Michael Grinich is a design-obsessed engineer who once spent days in a recording studio with an electronic musician crafting the perfect email notification sound. He now runs WorkOS, the $50M (accelerating) ARR enterprise infrastructure business powering nearly every major AI company you can think of, OpenAI, xAI, Anthropic, Sierra, Cursor. Michael has scaled the seven-year-old company to 100 people with no CRO, no VP of sales, and just three sales reps. In an industry where most CEOs default to hiring more executives, Michael runs WorkOS with senior ICs and a weekly operating cycle. In this episode, he unpacks the philosophy behind it all.
We also discuss:
Why a great startup idea has to look bad first
Why Michael subscribes to “Minimum awesome product” over MVP
Micro-leadership over micromanagement
How to “AI pill” your team
Why senior engineers are the most impactful with AI
The reverse Peter principle
Referenced:
Model Context Protocol (MCP)
Where to find Michael Grinich:
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Timestamps:
00:00 Introduction
01:33 From design-obsessed founder to enterprise infrastructure
04:20 Michael’s year off and what made the WorkOS bet obvious
06:54 Why a great startup idea has to look bad first
09:46 Minimum awesome product beats MVP
11:09 The org with no CRO, no VP of sales, and one PM
13:29 Hiring for curiosity, not credentials
16:25 The “AI pilled” interview red flag
18:25 A week is 2% of the year
26:00 How WorkOS approaches brand
33:00 The future shape of engineering orgs
43:20 Why senior engineers benefit most from AI
44:45 Micro-leadership over micromanagement
49:10 Tough times in the early days
59:04 The reverse Peter principle
1:04:38 Quickfire: red flags, hires too early, and biggest fears
1:10:30 Michael’s advice to his 25-year-old self
