Salesforce implementation and managed services partner
ListEngage is a Salesforce-focused services firm built around implementation, migration, and ongoing support for enterprise marketing and sales clouds. The stack reveals deep Salesforce specialization (Marketing Cloud, Sales Cloud, Service Cloud, Agentforce, MuleSoft) paired with modern data infrastructure (Snowflake, Data Cloud) and AI tooling (GPT-4, autonomous agents). Active hiring is heavily senior-weighted (9 of 11 open roles), concentrated in engineering and sales, suggesting aggressive pursuit of larger deals and complex migrations — a fit for their stated pain around high-paced execution and complex sales environments.
ListEngage delivers Salesforce implementation, migration, and managed services to mid-market and enterprise clients. Founded in 2004 with 20+ years in the space, the firm operates from Framingham, MA and spans 51–200 employees. Service offerings include data model design, Marketing Cloud onboarding, legacy ESP migration, proof-of-concept delivery, and ongoing account management. The technology backbone combines Salesforce's full stack (Marketing Cloud, Sales Cloud, Service Cloud, Data Cloud, Agentforce) with supporting tools (MuleSoft for integration, Snowflake for data warehousing, Copado and Gearset for deployment automation). Recent project focus includes autonomous AI agent buildouts and reusable architecture assets, signaling a shift toward more scalable, self-service solution templates.
ListEngage works across Salesforce Marketing Cloud, Sales Cloud, Service Cloud, Commerce Cloud, and Data Cloud, plus Agentforce (AI agents) and integrations via MuleSoft. They support implementation, migration, managed services, and proof-of-concept delivery.
Yes. Data migration and governance are core pain points and active projects. ListEngage specifically addresses legacy ESP-to-Marketing-Cloud migration, data model refinement, and scalable data integration using Snowflake and Salesforce Data Cloud.
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ListEngage'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.