City salaries
Fresno, CA
Salary bands for the professions we track in Fresno, CA, with their AI automation risk.
16 professions
Professions in Fresno, CA
- Software Engineer$104,270Medium · n=41
- Retail Salesperson$37,206Medium · n=30
- Warehouse Worker$43,680Critical · n=27
- Fast Food and Counter Worker$44,970High · n=25
- Nurse$114,608Low · n=24
- Driver$49,920High · n=22
- Retail Cashier$39,416Critical · n=20
- General and Operations Manager$75,000Medium · n=19
- Customer Service Representative$36,608High · n=18
- Industrial Production Manager$90,000Medium · n=18
- Stocker and Order Filler$41,600Medium · n=17
- Dishwasher$36,608Critical · n=15
- Computer Systems Analyst$87,738Critical · n=12
- Receptionist$45,760Critical · n=11
- Data Analyst$67,483High · n=10
- Data Scientist$67,483Medium · n=10
Live demand · September 7, 2026
What Fresno, CA is hiring right now
AI risk of jobs being hired in Fresno, CA:67.5/100HighNational average: 62.9/100
Collected weekly through our own intake pipeline across live job postings; normalised index, not absolute counts.
Most in-demand professions in Fresno, CA
Share of unique tracked postings in the latest sampled week · September 7, 2026
- 1Retail SalespersonMedium8 unique postings21.1% of tracked postings
- 2ReceptionistCritical5 unique postings13.2% of tracked postings
- 3Retail CashierCritical4 unique postings10.5% of tracked postings
- 4Warehouse WorkerCritical4 unique postings10.5% of tracked postings
- 5Administrative AssistantCritical3 unique postings7.9% of tracked postings
- 6Stocker and Order FillerMedium3 unique postings7.9% of tracked postings
- 7Customer Service RepresentativeHigh2 unique postings5.3% of tracked postings
- 8Fast Food and Counter WorkerHigh2 unique postings5.3% of tracked postings
- 9TelemarketerCritical1 unique postings2.6% of tracked postings
- 10DishwasherCritical1 unique postings2.6% of tracked postings
Unique job postings sampled from public job boards and ATS boards (Greenhouse/Lever/Ashby), week of September 7, 2026. n = 386. Not a census of the market — see methodology. See methodology
About this data
Sample of US job postings across the stratified city roster (10 metros, weekly) + public ATS boards (Greenhouse/Lever/Ashby, tech-skewed). Only roster cities are published; opportunistic ATS locations are excluded. Share denominator = unique postings of the week mapped to tracked professions; postings without a SOC mapping are excluded. Dedup by (source, source_job_id). n = unique postings per week (provenance, not a market census). A SOC shared by two professions (e.g. paralegal/legal-assistant) appears in both. LLM signals are never a data source — classification is cache-first parsing (ADR-007).