Lead GTM Enablement & Scale Architect, Lakebase
Core
Founding enablement role building the end-to-end strategy to take Lakebase (Databricks' managed PostgreSQL for AI) from early adoption to a product field-ready for Solutions Architects and Partner Technical Sales.
Role type
Lead GTM Enablement & Scale Architect
Builds
Global enablement strategy, AI-powered content pipelines, scalable demo environments, POC repositories, and field-ready assets.
Domain
Data & AI, Cloud Infrastructure, PostgreSQL, Lakehouse Architecture
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
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 instinct, scaling mindset
Preferred skills
High-growth infrastructure product launch experience, pre-sales and post-sales lifecycle experience, Databricks platform experience, AI application building (RAG, agents)
Technologies
PostgreSQL, Apache Spark, Delta Lake, MLflow, Lakehouse, Vector databases, AI/ML serving patterns
Responsibilities
Own global GTM and enablement strategy for Lakebase; Build and ship enablement at scale using AI to generate technical deep dives and labs; Architect scalable demo environments and POC repositories; 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
