Revenue Execution Lead
New
S
Spring HealthHealth Tech
This is a full-time position that is fully remote.Full-TimeLead
Salary$135,000 - $159,500
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Job Details
- Experience
- 10+ years
- Required Skills
- Project ManagementArtificial IntelligenceCoachingCRM
Requirements
- 10+ years of experience in revenue enablement, sales training, sales leadership, customer-facing roles, or L&D.
- Documented experience in quota-carrying sales, revenue leadership, or customer success/account management leadership.
- Strong business acumen with the ability to link enablement work to commercial and customer outcomes.
- Exceptional live facilitation skills, including the ability to manage group energy and simplify complex concepts.
- Demonstrated ability to operate in ambiguity and build foundational programs from a blank page.
- Strong coaching instincts with the ability to provide clear, actionable feedback.
- Experience partnering with senior revenue leaders and frontline managers.
- Analytical capability to use qualitative and quantitative data to diagnose gaps and evaluate effectiveness.
- Eagerness to leverage AI responsibly for content generation, feedback loops, and practice scenarios.
- Strong project management and communication skills to execute programs effectively.
Responsibilities
- Build and deliver a practical field-training system that improves how AEs, CSMs, AMs, and BDRs learn, practice, and execute key role motions.
- Facilitate live trainings, workshops, role-plays, and manager sessions with high clarity and credibility.
- Partner with Revenue and Product Marketing leaders to diagnose execution gaps across the customer lifecycle.
- Translate field priorities into simple, repeatable, and measurable training programs using adult-learning principles.
- Create formal coaching and mentorship programs to develop talent and foster peer-learning loops.
- Build role-specific learning paths for Revenue audiences and leader-facing curricula for managers.
- Analyze performance data, call recordings, and feedback to identify improvement areas and adjust training.
- Implement AI-driven tools and methodologies to enhance training speed, personalization, and measurement.
- Develop scalable enablement infrastructure, including facilitator guides, coaching rubrics, and practice scenarios.
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