Роль четко определена с акцентом на безопасность ИИ и операционную надежность, поддерживаемая высокой зарплатой, что делает ее привлекательной возможностью в трендовом домене.
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Высокая зарплатаТрендовый доменЧеткие обязанностиГибридный формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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