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Glean — hiring & reviews

Work AI & enterprise search

Glean hires for AI and machine learning roles in the United States — Work AI & enterprise search. Glean builds enterprise AI assistants and search across SaaS tools. Engineering hubs in Palo Alto and Seattle with strong LLM and retrieval hiring. Active listings in Seattle, San Francisco. 2 open roles · candidate rating 4.5/5 (280 reviews).

4.5 · 280 candidate reviews Palo Alto, CA 500-1000 employees Founded 2019 glean.com
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About Glean

Glean builds enterprise AI assistants and search across SaaS tools. Engineering hubs in Palo Alto and Seattle with strong LLM and retrieval hiring.

Glean operates in Enterprise AI, founded 2019, HQ Palo Alto, CA (500-1000 employees). Key stack: Python, TypeScript, LLM, RAG, Kubernetes. The company currently lists 2 AI roles on Ganloss: LLM Engineer — Enterprise Search, LLM Engineer.

Glean has 2 open AI roles on Ganloss (2 Full-time). Breakdown: 2 Hybrid. Median listed salary: $195,000/year. 48 total applications received.

AI hiring at Glean

Active jobs
2
Median salary
$195,000 / yr
Total applicants
48
Full-time
2 jobs

Rate Glean

4.5 · 280 reviews

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In-demand skills

Most common tags on active listings at Glean.

Glean · 2RAG · 2LLM · 2Seattle · 1Enterprise search · 1

Work modes

  • Hybrid
    2 jobs

Where Glean hires for AI

Why join Glean

Enterprise
RAG
UX

Tech stack & AI roles

Glean hires engineers skilled in Python, TypeScript, LLM, RAG and the US AI ecosystem.

PythonTypeScriptLLMRAGKubernetes

FAQ — hiring at Glean

Is Glean hiring for AI roles right now?
Yes — 2 active listings on Ganloss, including Seattle, San Francisco.
What is Glean's rating on Ganloss?
Average 4.5/5 from 280 candidate reviews — feedback on hiring process, tech stack, and team culture.
Which AI roles does Glean hire for?
Typical skills: Python, TypeScript, LLM, RAG, Kubernetes. Industry: Enterprise AI. See each listing below for details.
How do I apply to Glean?
Browse the jobs below and apply in one click with a free Ganloss candidate account. Look for Easy apply on supported listings.