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Salesforce

Builds cloud software for customer relationships

Pre-Sales Data and AI Architect

Pre-Sales Solution EngineeringUpdated on Nov 11
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • At least 7 years of experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments.
  • A track record of shaping technical strategy with input from customers and/or stakeholders, validating solution approaches, and connecting business needs to technology decisions.
  • Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns.
  • Experience working across Sales, Product, Engineering, Support, and delivery or customer teams to move solutions from idea to execution.
  • Ability to distill and communicate complex technical ideas to executive and technical audiences.
  • Demonstrated curiosity and learning velocity in emerging technologies, especially within AI, data, automation, and agentic systems.
  • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, another STEM degree, or equivalent work experience.

Responsibilities

  • Share a clear point of view on enterprise data and AI, including how agents, data platforms, CRM, trust, identity, workflow, governance, and adoption come together to deliver value through Salesforce.
  • Develop deep understanding of Salesforce data and AI products and articulate the value of the Salesforce platform.
  • Partner with sellers and solution teams to uncover customers’ real problems, shape technical strategy, and pressure-test feasibility and cost-to-serve early.
  • Lead customer architectural discussions around Data 360, Agentforce, data structures and patterns, AI readiness, identity management, governance, integration, automation, and business value.
  • Build customer confidence through demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs that demonstrate what is feasible and what it takes to operationalize and scale.
  • Continuously scan the horizon and experiment to refine judgment on what is worth building and how to build it within the data and AI space.
  • Turn field learnings into reusable assets, enablement, best practices, and product feedback that extend impact beyond immediate teams and stakeholders.

Desired Qualifications

  • Graduate study is a plus.
  • Experience with Salesforce Data 360 (Data Cloud), Agentforce, MuleSoft, Tableau, Informatica, or the broader Salesforce Platform.
  • Experience with conversational AI, voice-enabled AI agents, real-time voice orchestration, telephony integrations, or multi-channel service experiences.
  • Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift, and the hyperscaler ecosystems around them.
  • Experience with AI agents, generative AI, AI governance and observability, external agent ecosystems, hyperscaler AI services, or enterprise automation.
  • Experience with programming languages such as Python, common data structures and tooling, and AI-assisted development pipelines.
  • Experience building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets.

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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