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Engineering Technical Program Manager (AI/ML)

177 000 - 237 000$
Формат работы
remote (только USA)/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

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TL;DR

Technical Program Manager (AI): Driving end-to-end program management and release strategy for the Weights & Biases platform with an accent on platform reliability and integration within the ML developer ecosystem. Focus on building and scaling incident management processes, optimizing release delivery cycles, and ensuring high-quality software predictability across distributed engineering teams.

Location: Based in the United States. Role is hybrid, with remote work considered for candidates located more than 30 miles from an office.

Salary: $177,000–$237,000

Company

A cloud platform provider specializing in AI infrastructure that enables innovators to build and scale machine learning workflows.

What you will do

  • Drive end-to-end program management for critical platform initiatives.
  • Build and run release management processes to ensure predictable, high-quality delivery.
  • Establish and scale incident management and RCA processes for platform services.
  • Define success metrics and manage risks in partnership with engineering and product leadership.
  • Improve release visibility through dashboards, retrospectives, and program forums.
  • Collaborate across teams to ensure end-to-end reliability of the ML developer stack.

Requirements

  • Bachelor’s degree in a technical field or equivalent experience.
  • 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms.
  • Proven track record in running release and incident management programs.
  • Technical fluency in cloud computing, developer workflows, and CI/CD practices.
  • Must be a U.S. person (citizen, permanent resident, refugee, or asylee) to comply with export control regulations.
  • Ability to attend onboarding at a company hub within the first month.

Nice to have

  • Familiarity with ML workflows, model training, and inference.
  • Experience building integrations between SaaS platforms, APIs, and cloud services.
  • Background in reliability engineering and DevOps program leadership.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance paid 100% by the company.
  • 401(k) with employer match and Employee Stock Purchase Program.
  • Flexible PTO and a casual work environment.
  • Support for mental wellness, family-forming, and childcare.
  • Generous tuition reimbursement program.

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