Material tech stack

Material builds mostly with TypeScript, JavaScript, Python, SQL. Its stack also includes GCP, DLP, BigQuery, Google BigQuery. TypeScript is named in 2 of the 5 job postings Material published in the last 12 months (40%). Counted by Alion from the job postings of Material, updated Oct 17, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 17, 2026
Technologies in use
22
Postings analysed
5
Open now
3
Modernity
77 /100

What programming languages does Material use?

TypeScript is named in 40% of job postings at Material, followed by JavaScript (20%), Python (20%), SQL (20%).

TypeScript 2 40% required in 100% · 1 open now · since May 2026
JavaScript 1 20% required in 100% · since May 2026
Python 1 20% required in 100% · 1 open now · since Oct 2026
SQL 1 20% required in 100% · since Jun 2026

What frameworks and libraries does Material use?

React.js is named in 20% of job postings at Material.

React.js 1 20% required in 100% · since May 2026

What databases does Material use?

BigQuery is named in 20% of job postings at Material, followed by Google BigQuery (20%), PostgreSQL (20%).

BigQuery 1 20% required in 100% · since Jun 2026
Google BigQuery 1 20% required in 100% · since Jun 2026
PostgreSQL 1 20% required in 100% · 1 open now · since Oct 2026

What cloud and platforms does Material use?

GCP is named in 40% of job postings at Material, followed by DLP (20%), Kubernetes (20%), PagerDuty (20%).

GCP 2 40% required in 100% · 1 open now · since Jun 2026
DLP 1 20% required in 100% · 1 open now · since Oct 2026
Kubernetes 1 20% required in 100% · 1 open now · since Oct 2026
PagerDuty 1 20% required in 100% · since Jun 2026
SIEM 1 20% required in 100% · 1 open now · since Oct 2026
Sentry 1 20% required in 100% · since Jun 2026

What AI and ML technologies does Material use?

LLM is named in 40% of job postings at Material.

LLM 2 40% required in 100% · 1 open now · since May 2026

Which engineering practices does Material ask for?

Function Calling is named in 40% of job postings at Material, followed by Tool Use (40%), AI Agents (20%), Agentic Workflows (20%).

Function Calling 2 40% required in 100% · 1 open now · since May 2026
Tool Use 2 40% required in 100% · 1 open now · since May 2026
AI Agents 1 20% required in 100% · since May 2026
Agentic Workflows 1 20% required in 100% · since May 2026
CI/CD 1 20% required in 100% · since Jun 2026
IAM 1 20% required in 100% · 1 open now · since Oct 2026
SLI/SLO/SLA 1 20% required in 100% · 1 open now · since Sep 2026

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How modern is the Material stack?

Cutting-edge AI adopter 77/100

Material scores 77 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: 1; legacy ones: 0.

How common is the Material stack in its industry?

Share of the 1,566 companies in the same industries, whose stack Alion knows, that use each technology.

GCP35%
LLM35%
TypeScript41%
BigQuery8%
DLP0%
Google BigQuery8%
JavaScript53%
Kubernetes0%
PagerDuty1%
PostgreSQL0%

Questions about the Material tech stack

What programming languages does Material use?

The languages named in Material job postings are TypeScript (40%), JavaScript (20%), Python (20%), SQL (20%), as a share of the 5 postings of the last 12 months.

Does Material use GCP?

Yes. GCP is named in 2 of 5 job postings (40%) and required in 2 of them.

What cloud and platforms does Material use?

The cloud and platforms named in Material job postings are GCP (2), DLP (1), Kubernetes (1) (postings in brackets).

Is the Material tech stack changing?

No new technology has appeared in Material job postings in the last six months.

How modern is the Material tech stack?

Material scores 77 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: 1; legacy ones: 0.

How does Alion know the Material tech stack?

Alion reads every job posting Material publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 17, 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, "Material tech stack: 22 technologies from 5 job postings", as of Oct 17, 2026. https://alion.io/company/material/technologies

Licence: CC BY-SA 4.0JSON