Jeff Lee doesn't just build marketing campaigns. He engineers lifecycle systems that quietly power billions of customer interactions. As the lifecycle marketing technical lead at Calm, Jeff runs a team of four, shipping 240+ distinct email campaigns a year and moving data across Databricks, Iterable, and Amplitude with precision most teams can't match.

In this conversation, he makes the case for marketing engineering as a distinct discipline, sitting between data engineering, product, and marketing to solve problems no one else owns. We dig into the "Sorting Hat" automation that prioritizes message delivery at scale, why he'd never build an ESP in-house again, the downstream cost of a three-line code bug that tanked opt-ins by 60%, and why attribution, personalization, and end-to-end lifecycle orchestration depend on engineers who think like marketers and marketers who think like systems architects.

Timestamps

05:12 — The three-line code bug that killed 60% of email opt-ins overnight

22:03 — Inside the "Sorting Hat": How Calm prioritizes lifecycle messaging without global caps

31:47 — Why cutting your martech budget by 50% should start with list hygiene, not tools

37:14 — Jeff's dream stack and why CDPs are overrated

46:16 — Where AI breaks in lifecycle marketing

52:26 — Making "marketing engineer" a real job title

Sponsor

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