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16 часов назад

Sr. Product Marketing Manager (AI Infrastructure)

200 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Sr. Product Marketing Manager (AI Infrastructure): Driving messaging, positioning, launches, market insights, and sales enablement for AI infrastructure solutions with an accent on generative AI, RAG, data pipelines, hybrid multicloud architectures, and enterprise data platforms. Focus on translating technical capabilities into customer-value narratives, building AI solution frameworks, and measuring adoption, pipeline impact, and GTM performance.

Location: Based in San Jose, CA; Raleigh (RTP), NC; or Remote-Seattle, WA, with required in-office attendance for a set number of days per quarter

Salary: $200,000–$225,000 annually, with final compensation determined by location, qualifications, experience, and education

Company

hirify.global delivers intelligent data infrastructure, unified storage, integrated data services, and enterprise solutions for AI and multicloud environments.

What you will do

  • Own messaging and positioning across platforms, solutions, products, and buyer personas.
  • Conduct TAM/SAM analysis, buyer research, competitive benchmarking, and market trend analysis.
  • Lead product launches and create integrated go-to-market plans, playbooks, demos, and talk tracks.
  • Develop AI solution frameworks covering AI pipelines, cyber resilience, and hybrid cloud modernization.
  • Create sales and partner enablement content and support partner activation strategies.
  • Support analyst briefings, events, pricing and packaging strategy, and performance measurement using launch, pipeline, adoption, and KPI data.

Requirements

  • 8+ years of product marketing experience in an enterprise technology or cloud solutions company.
  • Strong storytelling, messaging, buyer-persona, customer-journey, and competitive-analysis skills.
  • Technical fluency in generative AI, RAG, data pipelines, model development workflows, hybrid multicloud architectures, data governance, and enterprise storage or data management platforms.
  • Ability to translate technical concepts into business value and customer outcomes.
  • Bachelor’s degree in business, a technical field, or marketing, or equivalent experience.

Culture & Benefits

  • Hybrid work environment with in-office and in-person expectations.
  • Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
  • Performance-based incentives, employee stock purchase plan, and/or restricted stock units may be available.
  • Flexible workplace practices supporting work-life balance.
  • Inclusive culture that values initiative, impact, ownership, creativity, and collaboration.

Hiring process

  • Applications are reviewed only when submitted through the company website.
  • Some stages may use AI-assisted application evaluation and candidate screening alongside human decision-making.
  • Candidates may request an alternative selection process without automated evaluation.

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