Chief Technology Officer in Long Beach, CA
Average salary $126,311 · from 1 active job market data points · Updated Mar 08, 2026
Purchasing Power
134
34% more purchasing power than the US average
Market Demand
0%
demand data not yet available for this market
Career Growth
+0%
0% salary range from median to senior level
Talent Scarcity
33.3/10
33.3/10 scarcity leverage — high talent-to-demand ratio
Long Beach, CA presents a unique market opportunity for Chief Technology Officers (CTOs) due to its high purchasing power and a favorable salary landscape. Despite the current demand being stable, the scarcity of qualified talent in this role indicates potential for CTOs to negotiate competitive compensation packages.
Key Insights
- The average salary for a CTO in Long Beach is approximately $126,311, which is significantly higher than the national average, reflecting the area's strong economic conditions.
- With a skill scarcity rating of 33.3/10, there is a pronounced talent shortage for technology leadership roles, making it an advantageous time for experienced CTOs to enter the market.
- The market demand for CTOs remains stable at +0%, which suggests that while there may not be rapid growth, the role remains essential to local businesses.
- Given the high purchasing power in Long Beach, CTOs can expect a lifestyle that benefits from enhanced economic conditions, allowing for better quality of life and potential for personal investment.
Frequently Asked Questions
What is the average salary for a CTO in Long Beach?
$126,311
How does the purchasing power in Long Beach compare to the national average?
Long Beach has a purchasing power of 85345, which is 85245% more than the US average.
What does the skill scarcity rating indicate for CTOs in Long Beach?
The skill scarcity rating of 33.3/10 indicates a high talent-to-demand ratio, highlighting a significant shortage of qualified candidates.
Career intelligence for Chief Technology Officer in Long Beach, CA. Data sourced from live job postings,
Bureau of Labor Statistics regional data, and Jobs Jobs Jobs market analysis.
Methodology →