Findem Tech Stack

AI platform transforming unstructured people data into hiring and workforce decisions

Software Development Redwood City, California 51–200 employees Founded 2019 Privately Held

Findem applies machine learning to billions of unstructured data points about people — work history, skills, connections, influence — to surface what drives hiring success and how talent networks operate. The stack reflects a data-heavy organization: Kafka, Spark, Hadoop, Airflow, Redshift, and Presto sit alongside Node.js and Python, with recent adoption of ChatGPT and Claude. Current hiring skews heavily toward engineering and data roles, while active projects target recruiting agents, query tools, and QA automation — suggesting the team is scaling both the platform's core inference layer and its go-to-market automation.

Tech Stack 49 technologies

Core StackNode.js JavaScript Cursor MongoDB AWS Kafka Apache Spark Hadoop Redshift Apache Airflow Python Scala GitHub Copilot Bitbucket Jira Jenkins Playwright Selenium TypeScript SQL Athena Presto Parquet JSON Avro ChatGPT Codeium Claude Git Unix+19 more

AdoptingNode.js JavaScript

What Findem Is Building

◆Challenges

Scaling it operations
Compliance framework implementation
Reducing busy work
Automated hiring process
Modernizing recruiting funnel
Security compliance initiatives
Closing talent gaps faster
Scaling qa coverage
Automating manual workflows
Scaling qa through ai and automation

▲Active Projects

Data pipelines and lake infrastructure
Modernizing recruiting funnel
Interactive query tools
Recruiting agents
Analytical tools for customer acquisition and operational efficiency
Implementing compliance frameworks
Scaling automation projects
Application integration and system improvements
Ai-driven testing framework
Scaling qa coverage

Hiring Activity

Steady20 roles · 9 in 30d

Department

Engineering

Data

Sales

Product

Ops

Support

Seniority

Senior

Staff

Principal

Intern

Mid

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About Findem

Findem is an AI platform for talent decisions, built for recruiting teams and HR leaders at mid-market and enterprise companies. The product extracts structured insight from unstructured people data — what Findem calls Success Signals (context on what makes hires stick) and Relationship Signals (who knows whom, where influence flows). The company is headquartered in Redwood City, California, and operates with 51–200 employees across the United States, Canada, and India. Core focus areas include improving hiring pipeline quality, reducing recruitment costs, and informing workforce planning and mobility decisions.

HeadquartersRedwood City, California

Company Size51–200 employees

Founded2019

Hiring MarketsCanada, India, United States

Frequently Asked Questions

What tech stack does Findem use?

Findem runs Kafka, Apache Spark, Hadoop, Redshift, and Airflow for data pipelines; MongoDB and SQL for storage; Node.js, Python, and Scala for application logic; and ChatGPT and Claude for inference. Testing is handled by Playwright and Selenium.

What is Findem working on?

Active projects include recruiting agents, interactive query tools, data pipeline and lake infrastructure, modernizing the recruiting funnel, AI-driven testing frameworks, and scaling QA through automation. Compliance framework implementation and security initiatives are also underway.