by Cristel Baste
Episode #232: Andrew Mok — What the CMO job becomes when AI runs the mechanics
HeyGen doubled to $200M ARR in eight months, is cash-flow breakeven, and runs on about 130 people. Its CMO explains how marketing actually operates there.
For marketing leaders deciding what to keep, what to cut, and what to hand to an agent.
Andrew Mok spent 12 years at Turo building a category nobody believed in, then joined HeyGen as CMO four months ago in the middle of its fastest growth stretch. He walks through the operating details: a verticalized stack that runs inference 10x cheaper than general video models, 100 to 200 customer interviews a week piped into an internal MCP that any employee can query, and a personal agent named Mara (marketing automation and research agent) that hands him a metrics digest on his drive into the office. He’s also blunt about the parts most people won’t say out loud — that job replacement is real, and that it will come mostly from lean AI-native companies growing into big ones, not from big companies running layoffs. He does three to five customer interviews a week himself, and that’s the metric he checks every week.
WHAT YOU’LL HEAR
– The three Cs he runs on — customers, company fundamentals, culture — and how customer voice became infrastructure instead of a slide: 100–200 interviews a week, curated by agents, queryable for pain points, churn reasons, and competitor chatter.
– How Mara actually gets used: metrics digests over voice in the car, deep dives before he reaches the office, and why documents and decks went from a multi-week exercise to 30 seconds.
– What was slowing the company down: leading with technical capability instead of the human problem, which works on AI enthusiasts and stalls with the mainstream. Plus how Turo handled its worst crisis — the New Year’s terror attacks — by putting everything in the open instead of covering it.
– Jevons paradox applied to video: lower the price and friction, and quantity goes up. HeyGen’s five-person internal video team produces roughly 100x more video than a company not using AI tools, and it’s the biggest video team Andrew has ever run.
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