Glean tech stack

Glean builds mostly with Python, Java, SQL, Go. Its stack also includes GitHub, AWS, BigQuery, Google BigQuery. GitHub is named in 121 of the 124 job postings Glean published in the last 12 months (98%). Counted by Alion from the job postings of Glean, updated Sep 27, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 27, 2026
Technologies in use
82
Postings analysed
124
Open now
104
Modernity
87 /100
New in 6 months
8

What programming languages does Glean use?

Python is named in 22% of job postings at Glean, followed by Java (16%), SQL (11%), Go (10%).

Python 27 22% required in 93% · 17 open now · since Apr 2022
Java 20 16% required in 95% · 12 open now · since Apr 2022
SQL 14 11% required in 57% · 10 open now · since Apr 2022
Go 12 10% required in 92% · 8 open now · since Jun 2024
C++ 11 9% required in 100% · 7 open now · since Apr 2022
TypeScript 7 6% required in 100% · 4 open now · since Apr 2022
JavaScript 4 3% required in 50% · 4 open now · since Apr 2022
Bash 2 2% required in 100% · 2 open now · since Aug 2026
Show all (10)
PowerShell2
Ruby1

What frameworks and libraries does Glean use?

Bootstrap is named in 2% of job postings at Glean, followed by Django (1%), Flask (1%), Guardrails AI (1%).

Bootstrap 2 2% required in 100% · 2 open now · since Jun 2026
Django 1 1% required in 100% · since Jul 2026
Flask 1 1% required in 100% · since Jul 2026
Guardrails AI 1 1% required in 100% · 1 open now · since Mar 2026
PyTorch 1 1% required in 100% · since Nov 2025
PyTorch C++ 1 1% required in 100% · since Nov 2025
Ruby on Rails 1 1% required in 100% · since Jul 2026
TensorFlow 1 1% required in 100% · since Nov 2025
Show all (10)
TensorFlow C++1
LangChain1

What databases does Glean use?

BigQuery is named in 2% of job postings at Glean, followed by Google BigQuery (2%).

BigQuery 2 2% required in 50% · 2 open now · since Jun 2026
Google BigQuery 2 2% required in 50% · 2 open now · since Jun 2026

What cloud and platforms does Glean use?

GitHub is named in 98% of job postings at Glean, followed by AWS (18%), GCP (18%), Azure (15%).

GitHub 121 98% required in 99% · 103 open now · since Apr 2022
AWS 22 18% required in 86% · 17 open now · since Jun 2024
GCP 22 18% required in 86% · 17 open now · since Apr 2022
Azure 18 15% required in 83% · 13 open now · since Jun 2024
Kubernetes 9 7% required in 56% · 7 open now · since Jan 2025
Linux 7 6% required in 43% · 5 open now · since Jan 2025
Okta 3 2% required in 100% · 3 open now · since Aug 2026
Windows 2 2% required in 100% · 2 open now · since Aug 2026
Show all (14)
API Gateway1
Apollo1
DLP1
GitHub Actions1
Microsoft Entra ID1
Snyk1

What developer tools does Glean use?

Model Context Protocol is named in 6% of job postings at Glean, followed by Rest API (6%), Copilot (3%), Terraform (2%).

Model Context Protocol 8 6% required in 75% · 4 open now · since Jun 2024
Rest API 7 6% required in 100% · 4 open now · since Apr 2022
Copilot 4 3% required in 75% · 1 open now · since Jun 2024
Terraform 3 2% required in 100% · 3 open now · since Mar 2025
Cursor 3 2% required in 33% · 1 open now · since Jun 2024
Docker 2 2% required in 100% · 2 open now · since Feb 2026
dbt 2 2% required in 100% · 2 open now · since Aug 2026
Claude Code 2 2% required in 50% · since Jun 2024
Show all (14)
Bazel1
Clair1
Dependabot1
OWASP ZAP1
Trivy1
Microsoft Excel1

What AI and ML technologies does Glean use?

LLM is named in 98% of job postings at Glean, followed by ChatGPT (2%), Gemini (2%), Claude (2%).

LLM 121 98% required in 100% · 103 open now · since Apr 2022
ChatGPT 3 2% required in 67% · 2 open now · since Dec 2025
Gemini 2 2% required in 100% · 1 open now · since Dec 2025
Claude 2 2% required in 50% · since Jun 2024

Which engineering practices does Glean ask for?

AI Agents is named in 98% of job postings at Glean, followed by RAG (10%), Machine Learning (6%), A/B Testing (5%).

AI Agents 121 98% required in 100% · 103 open now · since Apr 2022
RAG 13 10% required in 92% · 10 open now · since Jun 2024
Machine Learning 8 6% required in 100% · 2 open now · since Apr 2022
A/B Testing 6 5% required in 100% · 6 open now · since Jun 2026
LLM Guardrails 6 5% required in 67% · 4 open now · since Feb 2026
Reinforcement Learning 4 3% required in 100% · 1 open now · since Nov 2025
LLM Evaluation 3 2% required in 100% · 2 open now · since May 2026
NLP 3 2% required in 100% · 2 open now · since Aug 2026
Show all (28)
Prompt Engineering3
DHCP2
DNS2
Embeddings2
Multimodal AI2
Platform Engineering2
Semantic Search2
TCP/IP2
CI/CD2
FinOps2
Agentic Workflows1
Anomaly Detection1
Fine-tuning1
Function Calling1
Human-in-the-Loop1
Incident Management1
Master Data Management1
Post-training1
Semantic Search1
Tool Use1

What does each Glean team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Sales

39 postings
GitHub39
LLM39

Product

21 postings
GitHub21
LLM21
AWS3
Azure3
GCP3
Model Context Protocol3

Backend

13 postings
GitHub13
LLM13
Java10
Go9
Python9
TypeScript6

Marketing

12 postings
GitHub12
LLM12

Solutions

8 postings
GitHub7
LLM7
AWS4
Azure4
GCP4
Python3

Support

6 postings
GitHub5
LLM5
AWS4
Azure4
GCP4
Rest API4

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How much does Glean pay by technology?

Median stated pay of the postings that name each technology, against the median of all Glean postings with stated pay: $265k across 98 postings.

TechnologyPostings with payMedianvs company median
LLM97$265k0%
GitHub96$265k0%
Python21$265k0%
Java16$265k0%
AWS16$255k−4%
GCP16$255k−4%
Azure12$238k−10%
SQL10$235k−11%
C++9$265k0%
Go8$300k+13%

How is the Glean stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
EmbeddingsSep 2026
Multimodal AISep 2026
dbtAug 2026
OktaAug 2026
BashAug 2026
DHCPAug 2026
DNSAug 2026
PowerShellAug 2026
Rising
Java4% → 17%
RAG4% → 16%
Python14% → 24%
C++4% → 11%
Machine Learning4% → 9%
Linux4% → 9%
NLP0% → 4%
Okta0% → 4%
Falling
A/B Testing14% → 3%
Go11% → 6%
Not named for 6 months
Prompt EngineeringFeb 2026

How modern is the Glean stack?

Cutting-edge AI adopter 87/100

Glean scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

How common is the Glean stack in its industry?

Share of the 813 companies in the same industries, whose stack Alion knows, that use each technology.

GitHub23%
LLM54%
Python67%
AWS50%
GCP40%
Java18%
Azure34%
SQL40%
Go25%
C++11%

Glean products in its job postings

Postings at Glean name its own products. They describe what the company makes, so they are left out of the stack above.

Knowledge Graph120

Questions about the Glean tech stack

What programming languages does Glean use?

The languages named in Glean job postings are Python (22%), Java (16%), SQL (11%), Go (10%), C++ (9%), as a share of the 124 postings of the last 12 months.

Does Glean use Bootstrap?

Yes. Bootstrap is named in 2 of 124 job postings (2%) and required in 2 of them.

What cloud and platforms does Glean use?

The cloud and platforms named in Glean job postings are GitHub (121), AWS (22), GCP (22) (postings in brackets).

What skills do you need for a Sales job at Glean?

Sales postings at Glean most often require GitHub (39), LLM (39), out of 39 postings in the last 12 months.

Is the Glean tech stack changing?

Yes. Embeddings, Multimodal AI, dbt, Okta first appeared in Glean job postings in the last six months.

How modern is the Glean tech stack?

Glean scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.

How does Alion know the Glean tech stack?

Alion reads every job posting Glean publishes and tags the technologies each one names. The figures on this page count the 124 postings of the last 12 months and were updated on Sep 27, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Glean tech stack: 82 technologies from 124 job postings", as of Sep 27, 2026. https://alion.io/company/glean/technologies

Licence: CC BY-SA 4.0JSON