обновлено 9 дней назад
Lead GTM Enablement & Scale Architect, Product Enablement (AI)
174 200 - 299 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead GTM Enablement & Scale Architect, Product Enablement (AI) (Data and AI platforms): Building scalable technical enablement, demo environments, AI-powered tools, and competitive assets for Solutions Architects and Partner Technical Sales with an accent on product positioning, field readiness, and customer-facing proof of concept delivery. Focus on architecting builder-first demo repositories, translating product roadmaps into field-ready materials, and using field evidence to improve product strategy and win rates.
Location: United States
Salary: $174,200–$299,400 USD per year depending on pay zone; total compensation may also include an annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data + AI Platform used to build and scale data and AI applications, analytics, and agents.
What you will do
- Own the global go-to-market and enablement strategy for a Databricks product area across Field Engineering and Partner Technical Sales.
- Build scalable technical deep dives, competitive talk tracks, hands-on labs, demo environments, and self-paced learning paths using AI-assisted content pipelines.
- Architect builder-first demo environments and proof-of-concept repositories for rapid customization and technical customer engagements.
- Partner with Product and Engineering leadership to translate upcoming features into field-ready assets before general availability.
- Capture field friction, lost deals, and sales objections, then provide data-backed recommendations to Product.
- Define field-readiness KPIs and spend approximately 10–15% of the time in customer executive briefings and competitive proof-of-concept work.
Requirements
- 8+ years of experience in solutions architecture, technical pre-sales, developer relations, technical product marketing, or technical enablement.
- Direct experience with data and AI platforms, distributed systems, or cloud data infrastructure.
- Hands-on knowledge of modern data and AI platforms and depth in at least one area such as data warehousing, data engineering, AI/ML, business intelligence, or operational databases.
- Experience running proofs of concept, handling live objections, defending technical positions, and building enablement programs from scratch.
- Experience collaborating directly with Product and Engineering teams and scaling programs for a global field organization.
- Familiarity with Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns, and strong technical communication skills.
Nice to have
- Experience at a high-growth infrastructure company during a major product launch.
- Background spanning both pre-sales and post-sales technical roles.
- Experience with Databricks or competing platforms.
- Experience building AI applications using RAG patterns and agent architectures.
- Experience using AI to automate content creation, build internal tools, or ship demos at scale.
Culture & Benefits
- Founding role with responsibility for creating the enablement playbook from the ground up.
- Builder-first approach focused on reusable tools, demos, automations, and customer-ready technical assets.
- Comprehensive benefits and perks, with details varying by region.
- Annual performance bonus and equity may be included in the total compensation package.
- Commitment to a diverse and inclusive workplace.
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