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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.
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.
Together with our employees, customers, and partners, we’re working to improve the state of the world. Our commitment to a values-driven culture—rooted in Trust, Customer Success, Innovation, and Equality—is why we’re consistently recognized among the world’s leading employers.
The Datacloud and Agentforce Solution Engineer is a key member of the pre-sales organisation. The focus of this role is to cover complex technical topics within the sales cycle, specifically for our Data Cloud and Agentforce solutions. You will be instrumental in helping our customers understand how these next-generation Salesforce capabilities fit and integrate into their existing architecture landscape.
A critical component of this role is acting as a hands-on technical expert who designs, develops, and delivers Proof of Concepts (POCs) and hackathons for Data Cloud and Agentforce solutions. This involves transforming architectural visions into tangible, working solutions that demonstrate the power of AI-driven, unified data to our customers. Topics will include AI/Machine Learning architecture, data unification, large-scale data architecture, data modeling, solution performance, and system integration patterns.
Your Impact – Responsibilities:
- Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
- Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders.
- Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders.
- Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilisation.
- Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively.
- Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions.
- Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy.
- Respond to RFPs, focusing on the technical components of data, AI, and integration.
- Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce.
- Be a thought leader on specific technology topics like Generative AI and Data Strategy.
- Drive innovation projects with impact (POCs, MVPs).
- Maintain awareness of technical best practices related to data governance, security, and compliance.
Minimum Qualifications:
- Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions.
- Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.).
- Fluent in English and local language (Tagalog)
- Experience in pre-sales, e.g., solution engineering or technical architecture.
- Multi-year experience in software, system, or enterprise architecture disciplines.
- Strong understanding of data integration patterns, data synchronisation, and data volume considerations in a cloud environment.
- Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure.
- General interest in staying at the forefront of current technology developments and keeping knowledge up to date.
Preferred Qualifications:
- Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud (Agentforce) solutions.
- Experience with Large Language Models (LLMs) and Generative AI architectures.
- Salesforce Certified Architect or relevant Data/AI certifications (e.g., AWS, Azure, GCP Data/ML certifications).
- Knowledge of relevant data privacy and compliance requirements is a plus.
- Knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
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
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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.