AI-First GTM Enablement Lead

Openkrill; United States; Remote; USD 144,000 - 198,000; Full time

Job summary

Databricks is seeking a hands-on, AI-native builder to lead enablement strategy across GTM roles. You will design an engine that personalizes tracks by role, tenure, segment, and industry, and ship apps, agents, and content that scale globally.

In collaboration with regional teams and senior sales leaders, you’ll install rigor, pilot initiatives, and drive measurable improvements in ramp time, productivity, and pipeline influence.

Qualifications

• 7+ years in a GTM role or related field with AI/data platform focus.
• Deep fluency across data, AI, and frontier-model landscape; able to simplify complex concepts.
• Hands-on builder who ships apps, skills, content, and processes with AI.
• Strong cross-functional stakeholder management and executive presence.
• Bias for action to pilot, assess, and iterate.
• Ability to navigate ambiguous, multi-priority situations.
• Advocates and scales culture principles.

Responsibilities

• Own the strategy, plan, process, and engine for enablement across sales roles.
• Build the AI-native system that personalizes tracks by role, tenure, and market.
• Develop apps, agents, content, and automated processes using AI.
• Partner with teams creating enablement to plug into your engine.
• Coordinate with regional teams to pilot and localize outputs.
• Install operating rhythm, cadence, metrics, and reviews; loop field feedback.
• Influence senior leaders on model priorities.

Skills

GTM experience

AI fluency

Hands-on builder

Cross-functional leadership

Bias for action

Ambiguity navigation

Culture alignment

Job description

Databricks is seeking a hands-on, AI-native builder to lead enablement strategy across GTM roles. You will design an engine that personalizes tracks by role, tenure, segment, and industry, and ship apps, agents, and content that scale globally.

In collaboration with regional teams and senior sales leaders, you’ll install rigor, pilot initiatives, and drive measurable improvements in ramp time, productivity, and pipeline influence.