Agentforce & Data 360 Solutions Engineer - Indonesia
Salesforce
Indonesia
Not specified
Proven track record running hands-on pocs
Deep expertise in ai and machine learning
Experience with complex data solutions
Salesforce is seeking an Agentforce & Data 360 Solutions Engineer in Indonesia to join their pre-sales organization, focusing on complex technical topics related to Data Cloud and Agentforce solutions. The role emphasizes hands-on technical expertise, designing Proof of Concepts (POCs), and advising customers on integrating AI and data solutions into their architecture
Job Summary
This role serves as a key member of the pre-sales organization, focusing on complex technical topics within the sales cycle for Data Cloud and Agentforce solutions.
The successful candidate will act as a hands-on technical expert who designs, develops, and delivers Proof of Concepts to demonstrate the power of AI-driven unified data.
Candidates must be able to advise CIO/CTO/CXO-level contacts on adopting cloud architectures and leveraging unified customer data and generative AI effectively.
Matching Summary
Match Score: 85
Salesforce is seeking an Agentforce & Data 360 Solutions Engineer in Indonesia to join their pre-sales organization, focusing on complex technical topics related to Data Cloud and Agentforce solutions. The role emphasizes hands-on technical expertise, designing Proof of Concepts (POCs), and advising customers on integrating AI and data solutions into their architecture.
Skills & Requirements
Must-have
Proven track record running hands-on POCs
Deep expertise in AI and Machine Learning
Experience with complex data solutions
Strong understanding of cloud architecture principles
Fluent in English and Bahasa Indonesia
Nice-to-have
Direct experience with Salesforce Data Cloud
Knowledge of Large Language Models and GenAI
Salesforce Certified Architect or relevant certifications
Understanding of data privacy and compliance
Thought leadership in Generative AI strategy
Key Requirements
Multi-year experience in software or enterprise architecture
Proven background in pre-sales or solution engineering
Fluency in English and local language (Bahasa)
Experience with data integration patterns and synchronization