Jobs posted in Austin in past ~24h

Recent Jobs in Austin, TX

Here are 30 jobs posted found by corvi search. You can find more updated in real time at corvi search for Austin, TX. For flexible schedules, browse part time jobs in Austin, TX. Corvi Careers is not affiliated with the companies listed here. We found these postings on public web pages; verify the role, employer, and application site before applying.

reddit.com
u/jobswithgptcom — 1 month ago

Jobs found for Chicago posted in past 24h

Here are ~20 jobs posted found by corvi search. You can find more updated in real time at corvi search for Chicago, IL.

We aren't affiliated to these sites and are found on internet. Please double check before applying.

reddit.com
u/jobswithgptcom — 1 month ago

Jobs in Austin posted in past 24h

Here are 20 jobs posted found by corvi search. You can find more updated in real time at corvi search for Austin, TX. You can also check salaries in Austin.

We aren't affiliated with these postings and these are found via web search, so please double check original listing before application.

reddit.com
u/jobswithgptcom — 1 month ago
▲ 42 r/MarketingJobs+4 crossposts

U.S. Salary Explorer by Category, State, Metro, and Salary Range

I made this tool to help people looking to change careers to get an understanding of market pay - hope it helps!

corvi.careers
u/jobswithgptcom — 31 minutes ago

Current trends in base salaries across various SWE categories (U.S.)

I recently built a tool to explore base salaries in US advertised on job postings, here is a summary from about 20k samples overall. I have used BLS RPP data to adjust for cost of living.

The broad Software Engineering family has a median of about $150.8k nominal, or $141.7k cost-adjusted. The p95 is roughly $258.0k nominal, which gives a sense of the upper end for posted salary ranges.

The highest-paying SWE adjacent track is Machine Learning & AI, with a median around $200.2k nominal / $191.9k adjusted, and a p95 of about $337.1k nominal / $317.7k adjusted.

Engineering leadership (mostly EMs, Sr. EMs) is close behind: software-engineering-leadership has a median around $198.8k nominal / $187.6k adjusted, with p95 around $309.4k nominal / $290.6k adjusted.

Backend roles also show strong upside. backend-software-engineering comes in at about $196.8k median nominal / $183.5k adjusted, with p95 around $323.7k nominal / $303.3k adjusted. The broader backend-engineer bucket is similar: $190.2k median nominal / $178.4k adjusted, with p95 around $300.0k nominal / $278.0k adjusted.

Frontend and full-stack are a little lower but still strong. frontend-software-engineering has a median around $182.5k nominal / $169.3k adjusted, with p95 around $270.0k nominal / $249.2k adjusted. full-stack-software-engineering is around $176.8k nominal / $167.0k adjusted, with p95 near $268.9k nominal / $252.9k adjusted.

Data engineering and infrastructure is one of the bigger categories by volume. Median pay is about $175.0k nominal / $166.8k adjusted, and p95 is around $292.5k nominal / $278.0k adjusted.

DevOps/SRE is mixed. The overall DevOps & SRE family has a median around $170.0k nominal / $158.8k adjusted, with p95 around $277.6k nominal. The site-reliability-engineering leaf is slightly higher at about $180.0k nominal / $167.6k adjusted, with p95 around $289.2k nominal / $280.0k adjusted.

Geographically, the Bay Area still dominates the software engineering sample: 3,482 Software Engineering samples, median around $196.8k nominal / $177.7k adjusted. New York Metro follows with 1,961 samples, around $180.5k nominal / $167.3k adjusted. Seattle is next among major tech metros at about $167.2k nominal / $156.2k adjusted.

Main takeaway: ML/AI, leadership, backend, and data infrastructure have the strongest salary upside. General SWE is respectable, but the p95 numbers show that specialization and seniority matter a lot once you get into the upper end of posted ranges.

reddit.com
u/jobswithgptcom — 2 months ago
▲ 3 r/Salary+1 crossposts

U.S. Salary Explorer based on job postings

You can interact with it salary explorer to see how they vary across categories and states, and also see effect of cost of living adjustments.

u/jobswithgptcom — 2 months ago

Anyone can say they are a “strong communicator,” “team player,” or “problem solver.” Those phrases are so common that they barely register.

Instead, turn the soft skill into evidence:

Weak:

> Strong communicator and collaborative team player.

Better:

> Coordinated weekly checkins between staff, vendors, and management to keep a project on schedule.

Weak:

> Excellent problem solving skills.

Better:

> Identified the cause of repeated scheduling conflicts and created a new process that reduced last minute changes.

Weak:

> Great leadership skills.

Better:

> Trained new employees on daily procedures and helped them become independent in their first month.

reddit.com
u/jobswithgptcom — 2 months ago