Productboard tech stack

Productboard builds mostly with Python, JavaScript, Kotlin, TypeScript. Its stack also includes Spark, Looker, Snowflake, PostgreSQL. Python is named in 8 of the 12 job postings Productboard published in the last 12 months (67%). Counted by Alion from the job postings of Productboard, updated Sep 28, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 28, 2026
Technologies in use
61
Postings analysed
12
Open now
10
Modernity
89 /100
New in 6 months
8

What programming languages does Productboard use?

Python is named in 67% of job postings at Productboard, followed by JavaScript (50%), Kotlin (42%), TypeScript (33%).

Python 8 67% required in 63% · 6 open now · since Jul 2025
JavaScript 6 50% required in 50% · 4 open now · since Jul 2025
Kotlin 5 42% required in 60% · 5 open now · since Jul 2025
TypeScript 4 33% required in 25% · 4 open now · since Jul 2025
Ruby 4 33% optional · 4 open now · since Jul 2025
Java 3 25% required in 100% · 3 open now · since Jul 2025
Go 1 8% required in 100% · 1 open now · since Aug 2026
SQL 1 8% required in 100% · 1 open now · since Sep 2026

What frameworks and libraries does Productboard use?

Pydantic AI is named in 42% of job postings at Productboard, followed by React.js (33%), PoC Library (17%), LangChain (17%).

Pydantic AI 5 42% optional · 5 open now · since Jul 2025
React.js 4 33% required in 25% · 4 open now · since Jul 2025
PoC Library 2 17% required in 100% · since May 2026
LangChain 2 17% optional · 2 open now · since Aug 2026
LangGraph 2 17% optional · 2 open now · since Aug 2026
Celery 1 8% optional · 1 open now · since Aug 2026
OpenAI Agents SDK 1 8% optional · 1 open now · since Sep 2026

What databases does Productboard use?

Snowflake is named in 42% of job postings at Productboard, followed by PostgreSQL (42%), Redis (33%).

Snowflake 5 42% required in 20% · 5 open now · since Jul 2025
PostgreSQL 5 42% optional · 5 open now · since Jul 2025
Redis 4 33% optional · 4 open now · since Jul 2025

What cloud and platforms does Productboard use?

Spark is named in 67% of job postings at Productboard, followed by Looker (67%), AWS (50%), GitHub (42%).

Spark 8 67% required in 88% · 6 open now · since Jul 2025
Looker 8 67% optional · 8 open now · since Jul 2025
AWS 6 50% required in 17% · 6 open now · since Jul 2025
GitHub 5 42% required in 60% · 4 open now · since May 2026
Kubernetes 5 42% required in 20% · 5 open now · since Jul 2025
Cloudflare 4 33% optional · 4 open now · since Jul 2025
Azure DevOps 2 17% required in 100% · since May 2026
Perplexity 2 17% required in 100% · 2 open now · since Sep 2026
Show all (16)
Azure2
Figma2
Apache Kafka1
Datadog1
GitHub Actions1
Power BI1
Sentry1
Tableau1

What developer tools does Productboard use?

Claude Code is named in 42% of job postings at Productboard, followed by Cursor (42%), Braintrust (42%), GraphQL (42%).

Claude Code 5 42% required in 100% · 4 open now · since Jul 2025
Cursor 5 42% required in 100% · 4 open now · since Jul 2025
Braintrust 5 42% optional · 5 open now · since Jul 2025
GraphQL 5 42% optional · 5 open now · since Jul 2025
Terraform 5 42% optional · 5 open now · since Jul 2025
OpenAI Codex 4 33% required in 100% · 3 open now · since Jul 2025
Rest API 2 17% required in 100% · since May 2026
Git 2 17% required in 50% · 2 open now · since Aug 2026
Show all (13)
Docker2
Copilot1
dbt1
Helm1
Model Context Protocol1

What AI and ML technologies does Productboard use?

LLM is named in 42% of job postings at Productboard, followed by Claude (42%), ChatGPT (17%).

LLM 5 42% required in 100% · 5 open now · since Jul 2025
Claude 5 42% required in 80% · 4 open now · since May 2026
ChatGPT 2 17% required in 100% · 2 open now · since Sep 2026

Which engineering practices does Productboard ask for?

AI Agents is named in 75% of job postings at Productboard, followed by Function Calling (42%), Tool Use (42%), A/B Testing (25%).

AI Agents 9 75% required in 100% · 7 open now · since Jul 2025
Function Calling 5 42% required in 100% · 5 open now · since Jul 2025
Tool Use 5 42% required in 100% · 5 open now · since Jul 2025
A/B Testing 3 25% required in 100% · 3 open now · since Aug 2026
Self-Healing 3 25% required in 100% · 3 open now · since Jul 2025
CI/CD 2 17% required in 100% · 2 open now · since Jul 2025
ETL/ELT 1 8% required in 100% · 1 open now · since Sep 2026
LLM Guardrails 1 8% required in 100% · 1 open now · since Aug 2026
Show all (11)
Multi-Agent Systems1
Progressive Delivery1
Prompt Engineering1

What does each Productboard team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Product

3 postings
LLM3
Spark3
Claude Code2
Cursor2
Java2
Kotlin2

Marketing

3 postings
ChatGPT2
Claude2
GitHub2
Perplexity2

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How is the Productboard 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
ChatGPTSep 2026
PerplexitySep 2026
GitAug 2026
DockerAug 2026
LangChainAug 2026
LangGraphAug 2026
A/B TestingAug 2026
ClaudeMay 2026

How modern is the Productboard stack?

Cutting-edge AI adopter 89/100

Productboard scores 89 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: 3; legacy ones: 0.

How common is the Productboard stack in its industry?

Share of the 49 companies in the same industries, whose stack Alion knows, that use each technology.

Looker18%
Python57%
Spark10%
AWS49%
JavaScript69%
Claude47%
GitHub43%
Kotlin16%
Kubernetes47%
LLM43%

What sets Productboard apart

Pydantic AI4%

Questions about the Productboard tech stack

What programming languages does Productboard use?

The languages named in Productboard job postings are Python (67%), JavaScript (50%), Kotlin (42%), TypeScript (33%), Ruby (33%), as a share of the 12 postings of the last 12 months.

Does Productboard use React.js?

Yes. React.js is named in 4 of 12 job postings (33%) and required in 1 of them.

What cloud and platforms does Productboard use?

The cloud and platforms named in Productboard job postings are Spark (8), Looker (8), AWS (6) (postings in brackets).

What skills do you need for a Product job at Productboard?

Product postings at Productboard most often require LLM (3), Spark (3), Claude Code (2), Cursor (2), out of 3 postings in the last 12 months.

Is the Productboard tech stack changing?

Yes. ChatGPT, Perplexity, Git, Docker first appeared in Productboard job postings in the last six months.

How modern is the Productboard tech stack?

Productboard scores 89 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: 3; legacy ones: 0.

How does Alion know the Productboard tech stack?

Alion reads every job posting Productboard publishes and tags the technologies each one names. The figures on this page count the 12 postings of the last 12 months and were updated on Sep 28, 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, "Productboard tech stack: 61 technologies from 12 job postings", as of Sep 28, 2026. https://alion.io/company/productboard/technologies

Licence: CC BY-SA 4.0JSON