Vp, Software Engineering

Salesforce Salesforce · Enterprise · San Francisco, CA

Salesforce is seeking a Vice President of Engineering to lead the next evolution of one of their flagship cloud platforms, an end-to-end enterprise platform that unifies critical business processes. This leader will own the technical vision, architecture, and execution for their next-generation intelligent platform, focusing on AI-driven configuration, constraint modeling, orchestration, and industry extensibility. The role involves leading a global team of engineers and architects, fostering innovation, and collaborating with various teams to deliver customer-centered solutions.

What you'd actually do

  1. Lead the design, architecture, and delivery of high-quality, secure, and scalable enterprise software systems supporting complex business processes.
  2. Recruit, develop, and retain exceptional engineering talent. Foster a culture of innovation, accountability, and continuous learning across globally distributed teams.
  3. Lead the evolution of our platform, blending the best of Salesforce Core, AI/Agentic systems, and Industry Clouds to deliver a unified customer experience.
  4. Implement best-in-class engineering management practices, ensuring predictable delivery, operational excellence, and engineering productivity at scale.
  5. Partner closely with Product, Design, Industry, Commerce, Data Cloud, and AI teams to deliver cohesive, customer-centered solutions.

Skills

Required

  • 20+ years experience
  • 10+ years of experience as a hands-on software development manager
  • 6+ years engineering leadership of delivering world class software products/features
  • 3+ years in cross-functional 2nd or 3rd level management roles
  • Experience in building strong, successful technical teams and coaching and mentoring individuals along their career paths
  • Ability to represent operational issues to senior leadership and dive deep into the technical details when required
  • Ability to prioritize in a rapidly changing environment; communicate clearly to steer the strongly talented team to deliver a high quality service
  • Bachelor's or Master's in Computer Science or Engineering

Nice to have

  • AI and ML Engineering experience

What the JD emphasized

  • AI CRM
  • agentic era
  • AI-driven configuration
  • constraint modeling
  • orchestration
  • industry extensibility
  • AI/Agentic systems

Other signals

  • AI CRM
  • agentic era
  • AI-driven configuration
  • constraint modeling
  • orchestration
  • industry extensibility
  • AI/Agentic systems