Agentforce & Data 360 Solutions Engineer - Philippines

Salesforce Salesforce · Enterprise · Metro Manila, Philippines

Salesforce is seeking a Solutions Engineer for their Agentforce & Data 360 Solutions in the Philippines. This role focuses on the pre-sales technical aspects of Data Cloud and Agentforce, involving designing and delivering Proof of Concepts (POCs) and hackathons. The engineer will explain the technical and business benefits of Salesforce's AI-driven capabilities, advise on cloud architectures, and respond to RFPs, acting as a trusted advisor on data and AI strategy.

What you'd actually do

  1. Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
  2. 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.
  3. 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.
  4. Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilisation.
  5. 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.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • hands-on technical expert
  • transforming architectural visions into tangible, working solutions
  • AI/Machine Learning architecture
  • data unification
  • large-scale data architecture
  • solution performance
  • system integration patterns
  • hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions
  • deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions
  • 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
  • General interest in staying at the forefront of current technology developments and keeping knowledge up to date
  • Experience with Large Language Models (LLMs) and Generative AI architectures

Other signals

  • AI CRM
  • Agentforce
  • Data Cloud
  • Generative AI
  • unified data