обновлено 4 дня назад
Principal Client AI Strategy - AI Storage
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Client AI Strategy - AI Storage (AI/Agentic Workflows): Designing and delivering enterprise AI ecosystem solutions centered on AI-native storage, multi-agent systems, and agentic architectures with an accent on executive advisory, scalable solution frameworks, and cross-functional GTM execution. Focus on architecting production-ready workflows, synthesizing LLM and RAG trends, and building ROI models and proof-of-concepts for large-scale enterprise transformation.
Location: Austin, Texas, United States
Company
helps large enterprises transform complex data into actionable insights through open-source-driven data and AI solutions.
What you will do
- Advise Fortune 500 executives and technical leaders on AI strategy, agentic workflows, and enterprise AI ecosystem solutions.
- Design scalable frameworks and technical blueprints for deploying multi-agent systems and AI integrations centered on AI-native storage.
- Lead initiatives from client discovery through production-level design with Product, Engineering, and GTM teams.
- Analyze LLM, RAG, and AI agent trends to identify technology risks, partnerships, and enterprise growth opportunities.
- Build business cases, ROI models, and data-driven proof-of-concepts to support large-scale enterprise investments.
Requirements
- Deep understanding of AI ecosystems, agentic workflow design, multi-agent frameworks, LLM orchestration, and enterprise integration patterns.
- Strong executive communication skills, including the ability to translate technical architecture, prompt design, and data concepts into business value.
- Structured problem-solving skills for diagnosing complex enterprise workflows and creating execution roadmaps.
- 4–7+ years of experience across technology or management consulting and customer-facing sales engineering, solution architecture, or GTM strategy roles.
- Experience deploying complex data analytics, cloud, or AI initiatives for large enterprise clients.
- Bachelor’s degree in data analytics, business administration, computer science, or a related field.
Nice to have
- Experience with multi-agent orchestration frameworks and modern SaaS GTM strategies.
- MBA or advanced technical degree.
- Experience in a high-growth or startup-paced environment.
Culture & Benefits
- Flexible work-from-home policy.
- Generous paid time off and designated Unplugged Days.
- Mental and physical wellness programs.
- Phone and internet reimbursement.
- Continued career development, comprehensive benefits, paid volunteer time, and employee resource groups.
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