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6 дней назад

Product Technical Marketing Manager (AI Infrastructure)

160 000 - 190 000$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Technical Marketing Manager (AI Infrastructure): Building technical messaging, presentations, demos, collateral, and enablement content for AI infrastructure and inference use cases with an accent on hardware tradeoffs, accelerator architecture, and customer-facing technical storytelling. Focus on explaining memory bandwidth, interconnect, quantization, throughput versus latency, cost-per-token tradeoffs, and benchmarking for large-model inference.

Location: San Jose, California, United States

Salary: $160,000–$190,000 USD base salary per year

Company

hirify.global develops a full-stack generative AI platform spanning specialized chips, models, on-premises deployments, and cloud delivery for enterprise and government organizations.

What you will do

  • Build technical messaging, presentations, demos, collateral, and enablement content for AI infrastructure and inference use cases.
  • Explain hardware and inference concepts, including memory bandwidth, interconnect, quantization, throughput versus latency, and cost-per-token tradeoffs.
  • Partner with product, engineering, developer relations, sales, solutions, and field teams to create technically accurate and commercially useful narratives.
  • Support product launches, customer conversations, benchmarking discussions, and technical field enablement.
  • Translate product and architecture details into customer, partner, and seller education materials.
  • Collect market and field feedback to improve positioning, proof points, and educational content.

Requirements

  • 3–8 years of experience in technical product marketing, technical marketing engineering, solutions architecture, field applications engineering, developer marketing, or a related role.
  • Strong technical fluency in semiconductors, accelerators, AI infrastructure, datacenter systems, or inference workloads.
  • Ability to communicate hardware tradeoffs for large-model inference with technical credibility.
  • Experience creating customer-facing or field-facing technical content, demos, presentations, training materials, or educational assets.
  • Strong cross-functional collaboration skills across engineering, product, sales, and customer-facing teams.
  • Comfort operating with ambiguity in high-ownership, startup-oriented environments.

Nice to have

  • Experience with AI/ML infrastructure, GPU or accelerator ecosystems, datacenter hardware, or performance-sensitive systems.
  • Hands-on familiarity with benchmarking, workload optimization, proof-of-concepts, or technical competitive positioning.
  • Public technical teaching through blog posts, talks, demos, documentation, LinkedIn content, or similar channels.
  • Experience supporting sales enablement, partner enablement, developer education, or community education.
  • Bay Area experience or interest in working closely with a Bay Area team.

Culture & Benefits

  • Full-time US employment with base salary, equity, and benefits.
  • Medical insurance with 95% employee premium coverage and 77% dependent premium coverage.
  • Health Savings Account with employer contribution, plus dental, vision, disability, life, AD&D, and flexible spending account options.
  • Well-being benefits including Headspace, Gympass+, One Medical, and counseling through an Employee Assistance Program.
  • Equal Opportunity and Affirmative Action workplace.

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