Engineering Alpha in Private Equity
Engineering Alpha in Private Equity is a podcast that explores how software engineering and data science excellence create operational alpha in private equity. Hosted by Dave Mangot, author of DevOps Patterns for Private Equity, and co-hosted by Paul Karner, PhD, an economist with experience in PE-backed companies. Each episode examines the intersection of technology decisions and investment outcomes.
Episodes
Engineering Alpha in Private Equity Trailer
Welcome to Engineering Alpha in Private Equity, the podcast about how software engineering and data science excellence create operational alpha in private equity.
In this trailer, Dave and Paul discuss the founding thesis of the show and what listeners can expect.
## Topics covered
- What "operational alpha" actually means
- Who are Paul Karner and Dave Mangot
- What you can expect from the sho
What's Engineering Alpha & Why You Can’t Just Rub AI on It
Welcome to the first official episode of the Engineering Alpha and Private Equity podcast! Hosts Paul Karner (economist and data scientist) and Dave Mangot (DevOps expert) break down what "Engineering Alpha" actually means for middle-market PE firms.
Moving past the old world of financial engineering, Paul and Dave explore how true operational excellence within engineering organizations drives ou
Finding “Free EBITDA” in Cloud Contracts & The AI Optionality Playbook
In this news review episode, we break down the recent wave of partnerships between major cloud vendors and private equity firms, starting with the Thoma Bravo and Google Cloud announcement. These partnerships highlight an immediate lever for value creation: enterprise cloud agreements that can drastically reduce operating expenses and instantly boost P&L. Beyond the immediate cost savings, we expl
Uber COO questions tokenmaxxing
In this hot-take episode, Paul Karner and Dave Mangot analyze a massive red flag in the current tech landscape: Uber's COO recently admitted it's getting harder to justify the money spent on AI "token maxing," while the company is slowing hiring to fund these AI investments. Dave and Paul break down why high token consumption often just creates stranded "inventory" rather than revenue-generating
Measuring the ROI of Tech Transformations
How do you actually prove that a massive technology transformation is working? In Episode 4, we flip the script and dive into Paul Karner’s world of data science and causal inference. Using a real-world example of a private equity portfolio company that implemented machine learning to automate manual document review, Paul explains the critical process of tracking tech ROI. Dave and Paul break down
The AI Amplifier Effect & Why Rework is Killing Your EBITDA
In our first dedicated research episode, Dave and Paul are joined by Nathen Harvey, who leads the DORA (DevOps Research and Assessment) program at Google Cloud. For over a decade, DORA has proven that elite software delivery performance is a leading predictor of organizational performance, including profitability and market share. In this episode, we unpack DORA's latest findings on Artificial Int
The 'Maintenance Window' Red Flag & The AI Death Spiral
If a software company still uses "maintenance windows" to release updates, it is a glaring operational warning sign.
In this explainer episode, Dave and Paul break down why maintenance windows indicate a broken software delivery culture that relies on subjective feelings rather than automated data.
For private equity operating partners evaluating a new acquisition or monitoring a portfolio comp
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