обновлено 12 дней назад
Sr. Technical Marketing Engineer (AI Infrastructure)
196 350 - 292 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Technical Marketing Engineer (AI Infrastructure): Building, validating, and launching hybrid cloud, FlexPod, data management, and next-generation AI infrastructure solutions with an accent on reference architectures, technical strategy, and customer value. Focus on validating performance, scalability, reliability, and security in lab environments, creating technical enablement content, and solving complex infrastructure issues across compute, networking, storage, virtualization, cloud, and AI ecosystems.
Location: Hybrid role based in Morrisville, North Carolina, or San Jose, California, United States, with in-office and in-person expectations.
Salary: $196,350–$292,600 per year, plus a comprehensive benefits package.
Company
delivers intelligent data infrastructure, unified storage, integrated data services, hybrid cloud solutions, and AI infrastructure.
What you will do
- Shape FlexPod and continuous integration solution strategy using customer, partner, and field feedback.
- Develop, validate, and document reference architectures, deployment methodologies, demos, and best practices.
- Build and operate lab and test environments to evaluate performance, scalability, reliability, security, and customer use cases.
- Create white papers, presentations, videos, demos, product documentation, competitive positioning, and field enablement content.
- Conduct customer, sales, partner, and executive workshops, technical briefings, and RFP support.
- Drive automation, validation tools, deployment frameworks, monitoring approaches, and escalation support for complex infrastructure issues.
Requirements
- 15+ years of experience in enterprise infrastructure, storage, cloud, technical marketing, product management, solutions architecture, engineering, or a related field.
- Deep expertise in storage and data management, compute, networking, virtualization, Linux, enterprise applications, and databases.
- Strong understanding of hybrid cloud, AI/ML infrastructure, Kubernetes, containers, distributed systems, cloud-native technologies, and automation frameworks.
- Ability to connect technical capabilities with customer requirements, market dynamics, value propositions, and measurable business outcomes.
- Exceptional written, verbal, presentation, and storytelling skills across executive, customer, engineering, and architecture audiences.
- Bachelor’s degree in computer science, electrical engineering, information technology, or a related technical discipline.
Nice to have
- Experience with FlexPod, converged infrastructure, AI infrastructure, hybrid cloud, reference architectures, technical marketing, solution engineering, or product management.
- Knowledge of IBM Storage Scale or Lustre parallel file systems.
- Server experience with Cisco, Supermicro, or Dell platforms.
- Hands-on experience with hyperscalers.
- Advanced technical degree.
Culture & Benefits
- Hybrid working environment focused on collaboration and connection.
- Health, life, retirement or pension, paid time off, and leave benefits, subject to regional policies.
- Performance-based incentives, employee stock purchase plan, and/or restricted stock units may be included.
- Inclusive workplace that values initiative, ownership, creativity, and diverse perspectives.
Hiring process
- Applications are reviewed through the company website.
- Selected hiring stages may use AI-assisted evaluation tools alongside human decision-making.
- Candidates may request an alternative selection process without automated evaluation.
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