Databricks

1 month ago

Lead GTM Enablement & Scale Architect, Product Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Founding enablement role responsible for end-to-end GTM and enablement strategy for Lakebase, Databricks’ serverless PostgreSQL product. You’ll translate product capabilities into field-ready assets, build scalable AI-powered enablement, and collaborate with Product/Engineering to align roadmap with customer outcomes, driving field readiness and measurable impact across global Solutions Architect teams.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Define and own the global GTM and enablement strategy for Lakebase for Field Engineering and Partner Technical Sales, from foundational knowledge through advanced competitive positioning
•Build and ship enablement at scale using AI, including first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments
•Architect scalable demo environments and POC repositories designed for rapid customization and deep technical proof-of-concept delivery
•Partner with Lakebase Product and Engineering leadership to translate upcoming features into field-ready assets before GA
•Establish a feedback loop to capture field friction and objections and provide data-backed recommendations to Product and marketing teams

Key Requirements

•8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement with direct experience in databases, distributed systems, or cloud data infrastructure
•Deep hands-on knowledge of PostgreSQL, OLTP databases, or cloud database services
•Builder mentality: you default to building tools, demos, and automations, not decks, and use AI tools as a daily multiplier
•Experience building enablement programs from scratch (0-to-1), not just iterating on existing content
•Exceptional communication skills and experience collaborating with Product and Engineering teams to translate features into customer value

Experience:8+ yearsDatabasesCloud data infrastructureAIPostgreSQL

Skills:CommunicationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:PostgreSQLOLTPDelta LakeLakehouseAIPOCCloudDatabases

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Lead GTM Enablement & Scale Architect, Product Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Define and own the global GTM and enablement strategy for Lakebase for Field Engineering and Partner Technical Sales, from foundational knowledge through advanced competitive positioning
•Build and ship enablement at scale using AI, including first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments
•Architect scalable demo environments and POC repositories designed for rapid customization and deep technical proof-of-concept delivery
•Partner with Lakebase Product and Engineering leadership to translate upcoming features into field-ready assets before GA
•Establish a feedback loop to capture field friction and objections and provide data-backed recommendations to Product and marketing teams

Key Requirements

•8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement with direct experience in databases, distributed systems, or cloud data infrastructure
•Deep hands-on knowledge of PostgreSQL, OLTP databases, or cloud database services
•Builder mentality: you default to building tools, demos, and automations, not decks, and use AI tools as a daily multiplier
•Experience building enablement programs from scratch (0-to-1), not just iterating on existing content
•Exceptional communication skills and experience collaborating with Product and Engineering teams to translate features into customer value

Experience:8+ yearsDatabasesCloud data infrastructureAIPostgreSQL

Skills:CommunicationLeadershipCollaborationProblem-solving

Languages:English

Tech Stack:PostgreSQLOLTPDelta LakeLakehouseAIPOCCloudDatabases

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn