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13 часов назад

Senior Product Manager, AI Infrastructure

160 000 - 210 000$
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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TL;DR
Senior Product Manager, AI Infrastructure (AI/SaaS): Building enterprise-facing AI platform capabilities and developer workflows with an accent on customer outcomes, APIs, integrations, and intuitive UX. Focus on identifying high-value opportunities, translating technical needs into product specifications, and driving enterprise adoption through close collaboration with engineering, Sales, and Customer Success.

Location: Hybrid role based in New York City or San Francisco, United States

Salary: $160,000–$210,000 per year

Company

hirify.global builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-focused software with large-scale AI compute.

What you will do

  • Identify high-value opportunities with enterprise customers and shape product strategy.
  • Own customer outcomes by removing blockers, improving integrations, and expanding enterprise adoption.
  • Build relationships with technical users and drive fast, high-quality issue resolution.
  • Translate developer needs across APIs, integrations, documentation, and workflows into product specifications and intuitive user flows.
  • Partner with Sales, Customer Success, Marketing, Engineering, and Design on enterprise growth and product delivery.
  • Coach engineering teams and drive multiple strategic initiatives from discovery through execution.

Requirements

  • 5+ years of product management experience in high-growth SaaS, including 2+ years in enterprise B2B.
  • Experience with land-and-expand or post-sales activities and a track record of delivering high-revenue enterprise opportunities.
  • Strong understanding of technical users, APIs, developer workflows, integrations, instrumentation, metrics, and dashboards.
  • Strong product judgment, UX sensibility, collaboration skills, and comfort defining specifications with Engineering.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Ability to learn continuously, receive feedback, and improve.

Nice to have

  • Experience with AI cloud platforms, model training, or inference.

Culture & Benefits

  • Builder-oriented culture focused on urgency, ownership, open communication, scalable systems, and continuous improvement.
  • Medical, dental, and vision coverage for employees and eligible dependents.
  • RSUs, U.S. 401(k) matching, unlimited PTO, company holidays, and a two-week winter break.
  • Paid parental and family leave, professional development allowance, wellness and work-from-home stipends.
  • Four weeks of paid sabbatical after four years of service, flexible schedules, hybrid office work, and complimentary office meals.

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