How to Apply to Glean

7 min read Last updated March 8, 2026 162 open positions
Blake Crosley
Blake Crosley Researched using publicly available information, hiring data, and ATS analysis.

Key Takeaways

  • Glean is the leading enterprise AI search platform, valued at $4.6 billion with 162+ open positions across all functions
  • Applications are processed through Greenhouse ATS — format your resume with standard headers and clean single-column layout
  • The interview process is structured and rubric-based, emphasizing system design for engineering roles and consultative skills for sales roles
  • Enterprise experience is highly valued — highlight SaaS, integrations, customer-facing work, and knowledge of the enterprise software stack
  • Glean's founding team comes from Google Search — the company has world-class search and ML expertise driving product development
  • High-growth stage means opportunities to define roles, build teams, and have outsized impact across the organization

About Glean

Glean is the leading enterprise AI search and assistant platform, enabling employees to find information, generate content, and automate workflows across every application their company uses. Founded by Arvind Jain, a former Google Distinguished Engineer who helped build Google's search infrastructure, Glean has raised over $400 million in funding and reached a valuation of $4.6 billion. With approximately 700 employees and 162+ open positions, Glean is one of the fastest-growing enterprise AI companies in the world. The company's core product connects to over 100 enterprise applications — Slack, Google Workspace, Salesforce, Jira, Confluence, and dozens more — creating a unified search experience that understands context, permissions, and organizational knowledge. Glean's AI assistant goes beyond search to generate answers, summarize documents, draft content, and build custom AI-powered applications through Glean Apps. This is not a wrapper around a language model — Glean has built proprietary retrieval and ranking technology specifically designed for enterprise environments. Headquartered in Palo Alto, Glean operates at the intersection of search engineering, machine learning, and enterprise software. The company's founding team brings deep expertise from Google, where they worked on some of the most complex search and infrastructure challenges in technology. Glean's culture reflects this heritage: technically ambitious, data-driven, and focused on building products that fundamentally change how people work. For candidates considering Glean, the opportunity is to join a company that is defining a new category — enterprise AI — with the technical depth and market traction to become a generational company.

Application Process

  1. 1
    Explore Open Positions on Glean Careers

    Visit glean.com/careers to browse approximately 162+ open positions across engineering, product, sales, marketing, customer success, and operations. Glean organizes roles by function and location. Take time to read full job descriptions, as many positions require specific enterprise or search experience. Glean's growth means new roles are posted frequently, so check back regularly if you do not see an immediate fit.

  2. 2
    Submit Your Application via Greenhouse

    Glean uses Greenhouse as its applicant tracking system (board token: gleanwork). When you apply, your resume is parsed by Greenhouse's extraction engine. Upload a clean, ATS-optimized resume in PDF or DOCX format. Fill out all application fields completely, including any role-specific questions. Glean receives a high volume of applications, so a well-structured resume that clearly communicates your relevant experience improves your chances of advancing past the initial screen.

  3. 3
    Recruiter Phone Screen

    Selected candidates participate in a 30-minute recruiter screen covering your background, interest in Glean, and alignment with the role. Glean recruiters are well-prepared and will ask about your understanding of the enterprise AI landscape, why Glean specifically interests you, and what you would bring to the team. This is also your opportunity to ask questions about team structure, growth trajectory, and day-to-day responsibilities.

  4. 4
    Hiring Manager or Technical Screen

    For engineering roles, a 45-60 minute technical screen follows, typically involving coding and system design relevant to Glean's domain (search, ML, distributed systems, or full-stack development). For go-to-market roles, the hiring manager conducts a deep-dive conversation focused on your sales methodology, customer success track record, or product management approach. Glean evaluates domain expertise and the ability to operate in a high-growth environment.

  5. 5
    Full Interview Loop

    The on-site or virtual interview loop consists of 4-5 sessions spanning technical depth, cross-functional collaboration, and cultural alignment. Engineering candidates face system design, coding, and ML/search-specific sessions. Sales candidates present deal reviews or territory plans. All candidates complete a values-fit conversation exploring how they collaborate, handle disagreements, and approach customer-centric product thinking. The loop is designed to evaluate you holistically.

  6. 6
    Debrief, References, and Offer

    After the interview loop, the hiring committee debriefs and makes a decision, typically within one week. If selected, Glean conducts 2-3 reference checks before extending an offer. Offers include competitive base salary, equity in a high-growth company valued at $4.6 billion, and comprehensive benefits. The recruiting team moves quickly once a decision is made, and candidates can expect clear communication throughout the process.

Resume Tips for Glean

critical

Emphasize Enterprise and Search Experience

Glean is an enterprise search company at its core. If you have experience building search systems, information retrieval, recommendation engines, or enterprise SaaS products, make this the centerpiece of your resume. Quantify your impact: 'Built search ranking system serving 10M+ queries per day with sub-200ms P99 latency' or 'Launched enterprise integration used by 500+ companies.' Glean reviewers want evidence that you understand the unique challenges of enterprise software.

critical

Demonstrate AI/ML Practical Application

Glean is not building AI for research — they are building AI that works in production for enterprise customers. Highlight practical ML experience: deploying models at scale, fine-tuning language models, building retrieval-augmented generation (RAG) systems, or optimizing for latency and accuracy in production environments. Phrases like 'Deployed NLP model to production serving 1M+ users with 95% accuracy' carry more weight than academic publications alone.

critical

Showcase Customer-Centric Product Thinking

Glean sells to enterprises, and every role — engineering included — requires understanding customer needs. Include examples of how you shaped product decisions based on customer feedback, usage data, or market analysis. For sales and customer success roles, quantify revenue impact: 'Closed $3.2M in enterprise ARR through consultative selling approach' or 'Grew customer retention from 85% to 94% through proactive success program.'

recommended

Format for Greenhouse ATS Parsing

Your resume passes through Greenhouse's parser before a human sees it. Use standard section headers (Professional Experience, Education, Technical Skills), reverse chronological order, and consistent date formatting. Avoid tables, columns, graphics, and icons. A clean single-column PDF in a standard font ensures Greenhouse accurately extracts your job titles, companies, dates, and skills.

recommended

Include Enterprise SaaS and Integration Keywords

Glean integrates with 100+ enterprise tools. Keywords that signal relevant experience include: enterprise SaaS, API integrations, SSO/SAML, RBAC, SOC 2, data connectors, Salesforce, Slack, Jira, knowledge management, and information retrieval. Use these naturally in the context of real accomplishments — do not create a keyword list divorced from your experience.

recommended

Highlight High-Growth Startup Experience

Glean is scaling rapidly from 700 employees with 162+ open positions. If you have thrived in high-growth environments — particularly during the Series B through D stages — call this out explicitly. Describe how you built processes, scaled teams, or established functions from scratch. For example: 'Joined as first sales hire in EMEA; built team to 12 reps generating $8M ARR within 18 months.'

nice_to_have

Show Connector and Platform Thinking

Glean's product value comes from connecting to every tool a company uses. If you have experience building integrations, APIs, connectors, or platform products, highlight this work. Understanding how data flows across enterprise systems and how to build reliable, secure integrations is directly applicable to Glean's core technical challenges.

ATS System: Greenhouse

Glean uses Greenhouse as its applicant tracking system to manage all hiring activity. Greenhouse is a structured hiring platform favored by high-growth technology companies for its collaborative evaluation workflows and robust resume parsing. Your application will be processed through Greenhouse's parsing engine, which extracts your work history, education, skills, and contact information from your uploaded resume.

  • Upload your resume as PDF — Greenhouse handles PDF parsing well while preserving your formatting
  • Use standard, recognizable section headers: Professional Experience, Education, Skills, Summary
  • Include the exact role title from the job listing in your resume summary or recent experience
  • Avoid multi-column layouts, tables, text boxes, or graphics that interfere with parsing
  • Complete all required and optional application questions — Glean uses these for initial screening

Complete Greenhouse Resume Guide →

Interview Culture

Glean's interview process reflects its roots in Google's engineering culture — structured, data-driven, and focused on evaluating both technical excellence and collaborative ability.

The company uses calibrated rubrics for each interview session, meaning every candidate is evaluated against consistent criteria rather than subjective impressions. For engineering candidates, Glean emphasizes system design heavily. The company's technical challenges — building a search engine that operates across 100+ data sources with enterprise-grade security and sub-second latency — require candidates who can reason about distributed systems, data pipelines, and ML ranking at scale. Expect at least one interview focused specifically on search or information retrieval concepts, even if the role is not directly on the search team. For go-to-market roles, Glean evaluates consultative selling ability and enterprise customer empathy. Sales candidates typically present a deal review or mock customer pitch, while customer success candidates discuss how they would handle complex enterprise deployments. Product managers face case studies that test their ability to prioritize features in a fast-moving market. Culturally, Glean values intellectual curiosity, ownership mentality, and transparency. The company operates with low hierarchy and high trust — employees are expected to take initiative, share context broadly, and debate ideas on their merits regardless of seniority. In behavioral interviews, Glean looks for evidence that you operate this way: taking ownership of ambiguous problems, giving and receiving direct feedback, and making decisions with incomplete information. Glean also values customer obsession. Even in engineering interviews, you may be asked how you would approach a customer problem or how you think about user experience. The company believes that great products come from people who deeply understand the problems they are solving, not just the technology they are building.

What Glean Looks For

  • Experience building or scaling enterprise SaaS products, particularly in search, AI, or knowledge management
  • Strong technical foundations in distributed systems, ML/NLP, or full-stack engineering
  • Customer-centric product thinking — understanding enterprise buyer needs and end-user experience
  • Track record of execution in high-growth startup environments (Series B through pre-IPO)
  • Ownership mentality — taking initiative on ambiguous problems without waiting for direction
  • Collaborative and transparent communication style with low ego
  • Passion for the enterprise AI space and a clear perspective on where the market is heading
  • Ability to operate at both strategic and tactical levels in a fast-changing environment

Frequently Asked Questions

What ATS does Glean use for job applications?
Glean uses Greenhouse as its applicant tracking system. When you apply through glean.com/careers, your application is submitted to Greenhouse (board token: gleanwork). Greenhouse parses your resume to extract work history, education, skills, and contact information. To ensure accurate parsing, use a clean PDF format with standard section headers, consistent dates, and no complex layouts like tables or multi-column designs.
What types of roles is Glean currently hiring for?
Glean has approximately 162+ open positions spanning engineering (backend, frontend, ML/AI, infrastructure), product management, design, sales (enterprise AEs, commercial AEs), customer success, marketing, business development, and operations. Sample roles include Product Manager for Connectors, Business Value Consultant, AI Outcomes Manager, and Commercial Account Executive. The company is in a high-growth phase and is expanding across nearly every function.
How competitive is it to get hired at Glean?
Glean is highly selective, particularly for engineering and product roles, given its strong reputation and Google-pedigree founding team. The company receives a large volume of applications for each position. Candidates with enterprise SaaS experience, search or ML expertise, or a track record of success at high-growth startups have the strongest profiles. Tailoring your resume to highlight directly relevant experience and demonstrating genuine knowledge of Glean's product significantly improves your chances.
Does Glean offer remote work?
Glean is headquartered in Palo Alto and has a strong in-office culture, particularly for engineering and product teams. However, some roles — especially in sales, customer success, and certain business functions — offer remote or hybrid flexibility. Check the specific job listing for location details, as requirements vary by role and team. Discuss work arrangement flexibility with your recruiter during the initial screen.
What is Glean's product and why is it growing so fast?
Glean builds enterprise AI search and assistant technology. The platform connects to 100+ enterprise applications (Slack, Google Workspace, Salesforce, Jira, Confluence, and more) to create a unified search experience that respects permissions and understands organizational context. The Glean AI assistant can answer questions, summarize documents, and automate workflows. Glean Apps allows companies to build custom AI applications. The rapid growth is driven by enterprise demand for AI that works securely with company data rather than public internet data.
What technical skills are most valued at Glean?
For engineering roles, Glean values expertise in distributed systems, information retrieval, ML/NLP, full-stack development (React, TypeScript, Go, Python), database systems, API design, and cloud infrastructure (AWS, GCP). For ML-specific roles, experience with transformer models, embeddings, ranking systems, and RAG architectures is highly relevant. For all technical roles, demonstrate ability to build production systems at scale — Glean processes millions of queries across enterprise data sources.
How long does the Glean interview process take?
The Glean hiring process typically takes 3-5 weeks from initial application to offer. The timeline includes recruiter screen (week 1-2), technical or hiring manager screen (week 2-3), full interview loop (week 3-4), and debrief with references and offer (week 4-5). Glean moves efficiently once a candidate enters the pipeline, and the recruiting team communicates proactively about next steps and timing.
What is the compensation like at Glean?
Glean offers competitive compensation packages including base salary, annual bonus or commission (for sales roles), and equity in a company valued at $4.6 billion. Equity is a significant component given Glean's growth trajectory and potential IPO path. Benefits include comprehensive healthcare, 401(k), flexible PTO, and professional development budgets. Exact compensation varies by role, level, and location.
How should I prepare for a Glean engineering interview?
Focus on system design and practical engineering. Expect questions about designing search systems, building data pipelines, ML model serving at scale, and distributed systems architecture. Review information retrieval fundamentals (inverted indices, ranking algorithms, query understanding) and be prepared to discuss trade-offs in real systems. Coding interviews test problem-solving in your language of choice. Study Glean's product to understand the technical challenges of enterprise search with 100+ connectors.

Open Positions

Glean currently has 162 open positions.

Check Your Resume Before Applying → View 162 open positions at Glean

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Sources

  1. Glean — Careers — Glean
  2. Glean — Enterprise AI Search Platform — Glean
  3. Glean — Connectors and Integrations — Glean