Analyste Salesforce concevant l’architecture organique, les tâches techniques et configurations CRM pour Xideral. Soutien aux développeurs, qualité du code, sécurité et solutions .NET/Cloud.
About the role
- Salesforce Solution Engineer driving pre-sales efforts and technical excellence at NeuraFlash, integrating AI and Salesforce solutions. Join a high-flying Salesforce partner leading innovation in AI-powered technologies.
Responsibilities
- Practice Leadership: Lead Revenue Cloud/Billing & AI Sales within the Solutions Engineering practice. You will develop strategies, mentor team members, and establish best-in-class pre-sales processes.
- Go-to-Market Execution: Drive go-to-market efforts by positioning the firm as a premier partner for modern Salesforce Revenue Cloud Advanced/Billing, Sales Cloud, and Agentforce autonomous AI deployments.
- Pre-Sales Excellence: Lead deep-dive pre-sales discovery sessions, gather complex billing/monetization requirements, and deliver compelling, value-driven demonstrations showcasing modern Revenue Cloud capabilities (including Salesforce CPQ, Subscription Management, and multi-attribute pricing engines).
- AI & Sales Transformation: Architect and demonstrate comprehensive deal cycles that transcend core CPQ, incorporating Sales Cloud and Agentforce Sales/SDR agents to showcase how autonomous AI can automate pipeline generation, qualify leads, and streamline the entire quoting lifecycle.
- Scoping & SOWs: Develop and deliver highly technical proposals, solution architectures, and Statements of Work (SOWs), ensuring scoping accuracy and market competitiveness.
- Cross-Functional Bridge: Act as the technical liaison between sales, delivery, and product teams—streamlining customer sales responses, product improvements, and solution designs.
- Product Innovation: Support product innovation by providing real-world field feedback to Salesforce product managers regarding Revenue Cloud features, Sales Cloud enhancements, and Agentforce behavior.
- Continuous Learning: Stay at the absolute forefront of Salesforce ecosystem innovations, product releases, and next-generation autonomous AI capabilities to drive creative solutions for our clients.
Requirements
- 5+ years of experience selling, architecting, or implementing modern Quote-to-Cash or billing solutions, specifically Salesforce Revenue Cloud (CPQ & Subscription Management) or equivalent enterprise platforms (e.g., Conga, Oracle CPQ, Zuora).
- 2+ years of Pre-Sales / Solutions Engineering experience, including leading discovery, designing complex architecture blueprints, and responding to technical RFPs/RFIs.
- Deep Knowledge of Salesforce Core: Proven expertise across Sales Cloud (Pipeline Management, Forecasting) and the underlying Core Salesforce platform architecture.
- AI & Automation Familiarity: Experience or deep familiarity with Agentforce (or Salesforce Einstein 1 Platform), including configuring prompt templates, actions, and autonomous guardrails for SDR/Sales use cases is highly preferred.
- Education: BS in Computer Science, Information Systems, Engineering, or a related technical/business field (or equivalent practical experience).
Benefits
- Competitive Compensation: Enjoy a strong base salary, performance incentives, and a comprehensive enterprise benefits package.
- Lead and Shape the Practice: Influence the strategy, execution, and customer success metrics of a high-growth Revenue Cloud and AI sales division.
- Work on the Cutting Edge: Demonstrate the absolute latest in Salesforce innovation, helping enterprises adopt autonomous AI (Agentforce) alongside modern monetization engines.
- Limitless Growth: Work alongside top-tier AI and Salesforce professionals in a dynamic culture that prioritizes continuous learning and career acceleration.
- Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done.
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