iSpot Tech Stack

Real-time TV and streaming ad measurement platform with attribution

Advertising Services Bellevue, Washington 201–500 employees Privately Held

iSpot operates a real-time measurement and attribution platform for TV and streaming advertising. The tech stack reveals a data-intensive operation: Python, PySpark, Spark SQL, Snowflake, Redshift, and Tableau for analytics, paired with a modern web layer (React, Next.js, TypeScript). The project list shows aggressive modernization — AI-assisted system migration, ETL redesign on Apache Spark, clean room pipeline optimization — indicating a shift from legacy batch reporting toward real-time, predictive intelligence. The hiring mix (engineering-heavy, with product and data roles) supports this engineering-led transformation.

Tech Stack 26 technologies

Core StackCursor Python Java Go PySpark Oracle PostgreSQL SQL Server AWS Snowflake Apache Spark Salesforce Tableau TypeScript React Next.js Slack Zoom Spark SQL ggplot2 Matplotlib Shiny SQL Developer Amazon Redshift Remix Gemini

What iSpot Is Building

◆Challenges

Modernizing existing pipelines
Scalable ad processing
Migrating legacy services
Data quality & accuracy
Bottlenecks in operations
Shifting from historical reporting to predictive intelligence
Large messy data
Scaling data science pipelines
Optimizing data pipeline architecture
Standardizing data delivery pipelines

▲Active Projects

Real-time tv advertising measurement platform
Ai-assisted system migration
Sales agreement sign-off process
Cross-functional business process documentation
Next generation ai-driven measurement and attribution solutions
Predictive modeling solutions
Data quality improvement research
Clean room data pipeline optimization
Etl pipeline design with apache spark

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Engineering

Data

Ops

Product

Seniority

Intern

Junior

Mid

Senior

Company intelligence

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About iSpot

iSpot provides measurement and attribution solutions for TV and streaming advertising campaigns. The platform ingests ad performance data across linear and streaming channels, then surfaces real-time insights on creative effectiveness, media plan optimization, and cross-platform conversion attribution — all benchmarked against competitive and historical data. The company operates at scale: 201–500 employees across engineering, data, operations, and product. Core expertise spans TV ad analytics, media planning, competitive intelligence, and real-time data infrastructure. Customers range from mid-market to enterprise advertisers and media buyers.

HeadquartersBellevue, Washington

Company Size201–500 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does iSpot use?

iSpot uses Python, PySpark, Spark SQL, Apache Spark for data processing; Snowflake and Redshift for warehousing; PostgreSQL and Oracle for transactional databases; Tableau for analytics visualization; React and Next.js for frontend; TypeScript for application development; and Salesforce for CRM.

What is iSpot working on?

Active projects include real-time TV ad measurement, AI-assisted system migration, next-generation AI-driven measurement and attribution solutions, ETL pipeline design with Apache Spark, and clean room data pipeline optimization. The company is shifting from historical reporting toward predictive intelligence.

How this profile is built

iSpot's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.