Material Bank tech stack

Material Bank builds mostly with Python, SQL, JavaScript, Sass. Its stack also includes AWS, Snowflake, Amazon S3, LangChain. Python is named in 4 of the 6 job postings Material Bank published in the last 12 months (67%). Counted by Alion from the job postings of Material Bank, updated Sep 27, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 27, 2026
Technologies in use
57
Postings analysed
6
Open now
4
Modernity
83 /100
New in 6 months
2

What programming languages does Material Bank use?

Python is named in 67% of job postings at Material Bank, followed by SQL (33%), JavaScript (33%), Sass (17%).

Python 4 67% required in 100% · 3 open now · since May 2026
SQL 2 33% required in 100% · 2 open now · since Aug 2026
JavaScript 2 33% required in 50% · 2 open now · since May 2026
Sass 1 17% required in 100% · 1 open now · since Aug 2026
TypeScript 1 17% required in 100% · 1 open now · since May 2026

What frameworks and libraries does Material Bank use?

LangChain is named in 33% of job postings at Material Bank, followed by LangGraph (33%), LlamaIndex (17%), Mastra (17%).

LangChain 2 33% required in 100% · 1 open now · since May 2026
LangGraph 2 33% required in 100% · 1 open now · since May 2026
LlamaIndex 1 17% required in 100% · since Jun 2026
Mastra 1 17% required in 100% · 1 open now · since May 2026
Next.js 1 17% required in 100% · 1 open now · since Aug 2026
React.js 1 17% required in 100% · 1 open now · since Aug 2026
React Query 1 17% optional · 1 open now · since Aug 2026

What databases does Material Bank use?

Snowflake is named in 50% of job postings at Material Bank, followed by Amazon Redshift (17%), BigQuery (17%), ClickHouse (17%).

Snowflake 3 50% required in 100% · 2 open now · since Jun 2026
Amazon Redshift 1 17% required in 100% · 1 open now · since Aug 2026
BigQuery 1 17% required in 100% · 1 open now · since Aug 2026
ClickHouse 1 17% required in 100% · 1 open now · since Sep 2026
Google BigQuery 1 17% required in 100% · 1 open now · since Aug 2026

What cloud and platforms does Material Bank use?

AWS is named in 50% of job postings at Material Bank, followed by Amazon S3 (33%), AWS Lambda (17%), Amazon ECS (17%).

AWS 3 50% required in 67% · 2 open now · since Jun 2026
Amazon S3 2 33% required in 100% · 1 open now · since Jun 2026
AWS Lambda 1 17% required in 100% · since Jun 2026
Amazon ECS 1 17% required in 100% · since Jun 2026
Azure 1 17% required in 100% · 1 open now · since Aug 2026
GCP 1 17% required in 100% · 1 open now · since Aug 2026
Looker 1 17% required in 100% · 1 open now · since Sep 2026
Tableau 1 17% required in 100% · 1 open now · since Sep 2026
Show all (14)
Arize Phoenix1
GitHub1
Kubernetes1
LangSmith1
Langfuse1
Sentry1

What developer tools does Material Bank use?

dbt is named in 50% of job postings at Material Bank, followed by Cortex (33%), Rest API (33%), Prometheus (33%).

dbt 3 50% required in 100% · 2 open now · since Jun 2026
Cortex 2 33% required in 100% · 1 open now · since Jun 2026
Rest API 2 33% required in 100% · 1 open now · since Jun 2026
Prometheus 2 33% required in 50% · 1 open now · since Jun 2026
Claude Code 1 17% required in 100% · since Jun 2026
Model Context Protocol 1 17% required in 100% · since Jun 2026
Storybook 1 17% optional · 1 open now · since Aug 2026
Terraform 1 17% optional · 1 open now · since Aug 2026

What AI and ML technologies does Material Bank use?

Claude is named in 17% of job postings at Material Bank, followed by LLM (17%).

Claude 1 17% required in 100% · since Jun 2026
LLM 1 17% required in 100% · since Jun 2026

Which engineering practices does Material Bank ask for?

A/B Testing is named in 33% of job postings at Material Bank, followed by AI Agents (33%), RAG (33%), Computer Vision (17%).

A/B Testing 2 33% required in 100% · 2 open now · since Aug 2026
AI Agents 2 33% required in 100% · 1 open now · since May 2026
RAG 2 33% required in 100% · 1 open now · since May 2026
Computer Vision 1 17% required in 100% · since Jul 2026
Data Vault 1 17% required in 100% · since Jun 2026
Dimensional Modeling 1 17% required in 100% · since Jun 2026
Edge AI 1 17% required in 100% · 1 open now · since May 2026
Embeddings 1 17% required in 100% · 1 open now · since May 2026
Show all (16)
Function Calling1
Human-in-the-Loop1
IAM1
LLM Guardrails1
Multi-Agent Systems1
Multimodal AI1
Prompt Engineering1
Tool Use1

How does your stack fit Material Bank?

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How is the Material Bank 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
SQLAug 2026
A/B TestingAug 2026

How modern is the Material Bank stack?

Cutting-edge AI adopter 83/100

Material Bank scores 83 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: 2; legacy ones: 0.

How common is the Material Bank stack in its industry?

Share of the 93 companies in the same industries, whose stack Alion knows, that use each technology.

Python41%
AWS30%
Snowflake6%
Amazon S39%
JavaScript43%
LangChain12%
LangGraph10%
SQL44%
AWS Lambda9%
Amazon ECS9%

Questions about the Material Bank tech stack

What programming languages does Material Bank use?

The languages named in Material Bank job postings are Python (67%), SQL (33%), JavaScript (33%), Sass (17%), TypeScript (17%), as a share of the 6 postings of the last 12 months.

Does Material Bank use LangChain?

Yes. LangChain is named in 2 of 6 job postings (33%) and required in 2 of them.

What cloud and platforms does Material Bank use?

The cloud and platforms named in Material Bank job postings are AWS (3), Amazon S3 (2), AWS Lambda (1) (postings in brackets).

Is the Material Bank tech stack changing?

Yes. SQL, A/B Testing first appeared in Material Bank job postings in the last six months.

How modern is the Material Bank tech stack?

Material Bank scores 83 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: 2; legacy ones: 0.

How does Alion know the Material Bank tech stack?

Alion reads every job posting Material Bank publishes and tags the technologies each one names. The figures on this page count the 6 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, "Material Bank tech stack: 57 technologies from 6 job postings", as of Sep 27, 2026. https://alion.io/company/material-bank/technologies

Licence: CC BY-SA 4.0JSON