Data Foundation Solution Engineer
Salesforce is hiring a Data Foundation Solution Engineer for a remote role open to applicants in Argentina. Level rates it ; you can apply on Salesforce.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include AI agents.
- Level lists 1,500+ other open roles at Salesforce.
- The role was posted in the last few days.
AI in this role
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Job Category
SalesJob 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.
Solution Engineer – Data Foundation (MuleSoft & Informatica)
Argentina | Colombia | Mexico
About the Role
We are looking for a hands-on, technically strong Solution Engineer with expertise in data, integration, and AI. The ideal candidate combines technical depth with a consultative mindset, helping customers solve complex business challenges through innovative solutions powered by MuleSoft and Informatica.
Key Responsibilities
- Design and propose technical solutions that address customer challenges across data, integration, and AI.
- Build and deliver compelling technical demos, prototypes, and Proofs of Concept (PoCs) that demonstrate business value.
- Engage with customers to understand their technical needs and translate them into impactful solutions.
- Partner with sales and technical teams to drive customer success through technical storytelling and value-based demonstrations.
- Explore innovative use cases that leverage data and integration to enable AI-driven transformation.
Qualifications
- Strong technical background in data management, integration architectures, APIs, and cloud technologies.
- Hands-on experience building integrations, technical demonstrations, and solutions.
- Understanding of AI and Generative AI concepts and their application to enterprise use cases.
- Experience with MuleSoft, Informatica, or similar data and integration platforms is a plus.
- Strong problem-solving, communication, and presentation skills.
- Experience in Solution Engineering, technical presales, solution architecture, or similar customer-facing technical roles is preferred.
What We’re Looking For
A curious, hands-on technical problem solver who enjoys building solutions, engaging with customers, and connecting technology to business value. Someone passionate about the intersection of Data, Integration, and AI, with the ability to turn complex challenges into compelling customer experiences.
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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
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.
How we rate this
Data Foundation Solution Engineer at Salesforce rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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