Workforce | Intelligence | Growth Talent Expertise Meets Agentic AI-Driven Scale
San Jose, California
“Connecting Technology with Talent” Founded in 2003 and headquartered in San Jose, California, E-Solutions is a certified Minority Business Enterprise (MBE) delivering Digital Product Engineering, AI-powered transformation, Global Workforce Management, and Business Process Outsourcing solutions to organizations worldwide. With operations across 35+ countries and services spanning 150+ countries, we help enterprises accelerate growth by combining technology, talent, and innovation. Our expertise includes: • Digital Product Engineering • Agentic AI & Generative AI Solutions • AI, Data Engineering & Analytics • Intelligent Automation • Cloud & DevOps • Business Process Outsourcing (BPO) • Global Workforce Management • Recruitment Process Outsourcing (RPO) • Employer of Record (EOR) & Agent of Record (AOR) • Global Payrolling, Compliance & Hire-Train-Deploy Solutions At E-Solutions, we partner with Fortune 500 enterprises, high-growth companies, and digital-first organizations to solve complex business challenges through scalable technology and workforce solutions. Our integrated approach enables organizations to build, modernize, and scale with confidence while driving measurable business outcomes. Connecting Technology with Talent. Powering Intelligent Transformation.
Remote · Canada
Lead Salesforce Marketing Cloud campaign migration and delivery, designing and reviewing architectures, automations, customer journeys, and campaign configurations. Guide developers, coordinate with data and CXone teams, manage technical governance and risks, and support testing, go-live, hypercare, and production stabilization.
Remote · Canada
Lead global production support for Salesforce Marketing Cloud and Data Cloud, serving as the primary escalation point and coordinating 24x7 coverage with offshore engineers. Manage incidents, root cause analysis, platform health, service metrics, stakeholder communications, and change and release activities.
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads that ingest, transform, and process large volumes of data while maintaining data quality, security, and governance. Design enterprise data warehouse solutions and data models, troubleshoot performance issues, and review code for requirements fit and adherence to standards.
