Digital engineering and data services across five verticals
Customertimes is a 1,000+ person digital engineering firm headquartered in New York with distributed delivery across Europe and the Americas. The tech stack reveals a heavy Salesforce footprint (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, Experience Cloud all in motion) paired with a modern data platform strategy centered on Microsoft Azure (Synapse, Fabric, Data Lake, Purview). Active projects span enterprise web development, large-scale data analytics, and AI-driven commercial anomaly detection—indicating a shift from pure outsourcing into data-intensive, intelligence-led engagements. Hiring is accelerating with a senior-heavy engineering and data focus, suggesting expansion into complex platform delivery rather than staff augmentation.
Customertimes delivers custom digital engineering, software development, and data integration services to mid-market and enterprise clients in Life Sciences, Financial Services, Insurance, Consumer Packaged Goods, Manufacturing, and Software. The firm operates offices in New York, London, Paris, Toronto, Kyiv, Riga, Warsaw, and Podgorica, enabling global resource deployment across North America and Europe. Core capabilities include full-cycle product development, Salesforce and SAP integration, CRM and ERP platform implementation, and mobile application development. Recent project activity centers on enterprise data platforms, Salesforce cloud consolidation, migration to Microsoft Fabric, and building AI-powered analytics capabilities. The organization is structured around delivering custom solutions to specific vertical requirements at scale.
Customertimes uses Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud), Microsoft Azure (Synapse, Fabric, Data Lake, Purview), Databricks, Apache Spark, dbt, SAP (HANA, QM), and web development tools (Angular, TypeScript, JavaScript). The stack emphasizes cloud data platforms and enterprise CRM integration.
Active projects include enterprise web development, large-scale data analytics platforms, AI-augmented commercial anomaly detection, data migrations to Microsoft Fabric, CRM and digital marketing campaigns, and data governance implementation using Microsoft Purview. AI/GenAI proofs-of-concept are underway.
Customertimes'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.