Senior Salesforce Consultant working with Data 360 features, designing solutions, and engaging with customers to drive data integration and product improvement. Focus on enterprise data platforms and AI - driven solutions.
About the role
- Data 360 FDE Associate supporting product innovation and customer engagement for Salesforce's AI CRM. Collaborating with strategic customers to enhance Data 360 capabilities and validate solutions.
Responsibilities
- Research & Field Validation
- 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
- Customer Engagement
- 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
- Build foundational skills as a technical contributor and junior escalation support
- Support customers in building AI-ready data foundations — unified profiles, consent management, and zero-copy integrations
- Product Acceleration & Feedback
- Contribute to building reusable accelerators, playbooks, and reference architectures that address Data 360 product gaps
- Support senior FDEs in capturing and documenting Voice of Customer (VoC) inputs and SICs with structured field evidence
- Help produce Knowledge Articles, best practices, and enablement content
- Field R&D Engagement
- Support the qualifying R&D activities for the Data 360 FDE program
- Provide structured access to customer data schemas, DLO/DMO designs, and agent configurations to inform future Data 360 product design improvements
- Support feasibility prototyping of emerging Data 360 capabilities
- Contribute to hardening agentic Data 360 products for enterprise scale by identifying platform gaps with evidence packages
- Assist in codifying accelerators, playbooks, and reference architectures to enable scale across Services & Partners
- Participate in beta and pilot programs for incubation-stage Data 360 products selected by Product GMs
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 (BDTs), 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 (Snowflake, BigQuery, AWS)
- Awareness of AI grounding concepts — RAG, vector databases, and unstructured data pipelines for Agentforce
- Familiarity with Data 360 Activation — segments, activation targets, and triggered flows
- Exposure to data governance and consent management frameworks within Data 360
- Awareness of Salesforce's R&D qualification framework for FDE engagements — understanding the distinction between standard delivery and qualifying R&D activities
- Ability to document structured field observations — customer data schemas, DLO configurations, agent designs — in a form actionable by Product & Engineering teams
- Familiarity with Data 360 Spring '26 features — including Enhanced Retriever Pre-Filters, Notebook AI, Data Kit deployments by Data Space, and Dynamic Retriever Filters
- Solid written communication skills
- Certifications: Salesforce Data 360 Consultant (or actively pursuing), Salesforce Agentforce Specialist
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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