Lead GTM Enablement & Scale Architect, Lakebase

What You'll Do

• 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: use vibe coding and AI content pipelines to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments — then curate for accuracy and field impact
• Drive a 'builder-first' SA culture by architecting scalable demo environments and POC repositories designed for forking, rapid customization, and deep technical proof-of-concept delivery
• Partner directly with the Lakebase Product and Engineering leadership to stay ahead of the roadmap and translate upcoming features into field-ready assets before GA
• Establish a tight product feedback loop — systematically capture field friction, lost deals, and SA objections and channel them back to Product with actionable recommendations
• Design the competitive narrative architecture and build the "why Databricks" story that gives an SA confidence walking into a room with a customer executive
• Create scalable, multi-format enablement: Deep dives, solutions, AI role-plays, hands-on labs, and self-paced learning paths — always with a bias toward assets SAs can use in a customer conversation immediately
• Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
• Define and track KPIs that measure field readiness, and whether SAs are actually winning more Lakebase deals
• Stay a practitioner yourself: spend ~10-15% of your time in customer-facing moments — customer executive briefings, select competitive POCs
• Take a step back, think strategically and innovate your approaches to keep up with the fast paced environment

What We Look For

• 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
• You've been the SA in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor
• Deep hands-on knowledge of PostgreSQL, OLTP databases, or cloud database services
• Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier
• Demonstrated ability to build enablement programs from scratch (0-to-1)
• Strong product instinct: you can look at a feature roadmap and immediately see how it maps to customer use cases and competitive differentiation
• Experience working directly with Product and Engineering teams as a peer
• The backbone to tell Product "the field can't sell this because X" — backed by data and field evidence
• Scaling mindset: everything you build needs to work for a global field team
• Exceptional communication skills — you can make complex distributed systems concepts accessible to a broad technical audience
• Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, 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 competitive platforms
• Experience building AI applications on operational databases (RAG patterns, agent architectures, etc.)
• You've already used AI to build at scale — automating content creation, building internal tools, or shipping demos faster than anyone thought possible