Топовая AI-компания, зарплата значительно выше рынка и роль с огромным влиянием на самую критичную часть развития AI — безопасность.
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Очень высокая зарплатаПередовой стекТрендовый доменПонятный scopeЭлитная компанияГибкий гибрид
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Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (AI): Leading the Review Tooling team to build systems for investigating potential harms and taking enforcement actions across AI products with an accent on automation, privacy-preserving primitives, and analytics. Focus on scaling human-in-the-loop review workflows and integrating LLMs to enhance safety investigations.
Location: San Francisco, CA (Hybrid: minimum 25% office presence required)
Annual Salary: $405,000 - $485,000 USD
Company
Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.
What you will do
Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling.
Define the vision and roadmap for the review tooling platform, including analytics and sandbox environments.
Drive the strategy for scaling review through Claude-assisted and Claude-driven automation.
Partner with policy, operations, legal, and data science teams to translate needs into reliable systems.
Ensure tooling evolves alongside privacy primitives and data retention commitments.
Oversee hiring and coaching to maintain a high-performing, inclusive technical team.
Requirements
Experience managing software engineering teams, including hiring and coaching.
Technical background in full-stack or platform engineering.
Track record of shipping internal tools or platforms for demanding operational users.
Experience working cross-functionally with non-engineering partners (legal, policy, operations).
Must be based in or able to work from San Francisco, CA to satisfy hybrid office requirements.
Excellent communication skills for explaining technical tradeoffs to non-technical stakeholders.
Nice to have
4+ years of management experience and 10+ years of industry software engineering experience.
Experience building trust and safety, integrity, fraud, or abuse-prevention tooling.
Knowledge of designing systems under strict privacy or data governance constraints (e.g., zero data retention).
Experience integrating LLMs or agentic systems into operational workflows.
Experience building extensible developer platforms or tooling frameworks.
Culture & Benefits
Collaborative "big science" research environment with a focus on high-impact goals.
Competitive compensation with optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours and a modern office space for collaboration.
Visa sponsorship availability for eligible candidates.
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