echoloc

Customertimes Tech Stack

Digital engineering and data services across five verticals

IT Services and IT Consulting New York, NY 1,001–5,000 employees Privately Held

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.

Tech Stack 172 technologies

Core StackSalesforce SalesLoft Angular JavaScript TypeScript GitLab Bitbucket Databricks Power BI Apache Spark Azure DevOps dbt Delta Lake Outreach LinkedIn Sales Navigator SASS npm Angular CLI NgRx SAP QM SAP HANA Salesforce Marketing Cloud Azure Synapse Analytics Microsoft Fabric Azure Data Platform Fabric Data Factory Microsoft Purview Azure Data Lake Azure SQL OneLake+135 more
AdoptingSalesforce Salesforce Data Cloud Salesforce Marketing Cloud Salesforce Sales Cloud Salesforce Service Cloud Salesforce Experience Cloud

What Customertimes Is Building

Challenges

  • Reducing solution defects and rework
  • Large scale data analytics platform
  • High performance data handling
  • Complex client side logic
  • Detecting commercial data anomalies
  • Maintaining platform stability
  • Incident management
  • Performance tuning
  • Migrating legacy platforms to microsoft fabric
  • Improving campaign execution processes

Active Projects

  • Enterprise level web development project
  • Large scale data analytics platform
  • Ai-augmented platform for commercial data anomaly detection
  • Ai/genai pocs or pilots
  • Data migration to microsoft fabric
  • Scalable data models in microsoft fabric lakehouse/warehouse
  • Data security and governance with microsoft purview
  • Crm and digital marketing campaigns
  • Data extensions and segmentation models
  • Continuous improvement of campaign execution processes

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
9
Data
2
Marketing
2
Finance
1
Ops
1
Sales
1

Seniority

Senior
12
Mid
2
Junior
1
Lead
1
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About Customertimes

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.

HeadquartersNew York, NY
Company Size1,001–5,000 employees
Hiring MarketsFrance, India, Ukraine, Poland, United States, United Kingdom

Frequently Asked Questions

What tech stack does Customertimes use?

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.

What projects is Customertimes working on?

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.

How this profile is built

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.