Principal, Specialist SE

131 Salesforce Tecnologia, Ltda.

São Paulo

Presencial

BRL 180 000 - 300 000

Tempo integral

Há 5 dias
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Resumo da oferta

Salesforce is seeking a Specialist Solution Engineer for Agentforce and Data 360 in Brazil. The role combines trusted technical advisory with field specialization, partnering with AEs to translate customers’ data and AI ambitions into practical, demonstrable solutions that scale.

You’ll lead deep discovery, deliver tailored demos, and enable teams across Salesforce’s platform while engaging C-level and IT audiences in Portuguese and English. A strong data/AI background is essential.

Qualificações

  • 7+ years in Pre-Sales / Solution Engineering or related role in complex enterprises.
  • Ability to lead technical discovery and shape a technical sales strategy.
  • Strong understanding of enterprise data, AI, integration, governance, security, and architecture.
  • Excellent presentation and storytelling for executive and technical audiences.

Responsabilidades

  • Deliver executive-level product demonstrations, prototypes, and proofs of concept.
  • Lead deep discovery to uncover customer data and AI needs and feasibility.
  • Translate business goals into technical solutions for prospects and customers.
  • Partner with Account Executives to shape the technical sales strategy across the cycle.

Conhecimentos

Pre-Sales / Solution Engineering
Enterprise data concepts
AI & data patterns
Executive storytelling
Portuguese fluency
English proficiency
Solution architecture

Formação académica

Bachelor's degree in Computer Science or STEM

Ferramentas

Snowflake
Databricks
BigQuery
Python
SQL

Descrição da oferta de emprego

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Sales.

Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

What is a Solution Engineer?

Also known as a "Pre-Sales Engineer" or "Sales Consultant," the Solution Engineer is responsible for presenting product offerings and architecture in the best light to prospects and customers, to evoke confidence in the company's technology, and to remove technical objections in the sales cycle. To accomplish this, the Solution Engineer leverages both technical and sales skills — soliciting business requirements, developing a technical sales strategy, and configuring and effectively demonstrating solutions that address those requirements and deliver business value.

About the Role

As a Specialist Solution Engineer for Agentforce & Data 360, you are trusted technical advisor and field specialist for customers evaluating, implementing, and expanding their use of Salesforce Agentforce and Data 360 (Data Cloud), and the broader enterprise data and AI ecosystem. Your work sits at the intersection of solution engineering, applied data and AI, and delivery-aware judgment on what it takes to make a solution succeed. You partner with Account Executives and Solution Engineers throughout the sales cycle to translate customers' data and AI ambitions into practical, demonstrable, and trusted solutions. This role asks you to go both deep and wide: deep on the trusted data and agent foundation that everything depends on, and wide across the ecosystem on which your customers actually run their business because real value lives at the seams between systems, not inside any single product.

Your Impact
  • Act as the domain expert and evangelist for Agentforce and Data 360 to customers (including C-level and IT executives) and to internal teams.
  • Partner with Account Executives and Solution Engineers to understand each customer's unique business goals and challenges, and to shape the technical sales strategy across the sales cycle.
  • Lead deep discovery to uncover customers' real problems, where data and processes break down, and where AI agents can create leverage, and pressure-test feasibility, data readiness, and cost-to-serve early.
  • Deliver executive-level, tailored product demonstrations, prototypes, and proofs of concept that closely reflect each customer's business and demonstrate both what's real and what it takes to operationalize and scale.
  • Lead discussions around Agentforce, Data 360, data structures and patterns, AI readiness, grounding and retrieval, identity, governance, integration, automation, and business value.
  • Articulate the value of the broader Salesforce platform and connect the data & AI story to the customer's return on investment.
  • Execute enablement activities (webinars, best practices, knowledge shares) for both customers and internal peers, and enable the broader Solution Engineering team to position the value of Agentforce and Data 360.
  • Turn what you learn in the field into reusable assets, reference patterns, best practices, and product feedback that extend your impact beyond your immediate deals — routinely engaging Product and Engineering teams to improve our products and the customer experience.
Minimum Qualifications
  • 7+ years of experience in Pre-Sales / Solution Engineering, architecture, consulting, implementation, or a related technical role in complex enterprise environments.
  • Demonstrated ability to lead technical discovery and shape technical sales strategy, connecting business needs to technology decisions.
  • Strong understanding of enterprise data, AI, integration, governance, security, and platform architecture concepts and patterns.
  • Excellent presentation and storytelling skills, with proven experience engaging both executive and technical audiences, in person and over the web.
  • Superb written communication skills for both internal and external audiences.
  • Strong time-management skills, with the ability to run multiple projects and sales cycles in parallel.
  • A builder's mindset — comfortable picking up new tools and getting hands-on to prototype, demo, and prove concepts.
  • Demonstrated curiosity and learning velocity in emerging technologies, especially the AI, data, automation, and agentic systems space.
  • Fluent Portuguese and professional English.
  • Bachelor's degree in Computer Science, Engineering, Data Science, another STEM field, or equivalent work experience.
Helpful Experience
  • Conversational AI, generative AI, AI agents, AI governance and observability, and enterprise automation.
  • Data platforms and patterns — data modeling, identity resolution, harmonization, real-time data, and grounding/retrieval for AI.
  • Modern data platforms such as Snowflake, Databricks, or BigQuery, and the hyperscaler ecosystems around them.
  • Programming languages such as Python, SQL, and AI-assisted development pipelines.
  • Building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets.
  • Salesforce certifications (Administrator, Platform, Data Cloud, AI Associate/Specialist, or Architect).
Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.

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