DeepRec.ai Equity Guide
The AI Startup Equity Guide
Equity benchmarks for AI engineers, machine learning researchers, robotics specialists, founding technical hires, CTOs, Heads of AI and senior technical leaders across Pre-Seed, Seed, Series A, Series B and Series C+ companies.
Why Equity Matters in AI Hiring
Artificial intelligence has changed how startups compete for technical talent. While salary is still an important part of any compensation package, equity has become one of the most valuable tools for attracting the engineers, researchers and technical leaders responsible for building a company’s core technology.
Unlike many traditional software businesses, AI startups often depend on a relatively small number of highly specialised people to create their competitive advantage. Whether it is foundation models, robotics systems, computer vision platforms or machine learning infrastructure, these hires frequently shape the intellectual property that determines long-term value.
This guide combines DeepRec.ai’s experience advising AI professionals with market benchmark data to help candidates understand what competitive equity looks like across today’s AI startup ecosystem.
Understanding Startup Equity
Startup equity gives employees the opportunity to own a small share of the business they are helping to build. Rather than receiving compensation entirely as salary, employees are granted stock options or shares that may increase in value as the company grows.
In early-stage startups, equity often forms a significant part of the overall compensation package because cash is limited. As companies mature and raise additional investment, salaries generally become more competitive while equity percentages become smaller.
The value of any equity package depends on far more than the headline percentage. Company valuation, future funding, vesting schedules, dilution and exit opportunities all influence its eventual worth.
AI Startup Equity Benchmarks by Funding Stage
Use these ranges as a practical calibration point. Earlier companies usually offer larger percentages because risk is higher. Later-stage companies usually offer smaller percentages, but those grants may carry higher paper value.
Pre Seed
2 to 10 people, high risk, little or no product-market fit.
Senior IC: 0.25% to 1.0%
Founding AI builder: 1.0% to 3.0%+
Head / VP / Exec: 2.0% to 5.0%+
Seed
5 to 25 people, funded, with early traction.
Senior IC: 0.15% to 0.75%
Founding AI builder: 0.5% to 2.0%
Head / VP / Exec: 1.0% to 3.0%
Series A
20 to 75 people, scaling team and product.
Senior IC: 0.05% to 0.35%
Founding AI builder: 0.15% to 0.75%
Head / VP / Exec: 0.5% to 1.5%
Series B
50 to 150 people, repeatable GTM and product scale.
Senior IC: 0.02% to 0.15%
Founding AI builder: 0.05% to 0.35%
Head / VP / Exec: 0.3% to 1.2%
Series C+
Later stage, higher valuation and more structure.
Senior IC: 0.005% to 0.08%
Founding AI builder: 0.02% to 0.15%
Head / VP / Exec: 0.1% to 0.6%
The earlier the company, the bigger the percentage. The later the company, the smaller the percentage, but often the higher the paper value.
How Equity Changes as Startups Grow
One of the biggest misconceptions candidates have is assuming that a larger equity percentage always represents a better offer. In reality, equity should always be viewed alongside company stage and valuation. A 1% grant at a Pre Seed company may become worth less than a 0.1% grant at a later-stage business with significant revenue, established customers and a much higher valuation.
Pre Seed
Teams are small, cash is often limited, and every technical hire can have a major influence on the company’s direction. Candidates building core AI capabilities can command larger grants.
Seed
The company has initial funding and early traction. Hiring begins to accelerate, but equity is still a major lever for attracting experienced AI talent.
Series A
Companies are usually investing in product, hiring and growth. Equity percentages fall, but grants can still represent meaningful long-term value.
Series B+
Later-stage businesses usually offer stronger salaries and lower ownership percentages, with reduced risk and higher potential paper value.
Role-Level Equity Benchmarks
Founding Engineer
For a genuine first engineering hire, especially where salary is below market, 1% to 2%+ should not surprise clients.
Pre-Seed: 1.0% to 2.5%
Seed: 0.5% to 1.5%
Series A: 0.15% to 0.5%
Series B: 0.05% to 0.2%
Founding AI / ML Engineer
AI-native technical hires often sit above older software benchmarks, particularly when building core IP.
Pre-Seed: 1.5% to 3.0%+
Seed: 0.75% to 2.0%
Series A: 0.2% to 0.75%
Series B: 0.05% to 0.35%
Head of AI / Head of ML
If the person is building the technical moat, they should be treated closer to CTO or VP Engineering equity.
Pre-Seed: 2.0% to 5.0%
Seed: 1.0% to 3.0%
Series A: 0.5% to 1.25%
Series B+: 0.1% to 0.8%
Hired CTO
A hired CTO is not automatically a co-founder, but early-stage offers may still need to feel co-founder-like.
Pre-Seed: 3.0% to 8.0%
Seed: 1.5% to 4.0%
Series A: 0.8% to 1.5%
Series C+: 0.3% to 0.8%
VP Engineering / VP AI
VP-level AI, product and engineering roles usually sit toward the upper end when they own technical direction and team scale.
Seed: 0.75% to 2.0%
Series A: 0.3% to 0.8%
Series B: 0.2% to 0.7%
Series C+: 0.1% to 0.4%
Principal / Staff AI Engineer
For senior non-exec technical hires, grants are heavily shaped by company stage, salary and proximity to the core technology.
Seed: 0.25% to 1.0%
Series A: 0.1% to 0.4%
Series B: 0.03% to 0.2%
Series C+: 0.01% to 0.1%
Why AI Engineers Often Receive More Equity
Unlike many software businesses, AI companies frequently depend on proprietary models, data pipelines, infrastructure and research to separate themselves from competitors.
Candidates who build these systems are often contributing directly to company value rather than simply delivering product features. This has created upward pressure on both salary and equity for experienced AI engineers, machine learning researchers, robotics specialists and technical leaders.
How to Benchmark an Equity Offer
When reviewing an offer, avoid focusing exclusively on the equity percentage. The strongest candidates assess the full package, including salary, stage, valuation, vesting and the role they will play in building the company’s core technology.
What Strong AI Candidates Should Look For
Vesting
Understand the vesting schedule, cliff period and what happens if you leave before a liquidity event.
Dilution
A strong percentage today can reduce after future funding rounds. Ask how dilution is expected to affect your grant.
Exercise Window
Check how long you have to exercise options after leaving the company.
Paper Value
A smaller percentage at a later stage can still hold higher paper value than a larger early-stage grant.
Common Equity Mistakes Candidates Make
Even experienced professionals can misunderstand startup equity. The strongest candidates evaluate the entire compensation package rather than any single figure in isolation.
- Comparing percentages without considering company valuation.
- Ignoring the impact of future dilution.
- Not understanding vesting schedules.
- Focusing entirely on salary.
- Assuming every option grant has the same long-term potential.
Frequently Asked Questions
Is 1% equity in an AI startup good?
It depends on the company’s funding stage and your role. A founding AI engineer joining a Pre-Seed business may reasonably expect around 1% or more, whereas the same percentage at Series B would generally be considered exceptionally generous.
Why do AI engineers receive more equity?
AI engineers often build the models, infrastructure and technical capabilities that define a company’s competitive advantage. Businesses frequently reward this contribution with larger equity grants than equivalent software engineering positions.
Should I negotiate equity?
For many senior technical roles, equity is an important part of the overall compensation package. Candidates should understand market benchmarks before negotiating so they can assess the balance between salary, ownership and long-term opportunity.
Is a larger equity percentage always better?
Not necessarily. Equity should always be considered alongside company valuation, funding stage and future growth potential. Smaller percentages in later-stage companies can represent significantly higher value than larger grants at very early-stage startups.
Unsure Whether Your Equity Offer Is Competitive?
Every week, DeepRec.ai advises AI engineers, machine learning researchers, robotics specialists, CTOs and technical leaders on compensation packages across venture-backed AI companies.
Whether you are evaluating a new opportunity or preparing to negotiate an offer, our team can help you understand how your package compares with the current market.
Benchmark your AI startup equity offer