Breaking
PAVE FINANCE CTO Auden Ehringer leads the engineering arm of a fintech overseeing billions in advised assets 2025 Pave closes oversubscribed $14M seed round FORMER Google YouTube Site Reliability Engineer STANFORD Two B.S. degrees: Electrical Engineering + Computer Science BUILT Alexa sports features at Amazon Lab126 ALSO Drove a solar-powered race car across the Australian outback
Engineer / Operator / Fintech

Auden
Ehringer

CTO, Pave Finance  //  CEO, Pave Labs

He spent years making sure a billion people could watch the next video. Now he makes sure twenty thousand portfolios behave.

Auden Ehringer, CTO of Pave Finance
AUDEN EHRINGER. The reliability engineer who decided money deserved the same uptime as search results.
The Dispatch

Reliability, Reapplied

Most people who keep YouTube running do not wake up one morning and decide to fix wealth management. Auden Ehringer did.

Today he is the Chief Technology Officer of Pave Finance, the New York fintech building software that lets independent financial advisers automate and personalize the way they manage money. He also runs the company's technology subsidiary, Pave Labs, as its CEO. The job, stripped to its core, is an engineering problem dressed in a suit: take strategies that used to live inside hedge funds and private banks, and turn them into software an adviser can run across thousands of client accounts without breaking a sweat - or a compliance rule.

Pave's platform now helps oversee billions of dollars across tens of thousands of portfolios. It scores more than ten thousand publicly traded securities, optimizes allocations, executes trades, harvests tax losses, builds direct-indexed and ESG portfolios, and produces the kind of reporting that keeps regulators calm. Ehringer is the person responsible for making all of that actually work, every market day, without surprises.

If that sounds like reliability engineering, that is because it is. Before fintech, Ehringer was a Site Reliability Engineer - the discipline Google invented to keep enormous systems from falling over. His beat was YouTube Discovery, the recommendation machinery feeding videos to well over a billion viewers. SRE is an unglamorous craft. Nobody throws a parade when the site stays up. But it teaches a particular worldview: assume things will break, measure everything, and build systems that fail gracefully instead of catastrophically. That instinct is exactly what a platform moving real money needs.

What makes his move interesting is not that an engineer joined a startup. It is that he picked a corner of finance where the stakes are quiet but unforgiving. A dropped video loads a second late. A mishandled trade or a botched tax-loss harvest costs a real family real money. Ehringer took the reliability gospel of big tech and pointed it at a problem where uptime is measured in trust.

Keeping a portfolio honest is an uptime problem in a nicer suit.
The Pave thesis, in plain terms
$14M
Oversubscribed seed, 2025
2
Stanford B.S. degrees
10K+
Securities tracked by Pave
285bps
Avg. annual model edge vs S&P*
The Long Way Round

How He Got Here

2016

Wireless energy, and a solar car

Research intern in Stanford's Electrical Engineering department, working on wireless energy harvesting networks. Around the same time he joined the Stanford Solar Car Project as a driver and battery-team member.

2017

Teaching Alexa about sports

Software development intern at Amazon Lab126, designing sports features for Alexa - so some of the scores the speaker reads aloud trace back to his code.

2018

Two degrees, one campus

Graduates Stanford with B.S. degrees in both Electrical Engineering and Computer Science. A summer spent as a research intern at First Republic Private Wealth Management - an early brush with finance.

2018-19

Shipping at Amazon

Returns to Amazon Lab126 as a full-time software engineer.

2019-23

Keeping YouTube standing

Site Reliability Engineer, then Senior SRE, at Google, working on YouTube Discovery - the recommendation systems serving a billion-plus viewers.

2023

Into the money

Joins Pave Finance as Head of Engineering, trading planet-scale infrastructure for the messier mechanics of managing wealth.

Now

Running the technology

Chief Technology Officer of Pave Finance and CEO of Pave Labs, the company's software arm.

Four Worlds, One Engineer

The Through-Line

Hardware

Solar Cars

He helped build and drive a sun-powered race car, the kind that competes in the World Solar Challenge across the Australian outback. Batteries, range, and not running out of power - reliability in its most literal form.

Consumer AI

Alexa

At Amazon Lab126 he designed sports features for the smart speaker - turning live data into something a voice could deliver instantly and correctly.

Infrastructure

YouTube

As a Google SRE on YouTube Discovery, his job was to make sure recommendations kept flowing to a planet's worth of viewers. No applause for uptime, only blame for downtime.

Fintech

Pave

Now he applies the same reliability discipline to portfolios - automating active management, personalization, and trading so advisers can scale without losing the human touch.

Structure

Three-in-One

Pave runs as three units: Pave Labs (software), Pave Securities (broker-dealer), and Pave Investment Advisors. Ehringer commands the software arm.

Philosophy

Personalization > Slogans

Pave's pitch is that real personalization is built, not branded - an alpha-scoring algorithm, an optimization engine, and a trading system doing the work behind the scenes.

The Margins

The notes that do not fit the resume - the small, specific things that make an engineer interesting.

Double major, no shortcuts. Two separate B.S. degrees from Stanford - Electrical Engineering and Computer Science.
The big-tech trifecta. Amazon for hardware, Google for scale, and now a fintech for stakes. Three very different definitions of "don't break it."
He has literally driven for it. A battery-team member who also sat behind the wheel of a solar racer - the rare engineer who has tested his own systems at speed.
From recommendations to allocations. The math of ranking videos and the math of optimizing portfolios are closer cousins than they look.

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