Senior 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. The Product Forward Deployed Engineering (FDE) team is Salesforce's zero-to-one engine for new agentic product innovation. The Data 360 FDE embeds directly with our most strategic customers to validate emerging Data 360 capabilities, harden the platform under real-world conditions, and transform every field insight into repeatable patterns that shape the product roadmap. Most technical roles ask you to implement what already exists. This role asks you to define what comes next. You'll work with Data 360 features before they're broadly available, solve data architecture problems before there are playbooks, and build the artifacts that the rest of the field will use for years. Your Impact Research & Field Validation Deploy and stress-test pilot Data 360 features with customers, identifying platform gaps and feeding structured findings back to Technology & Product Conduct feasibility research on novel data unification, activation, and AI-grounding use cases Co-develop hypotheses with Technology & Product and design field experiments to validate them Document and escalate critical engineering issues — including ingestion failures, transform errors, and activation gaps — with detailed evidence packages Participate in beta testing programs for new Data 360 features (e.g., Data Kits, BDTs, Activation-Triggered Flows) Customer Engagement Lead technical engagement of new Data 360 products and features with early adopters Embed directly with customer teams to architect solutions unifying data across CRM, data lakes (Snowflake, BigQuery, AWS S3), and SaaS platforms Run rapid prototyping and POC cycles to validate data ingestion, federation, transformation, and activation use cases Serve as the primary technical advisor and escalation point for your customer portfolio Support customers in building AI-ready data foundations — unified profiles, vector databases for RAG, consent management, and zero-copy integrations Product Acceleration & Feedback Build reusable accelerators, playbooks, and reference architectures that address critical Data 360 product gaps Raise Voice of Customer (VoC) inputs and influence Salesforce Idea Contributions (SICs) with structured field evidence Partner directly with Product Managers and Engineers to influence roadmap priorities Analyze competitive CDP/data platform landscape (Segment, mParticle, Adobe, Informatica) to identify Salesforce's key differentiators Produce thought leadership, Knowledge Articles, 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 — under real customer conditions Contribute to hardening agentic Data 360 products for enterprise scale by identifying platform gaps with ... (truncated, view full listing at source)