Archie Sharma
COO at Zencoder
South San Francisco, California, United States
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Archie Sharma is a builder and operator with two decades of experience scaling AI, SaaS, CRM, and digital businesses from zero to multi-billion-dollar outcomes. He currently serves as Chief Operating Officer at Zencoder, where he helps engineering teams ship software faster using AI coding agents built for real-world codebases.
Previously, Archie was COO at HappyFox and SVP of Business, Corporate Development & GM at Wrike, where he drove 3× ARR growth leading up to Wrike’s $2.25B acquisition by Citrix. Earlier in his career, he helped triple revenue at OpenX and ran Global Operations as VP at HubSpot during its formative scale-up years.
Archie began his career in deep tech, publishing two U.S. patents in signal processing at Western Digital, before going on to lead revenue and operations teams across five continents. He has founded two SaaS startups and has been featured in Forbes, Business Insider, BBC Capital, and AdExchanger.
On stage, Archie speaks candidly about scaling companies, building durable go-to-market systems, and what it really takes to turn emerging technologies—especially AI—into compounding execution advantages.
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Autonomy Without a Spec Is Just Hope With a GPU Bill
Everyone is letting AI agents “run” now. Most of them are drifting.
After two decades scaling SaaS and now building AI coding agents used on real enterprise codebases, I’ve learned a hard truth: autonomy without structure fails—expensively.
In this talk, I’ll break down:
- Why prompt-driven AI collapses the moment you have shared repos
- The difference between looping and orchestrating agents
- Why specs, verification, and context—not bigger models—are the real unlock
- How teams move from AI copilots to AI coworkers without losing trust or control
This is a practical, engineering-first look at what actually works when AI touches production code.
Building Human Centric AI
At the heart of responsible AI lies the principle that AI should enhance human capabilities rather than replace them. This is where the concept of AI agents comes into play. This session will explore how to build agents as intelligent collaborators that solve problems, automate routine tasks and assist in problem solving.
Archie Sharma
COO at Zencoder
South San Francisco, California, United States
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