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Databricks
updated 18 days ago

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

174 200 - 299 400$
Work type
fulltime
Grade
lead
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

Text:
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TL;DR
Lead GTM Enablement & Scale Architect (AI/Data Platforms): Designing and executing the global enablement strategy to scale product adoption across the field engineering organization with an accent on translating product capabilities into customer outcomes. Focus on building AI-powered content pipelines, architecting scalable demo environments, and establishing tight feedback loops between the field and product teams.

Location: Must be based in the United States

Salary: $174,200 — $299,400 USD

Company

Databricks is a data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Own the global GTM and enablement strategy for specific product areas for Field Engineering and Partner Technical Sales.
  • Build and ship enablement at scale using AI, including technical deep dives, competitive talk tracks, and demo environments.
  • Architect scalable demo environments and POC repositories to foster a 'builder-first' SA culture.
  • Collaborate with Product and Engineering leadership to translate upcoming features into field-ready assets before GA.
  • Establish a systematic product feedback loop to channel field friction and objections back to Product teams.
  • Design competitive narratives and "why Databricks" stories for customer executive briefings.

Requirements

  • 8+ years in solutions architecture, technical pre-sales, developer relations, or technical enablement.
  • Must be based in the United States.
  • Hands-on expertise in data and AI platforms, distributed systems, or cloud data infrastructure.
  • Proven ability to build 0-to-1 enablement programs from scratch for global teams.
  • Experience working as a peer with Product and Engineering leadership.
  • Proficiency with Lakehouse architecture, Delta Lake, and AI/ML serving patterns.

Nice to have

  • Experience at high-growth infrastructure companies during major product launches.
  • Background in both pre-sales and post-sales technical roles.
  • Direct hands-on experience with Databricks or competitive platforms.
  • Experience building AI applications (e.g., RAG patterns, agent architectures).

Culture & Benefits

  • Comprehensive benefits and perks tailored to the region.
  • Culture focused on diversity, inclusion, and equal opportunity employment.
  • Opportunity to act as a founding member of a new enablement role and write the organizational playbook.

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