Drimva

Salesforce

SVP, General Manager OU Lead - TMT/CBS (Professional Services)

$393K–$487K

Illinois - Chicago +8 · Office - Flexible · Manager · Full-time · Posted Aug 28, 2026

Location
Illinois - Chicago
New York - New York
Massachusetts - Boston
Washington - Seattle
Texas - Dallas
California - Irvine
Georgia - Atlanta
Virginia - Mclean
California - San Francisco
Experience
15+ years in Services leadership and 15+ years of work experience; 5+ years at Salesforce or in the Salesforce ecosystem with direct P&L responsibility.
Education
Degree or equivalent relevant experience required.

About the job

Leads an AMER Professional Services operating unit for an industry segment, driving its strategy, financial performance, customer outcomes, and shift to AI-native service delivery.

What you'll do

  • Set industry and account strategy and grow the operating unit’s bookings, revenue, margin, and customer success.
  • Embed agentic and generative AI into service offerings, delivery methods, staffing, and operating models.
  • Build and lead teams, collaborate across Salesforce functions, and develop scalable industry-specific services and programs.

What they ask for

  • 15+ years in Services leadership, including quota attainment and responsibility for an annual business portfolio of $250M+.
  • 15+ years of work experience with deep industry expertise.
  • 5+ years at Salesforce or in the Salesforce ecosystem with direct P&L responsibility.
  • Degree or equivalent relevant experience required.

Nice to have

  • 15+ years of experience in a Product/Program Management role.
  • Direct experience designing or scaling AI-driven or AI Native service delivery models.

Pay

$393,000 - $487,000 USD base salary annually; $393,000 - $487,000 USD base salary per year in California, New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC.

Tools

generative AI, AI agents, automation platforms, Cloud Computing, CRM

AI focus

Leads the transition to AI-native services, embedding agentic and generative AI into delivery methods, staffing, offerings, and business transformation; also requires hands-on familiarity with AI and agentic technologies.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)