Salaries · OpenAI · Mid
OpenAI Mid FDE salary
OpenAI mid-level Forward Deployed / Applied seats sit in the lower half of the widely discussed $350K–$550K+ band. Expect enterprise GPT/agent delivery, eval discipline, and customer scoping — with equity that is not cash-equivalent on vest.
Figures are directional public aggregates — not official OpenAI offers. Equity markets, location, and refreshers move outcomes.
Compensation snapshot
| Signal | Cited figure |
|---|---|
| Level | Mid / L5-ish |
| Base (cited) | $220K–$250K |
| TC range | $350K–$465K |
| Directional median | $420K |
| Equity | PPU / paper-style equity often dominates headline TC — apply a liquidity haircut when comparing to public RSUs. |
Model multi-year packages with the comp calculator. Negotiate with the equity negotiation guide.
What Mid usually means
- Land thin vertical slices in enterprise accounts under identity and data constraints
- Design eval gates for quality, latency, cost, and safety before wider rollout
- Own tool-calling agents with least privilege and human gates
- Communicate risk clearly to sophisticated buyers without overclaiming models
Negotiation notes
- Separate cash floor from PPU face value before negotiating a single TC number
- Ask about refreshers, liquidity path, and leveling rationale explicitly
- Model 25–40% liquidity haircuts in the comp calculator for paper/PPU offers
- Compare against Anthropic and public-platform FDE seats at similar scope — not Blind outliers alone
Interview prep
Company loop: OpenAI FDE interview guide. Drills: decomp, simulator, 7-day week plan.
FAQ
What is OpenAI mid-level FDE salary?
Public discussions of mid-level OpenAI FDE / Applied packages often fall between roughly $350K and $465K total compensation, with directional medians near the low–mid $400Ks depending on equity assumptions.
Are OpenAI FDE packages mostly cash?
No. Headline TC is often equity-heavy with PPU or paper-style units. Liquidity and refreshers matter as much as grant face value.