Builds computer-use AI models, agents, and deployment infrastructure so enterprises can automate workflows across web, desktop, and legacy software without relying on APIs.
Early (pre-seed–Series A) · About 51–200 people · Enterprise agentic AI / computer-use models
6 postings, 2 new in the last 30 days3 metros
Updated
Postings read on
H Company · US average
Travel
How often postings mention travel
100% · avg 41%
Well above average
Production code
Postings that involve writing production code
50% · avg 80%
Well below average
Remote
Postings that allow remote work
0% · avg 28%
Well below average
Customer contact
Work done for people outside the company
100% · avg 86%
Above average
Pre-sales
Evaluation or proposal work before a deal
33% · avg 25%
Above average
Seniority
Senior-level responsibility or above
100% · avg 94%
Above average
0%50%100%
H Company’s postings mention travel far more often than the US average (100% vs 41%) and describe production code far less often (50% vs 80%).
Shares leave out postings that say nothing about a measure. Travel counts silence as no mention. Compare with all US FDE postings and read the method →
San Francisco, CA · Austin, TX · +1 more +1San Francisco, CA +3Hybrid
Pay not posted
Plans what the customer deploys first
San Francisco, CA · New York, NY · +1 moreSan Francisco, CA +2Hybrid
Pay not posted
3 of 6 build what the customer runs.
Compare these roles with pay ranges at other US FDE employers.
Employer postings · How we read postings
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