Vapi

Vapi

Agent Strategist - SF

San Francisco · Vp

Sponsorship not specifiedDetected 121 days ago
Machine LearningStakeholder ManagementCRMAccount ManagementCustomer SuccessCadenceOrganizational Skills

About the role

  • Most phone systems trap callers in menus and scripts.

Responsibilities

  • Take ownership of a portfolio of enterprise accounts and build trusted relationships with key stakeholders.
  • Deliver structured QBRs for Tier 1 and Tier 2 accounts with executive-ready reporting.
  • Drive renewal conversations beginning 120 days out and partner with AEs on commercial strategy.
  • As Vapi scales its enterprise footprint, we need strong post-sales ownership to drive retention, expansion, and long-term customer value.
  • Build the human interface for every business

Requirements

  • 5+ years in customer success, technical account management, or solutions consulting at a B2B SaaS or API-first company.
  • Experience managing a portfolio of enterprise accounts ($100K+ ACV) with complex deployments and integrations.
  • Strong stakeholder management skills with the ability to engage VP and C-level executives.

Nice to have

  • Experience in voice, conversational AI, telephony, contact center technology, or AI/ML products.

Compensation

  • Real stake: We offer a competitive salary and excellent equity ownership

Benefits

  • Real stake: We offer a competitive salary and excellent equity ownership
  • Comprehensive health coverage: medical, dental, and vision plans
  • Flexible time off: take what you need
  • More: catered meals, transportation, gym, and a $10k annual L&D budget
  • Audit current health metrics, renewal timelines, usage patterns, and engagement cadence.
  • Implement proactive health monitoring using usage data, stakeholder engagement, and sentiment signals.

Company info

  • Amazon Ring, ServiceTitan, New York Life, Intuit, Kavak, and thousands more, from YC startups to the Fortune 500
  • 70% of the company are previous founders

This listing is sourced directly from Vapi's careers page and normalized into a canonical job model.