Salesforce Technical Architect- Automotive Cloud

Job Category

Customer Success

About Salesforce

What You'll Be Doing & Why It Matters

The Technical Architect — Automotive Cloud successfully designs and manages the delivery of complex, enterprise-grade Salesforce solutions for automotive clients operating across OEMs, authorized dealership networks, commercial fleet operators, and emerging mobility providers. Technologies include Salesforce Automotive Cloud, Vehicle Console, Dealer Management, Fleet Management, Salesforce APIs, Apex/LWC, Agentforce, and DMS/telematics integrations.

You are both a big-picture automotive enterprise thinker and a deep, hands-on problem solver. You take pride in designing systems that withstand high transaction volumes across distributed dealer networks, support complex OEM-to-dealer data hierarchies, and will not fail at critical inflection points such as vehicle launch campaigns, service recall operations, or connected vehicle data ingestion spikes. The solutions you design are built for long-term scalability, growing seamlessly alongside the customer's dealer network footprint and connected vehicle ecosystem.

You have a strong mix of technical depth and enterprise consulting acumen, knowing how to leverage AI development tools like Claude, Cursor, and GitHub Copilot to optimize code quality, accelerate architectural design cycles, and rapidly prototype automotive-specific configurations. As Salesforce leads the agentic era, you play a front-line role in driving AI-First delivery—designing autonomous agents that power intelligent dealer assist, predictive service scheduling, and connected vehicle conversational experiences.

What You'll Actually Be Doing

Stakeholder Collaboration: Collaborate with automotive client stakeholders—CTO, VP Digital, Head of Dealer Operations—to define requirements, deliverables, and manage expectations across enterprise OEM and dealer network engagements.

Solution Architecture: Translate complex automotive business requirements into well-architected Salesforce solutions, identifying opportunities to embed autonomous AI using Agentforce for intelligent dealer assist, predictive service agents, and connected vehicle conversational experiences.

Enterprise AI Architecture: Design and integrate scalable predictive and generative AI solutions within Automotive Cloud environments—optimizing performance, resource consumption, and platform governor limits to support real-time telematics ingestion and high-volume dealer operations.

Technical Design Leadership: Lead design sessions; author TDDs/ADDs aligned to client commercial objectives; leverage AI tools to review architectural assumptions and simulate edge cases such as peak vehicle launch traffic, concurrent DMS sync operations, and large-scale recall campaign orchestration.

AI-First Governance & Code Standards: Provide project oversight championing AI-First delivery using AI tools and agentic evaluation frameworks. Lead code reviews and enforce standards using AI coding assistants to identify governor limit risks and optimize integration performance.

Technical Delivery Management: Manage delivery of custom development, DMS integrations, telematics ingestion pipelines, and vehicle master data migrations—using AI tools to accelerate Apex class generation, mock data creation, and REST integration scaffolding

Performance Evaluation & ROI: Collaborate with automotive customers to develop evaluation frameworks measuring AI performance, dealer satisfaction scores, service retention rates, and business value for specific automotive use cases.

Pre-Sales & Prototyping: Participate in automotive discovery workshops, technical deep-dives, and rapid POC development—using AI tools to prototype Vehicle Console configurations, dealer portal experiences, and Agentforce automotive agents for prospective clients.

Product Team Liaison: Liaise with Salesforce Automotive Cloud product teams to channel client implementation feedback, influence roadmap decisions, and ensure implementations align with platform evolution.

You're Our Person If...

Experience & Platform Depth

• Degree or equivalent proven experience (extracurricular leadership, military, volunteer, work experience)
• 9–14 years CRM/enterprise software; 6+ years Salesforce platform; 3+ years Automotive Cloud
• Expert Automotive Cloud data model: Vehicle Console, Dealer Management, Fleet Management modules
• Expert-level Salesforce platform suite: Sales, Service, Experience, Automotive Cloud, Agentforce architecture
• Scalable solution design for high-volume automotive scenarios with AI-assisted load modeling
• LDV limitations, design patterns, and data distribution risk analysis
• Multi-tier dealer hierarchy sharing: OWD, sharing rules, and permission sets for OEM/dealer data isolation
• Platform security capabilities: TLS, SSL, and data encryption for automotive commercial data

Integration, AI & DevOps

• Expert DMS integration: CDK, Reynolds & Reynolds, Tekion; telematics ingestion platforms; OEM proprietary back-end systems
• Middleware platforms: MuleSoft, Boomi, Azure Integration Services; ETL/ELT frameworks
• Auth patterns: SAML, SSO, OAuth 2.0 — secure configuration for OEM and dealership enterprise identity providers
• DevOps: environment management, Git, Copado/Gearset, multi-sandbox deployment pipelines and release management
• Practical fluency: accelerate delivery using AI tools, document architecture, maintain code quality
• Agentforce design: dealer assist agents, connected vehicle chatbots, predictive service recommendations, intelligent recall orchestration
• Collaboration with customers to develop AI performance and business value evaluation frameworks

Certification Pathway & Continuous Learning

Required certification

Salesforce Administrator

Platform App Builder

Platform Developer I

Agentforce Specialist

Integration Architect

Sharing & Visibility Designer

Preferred certification

System / Application Architect

CRM Analytics Consultant

Leadership Qualities & Core Values

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