Lead GTM Enablement & Scale Architect, Lakebase
Core
Founding enablement role owning end-to-end GTM strategy for Lakebase (Databricks' managed, serverless PostgreSQL for AI), bridging product and field teams to build scalable enablement assets and competitive narratives.
Role type
Lead GTM Enablement & Scale Architect (Field Engineering)
Builds
Global enablement strategy, AI-powered content pipelines, scalable demo environments, POC repositories, and field-readiness assets for Solutions Architects.
Domain
Cloud Data Infrastructure / AI / PostgreSQL / Lakehouse
Required skills
Solutions architecture, technical pre-sales, developer relations, technical product marketing, technical enablement, PostgreSQL, OLTP databases, cloud database services, AI tools usage, 0-to-1 program building, product roadmap translation, field feedback loop management, competitive positioning, distributed systems knowledge, data and AI ecosystem familiarity.
Preferred skills
High-growth infrastructure product launch experience, pre-sales and post-sales lifecycle experience, Databricks platform experience, AI application building on operational databases, large-scale AI automation.
Technologies
PostgreSQL, Delta Lake, Lakehouse, Apache Spark, MLflow, vector databases, AI/ML serving patterns, RAG, agent architectures.
Responsibilities
Own global GTM and enablement strategy for Lakebase; Build and ship enablement at scale using AI tools; Drive a 'builder-first' SA culture by architecting scalable demo environments; Partner with Product/Engineering to translate roadmap into field-ready assets; Establish product feedback loops from the field; Design competitive narrative architecture; Create scalable multi-format enablement assets; Build AI-powered tools for the field; Define and track KPIs for field readiness; Maintain practitioner status via customer-facing moments.
Seniority
Senior, hands-on IC with strategic scope
