Pre-Sales Data and AI Architect

Salesforce
São Paulo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Architectural judgment","Learning velocity","Stakeholder communication","Executive engagement","Technical problem-solving"]

Drive enterprise customer architectural discussions for Salesforce Data 360 (Data Cloud) and Agentforce, translating data and AI ambitions into practical, scalable architectures. Act as a senior field specialist and thought leader at the seams between systems—covering data foundations, identity, governance, integration, automation, and AI readiness. Partner with sellers and solution teams, lead demos and PoCs, and turn field learning into reusable assets, enablement, and best practices.

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FursaFursa
Salesforce
Salesforce
19 hours ago

Pre-Sales Data and AI Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Drive enterprise customer architectural discussions for Salesforce Data 360 (Data Cloud) and Agentforce, translating data and AI ambitions into practical, scalable architectures. Act as a senior field specialist and thought leader at the seams between systems—covering data foundations, identity, governance, integration, automation, and AI readiness. Partner with sellers and solution teams, lead demos and PoCs, and turn field learning into reusable assets, enablement, and best practices.
Location: São Paulo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Serve as a technical architect and senior field specialist for customers evaluating, implementing, and expanding Salesforce Data 360 and Agentforce.
  • •Share an enterprise data and AI point of view across agents, data platforms, CRM, trust, identity, workflow, governance, and adoption.
  • •Partner with sellers and solution teams to uncover customer problems, shape technical strategy, and pressure-test feasibility and cost-to-serve early.
  • •Lead customer architectural discussions across data structures and patterns, AI readiness, identity management, governance, integration, and automation.
  • •Build customer confidence via demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs; turn field learning into reusable assets and product feedback.

Key Requirements

  • •7+ years of experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments.
  • •Shape technical strategy with input from customers/stakeholders and validate solution approaches while connecting business needs to technology decisions.
  • •Strong understanding of enterprise data and AI, including integration, governance, security, privacy, and platform architecture concepts and patterns.
  • •Work across Sales, Product, Engineering, Support, and delivery/customer teams to move solutions from idea to execution.
  • •Bachelor’s degree in a STEM field (Computer Science, Software Engineering, Electrical Engineering, Data Science) or equivalent experience; graduate study a plus.
Experience:7+ yearsEnterprise softwareAIData platformsConsulting
Education:Bachelor's
Skills:Architectural judgmentLearning velocityStakeholder communicationExecutive engagementTechnical problem-solving
Tech Stack:Salesforce Data 360 (Data Cloud)AgentforceMuleSoftTableauInformaticaSnowflakeDatabricksBigQueryRedShiftPython

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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