2 часа назад
AI and Cloud Service Provider Account Executive (AI)
178 520 - 366 170$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI and Cloud Service Provider Account Executive (AI): Building and expanding strategic relationships with AI-native and cloud service provider accounts by aligning Intel's CPU, GPU, accelerator, networking, and software roadmap with large-scale training and inference workloads, with an accent on technical sales, executive partnerships, and data-center infrastructure. Focus on securing complex design wins, optimizing distributed AI workloads, translating hardware architecture into business value, and shaping product roadmaps with cloud and OEM partners.
Location: Virtual US; candidates must live and work in the United States. The role is fully home-based with occasional visits to sites. Candidates living within a 30-mile radius of an office location are required to work in a hybrid arrangement.
Annual salary range: $178,520–$366,170 USD.
Company
develops semiconductor hardware, software, and data-center technologies for AI and cloud infrastructure.
What you will do
- Build executive and technical partnerships with strategic AI, SaaS, and cloud service provider accounts.
- Translate CPU, GPU, accelerator, networking, and packaging architectures into customer business outcomes.
- Identify and secure design wins for large-scale AI training and inference infrastructure.
- Coordinate with cloud solution architects, business units, cloud providers, and OEM partners.
- Influence future product roadmaps based on the needs of AI-native customers.
- Communicate 's AI and compute infrastructure strategy to technical and business audiences.
Requirements
- Bachelor's degree.
- 5+ years of data-center cloud sales or business development experience.
- Experience managing complex, multi-million-dollar accounts and long technical sales cycles.
- Strong understanding of the AI pipeline, from LLM training clusters to edge inference, including TCO, FLOPS, memory bandwidth, and interconnect latency.
- Knowledge of data-center components and cloud-native software stacks, including CPU, DDR5, HBM, PCIe, Ethernet, and InfiniBand.
- Experience with distributed AI workload characterization and optimization, AI software ecosystems such as PyTorch and TensorFlow, and competitive AI compute architectures.
Culture & Benefits
- Fully home-based work model with occasional site attendance based on business needs.
- Competitive compensation with stock bonuses.
- Health, retirement, and vacation benefits.
- Shift 1 schedule aligned with the United States of America.
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