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Job Category
Sales
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 Data 360 Solution Engineer/Architect is a customer-facing role with one goal: helping our customers become a true Agentic Enterprise. As our Subject Matter Expert (SME) for Data 360 — Salesforce's flagship hyperscale data platform — you'll serve as a strategic technical advisor across the full customer lifecycle, from presales through production activation. Based on your background, your focus may span Analytics (Tableau), Marketing Cloud (MC), or Data 360 integrations with platforms like Google Cloud Platform (GCP), Databricks, or Snowflake.
Responsibilities:
Pre-Sales:
- Partner with Account Executives to develop Analytics, Marketing, and Data Platform use cases grounded in repeatable, proven architectures.
- Contribute to workshops, Proof of Concepts (POCs), and Proof of Technologies (POTs) that showcase the power of our platform for customer-specific use cases.
- Work with core Technical Architects and global AI & Data teams to define data architectures, product and licensing recommendations, and credit consumption estimates.
- Collaborate with Salesforce product teams to share Voice of the Customer feedback and inform roadmap priorities.
Post-Sales:
- Guide customers from successful POC to full production deployment, partnering with implementation partners, Salesforce Professional Services, or the customer's own Center of Excellence.
- Monitor credit consumption in coordination with Consumption Leads and Data 360 Account Executives (AEs), providing optimization guidance as needed.
- Develop and deliver one-to-many enablement motions (e.g., webinars, office hours) to scale knowledge and best practices.
- Manage strategic handoff to internal teams — including Field Delivery Experts, Professional Services, and Customer Success Managers — at the appropriate time.
Required Qualifications:
- 5+ years of experience in customer-facing solutioning for Data, Analytics, AI, Marketing, or CRM (a combination of these is fine).
- Deep knowledge of Data 360 and the Salesforce Agentforce product suite, including data modeling, ingestion, and identity resolution.
- Strong understanding of data integration patterns, APIs, data governance principles, and industry-specific use cases.
- Excellent communication and stakeholder management skills, with the ability to build trust across both technical and business audiences. Fluency in English and French required.
Preferred Qualifications:
- Experience with Big Data processing, Data Architecture and Modeling, and modern data lakehouse concepts; familiarity with at least one of AWS, Microsoft Azure, or GCP, and platforms like Databricks or Snowflake.
- Salesforce Agentblazer Legend Status (which includes AI Specialist certification) and Data 360 Consultant certification.
- Experience with AI concepts including Large Language Models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and agentic frameworks and orchestration.
- Track record of delivering impactful assets, demonstrations, and prototypes in complex, pressurized customer environments.
Présentation du poste :
Le/La Data 360 Solution Engineer/Architect est un rôle orienté client avec un seul objectif : aider nos clients à devenir une véritable Agentic Enterprise. En tant qu'Expert(e) en la Matière (SME) pour Data 360 — la plateforme de données hyperscale phare de Salesforce — vous jouerez le rôle de conseiller(ère) technique stratégique tout au long du cycle de vie client, de la prévente jusqu'à l'activation en production. Selon votre profil, votre domaine de prédilection pourra couvrir l'Analytics (Tableau), le Marketing Cloud (MC), ou les intégrations Data 360 avec des plateformes telles que Google Cloud Platform (GCP), Databricks ou Snowflake.
Responsabilités :
Prévente :
- Collaborer avec les Account Executives pour développer des cas d'usage Analytics, Marketing et Data Platform, ancrés dans des architectures éprouvées et reproductibles.
- Contribuer aux ateliers, Preuves de Concept (POCs) et Preuves de Technologie (POTs) qui démontrent la puissance de notre plateforme pour les cas d'usage spécifiques des clients.
- Travailler avec les Architectes Techniques et les équipes mondiales AI & Data pour définir les architectures de données, les recommandations produits et licences, ainsi que les estimations de consommation de crédits.
- Collaborer avec les équipes produit Salesforce pour partager les retours clients (Voice of the Customer) et contribuer à la définition des priorités de la feuille de route.
Post-Vente :
- Accompagner les clients du POC réussi jusqu'au déploiement complet en production, en partenariat avec les partenaires d'implémentation, Salesforce Professional Services, ou le Centre d'Excellence du client.
- Surveiller la consommation de crédits en coordination avec les Consumption Leads et les Data 360 Account Executives (AEs), en fournissant des recommandations d'optimisation selon les besoins.
- Développer et animer des actions d'enablement à grande échelle (ex. : webinaires, permanences) pour diffuser les connaissances et les bonnes pratiques.
- Gérer le transfert stratégique vers les équipes internes — notamment les Field Delivery Experts, Professional Services et Customer Success Managers — au moment opportun.
Qualifications Requises :
- 5 ans ou plus d'expérience dans des missions orientées client en Data, Analytics, IA, Marketing ou CRM (une combinaison de ces domaines est acceptée).
- Solide maîtrise de Data 360 et de la suite produit Salesforce Agentforce, incluant la modélisation des données, l'ingestion et la résolution d'identité.
- Bonne compréhension des modèles d'intégration de données, des API, des principes de gouvernance des données et des cas d'usage spécifiques aux industries.
- Excellentes compétences en communication et en gestion des parties prenantes, avec la capacité à instaurer la confiance auprès d'audiences techniques et métier. La maîtrise du français et de l'anglais est requise.
Qualifications Préférées :
- Expérience en traitement de Big Data, Architecture et Modélisation des Données, et concepts modernes de data lakehouse ; familiarité avec au moins l'un des environnements AWS, Microsoft Azure ou GCP, et des plateformes comme Databricks ou Snowflake.
- Certification Salesforce Agentblazer Legend Status (incluant la certification AI Specialist) et certification Data 360 Consultant.
- Expérience des concepts d'IA, notamment les Grands Modèles de Langage (LLMs), la génération augmentée par récupération (RAG), les bases de données vectorielles, le prompt engineering, ainsi que les frameworks agentiques et l'orchestration multi-agents.
- Expérience avérée dans la création d'assets percutants, de démonstrations et de prototypes dans des environnements clients complexes et exigeants.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
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