this I spent three years as the senior technical PM on the same platforms. The biggest project was Simplification, a top priority the CEO spoke about regularly, which cut 9 million clicks and 27,000 hours a year from employee workflows.

Outside of work I build AI agent systems and mobile apps. The longest-running was Choicescout, a content pipeline that used Claude for research and writing and Gemini for images.

Ethan in a wide grass valley with mountains behind him. — Lamar Valley · Yellowstone —
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Selected work

A few pieces from current and recent roles — see more.

First Tech FCU Team Leadership

Managing the Pega platform team

Lead four product managers and a project manager setting Pega platform strategy, while covering director-level responsibilities during a leadership vacancy. Currently leading the Pega side of a merger across 335 workflows.

First Tech FCU Internal Tools

9 million clicks and 27,000 hours removed

Led Simplification, a top priority the CEO spoke about regularly. Traced lost employee time to how the tools were built (manual handoffs, redundant approvals, missing integrations) and shipped 51 features in 2025 to fix it, matching the output of the rest of the PM department combined.

First Tech FCU AI · Agents

Internal AI agent, 1,000+ daily questions

Product vision, prompt engineering, and rollout for an internal AI agent (Pega Knowledge Buddy) used by customer service reps. Built the business case, made the build-vs-buy call, and worked through resistance from reps who worried AI would change their jobs. Saves roughly 1,200 hours a year.

Personal AI Agents

Choicescout

An AI content system I built and ran. Specialized agents researched, wrote, and published affiliate product reviews for about $0.50 an article.