Drimva

Databricks

GTM Product Enablement Lead

$111K–$191K

United States +1 · Remote · Full-time · Posted Oct 6, 2026

Location
United States
Remote - Georgia
Experience
7+ years.

About the job

Build and lead scalable product and alliance sales enablement that helps Databricks sellers explain and sell new offerings, with measurable impact on revenue and deal outcomes.

What you'll do

  • Own the enablement strategy, programs, operating cadence, and performance metrics across a 6–12 month horizon.
  • Create launch-ready positioning, demos, sales plays, competitive readiness, and deal support; enable co-sell and strategic alliance motions.
  • Build and distribute enablement at scale using AI pipelines, automation, LMS, and sales tools; track adoption and feed field insights back into programs.

What they ask for

  • 7+ years in sales enablement, product marketing, or a GTM or alliances role for a technical data, AI, or cloud platform.
  • Deep fluency across data, AI, and the frontier-model landscape, with the ability to explain complex technical concepts to sellers.
  • Hands-on AI-native building experience, plus experience leading high-impact programs across motions and seller roles at scale.
  • Expertise in multiple sales methodologies and ability to advise sales leaders; strong cross-functional stakeholder management and executive presence.

Nice to have

  • Value-selling methodology certification (Force Management / Command of the Message).
  • Experience enabling a strategic alliance or cloud co-sell motion; experience at a high-growth data or AI infrastructure company during a major product launch; or experience building enablement or internal tools with AI.

Pay

$139,000 — $191,050 USD (base salary); $125,000 — $171,950 USD (base salary); $118,100 — $162,350 USD (base salary); $111,200 — $152,900 USD (base salary)

Tools

AI, LMS

AI focus

Use AI to build and ship enablement content, skills, apps, processes, pipelines, and automation; AI enablement or internal tools may include content pipelines, agents, and AI role-plays.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)