Revenue Enablement Leader, Global GTM Growth

Plaid

United States

Remote

USD 180,000 - 280,000

Full time

14 days+
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Job summary

Plaid is seeking a senior leader to head Revenue Enablement and scale enablement across all customer-facing teams. You will architect the long-term enablement strategy, build onboarding and ramp programs, and partner with Marketing, Product, and Revenue Ops to accelerate time-to-productivity and improve field readiness.

You will lead the development of scalable playbooks, KPI-driven cadences, and AI-enabled workflows to boost coaching quality, performance, and forecast accuracy in a fast-moving

Qualifications

  • 10+ years in Revenue Enablement, Sales Enablement, Revenue Productivity, GTM Strategy, or related functions within high-growth technology companies
  • Experience building and scaling enablement programs for complex, multi-product B2B organizations
  • Demonstrated success partnering with executive stakeholders across Sales, Product Marketing, Revenue Operations, Finance, and Product
  • Strong understanding of modern enterprise sales motions, including mid-market and strategic/enterprise GTM models
  • Proven experience building onboarding, manager enablement, and field readiness programs at scale
  • Exceptional program management and organizational leadership skills
  • Strong analytical mindset with experience using metrics and performance data to drive decisions and measure impact
  • Excellent communication and facilitation skills, with the ability to influence at all levels of the organization
  • Experience implementing or scaling enablement technologies, LMS platforms, knowledge systems, and AI-enabled workflows
  • Ability to thrive in fast-moving environments with evolving priorities and ambiguity
  • Passion for developing people and building high-performing teams

Responsibilities

  • Define and execute Plaid’s long-term Revenue Enablement strategy across all customer-facing functions
  • Build scalable onboarding and ramp programs that accelerate time-to-productivity for new hires globally
  • Develop manager enablement programs that improve coaching quality, inspection rigor, and team performance
  • Partner with Product Marketing and Product teams to operationalize product launches, messaging, competitive positioning, and field readiness
  • Create and maintain repeatable sales methodologies, playbooks, discovery frameworks, and deal execution best practices
  • Drive ongoing skills development across enterprise sales, consultative selling, technical solutioning, negotiation, and executive communication
  • Build enablement infrastructure and operating systems, including content management, LMS strategy, certifications, AI-assisted learning workflows, and knowledge distribution
  • Establish a measurable enablement operating cadence with clear KPIs tied to ramp time, attainment, productivity, retention, and forecast accuracy
  • Partner closely with Revenue Operations to identify performance gaps and prioritize enablement investments based on business impact
  • Develop scalable communication strategies that improve alignment and reduce noise across the GTM organization
  • Lead and grow a high-performing enablement team while fostering a culture of continuous learning and operational excellence
  • Serve as a strategic advisor to Revenue leadership on organizational readiness, productivity, and execution effectiveness

Skills

Revenue Enablement
GTM Strategy
Sales Enablement
Program Management
Executive Stakeholder Management
Analytics
Communication

Tools

LMS platforms
Knowledge systems
AI-enabled workflows

Job description

Plaid is seeking a senior leader to head Revenue Enablement and scale enablement across all customer-facing teams. You will architect the long-term enablement strategy, build onboarding and ramp programs, and partner with Marketing, Product, and Revenue Ops to accelerate time-to-productivity and improve field readiness.

You will lead the development of scalable playbooks, KPI-driven cadences, and AI-enabled workflows to boost coaching quality, performance, and forecast accuracy in a fast-moving

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