Salesforce
Vice President, Customer Success - AI LABS
$222K–$427K
California - San Francisco · Office - Flexible · Director · Full-time · Posted Oct 20, 2026
- Experience
- 15+ years professional experience; 7+ years dedicated Customer Success leadership; 10+ years enterprise software experience.
- Education
- Bachelor's degree or equivalent relevant experience.
About the job
Leads and scales the Customer Success organization for Salesforce AI Labs enterprise accounts, driving adoption, retention, growth, and customer value.
What you'll do
- Lead, coach, and develop enterprise Customer Success Managers while owning portfolio health and business metrics.
- Build executive relationships and resolve customer escalations, guiding customers through AI-powered transformation and renewals.
- Coordinate with Sales, Product, Support, and strategic partners to shape customer outcomes, product priorities, and scalable success practices.
What they ask for
- 15+ years of experience leading senior consultant teams or a Services/Customer Success function for an enterprise software company.
- 7+ years of Customer Success leadership managing and developing high-performing, matrixed enterprise teams.
- 10+ years of enterprise software experience, including knowledge of complex CRM, data, and IT deployments.
- Proven enterprise customer retention, adoption, and expansion results; executive stakeholder engagement; strong business and financial acumen.
Nice to have
- Experience using AI tools and agentic workflows; Salesforce product knowledge or leadership of SaaS CSM teams.
- Familiarity with Salesforce Customer Success methodologies, such as Signature Success or Accelerator; experience scaling teams or functions.
Pay
$221,900 - $390,300 annually (base salary); $266,800 - $426,900 annually (base salary, select cities within the San Francisco and New York City metropolitan area)
Tools
Agentforce, CRM
AI focus
Leads customer adoption of AI and agentic capabilities, uses AI and data-driven insights to drive customer outcomes, and models AI workflows to improve team productivity.
Model-written summary · the original posting is authoritative