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Salesforce

Builds cloud software for customer relationships

Success Architect - Agentforce

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Analyze, design, and optimize business processes focused on agent architecture and automation, and guide customers through Agentforce adoption and optimization.
  • Understand AI agent design principles, including topics, actions, prompts, and orchestration, and how underlying data quality and architecture affect agent performance.
  • Communicate and collaborate with cross-functional teams from developers to executives.
  • Facilitate discussions and translate technical concepts and solutions into tangible business value and return on investment for customers.
  • Demonstrate a basic understanding of emerging AI and agentic technologies and stay up to date with them.
  • Manage tasks independently while collaborating remotely with customers and colleagues.
  • Ensure customer solutions adhere to relevant data security and privacy regulations and best practices.
  • Have a degree or equivalent experience; relevant strengths may be demonstrated through previous jobs, extracurricular leadership, military experience, volunteer roles, or work experience.

Responsibilities

  • Serve as an Agentforce subject-matter expert for the broader Success Architect organization, including explaining how data foundations such as Data360 support AI agent success.
  • Engage with Signature and Strategic customers to evaluate and recommend optimization strategies for Agentforce technical architecture, DevOps, performance, and solution design.
  • Identify and evaluate gaps in standard product capabilities or identify creative architecture solutions through customization.
  • Facilitate and influence executive stakeholders while aligning technology strategy with business value and return on investment.
  • Run playbooks aligned with the Success Architect engagement catalog, tailored to Agentforce customers' needs and opportunities.
  • Build relationships with internal and external business partners and contribute to broader goals and growth.
  • Drive thought leadership through mentoring and knowledge sharing.
  • Guide customers' technical architecture, performance optimization, and solution design strategies to help them succeed with Agentforce.

Desired Qualifications

  • Have experience with Data360 or another Customer Data Platform, such as Segment, Tealium, Adobe Experience Platform, Amperity, or Treasure Data, and understand how it grounds AI agents in trusted data.
  • Have experience implementing Salesforce Clouds or multi-cloud scenarios, including Sales, Service, Industries, Marketing, or Commerce.
  • Be familiar with at least one Salesforce Architecture Domain: Integration, Access and Identity Management, Data Architecture, Sharing and Visibility, or Declarative and Apex Development.
  • Have experience designing, building, or evaluating AI agents, large language model-based automation, or conversational AI solutions.
  • Have experience in programming languages such as Python, Java, .NET, or SQL.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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