Job Responsibilities:

✦   Support deployment and stress-testing of pilot Data 360 features with customers, identifying platform gaps and feeding structured findings back to Technology & Product.

✦   Assist in feasibility research on novel data unification, activation, and AI-grounding use cases.

✦   Help co-develop hypotheses with Technology & Product teams and support field experiments.

✦   Document engineering observations, ingestion failures, transform errors, and activation gaps with structured evidence.

✦   Participate in beta testing programs for new Data 360 features.

✦   Support technical engagement of new Data 360 products and features alongside senior FDE team members.

✦   Assist in embedding with customer teams to understand their data estate and contribute to solution architecture.

✦   Participate in rapid prototyping and POC cycles to validate technical feasibility.

✦   Support customers in building AI-ready data foundations.

✦   Contribute to building reusable accelerators, playbooks, and reference architectures.

✦   Support senior FDEs in capturing and documenting Voice of Customer inputs.

✦   Help produce knowledge articles, best practices, and enablement content.

✦   Support qualifying R&D activities including product gap analysis and feasibility prototyping.

✦   Provide structured access to customer data schemas and configurations.

✦   Assist in codifying accelerators, playbooks, and reference architectures.

✦   Participate in beta and pilot programs for incubation-stage Data 360 products.

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Job Requirements:

✦   2–3 years of hands-on experience in enterprise data platforms, SaaS environments, or Salesforce Professional Services.

✦   Working knowledge of Salesforce Data 360 including data ingestion, data model, segmentation, and activation concepts.

✦   Foundational experience with Batch Data Transforms, calculated insights, or streaming ingestion.

✦   Proficiency in SQL and comfort with data modeling and ETL/ELT concepts.

✦   Basic understanding of zero-copy integrations or external data platforms.

✦   Awareness of AI grounding concepts such as RAG, vector databases, and unstructured data pipelines.

✦   Familiarity with Data 360 Activation including segments and triggered flows.

✦   Exposure to data governance and consent management frameworks.

✦   Ability to document structured field observations.

✦   Familiarity with Data 360 features such as Enhanced Retriever Pre-Filters, Notebook AI, and Dynamic Retriever Filters.

✦   Solid written communication skills.

✦   Salesforce Data 360 Consultant certification or actively pursuing.

✦   Salesforce Agentforce Specialist certification.

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Job Application:

✦   Job Application Type: Link

​      Job Application Link: https://www.linkedin.com/jobs/search/?currentJobId=4404067716&f_TPR=r86400&keywords=salesforce&location=India&sortBy=R&start=325

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Additional Details:

✦   Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications during the recruiting process.

✦   Benefits and resources are provided to support work-life balance and professional growth.