Jobiba Salary Intelligence
Lead Remote Remote Software Engineer Database Engineering Manager salary in Ca
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
$294,163
25th percentile
$304,321
Market median
$345,040
75th percentile
$191,800
Lower market
$294,163
25th percentile
$345,040
75th percentile
$2M
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.
Location intelligence
Compare Lead Remote Remote Software Engineer Database Engineering Manager pay by market
Currencies are never blended or silently converted
Live opportunity layer
Lead Remote Remote Software Engineer Database Engineering Manager jobs in Ca
Engineering Manager, International
Toronto, Canada
From C$1.5K/yr
Listed salary · employer/source provided
Engineering Manager, Growth
San Francisco, California, United States
$220K – $450K/yr
Listed salary · employer/source provided
Manager, GTM Engineering (Automation & AI)
Toronto, Canada
From C$132K/yr
Listed salary · employer/source provided
⚙️ Engineering Manager
San Francisco, California, USA
$240K – $280K/yr
Listed salary · employer/source provided
Manager, AI Engineering - Analytics
San Francisco, California, United States
$197.8K – $267.6K/yr
Listed salary · employer/source provided
Manager, Security Engineering
San Francisco, California, United States
£225K – £325K/yr
Listed salary · employer/source provided
Engineering Manager, Machine Learning
San Francisco, California, United States
$220K – $450K/yr
Listed salary · employer/source provided
Engineering Manager, Events Analytics Platform
San Francisco, California, United States
$220K – $450K/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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