Event, marketing and HR engagement software plus AWS data engineering
Web Spiders builds engagement software for marketing and HR teams, but its current hiring tells a data story: a data-heavy, senior-skewed push concentrated in India around Spark, AWS EMR, Glue, Step Functions and Airflow. Pain points like fragmented dashboards and manual spreadsheet exports, paired with a centralised marketing and sales analytics platform project, suggest a consolidation of reporting onto a single AWS-based lakehouse.
Web Spiders is a privately held enterprise software company founded in 2000 and headquartered in San Jose, California, with 201–500 employees. It develops products for marketing and HR, including an enterprise event management platform, an AI assistant for B2B marketing automation and an AI video interview bot. The company also offers digital marketing, content production and website development services. Its stack spans PHP, Laravel, Angular, React, Vue, Node.js and Drupal for web work, Adobe Creative tools, Cinema 4D and Blender for design, and Python, Spark, Redshift, BigQuery and Power BI for data.
Web Spiders uses Python, Scala, Apache Spark, AWS (EMR, Glue, Lambda, Step Functions, Athena, Redshift), Airflow, BigQuery and Power BI for data, plus PHP, Laravel, React, Angular, Vue, Node.js and Drupal for web.
Yes. Hiring is accelerating and led by data roles, mostly senior, focused on Spark/PySpark frameworks, AWS EMR workloads and ETL/ELT pipelines. Sales and design roles are also open, all based in India.
Current projects include large-scale ETL/ELT pipelines on AWS EMR and Spark, data lake and warehouse pipelines, a centralised marketing and sales analytics platform, a real-time KPI tracker and automated executive PDF reports.
Other companies in the same industry, closest in size
Web Spiders'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.