+83%

est. 2Y upside i

AI & MLSeries C

Mercor’s platform relies on advanced algorithms to sift through countless profiles, conduct personalized interviews, and match candidates with the right job opportunities, aiming to cut down on the bias and inefficiencies that plague traditional hiring methods.

Rank

#621

Sector

AI Infrastructure / Talent Marketplace

Est. Liquidity

~3Y

Data Quality

Data: Medium

One of the most capital-efficient private companies at scale. $500M ARR, profitable, 4.9% funding intensity, Mag-7 validation. 20x ARR aggressive for 35% margin marketplace but growth trajectory justifies.

Last updated: March 21, 2026

Bull (40%)+200%

AI training spend expands; Mercor becomes default talent layer; $2B+ rev; $35-40B.

Base (45%)+70%

Holds Mag-7 customers; $900M-1B rev; IPO at $16-18B.

Bear (15%)-30%

AI lab spend plateaus; customers insource; flat round $7-8B.

Est. time to liquidity~3.0 years

Preference Stack Risk

low

Funding Intensity

5%

$492M on $10B (4.9%) — employees participate in almost any positive exit.

Dilution Risk

low

Profitable; future dilutive rounds unlikely.

Secondary Liquidity

limited

Profile makes tender offers plausible within 12-18 months.

Engineering — 24 roles

Operations — 8 roles

View all 32 open roles at Mercor →

Last updated: March 10, 2026

Questions to Ask at the Interview

Strategic questions based on Mercor's data — designed to show you've done your homework.

  • 1

    “Revenue concentration across top 5 customers?”

  • 2

    “Scale AI competitive defense?”

  • 3

    “Secondary market or tender offer planned?”

Community

Valuation Sentiment

Our model estimates +83% upside. What do you think?

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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.