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SALARY TIER

$400k+ Jobs

220 premium opportunities in this range. Filter by role, location, and work type β€” verified salaries only.

220
Total jobs in tier
$394k
Average salary (USD)
Palo Alto Β· US
Top paying city
Machine Learning Engineer
Top paying role
Top rolesBy job count
Other
178 jobs
Software Engineer
11 jobs
Machine Learning Engineer
6 jobs
Account Executive
4 jobs
Senior Software Engineer
2 jobs
GeographyShare of jobs by country
US27%
CA14%
Other59%
Salary trendLast 21 days (avg)
Not enough data to chart a trend yet.
Range: —–— (USD)

$400k+ jobs on Six Figure Jobs include 220 verified roles across engineering, product, data, design, and sales. Average salary: $394k USD. Every listing shows the salary range upfront β€” sourced directly from company ATS feeds. Filter by role, location, or work type to find the right fit.

Showing page 1 of 10 β€’ 220 total β€’ Updated 2 days ago
Canva logo
Canva

Head of Data - Finance

$274k - $417k
Verified salary
πŸ‡ΊπŸ‡Έ San Francisco, USOnsiteLeadApply by Sep 19
Posted 7 days ago
NEW
Anthropic logo
Anthropic

Silicon Engineer

$320k - $485k
Verified salary
San Francisco +3Apply by Sep 24
Posted 2 days ago

Frequently Asked Questions

What kinds of jobs are in the $400k+ salary tier?
The $400k+ salary tier on Six Figure Jobs includes 220 verified roles across engineering, product, data, design, and sales β€” all with published salary ranges. Top roles in this tier include software engineers, engineering managers, data scientists, and senior product managers.
How often are $400k+ job listings updated?
Listings in the $400k+ tier are refreshed continuously from company ATS feeds and verified job boards. Each listing shows a direct apply link and salary data sourced from the employer β€” no estimated or scraped ranges.
Are there remote $400k+ jobs available?
Yes. Many $400k+ roles on Six Figure Jobs offer fully remote or hybrid arrangements. Use the work type filter to narrow results to distributed-friendly positions. Remote $400k+ roles span engineering, product, and data teams at companies of all sizes.