CRM

GTM Lead – AI & Data in the USA or Canada

Cloud for Good is seeking an experienced and visionary GTM Lead, AI & Data to define, build, and execute our go-to-market strategy for AI, Agentforce, Data Cloud, and data strategy growth across all industry verticals. This leader will be responsible for driving Cloud for Good’s AI market presence, shaping our AI value propositions, and enabling our Sales, Delivery, and Marketing organizations to grow pipeline and revenue across the each of

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Director – GTM Enablement in the USA or Canada

Cloud for Good is seeking an experienced, strategic, and highly operational Director of GTM Enablement to build and lead the programs, content, tools, and processes that elevate performance across our entire Go-To-Market organization.  The Director, GTM Enablement will report to the VP, Revenue Operations and partner closely with leaders across Sales, Alliances, Marketing, and Services.    This role supports leaders and individual contributors across Sales, Solution Engineering, Alliances, Marketing, and

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VP – Revenue Operations in the USA or Canada

Cloud for Good is seeking a highly motivated and analytically minded senior operational leader to build, lead, and scale the full operational backbone of our Go-To-Market engine. As VP of Revenue Operations, you will own the strategy, process design, systems, analytics, reporting, enablement, and operational infrastructure and execution that power our Sales, Alliances, and Marketing teams.  You will be responsible for driving end-to-end operational

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Operations Coordinator in Canada

The Operations Coordinator plays a vital role in supporting the behind-the-scenes operational functions that keep Cloud for Good running smoothly. This position supports the People, Finance, Operations, and Executive teams. The role will also require regular travel to the Cloud for Good Canada physical office to manage on-site administrative tasks as needed.   The ideal candidate is detail-oriented, process-driven, and thrives in

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Automate Multi-Turn Agent Testing with Conversation History in Agentforce

When an agent is deployed to handle a customer interaction, it’s not enough for it to answer a single question correctly. Real conversations are multi-turn: customers greet the agent, introduce themselves, ask follow-ups, and switch topics. Every turn matters, and every answer must remain consistent with the context previously set in the conversation. In this

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