AlphaSense tech stack
AlphaSense builds mostly with Python, SQL, JavaScript, Java. Its stack also includes Kubernetes, AWS, React.js, Vespa. Python is named in 67 of the 183 job postings AlphaSense published in the last 12 months (37%). Counted by Alion from the job postings of AlphaSense, updated Nov 11, 2026.
What programming languages does AlphaSense use?
Python is named in 37% of job postings at AlphaSense, followed by SQL (23%), JavaScript (22%), Java (7%).
Python
67 37%
SQL
42 23%
JavaScript
41 22%
Java
12 7%
TypeScript
12 7%
Go
11 6%
PowerShell
6 3%
Node JS
6 3%
Show all (13)
What frameworks and libraries does AlphaSense use?
React.js is named in 8% of job postings at AlphaSense, followed by LangChain (5%), OpenTelemetry (5%), Spring Boot (4%).
React.js
15 8%
LangChain
9 5%
OpenTelemetry
9 5%
Spring Boot
8 4%
AutoGen
7 4%
CrewAI
6 3%
Playwright
4 2%
FastAPI
3 2%
Show all (21)
What databases does AlphaSense use?
Vespa is named in 7% of job postings at AlphaSense, followed by ElasticSearch (6%), Google BigQuery (4%), Snowflake (4%).
Vespa
13 7%
ElasticSearch
11 6%
Google BigQuery
8 4%
Snowflake
8 4%
MySQL
7 4%
ClickHouse
3 2%
Amazon Redshift
3 2%
DynamoDB
2 1%
Show all (12)
What cloud and platforms does AlphaSense use?
Kubernetes is named in 35% of job postings at AlphaSense, followed by AWS (32%), GCP (22%), Azure (14%).
Kubernetes
64 35%
AWS
58 32%
GCP
40 22%
Azure
26 14%
Tableau
23 13%
Grafana
14 8%
Okta
13 7%
Show all (57)
And 17 more, each named in fewer postings.
What developer tools does AlphaSense use?
Model Context Protocol is named in 16% of job postings at AlphaSense, followed by GraphQL (15%), Rest API (13%), Docker (10%).
Model Context Protocol
30 16%
GraphQL
28 15%
Rest API
24 13%
Docker
18 10%
Claude Code
13 7%
Git
13 7%
Prometheus
11 6%
Helm
10 5%
Show all (37)
What AI and ML technologies does AlphaSense use?
LLM is named in 19% of job postings at AlphaSense, followed by Claude (3%), BERT (1%), Midjourney (1%).
Which engineering practices does AlphaSense ask for?
CI/CD is named in 28% of job postings at AlphaSense, followed by AI Agents (26%), Platform Engineering (11%), Agentic Workflows (10%).
CI/CD
51 28%
AI Agents
48 26%
Platform Engineering
20 11%
NLP
14 8%
GitOps
11 6%
Show all (38)
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
34 postingsSecurity
25 postingsProduct
24 postingsDevOps
14 postingsIndustrial Engineering
11 postingsLeadership
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: $198k across 60 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Kubernetes | 16 | $278k | +41% |
| SQL | 13 | $185k | −6% |
| Python | 12 | $227k | +15% |
| AWS | 11 | $278k | +41% |
| LLM | 11 | $176k | −11% |
| JavaScript | 10 | $231k | +17% |
| GCP | 8 | $252k | +27% |
| Tableau | 8 | $147k | −26% |
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 1,064 companies in the same industries, whose stack Alion knows, that use each technology.
What sets AlphaSense apart
Companies with a stack like AlphaSense
AlphaSense
132 shared technologies
Okta
143 shared technologies
Commonwealth Bank of Australia
138 shared technologies
Zscaler
145 shared technologies
Proofpoint
117 shared technologies
Pearson VUE
130 shared technologies
Depository Trust & Clearing Corporation
131 shared technologies
Arctic Wolf
125 shared technologies
Questions about the AlphaSense tech stack
What programming languages does AlphaSense use?
The languages named in AlphaSense job postings are Python (37%), SQL (23%), JavaScript (22%), Java (7%), TypeScript (7%), as a share of the 183 postings of the last 12 months.
Does AlphaSense use React.js?
Yes. React.js is named in 15 of 183 job postings (8%) and required in 9 of them.
What cloud and platforms does AlphaSense use?
The cloud and platforms named in AlphaSense job postings are Kubernetes (64), AWS (58), GCP (40) (postings in brackets).
What skills do you need for a Backend job at AlphaSense?
Backend postings at AlphaSense most often require Kubernetes (14), GraphQL (12), AWS (9), Python (8), out of 34 postings in the last 12 months.
Is the AlphaSense tech stack changing?
Yes. ClickHouse, Amazon Redshift, Databricks, dbt 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 183 postings of the last 12 months and were updated on Nov 11, 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: 183 technologies from 183 job postings", as of Nov 11, 2026. https://alion.io/company/alphasense/technologies