Salesforce Consultant (Data 360)

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering 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. About the Role The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. As a Data 360 FDE Associate, you will embed directly with our most strategic customers to validate emerging Data 360 capabilities, support platform hardening under real-world conditions, and help transform every field insight into repeatable patterns that shape the product roadmap. The ideal candidate is curious, eager to learn, and energized by ambiguity. You don't need to have all the answers — but you bring rigour, a bias for action, and a genuine passion for data platforms and AI. Your Impact 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 (e.g., Data Kits, BDTs, Activation-Triggered Flows, zero-copy integrations) 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 — including product gap analysis, experimental use case feasibility, feasibility prototyping, and non-production R&D activities 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 — including Data Kits, Batch Data Transforms, Dynamic Retriever Filters, and Notebook AI 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 Required Qualifications 2–3 years of hands-on experience in enterprise data platforms, SaaS environments, or Salesforce Professional Servi ... (truncated, view full listing at source)