Sales Enablement Manager

Position Summary

The Sales Enablement Manager converts product, pricing, formulary, process, and systems change into field execution that accelerates revenue, strengthens customer confidence, and reduces operational risk. This role owns the sales enablement operating rhythm, product-fluent guidance, cascade communications, adoption measurement, field reinforcement, and cross-functional translation across Sales Operations, Marketing, Product, and commercial leadership. AI is a force multiplier, used to increase speed, scale, quality, personalization, and decision-making while maintaining rigorous human judgment and compliance controls. In Empower's hyper-growth, highly regulated 503A/503B environment, the manager builds trusted, repeatable mechanisms that keep sellers current and accountable. Success requires P80-P90 talent: strategic thinking, disciplined execution, learning agility, strong product curiosity, and the ability to translate complex change into clear actions that improve seller performance and customer outcomes with enterprise-level consistency and sustained commercial discipline.

Responsibilities

• Enablement Architecture: Build and continuously improve the sales enablement operating system that converts business priorities into clear field actions. Define intake, prioritization, communication, training, reinforcement, and measurement workflows across product, pricing, formulary, process, and systems changes. Use AI to synthesize inputs, identify gaps, tailor content by customer segment, and accelerate execution while applying human review and governance appropriate to Empower's regulated 503A/503B commercial environment and growth expectations.
• Field Alignment: Translate enterprise priorities into customer-segment-specific direction that sellers can apply immediately in live conversations. Partner with sales leadership to understand performance barriers, field workflows, and adoption needs, then shape enablement plans that improve clarity, consistency, and speed. Use AI to analyze feedback, surface recurring friction, and personalize reinforcement at scale while preserving approved messaging, appropriate escalations, and compliance controls.