Pinterest tech stack
Pinterest builds mostly with Python, SQL, C++, Java. Its stack also includes Hadoop, Spark, AWS, Flink. Python is named in 25 of the 58 job postings Pinterest published in the last 12 months (43%). Counted by Alion from the job postings of Pinterest, updated Oct 10, 2026.
What programming languages does Pinterest use?
Python is named in 43% of job postings at Pinterest, followed by SQL (34%), C++ (14%), Java (14%).
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What frameworks and libraries does Pinterest use?
Hadoop is named in 12% of job postings at Pinterest, followed by Flink (9%), PyTorch (9%), TensorFlow (9%).
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What databases does Pinterest use?
Trino is named in 3% of job postings at Pinterest, followed by Apache Iceberg (2%), Presto (2%).
What cloud and platforms does Pinterest use?
Spark is named in 10% of job postings at Pinterest, followed by AWS (9%), Kubernetes (9%), MLFlow (5%).
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What developer tools does Pinterest use?
Cursor is named in 12% of job postings at Pinterest, followed by OpenAI Codex (12%), Copilot (10%), ArgoCD (3%).
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What AI and ML technologies does Pinterest use?
LLM is named in 22% of job postings at Pinterest, followed by ChatGPT (2%).
Which engineering practices does Pinterest ask for?
Machine Learning is named in 41% of job postings at Pinterest, followed by Recommender Systems (16%), NLP (10%), Computer Vision (9%).
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What does each Pinterest team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
11 postingsBackend
10 postingsAI/ML
10 postingsEarly Careers
4 postingsHow does your stack fit Pinterest?
How much does Pinterest pay by technology?
Median stated pay of the postings that name each technology, against the median of all Pinterest postings with stated pay: $327k across 45 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Python | 17 | $339k | +4% |
| SQL | 15 | $288k | −12% |
| LLM | 10 | $350k | +7% |
| Java | 5 | $365k | +12% |
| Flink | 5 | $365k | +12% |
| Kubernetes | 5 | $365k | +12% |
| AWS | 5 | $327k | 0% |
How is the Pinterest 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 Pinterest stack?
Pinterest 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: 2; legacy ones: 0.
How common is the Pinterest stack in its industry?
Share of the 30 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Pinterest
Questions about the Pinterest tech stack
What programming languages does Pinterest use?
The languages named in Pinterest job postings are Python (43%), SQL (34%), C++ (14%), Java (14%), JavaScript (7%), as a share of the 58 postings of the last 12 months.
Does Pinterest use Hadoop?
Yes. Hadoop is named in 7 of 58 job postings (12%) and required in 7 of them.
What cloud and platforms does Pinterest use?
The cloud and platforms named in Pinterest job postings are Spark (6), AWS (5), Kubernetes (5) (postings in brackets).
What skills do you need for a Data Science job at Pinterest?
Data Science postings at Pinterest most often require Python (10), SQL (10), Spark (3), PyTorch (2), out of 11 postings in the last 12 months.
Is the Pinterest tech stack changing?
Yes. React.js, MLFlow, PyTorch C++, TensorFlow C++ first appeared in Pinterest job postings in the last six months.
How modern is the Pinterest tech stack?
Pinterest 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: 2; legacy ones: 0.
How does Alion know the Pinterest tech stack?
Alion reads every job posting Pinterest publishes and tags the technologies each one names. The figures on this page count the 58 postings of the last 12 months and were updated on Oct 10, 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, "Pinterest tech stack: 80 technologies from 58 job postings", as of Oct 10, 2026. https://alion.io/company/pinterest-5/technologies
