Build the agent architecture that turns enterprise context into reliable action. You will design agent loops, tool-use patterns, evaluation systems, and multi-agent coordination that work on ambiguous, high-stakes operational problems rather than controlled demos.
Echelon is building the AI platform for Business Operations. Our goal is to automate the knowledge work of BizOps so one exceptional operator can deliver the leverage of an entire team, as Ramp and Rippling have done for Finance and HR.
Our platform combines passive process mining with a living ontology that maps how work happens across people, systems, documents, decisions, and outcomes. It connects structured and unstructured data trapped in fragmented, duplicative, and legacy enterprise systems, then turns that context into automated workflows and AI agents.
We are an early-stage company tackling a difficult technical problem at high speed. Engineers work directly with founders and customers, make decisions with incomplete information, ship production systems, and own the results. The pace, rate of change, and standards are high.
Eloquent AISan Francisco
Pay not posted
Posted Aug 22, 2025
LeanDataSanta Clara
$160K–$200K / yr
Posted Jun 25, 2026
Eloquent AISan Francisco, California
$150K–$250K / yr
Posted Jul 24, 2025
checked 2 days agoClickUpUnited States
$200K–$250K / yr
Posted Jun 17, 2026
Pay not posted
Posted Oct 27, 2025
CobaltRemote
$275K–$300K / yr
Posted 19 days ago
Source: the Echelon Ashby job board. We last checked this job 7 h ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
No one has reported an interview at Echelon yet. Did you interview there? Add the questions.
This base pay is below the median for staff ML and AI engineering jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.