Blockchain Developer vs IT Manager: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Blockchain Developer
Build decentralised applications and smart contracts on blockchain.
IT Manager
Oversee IT department operations, staff, and technology strategy.
IT Manager earns more on average — the national median is $39,160/year (29%) higher than a Blockchain Developer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Blockchain Developer vs IT Manager — Salary by City
National median figures in USD across top cities.
| City | Blockchain Developer | IT Manager | Difference |
|---|---|---|---|
| San Francisco, CA | $192,216 | $260,907 | Blockchain $68,691 |
| New York, NY | $166,830 | $206,737 | Blockchain $39,907 |
| Seattle, WA | $197,295 | $253,469 | Blockchain $56,174 |
| Austin, TX | $148,358 | $194,345 | Blockchain $45,987 |
| Chicago, IL | $149,793 | $186,335 | Blockchain $36,542 |
| Boston, MA | $179,964 | $234,529 | Blockchain $54,565 |
| London, UK | £104,478 | £138,371 | Blockchain $33,893 |
| Toronto, Canada | CA$182,210 | CA$227,074 | Blockchain $44,864 |
Frequently Asked Questions
Does a Blockchain Developer or IT Manager earn more?+
A IT Manager earns more on average. The national median salary for a Blockchain Developer is $135,980/year, compared to $175,140/year for a IT Manager — a difference of $39,160 (29%).
Which has better career growth — Blockchain Developer or IT Manager?+
Blockchain Developer roles are growing at 30% YoY while IT Manager demand is growing at 10% YoY. Blockchain Developer has stronger near-term demand growth.
Can you switch from Blockchain Developer to IT Manager?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Blockchain Developer or IT Manager?+
IT Manager has a lower AI automation risk (30% vs 30%). Based on Oxford Martin School and McKinsey 2023 analysis.