Peter Hsu
Software Engineering Leader | Global Strategy · Org Scaling · M&A Technical Due Diligence · AI Integration · AWS Cloud-Native | Enterprise SaaS
- Role
- VP, Software Engineering at Accurate Background
- Location
- Irvine, CA, US
- LinkedIn followers
- 500 followers
About Peter Hsu
I build software engineering organizations that scale — and I do it with measurable results.Over the past 20+ years, I\'ve grown and restructured global engineering organizations to 140+ engineers across 16 cross-functional teams, led $1.5M+ in operational cost savings, and driven 30% productivity gains by embedding AI across the full software development lifecycle — from requirements through QA. Most recently as VP of Engineering at Accurate Background, I led 16 cross-functional product teams across the U.S. and India, delivering cloud-native SaaS products at enterprise scale on AWS.What sets my leadership apart: — Org design at scale. I restructure teams from project-based to product-oriented pods, reducing coordination overhead and accelerating delivery. — AI-first culture. I don\'t just implement AI tools — I build the adoption frameworks, measurement systems, and change management programs that make them stick. — M&A technical leadership. I\'ve led technical due diligence and integration execution across multiple acquisitions — evaluating architecture risk, team capability, and system compatibility under deal timelines. — Business-aligned engineering. I speak fluent product and finance — connecting OKRs, DORA metrics, and release governance directly to revenue outcomes.I\'m currently open to VP of Engineering, Senior Director of Engineering, and Head of Engineering roles at companies where engineering is a strategic competitive advantage — not just a cost center.Let\'s connect over any technology-related topics. Irvine, CA (open to hybrid/remote)
Experience
VP, Software Engineering
Apr 2022 — Present · Irvine, CA, US
Redesigned engineering org into 16 product-oriented pods (140+ engineers/managers, U.S. & India) — improved accountability, delivery speed, and saved operational costs over a period of 24 months.Championed AI integrations through collaborations across full SDLC workflow; secured executive buy-in, led PoCs, and rolled out tools with efficiency improvement across developer and QA functions.Developed OKR framework connecting engineering metrics (MTTR, release cycle, code quality) to business outcomes; ran quarterly business reviews across all pod teams.Drove ~15% increase in unit/integration test coverage; reduced vulnerability surface area through proactive EOL software mitigation.
Education
UC San Diego
Bachelor's Degree, Computer Science
2003 — 2005
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