Expert Salesforce
Ile de France, Paris (75000)
Originellement mis en ligne le 5 novembre 2025 - Remontée le 20 novembre 2025 par Marie Calvert (+ d'offres)
DGTL PerformanceType de contrat :CDI
Métier :Développeur informatique
Niveau d'étude requis :Aucun
Expérience :4 ans minimum
Type d'entreprise :Autre type d'entreprise (client final)
Localisation :Ile de France, Paris (75000)
Télétravail :Pas de télétravail
Poste à pourvoir
-Partner with the Salesforce Engagement Lead to act as the expert on Salesforce AI capabilities, guiding entities through the evaluation, validation, and decision-making process for AI-enabled solutions.
-Define and socialize the adoption roadmap for AI features across Sales Cloud, Service Cloud & MKT Cloud, and related Salesforce AI offerings; tailor recommendations to client, distribution, and operations needs.
-Support AI-driven implementations: requirements gathering, solution design, configuration/customization, data migration, integrations, testing, training, go-live, and post-go-live optimization.
-Advise on enterprise architecture: data model, data quality, data governance, security, privacy, and regulatory compliance (GDPR and local requirements); ensure alignment with risk and audit controls.
-Collaborate with IT and vendor to design scalable, reusable accelerators (AI-ready data models, flows, Lightning components, and dashboards) and establish a robust DevOps and governance framework (CI/CD, sandbox strategy, change control).
-Drive change management and enablement: create and deliver training, best practices, playbooks, and expertise sharing across regions; monitor user adoption and value realization.
-Manage stakeholder expectations, budgets, and vendor relationships; track benefits, KPIs, and ROI of AI deployments; ensure timely issue resolution and risk mitigation.
-Ensure a customer-centric, compliant, and ethically responsible deployment of AI in client journeys, distribution channels, and operational workflows.
-Senior expertise in Salesforce with a track record of delivering enterprise-scale, multi-entity deployments in a global context; proven expertise specifically using Salesforce AI capabilities.
-Prior consulting or advisory expertise working with a Salesforce Engagement Lead or similar governance/risk framework; comfortable operating in matrix organizations and across cultures.
-Demonstrated expertise to translate business strategy into actionable Salesforce AI solutions, with measurable outcomes (adoption, efficiency, revenue lift, or cost reduction).
-Salesforce platform depth: Sales Cloud, Service Cloud, Marketing Cloud, strong expertise with Einstein AI capabilities / Agentforce.
-Expertise in development and customization: Apex, Lightning Web Components (LWC), Flows, Process Builder, SOQL/SOSL, custom objects, validation rules, and security models.
-AI and analytics: integration and operationalization of Salesforce AI features; crafting data-driven UX with AI-driven decisions; ability to design dashboards and reports that track business value.
-Expertise in Integrations and data: REST/SOAP APIs, Mulesoft or other iPaaS, data migration, data quality, deduplication, data governance, and data lineage concepts.
-Expertise in Architecture and governance: multi-entity data architecture, security model, role hierarchies, sharing rules, data privacy (GDPR/local), and Salesforce Shield where applicable.
-Expertise in DevOps and delivery: Salesforce DX, Git, CI/CD, automated testing, release management, sandbox strategy, and change control processes.
-Domain expertise: deep understanding of cutomer & distributor journeys -Other tools: familiarity with ERP integrations, data warehouses, or enterprise data platforms is a plus.
-Collaborative mindset and teamwork: excels in cross-functional environments, contributes to group goals, and is receptive to feedback from peers and mentors.
-Clear and proactive communication: communicates clearly and concisely with colleagues, asks clarifying questions when needed, and shares progress in a transparent manner.
-Growth mindset and learning orientation: eager to learn new Salesforce AI capabilities, tools, and business processes; readily applies new approach to tasks.
-Structured problem-solving: analyzes problems with a logical approach, breaks down tasks into manageable steps, and suggests practical next actions with guidance when needed.
-Define and socialize the adoption roadmap for AI features across Sales Cloud, Service Cloud & MKT Cloud, and related Salesforce AI offerings; tailor recommendations to client, distribution, and operations needs.
-Support AI-driven implementations: requirements gathering, solution design, configuration/customization, data migration, integrations, testing, training, go-live, and post-go-live optimization.
-Advise on enterprise architecture: data model, data quality, data governance, security, privacy, and regulatory compliance (GDPR and local requirements); ensure alignment with risk and audit controls.
-Collaborate with IT and vendor to design scalable, reusable accelerators (AI-ready data models, flows, Lightning components, and dashboards) and establish a robust DevOps and governance framework (CI/CD, sandbox strategy, change control).
-Drive change management and enablement: create and deliver training, best practices, playbooks, and expertise sharing across regions; monitor user adoption and value realization.
-Manage stakeholder expectations, budgets, and vendor relationships; track benefits, KPIs, and ROI of AI deployments; ensure timely issue resolution and risk mitigation.
-Ensure a customer-centric, compliant, and ethically responsible deployment of AI in client journeys, distribution channels, and operational workflows.
-Senior expertise in Salesforce with a track record of delivering enterprise-scale, multi-entity deployments in a global context; proven expertise specifically using Salesforce AI capabilities.
-Prior consulting or advisory expertise working with a Salesforce Engagement Lead or similar governance/risk framework; comfortable operating in matrix organizations and across cultures.
-Demonstrated expertise to translate business strategy into actionable Salesforce AI solutions, with measurable outcomes (adoption, efficiency, revenue lift, or cost reduction).
-Salesforce platform depth: Sales Cloud, Service Cloud, Marketing Cloud, strong expertise with Einstein AI capabilities / Agentforce.
-Expertise in development and customization: Apex, Lightning Web Components (LWC), Flows, Process Builder, SOQL/SOSL, custom objects, validation rules, and security models.
-AI and analytics: integration and operationalization of Salesforce AI features; crafting data-driven UX with AI-driven decisions; ability to design dashboards and reports that track business value.
-Expertise in Integrations and data: REST/SOAP APIs, Mulesoft or other iPaaS, data migration, data quality, deduplication, data governance, and data lineage concepts.
-Expertise in Architecture and governance: multi-entity data architecture, security model, role hierarchies, sharing rules, data privacy (GDPR/local), and Salesforce Shield where applicable.
-Expertise in DevOps and delivery: Salesforce DX, Git, CI/CD, automated testing, release management, sandbox strategy, and change control processes.
-Domain expertise: deep understanding of cutomer & distributor journeys -Other tools: familiarity with ERP integrations, data warehouses, or enterprise data platforms is a plus.
-Collaborative mindset and teamwork: excels in cross-functional environments, contributes to group goals, and is receptive to feedback from peers and mentors.
-Clear and proactive communication: communicates clearly and concisely with colleagues, asks clarifying questions when needed, and shares progress in a transparent manner.
-Growth mindset and learning orientation: eager to learn new Salesforce AI capabilities, tools, and business processes; readily applies new approach to tasks.
-Structured problem-solving: analyzes problems with a logical approach, breaks down tasks into manageable steps, and suggests practical next actions with guidance when needed.
Profil recherché
Salesforce DX, Git, CI/CD
GDPR, devops
Einstein AI capabilities / Agentforce
AI features across Sales Cloud, Service Cloud & MKT Cloud
REST/SOAP APIs, Mulesoft
GDPR, devops
Einstein AI capabilities / Agentforce
AI features across Sales Cloud, Service Cloud & MKT Cloud
REST/SOAP APIs, Mulesoft
Description de la société
DGTL / Signe + est le facilitateur pour tous les acteurs qui recherchent des ressources ou des missions DATA.
Spécialiste du marché Data et BI, nous intervenons dans toute la France comme à l'étranger ; en sous-traitance, pré-embauche, recrutement, portage commercial, portage salarial, etc.
Depuis 2018, nous accompagnons nos clients avec proximité, juste prix et préoccupation éthique de tous les instants.
https://www.dgtl-performance.com
Spécialiste du marché Data et BI, nous intervenons dans toute la France comme à l'étranger ; en sous-traitance, pré-embauche, recrutement, portage commercial, portage salarial, etc.
Depuis 2018, nous accompagnons nos clients avec proximité, juste prix et préoccupation éthique de tous les instants.
https://www.dgtl-performance.com