Global GTM Strategy and Scale Architect (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Global GTM Strategy and Scale Architect (AI): Developing end-to-end enablement strategies for new product categories including cybersecurity and agentic AI with an accent on technical positioning and field readiness. Focus on building AI-powered content pipelines, designing scalable demo environments, and creating competitive narratives for global Solutions Architect teams.
Location: United States
Salary: $174,200 — $299,400 USD
Company
is a data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Own global GTM and enablement strategies for new product categories from foundation to advanced competitive positioning.
- Build and ship enablement at scale using AI, generating technical deep dives, competitive talk tracks, and labs.
- Design and build demo environments and POC patterns that Solutions Architects can fork and customize.
- Partner with Product and Engineering leadership to translate upcoming roadmaps into field-ready assets.
- Establish product feedback loops by capturing field friction and SA objections to provide actionable recommendations to PMs.
- Define and track KPIs to measure field readiness and the effectiveness of GTM strategies.
Requirements
- 8+ years of experience in solutions architecture, technical pre-sales, developer relations, or technical enablement.
- Proven track record of running POCs, handling live objections, and defending technical positions against competitors.
- Ability to quickly gain technical credibility in unfamiliar domains.
- Builder mentality with a preference for creating tools, demos, and automations over slide decks.
- Experience building 0-to-1 enablement programs for a global technical field team.
- English: C1+ required for exceptional communication with audiences ranging from SAs to C-Suite.
Nice to have
- Experience at a high-growth infrastructure company during major product launches.
- Professional background in both pre-sales and post-sales technical roles.
- Hands-on experience with or competitive data platforms.
- Experience building AI applications using RAG patterns and agent architectures.
- History of using AI to automate content creation or ship demos at scale.
Culture & Benefits
- Competitive compensation including base salary, annual performance bonus, and equity.
- Comprehensive benefits package tailored to the specific region.
- High-impact role within a leading data and AI organization serving Fortune 500 companies.
- Environment focused on innovation, scaling, and technical excellence.
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