The median salary across the prediction markets industry is $175,000, according to data compiled by PredictionJobs. That’s well ahead of the average U.S. paycheck, but the real question for anyone thinking about a move into the space is how prediction market pay compares to tech and finance, the two industries most likely to be pulling from the same talent pool. Here’s what the numbers actually show.
How Much Do Prediction Markets Pay?
Engineering is the highest-paying field in prediction markets, averaging $191,250, just ahead of Quant & Trading at $182,000 and Legal & Compliance at $178,000. Product, Marketing & Growth, Design, and Operations round out the list, with Operations the lowest at $115,000.
Pay also varies by company. Novig tops the list at $190,000, followed by Kalshi at $175,000 and Polymarket at $170,000. Rothera Markets and Fanatics Markets pay $150,000 to $155,000, putting roughly $40,000 between the highest and lowest payers on this list.
Prediction Market Salaries vs Tech, Finance & Crypto
Against Big Tech, prediction markets hold up better than you might expect. Levels.fyi puts national median total compensation for software engineers at large tech companies around $192,000, almost identical to prediction market engineering pay. Big Tech pulls ahead at the senior end, though: staff and principal engineers at Google or Meta routinely clear $400,000 to $600,000+ once refreshed equity is factored in, a level prediction market pay hasn’t reached yet.
The gap is bigger against quant and traditional finance. Entry-level quant researchers at firms like Jane Street, Citadel, or Two Sigma commonly start at $200,000 to $300,000+ once guaranteed bonuses are included, and senior researchers regularly cross into seven figures. Even prediction markets’ best-paid role, Quant & Trading at $182,000, sits below where quant finance starts.
Crypto and Web3 fall somewhere in between. The average Web3 developer salary sits around $145,000, below the prediction market median, while senior or specialized roles like ZK research and protocol engineering can reach $300,000 to $500,000+. Put another way: on prediction market salaries vs tech and finance, prediction markets beat crypto’s average, roughly match Big Tech’s median, and still trail quant finance across the board.
Base, Bonus, and Equity: Comparing Total Compensation
Salary alone doesn’t capture how these industries actually pay people. At quant hedge funds, bonuses typically make up 40% to 70% of total pay, and pod-based funds like Millennium or Citadel hand traders a direct cut of the P&L they generate, an upside structure prediction markets don’t currently offer. Crypto works similarly: token grants often add 30% to 50% on top of base salary at well-funded protocols, though that upside is volatile and can vanish if token prices drop. Big Tech leans on RSUs, which is why total comp at senior levels can run double or triple base salary.
The PredictionJobs figures, by contrast, are largely base or cash pay, and few prediction market companies currently offer meaningful equity or token upside. So prediction market salaries versus finance look closer at the median than they do once bonuses, P&L shares, and equity get added in. For top performers, the real gap is bigger than base pay alone suggests.
Conclusion
Prediction markets pay competitively at the median: they roughly match Big Tech and beat the average Web3 salary, with engineering and quant roles leading the way internally. Where they fall short is at the top: senior quant researchers, staff engineers, and crypto specialists can out-earn their prediction market counterparts several times over once bonuses, P&L shares, and equity enter the picture.
That gap will likely close some as the industry grows up. Prediction market companies are still young compared to Wall Street or FAANG, and pay structures tend to catch up once a sector raises more money and starts competing harder for the same people.
