Glean

Glean

Product Management Intern, Admin Console (Summer 2026)

Mountain View, CA · Intern · Internship

Sponsorship not specifiedDetected 86 days ago
GitLLMsAgentic AIComplianceZendeskCommunicationMicrosoft Teams

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odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

Glean Technologies, Inc. obtained a prevailing wage determination for Software Developers in Palo Alto, CALIFORNIA on 2026-06-24. No matching green-card filing appears in our data yet. The determination expires in 15 days (2026-09-21), and a green-card filing must follow before then or the employer starts over.

Files H-1B transfers

14 transfer filings in the last year, covering 14 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Glean is seeking a Product Management Intern to help shape the future of the Admin Console - the central surface where customers deploy, operate, and scale Glean across their organization.
  • In this role, you'll work on high-impact admin experiences that make it easier for teams to understand system health, diagnose issues, and self-serve resolution.
  • Talk to customers and internal teams to identify where admins get stuck today, then translate those insights into product bets that make Glean easier to operate and more self-serve.

Responsibilities

  • Work closely with engineering and design to turn ambiguous admin pain points into clear product requirements, user flows, and shipped improvements.
  • As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role.
  • Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants.

Requirements

  • You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
  • Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
  • By submitting your application, you are agreeing to our use and processing of your data as required.

Compensation

  • Certain roles may be eligible for variable compensation, equity, and benefits.
  • The standard base range for this position is $60 hourly.
  • Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Benefits

  • Certain roles may be eligible for variable compensation, equity, and benefits.
  • We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Company info

  • With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
  • About the Role: Glean is seeking a Product Management Intern to help shape the future of the Admin Console - the central surface where customers deploy, operate, and scale Glean across their organization.
  • We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization.

This listing is sourced directly from Glean's careers page and normalized into a canonical job model.