Топ-оффер от ведущей AI-лаборатории с зарплатой значительно выше рынка и очень важной, специализированной ролью.
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Высокая зарплатаТрендовый доменПередовой стекПонятный скоупТоп-работодатель
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, Safeguards (Account Integrity & Abuse) (AI): Building and deploying safeguards systems, safety evaluations, interventions, and product UX for frontier AI models and products with an accent on account integrity, abuse prevention, risk measurement, and cross-functional technical strategy. Focus on designing detection and mitigation systems, developing performance and blindspot metrics, and making complex tradeoffs for safe deployment across Claude.ai, APIs, and cloud platforms.
Location: San Francisco, California or New York City, New York; hybrid, with staff expected to work from an office at least 25% of the time
Annual salary: $385,000–$460,000 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 ideation, design, development, and deployment of safeguards systems and related product UX.
Define safety-by-design approaches and downstream defenses for frontier models, Claude.ai, the first-party API, and external cloud platforms.
Develop safety evaluations, detections, interventions, and tools to measure and mitigate deployment and user risks.
Set product strategy, prioritize problems, define requirements, and manage technical and business tradeoffs from MVP to ideal state.
Collaborate with policy, enforcement, research, engineering, and other cross-functional stakeholders.
Lead the development of metrics covering system performance, risks, user impact, and blind spots.
Requirements
Technical product management experience designing and building safety systems with policy, AI/ML research, and software engineering teams.
Experience building product and engineering strategy across multiple cross-functional teams in rapidly changing environments.
Demonstrated ability to design metrics, evaluate risks and system performance, and make clear tradeoffs.
Experience planning, building, launching, and measuring new products or systems in a zero-to-one environment.
Ability to communicate complex technical concepts clearly to non-technical audiences.
Bachelor’s degree or equivalent combination of education, training, and experience in a relevant field.
Nice to have
5+ years of product management experience, including work with data, detection and interventions, infrastructure and tools, or evaluations.
Culture & Benefits
Collaborative environment bringing together researchers, engineers, policy experts, and business leaders.
Work focused on large-scale AI research and the development of steerable, trustworthy AI.
Competitive compensation with optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours and office-based collaboration.
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