Lead GTM Enablement & Scale Architect, Product Enablement

Vibehackers; Northern (KY); Hybrid; USD 174,000 - 299,000; Full time

Job summary

Vibehackers is seeking an experienced leader to drive go-to-market enablement for a Databricks product area. You will own the end-to-end enablement strategy, building scalable demos, POCs, and assets that help field engineers and partners win deals.

This role requires deep experience in data/AI platforms, solutions architecture, and creating enablement programs from scratch, with a focus on AI-driven assets and measurable impact on win rates.

Qualifications

• 8+ years in solutions architecture, technical pre-sales, or enablement with data/AI platforms.
• Proven POC delivery and live objection handling as a Solutions Architect.
• Deep knowledge of modern data/AI platforms and at least one Databricks product domain.
• Builder mindset creating tools, demos, and automations with AI multipliers.
• Experience launching enablement programs from scratch (0-to-1).

Responsibilities

• Lead global GTM enablement strategy and scalable AI-driven assets.
• Create demos, POCs, labs, and assets for field engineering and partner sales.
• Translate roadmap features into field-ready assets before GA.
• Capture field feedback to influence product roadmap and priorities.
• Define KPIs for field readiness and impact on win rates.
• Develop multi-format enablement, including AI role-plays and labs.

Skills

Solutions Architecture

Technical Pre-Sales

Data & AI Platforms

Enablement Programs

AI Tools Daily Use

Databricks Platform

AI/ML Frameworks

Cross-functional Collaboration

Tools

Databricks Platform

Delta Lake

Lakehouse

Job description

Explicitly requires vibe coding and AI content pipelines to generate and scale enablement assets and demos.

About the Role

Lead the global go-to-market enablement strategy for a Databricks product area, building scalable AI-driven enablement, demo and POC assets, and translating product capabilities into field-ready outcomes to help Solutions Architects win deals.

Job Description

Role

Lead GTM Enablement & Scale Architect for a Databricks product area. Own the end-to-end enablement strategy for Field Engineering and Partner Technical Sales, creating scalable demos, POCs, and assets that drive adoption and competitive win rates.

Key Responsibilities

• Own global GTM and enablement strategy for a Databricks product area across Field Engineering and Partner Technical Sales.
• Build and ship enablement at scale using AI, including vibe coding and AI content pipelines to generate technical deep dives, talk tracks, hands-on labs, and demo environments, then curate for accuracy.
• Architect scalable demo environments and POC repositories that are forkable and rapidly customizable for technical proof-of-concept delivery.
• Partner with Product and Engineering leadership to translate roadmap features into field-ready assets before GA.
• Capture field friction, lost deals, and SA objections; channel actionable feedback to Product and influence roadmap/priorities.
• Design competitive narrative architecture and create the “why Databricks” messaging for customer executive conversations.
• Create multi-format enablement (deep dives, solutions, AI role-plays, labs, self-paced paths) with a bias toward immediately usable customer-facing assets.
• Build AI-powered tools for the field (agents for instant answers, AI role-plays, automated competitive briefs).
• Define and track KPIs for field readiness and impact on win rates.
• Maintain practitioner involvement (~10–15% customer-facing time) including executive briefings and select competitive POCs.

Requirements

• 8+ years in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure.
• Direct POC and live objection-handling experience as a Solutions Architect.
• Deep, hands-on knowledge of modern data and AI platforms and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, operational databases).
• Builder mentality: create tools, demos, and automations as primary outputs; use AI tools as daily multipliers.
• Demonstrated experience building enablement programs from scratch (0-to-1).
• Strong product instinct and ability to map roadmap features to customer use cases and differentiation.
• Experience working as a peer with Product and Engineering leadership and the credibility to push back using data and field evidence.
• Scaling mindset focused on leverage and automation for a global field team.
• Exceptional communication skills for a broad technical audience.
• Familiarity with Lakehouse architecture, Delta Lake, vector databases, and AI/ML serving patterns.

Nice to Have

• Experience at a high-growth infrastructure company during major product launches.
• Background across pre-sales and post-sales technical roles (full customer lifecycle experience).
• Hands-on experience with Databricks or competitive platforms.
• Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures).
• Prior use of AI to automate content creation, internal tools, or to accelerate demo shipping.

Compensation & Pay Range

• Zone 1: $217,800—$299,400 USD
• Zone 2: $196,000—$269,500 USD
• Zone 3: $185,100—$254,550 USD
• Zone 4: $174,200—$239,600 USD
• Total compensation may include annual performance bonus, equity, and other benefits.
• Annual performance bonus
• Equity

Databricks Lakehouse Delta Lake Unity Catalog Genie Lakebase Agent Bricks Lakeflow Vector databases RAG Agent architectures AI agents

Skills

Enablement Strategy Solutions Architecture Technical Pre-Sales Cross-functional Collaboration Product Translation Competitive Analysis Demo/POC Design Stakeholder Management Communication Program/Project Management Data-driven Decision Making KPI Tracking Coaching and Training Scaling and Automation AI-assisted Content Development