Jobiba Salary Intelligence
Cx Ai Strategy Manager salary
Salary range, market position, recent movement, location comparisons and matching live jobs—calculated from comparable Jobiba listings rather than copied salary tables.
Salary distribution
Where the market sits
$141,300
25th percentile
$159,669
Market median
$159,669
75th percentile
$138,060
Lower market
$141,300
25th percentile
$159,669
75th percentile
$159,669
Upper market
Market movement
Not enough historical evidence yet. Trend is shown only when both 90-day windows have enough comparable observations, preventing noisy “growth” claims from tiny samples.
Career growth explorer
Higher-paying roles to explore
These are same-currency market opportunities, not guaranteed promotions. Your private Career Coach narrows suggestions using your target role family, skills and profile.
Software Engineer
$196,000
median / year · 436 samples
Senior Software Engineer
$208,250
median / year · 230 samples
Product Manager
$227,500
median / year · 139 samples
Engineering Manager
$258,000
median / year · 116 samples
Senior Manager
$201,365
median / year · 85 samples
Data Scientist
$197,500
median / year · 66 samples
Senior Product Manager
$192,000
median / year · 66 samples
Machine Learning Engineer
$215,013
median / year · 64 samples
Live opportunity layer
Cx Ai Strategy Manager jobs
Manager, CX AI Strategy
New York, New York, United States
$141.9K – $177.4K/yr
Listed salary · employer/source provided
Manager, CX AI Strategy
Salt Lake City, Utah, United States
$125.6K – $157K/yr
Listed salary · employer/source provided
Manager, CX AI Strategy
Vancouver, British Columbia, Canada
$120.8K – $151K/yr
Listed salary · employer/source provided
Manager, CX AI Strategy
San Francisco, California, United States
$141.9K – $177.4K/yr
Listed salary · employer/source provided
Manager, CX AI Strategy
Seattle, Washington, United States
$141.9K – $177.4K/yr
Listed salary · employer/source provided
How Jobiba calculates this
Evidence first, estimate second
- • Uses recent active Jobiba listings that contain employer/source salary data.
- • Groups title variants through Jobiba's canonical salary-role taxonomy so current estimates and historical trends use the same comparable cohort.
- • Annualizes hourly, daily, weekly and monthly pay; no foreign-exchange conversion is used.
- • Uses percentile medians and publishes a range only after the minimum comparable sample is reached.
- • Labels inferred pay on salary pages/jobs as a Jobiba estimate, never as employer-provided compensation.
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