Lead GTM Enablement & Scale Architect, Product Enablement (AI)

Location: United States

Salary: $174,200–$239,600, $185,100–$254,550, $196,000–$269,500, or $217,800–$299,400 USD annually, depending on pay zone

Company

Databricks is a Data and AI company providing a unified platform for data engineering, analytics, AI applications, agents, and operational data.

What you will do

• Own the global GTM enablement strategy for a Databricks product area across Field Engineering and Partner Technical Sales.
• Build scalable technical enablement assets, including deep dives, competitive talk tracks, hands-on labs, demo environments, role-plays, and self-paced learning paths.
• Use AI, content pipelines, and automation to accelerate enablement production and create tools for field teams.
• Partner with Product and Engineering leadership to translate roadmaps and upcoming features into field-ready assets.
• Develop scalable demo environments and POC repositories designed for rapid customization and technical proof-of-concept delivery.
• Capture field friction, objections, and lost-deal insights, then use them to improve product positioning and field readiness.

Requirements

• 8+ years of experience in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement.
• Direct experience with data and AI platforms, distributed systems, or cloud data infrastructure.
• Hands-on knowledge of modern data and AI platforms and depth in at least one Databricks product domain.
• Experience running POCs, handling live objections, defending technical positions, and working directly with Product and Engineering teams.
• Ability to build enablement programs from scratch and scale them for a global field organization.
• Knowledge of Lakehouse architecture, Delta Lake, vector databases, and AI/ML serving patterns.

Nice to have

• Experience at a high-growth infrastructure company during a major product launch.
• Background in both pre-sales and post-sales technical roles.
• Hands-on experience with Databricks or competing platforms.
• Experience building AI applications using RAG patterns or agent architectures.
• Experience using AI to automate content creation, build internal tools, or accelerate demo development.

Culture & Benefits

• Work with a global field organization and cross-functional Product and Engineering teams.
• Focus on builder-first, scalable, and automation-oriented enablement.
• Compensation may include an annual performance bonus, equity, and regional benefits.
• Benefits and perks are provided according to the employee's region.
• Inclusive hiring practices and equal employment opportunity standards.