AI-powered digital experience agency for commerce and marketing transformation
Krish TechnoLabs is a 20-year-old digital agency building AI-driven commerce and marketing platforms on Adobe, Shopify Plus, and Commercetools. The stack reveals a mature analytics and orchestration maturity: Adobe's full suite (Experience Platform, Analytics, Launch, Target), multi-cloud infrastructure (AWS, Azure, GCP), and a data pipeline built on Snowflake, BigQuery, and Redshift. Hiring velocity is accelerating with senior and lead roles open across engineering and data—signaling active scaling of delivery capacity to match client project demand.
Notable leadership hires: Technical Lead
Krish TechnoLabs is a digital experience agency founded in 2003, headquartered in Ahmedabad, India. The company partners with global enterprises and digital-first brands to build AI-powered commerce and marketing platforms. Their service portfolio spans digital commerce (Adobe Commerce, Shopify Plus, Commercetools), marketing automation and analytics (Adobe Experience Manager, Google Analytics, Meta and TikTok advertising), and data architecture (analytics implementation, customer data integration, ETL orchestration). Current projects include Adobe Analytics implementations, customer data consolidation into Adobe Customer Journey Analytics, Magento-based ecommerce platform builds, and CI/CD automation. The team structure reflects delivery-focused operations: engineering and data teams dominate the active hiring, with smaller consulting, marketing, and ops functions.
Krish TechnoLabs uses: Jira and GitHub Actions for development, Python/Java/Scala for backend, Apache Spark and Kafka for data pipelines, AWS/Azure/GCP for cloud, Snowflake/BigQuery/Redshift for data warehousing, Adobe Experience Platform and Analytics for marketing, Magento for commerce, and Google Analytics 4 and Looker for reporting.
Current projects include Adobe Analytics implementation and data integration into Customer Journey Analytics, Magento-based ecommerce platform development, CI/CD pipeline automation, and automated performance and load-testing scripts. The company is also addressing internal challenges around resource optimization and utilization monitoring.
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