AlphaSense tech stack
AlphaSense builds mostly with Python, JavaScript, SQL, TypeScript. Its stack also includes Kubernetes, AWS, React.js, LangChain. Kubernetes is named in 58 of the 147 job postings AlphaSense published in the last 12 months (39%). Counted by Alion from the job postings of AlphaSense, updated Sep 27, 2026.
What programming languages does AlphaSense use?
Python is named in 38% of job postings at AlphaSense, followed by JavaScript (26%), SQL (20%), TypeScript (8%).
Python
56 38%
JavaScript
38 26%
SQL
30 20%
TypeScript
12 8%
Go
9 6%
Java
9 6%
PowerShell
6 4%
Node JS
6 4%
Show all (12)
What frameworks and libraries does AlphaSense use?
React.js is named in 10% of job postings at AlphaSense, followed by LangChain (7%), AutoGen (5%), Spring Boot (4%).
React.js
15 10%
LangChain
10 7%
AutoGen
7 5%
Spring Boot
6 4%
CrewAI
6 4%
Commander.js
5 3%
OpenTelemetry
5 3%
FastAPI
4 3%
Show all (22)
What databases does AlphaSense use?
Vespa is named in 6% of job postings at AlphaSense, followed by ElasticSearch (5%), MySQL (5%), Snowflake (3%).
Vespa
9 6%
ElasticSearch
8 5%
MySQL
7 5%
Snowflake
5 3%
Google BigQuery
4 3%
BigQuery
3 2%
DynamoDB
2 1%
Amazon Aurora
1 1%
Show all (10)
What cloud and platforms does AlphaSense use?
Kubernetes is named in 39% of job postings at AlphaSense, followed by AWS (32%), GCP (22%), Azure (14%).
Kubernetes
58 39%
AWS
47 32%
GCP
33 22%
Azure
20 14%
Tableau
13 9%
Okta
12 8%
Grafana
12 8%
Show all (56)
And 16 more, each named in fewer postings.
What developer tools does AlphaSense use?
GraphQL is named in 15% of job postings at AlphaSense, followed by Model Context Protocol (14%), Docker (13%), Rest API (11%).
GraphQL
22 15%
Model Context Protocol
21 14%
Docker
19 13%
Rest API
16 11%
Prometheus
11 7%
Git
10 7%
Claude Code
9 6%
Terraform
7 5%
Show all (35)
What AI and ML technologies does AlphaSense use?
LLM is named in 20% of job postings at AlphaSense, followed by Claude (3%), Midjourney (1%), Stable Diffusion (1%).
Which engineering practices does AlphaSense ask for?
CI/CD is named in 31% of job postings at AlphaSense, followed by AI Agents (23%), Platform Engineering (13%), NLP (10%).
CI/CD
46 31%
AI Agents
34 23%
Platform Engineering
19 13%
NLP
14 10%
Show all (41)
And 1 more, each named in fewer postings.
What does each AlphaSense team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
26 postingsSecurity
25 postingsProduct
17 postingsDevOps
14 postingsIndustrial Engineering
10 postingsAI/ML
7 postingsHow does your stack fit AlphaSense?
How much does AlphaSense pay by technology?
Median stated pay of the postings that name each technology, against the median of all AlphaSense postings with stated pay: $200k across 49 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Kubernetes | 16 | $284k | +42% |
| Python | 11 | $225k | +13% |
| SQL | 11 | $176k | −12% |
| LLM | 10 | $240k | +20% |
| JavaScript | 9 | $228k | +14% |
| AWS | 8 | $252k | +26% |
| GCP | 6 | $252k | +26% |
| Tableau | 5 | $154k | −23% |
How is the AlphaSense 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.
How modern is the AlphaSense stack?
AlphaSense scores 81 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: 5; legacy ones: 0.
How common is the AlphaSense stack in its industry?
Share of the 483 companies in the same industries, whose stack Alion knows, that use each technology.
What sets AlphaSense apart
Companies with a stack like AlphaSense
Alphasense
121 shared technologies
Okta
123 shared technologies
Commonwealth Bank of Australia
126 shared technologies
Zscaler
133 shared technologies
Depository Trust & Clearing Corporation
120 shared technologies
Government Technology Agency
116 shared technologies
Proofpoint
110 shared technologies
PayPal
102 shared technologies
Questions about the AlphaSense tech stack
What programming languages does AlphaSense use?
The languages named in AlphaSense job postings are Python (38%), JavaScript (26%), SQL (20%), TypeScript (8%), Go (6%), as a share of the 147 postings of the last 12 months.
Does AlphaSense use React.js?
Yes. React.js is named in 15 of 147 job postings (10%) and required in 9 of them.
What cloud and platforms does AlphaSense use?
The cloud and platforms named in AlphaSense job postings are Kubernetes (58), AWS (47), GCP (33) (postings in brackets).
What skills do you need for a Backend job at AlphaSense?
Backend postings at AlphaSense most often require GraphQL (10), Kubernetes (7), LLM (6), Python (5), out of 26 postings in the last 12 months.
Is the AlphaSense tech stack changing?
Yes. Apache Kafka, Combine, BigQuery, Knowledge Graph first appeared in AlphaSense job postings in the last six months.
How modern is the AlphaSense tech stack?
AlphaSense scores 81 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: 5; legacy ones: 0.
How does Alion know the AlphaSense tech stack?
Alion reads every job posting AlphaSense publishes and tags the technologies each one names. The figures on this page count the 147 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, "AlphaSense tech stack: 181 technologies from 147 job postings", as of Sep 27, 2026. https://alion.io/company/alphasense/technologies