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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, Multi-Cloud Trust & Safety (AI): Building safeguards, fraud defenses, compliance controls, and trust-and-safety product experiences for Claude across Amazon Bedrock, Google Cloud, and Microsoft Foundry with an accent on multi-cloud strategy, partner operations, and enterprise risk requirements. Focus on designing cross-cloud enforcement and verification systems, exchanging threat intelligence and fraud signals, and coordinating complex controls across engineering, security, policy, legal, and cloud partners.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy requires staff to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.
Annual salary: $305,000–$385,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Own the multi-cloud strategy and roadmap for model safeguards, including data retention, automated and human review, eligibility, verification, and enforcement.
Build fraud and abuse defenses for partner-sold offerings, including bot abuse, mass registration, risk controls, and chargebacks.
Develop threat-intelligence and fraud-signal sharing with AWS, Google, and Microsoft.
Partner with enterprise security, risk, and compliance leaders to translate requirements into product priorities.
Coordinate Safeguards, Inference, Policy, Security, Legal, engineering, sales, partnerships, and marketing teams around one set of controls across three clouds.
Support enterprise evaluations where data handling, safety, and compliance requirements are decisive.
Requirements
10+ years of professional experience, including 5+ years of product experience in platform roles for high-scale enterprise- or developer-facing software.
Experience executing autonomously across teams and organizations in ambiguous, fast-moving environments.
Excellent written communication and the ability to create clarity from complex issues.
Ability to explain tradeoffs between policy nuance and systems detail to lawyers, engineers, go-to-market teams, and partner executives.
Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Nice to have
Product experience in trust and safety, security, privacy, or compliance.
Experience shipping products with a hyperscaler or through AWS, GCP, Azure, or their marketplaces.
Background in AI safety, content moderation, abuse detection, or cross-company incident response.
Culture & Benefits
Collaborative environment focused on high-impact AI research and trustworthy, steerable AI.
Competitive compensation and benefits with optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours and office-based collaboration.
Visa sponsorship is available, subject to role and candidate eligibility.
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