Outreach

AI in GTM at Notion — Flora Liu

Aug 26, 2026 · 21:15

Flora Liu, an engineer on Notion's GTM team, argues GTM is now a distributed systems problem, not marketing ops, and details how Notion built a unified decisioning system across self-serve and sales-assist. Workflows reduce to four questions — what do we know, what should happen next, how to execute safely, did it work — built as Know, Decide, Act, Learn layers. Snowflake computes the profile, DynamoDB serves it in milliseconds, and Notion is the substrate where humans and agents operate on the same context; signals become Temporal workflows. Agents research and draft, humans approve customer actions, and contact-sales forms are untrusted input. After 13 weeks, enterprise reps log more qualified opportunities, and context-aware recommendations made users 63% more likely to take next step.

GTM Engineering: The Technical Bits — Everett Berry, Clay

Aug 26, 2026 · 19:04

Everett Berry of Clay explains GTM engineering, the discipline of letting go-to-market teams ship as fast as engineering teams, by covering its hardest technical areas. Data first: accounts never hold still, so teams waterfall across hundreds of vendors—Forager alone yields half of phone numbers—and must run evals to trust providers. Orchestration is the second problem, a data engineering puzzle across 20–30 tools that sync behind your back; Clay's fix is a graph of general purpose nodes. Third are long-running agents, one per account, dormant until triggered, holding state across a deal cycle; human-agent interface is the hardest problem. Execution is the fourth: with cold email reply rates at 0.5–1%, reps spread domains, route replies home, and suppress channels when meetings book.