Назад
9 месяцев назад

Technical Program Manager, Safeguards (AI)

290 000 - 365 000$
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
Technical Program Manager, Safeguards (AI): Building and operating infrastructure for AI safety in production with an accent on driving reliability, incident response, and defining/meeting SLOs. Focus on ensuring operational health, coordinating large platform investments, and driving critical migrations and eval-platform improvements.

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time.

Annual salary: $290,000–$365,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Own the Safeguards Engineering operations review and coordinate recurring reliability and risk discussions.
  • Track incidents, drive post-mortems, and ensure remediation actions are completed across Safeguards Engineering and partner teams.
  • Define and monitor SLOs for safety-critical pipelines with Safeguards Engineering, Inference, and Cloud Inference.
  • Maintain accurate runbooks and clear incident ownership for production safety systems.
  • Manage infrastructure, incident-platform, and monitoring migrations across multiple teams.
  • Coordinate self-service capabilities and broader infrastructure improvements for the ML evaluation platform.

Requirements

  • Technical program management experience in operational or infrastructure-heavy environments.
  • Ability to understand production ML systems, triage incidents, and discuss technical issues with engineers.
  • Experience coordinating work across teams without direct authority and managing operational and long-term projects simultaneously.
  • Bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.
  • Ability to work from one of the listed US offices at least 25% of the time.

Nice to have

  • Experience with SRE practices, incident-management frameworks, or large-scale on-call operations.
  • Experience with ML evaluation infrastructure and infrastructure migrations in complex multi-team environments.
  • Familiarity with PagerDuty, Datadog, or comparable monitoring and alerting tools.
  • Experience with or strong interest in AI safety.

Culture & Benefits

  • Collaborative research environment focused on trustworthy and steerable AI.
  • Flexible working hours and an office environment designed for collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and optional equity donation matching.
  • Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.

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