Lmts, Salesforce

Salesforce Salesforce · Enterprise · Indianapolis, Texas - Dallas, IN

Salesforce is seeking a Lead Member of Technical Staff (LMTS) to drive end-to-end engineering ownership for complex, business-critical initiatives within the DET Sales Engineering team. This role involves shaping architecture, influencing engineering standards, mentoring teams, and driving the adoption of modern AI-assisted development practices and agentic workflows. The focus is on building scalable, high-performance Salesforce applications and intelligent agents that power the company's sales and post-sales business processes, leveraging technologies like Agentforce and Data Cloud.

What you'd actually do

  1. Lead end-to-end technical design and delivery of complex Salesforce solutions
  2. Establish and enforce coding standards, review practices, and quality benchmarks
  3. Lead adoption of Agentforce, Data Cloud, and AI-assisted development tools
  4. Design and govern scalable data models for large data volumes (LDV)
  5. Own technical scoping, estimation, and breakdown of complex initiatives

Skills

Required

  • 8+ years of experience in software engineering
  • Strong expertise in Salesforce platform: Apex, LWC, Lightning, Flows, Visualforce
  • Solid experience with Java and object-oriented design principles
  • Deep understanding of Sales Cloud and end-to-end CRM lifecycle
  • Experience with system integrations (REST/SOAP APIs, event-driven patterns)
  • Proficiency with modern development practices (Git, CI/CD, Agile)
  • Experience with Salesforce DX, scratch orgs, and release management processes

Nice to have

  • Experience with Agentforce, Data Cloud, and AI-driven application development
  • Familiarity with agentic development environments (e.g., Cursor, Windsurf, Claude Code)
  • Strong background in Large Data Volume (LDV) architecture and performance tuning
  • Experience with test automation frameworks and quality engineering practices
  • Multiple Salesforce certifications (PD I/II, Application/System Architect)
  • Experience in enterprise-scale SaaS environments

What the JD emphasized

  • end-to-end engineering ownership
  • complex, business-critical initiatives
  • AI-assisted development practices
  • Agentforce
  • AI agents
  • agentic development workflows
  • Salesforce on Salesforce Technology group
  • enterprise-scale solutions
  • Salesforce platform
  • Sales Cloud
  • Large Data Volume (LDV) architecture

Other signals

  • Agentforce
  • AI agents
  • agentic development workflows
  • AI-assisted development tools