Назад
3 дня назад

Engineering Manager, Cloud Safety (AI)

405 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
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

Engineering Manager, Cloud Safety (AI): Leading the Cloud Safety team to scale and optimize Claude for Cloud Service Providers with an accent on API safety, inference, and fraud detection. Focus on building high-scale infrastructure, managing capacity, and ensuring safe deployment of frontier LLM models.

Location: Hybrid: Must be based in San Francisco, CA or Seattle, WA (office presence required at least 25% of the time).

Salary: $405,000 - $485,000 USD

Company

AI safety and research company dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

  • Set technical strategy and oversee development of safety features across all Claude CSP surfaces.
  • Collaborate with cross-functional stakeholders to align goals and drive outcomes for frontier LLM serving.
  • Lead the hiring, coaching, and scaling of a high-performing technical team.
  • Design and manage operational processes, including postmortem reviews, incident response, and on-call rotations.
  • Identify and implement solutions for product, infrastructure, operations, and capacity needs.

Requirements

  • 8+ years of experience in high-scale, high-reliability software development, particularly in infrastructure or capacity management.
  • 3+ years of engineering management experience.
  • Experience recruiting and retaining engineering talent in a high-growth environment.
  • Experience scaling products and operations to accommodate rapid growth.
  • Willingness and ability to travel frequently between Seattle and the SF Bay Area.
  • Bachelor’s degree or equivalent combination of education and experience.

Nice to have

  • Experience with identity and access controls (KYC/KYB, verification flows).
  • Experience detecting and mitigating platform abuse at scale (account fraud, bot traffic, model extraction).
  • Background in trust & safety, security, or legal/compliance.
  • Experience with ML infrastructure (GPUs, TPUs, Trainium) and networking infrastructure (NCCL).
  • Experience with deployment and capacity management automation.

Culture & Benefits

  • Public benefit corporation focusing on high-impact AI research.
  • Competitive compensation with optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and collaborative office spaces.
  • Visa sponsorship availability.

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