Startup Salary & Equity Database

Know your market value.
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5 submissions; add yours today

Title Salary Hide salary, order only Equity % Equity $ Hide equity, order only Location Total YOE Years at Startup Stage Size Valuation Date
Senior machine learning engineer $170,000 $170,000 0.14% $6,250 $6,250 Remote US 5.0 1.0 Series A 11-50 employees $4M 2023/02
Senior machine learning engineer $190,000 $190,000 1.0% $240,000 $240,000 Seattle 7.0 0.0 Seed 1-10 employees $24M 2023/01
Senior machine learning engineer $230,000 $230,000 0.1% $150,000 $150,000 Remote US 7.0 0.0 Series B 51-100 employees $150M 2023/01
Senior machine learning engineer $210,000 $210,000 0.6% - - Remote US 1.0 0.0 Seed 1-10 employees - 2022/08
Senior machine learning engineer $111,000 $111,000 0.033% $8,100 $8,100 Remote Canada 7.0 4.0 Seed 1-10 employees $25M 2022/04

Take 1 minute to add your comp - 100% anonymous ๐Ÿค

Combination of private submissions and private benchmarks. Exact submission date is listed under "Date" column. All submissions are vetted for accuracy.

It's your % ownership of the startup. Calculated one of two ways:
โ€ข Your total # of shares รท Fully diluted outstanding shares x 100 โ€” confirm that it's fully diluted; otherwise, your stake will look higher than it truly is
โ€ข Current value of your shares รท current company valuation x 100 โ€” value is based on preferred price (what investors paid); updates with each fundraise

Always make sure you have the numerator and the denominator.

Equity % helps you project what you stand to make. For example, if you have a 1% equity stake in a startup valued at $100M, which eventually IPOs at $1B, your stake will be worth 1% * $1B * dilution rate โ€” dilution rate varies, but a rule of thumb is to assume 10-25% per funding round. This means the earlier you join, the more diluted you'll become. But you'll also have a lower strike price and usually a much bigger % to start with.

TLDR: know your comp band, target a percentile in-line with how strongly the company needs your skillset, and counter based on what you care about most (salary, equity, bonus, benefits).

But every situation is different. If you'd like 1:1 support and guaranteed higher comp, we can help.