OpenAI vs Cognition
The same job in two risk profiles: OpenAI's FDE seats print $185K–$550K bands and a frontier-lab brand, while Cognition's Deployed Engineers — a dozen-plus seats around Devin — list almost no cash figures, with the one federal seat at $95K–$132K base.
| OpenAI | Cognition | |
|---|---|---|
| Open roles | 8 | 2 |
| Comp on board | $350K–$550K TC · $185K–$300K base + equity · $302K–$385K + equity | $95K–$132K (base) |
| FDE type | True forward-deployed | True forward-deployed |
| Travel | High | High |
| Comp | Top of market | Equity-heavy |
| Stage | Frontier lab | Late-stage |
| Our take | The highest-ceiling FDE seat in the industry — and one of the newest. | The clearest proof that even the autonomous-coding leader still needs humans for the last mile — and it pays mostly in equity. |
Bottom line
OpenAI is the cash-and-credential play: visible bands, vertical seats (legal, healthcare) and a management ladder. Cognition is the ground-floor equity bet: broader global footprint, more scope per head, far less certainty on the number. Take OpenAI if you need comp you can plan around; take Cognition if you'd trade base for upside and a role still being defined, and make them show you the equity math first.
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