Drimva

Anthropic

Product Manager, Multi-Cloud Trust & Safety

$305K–$385K

San Francisco, CA +3 · Manager · Full-time · Posted Aug 28, 2026

Location
San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States
Experience
10+ years of experience; 5+ years of product experience in platform product roles.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role, demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.

About the job

Owns Anthropic’s multi-cloud product strategy for model safeguards, trust and safety, fraud defenses, and compliance across partner cloud platforms.

What you'll do

  • Set roadmaps for safeguards, eligibility and verification controls, threat-intelligence sharing, and customer transparency across cloud partners.
  • Own fraud and abuse defenses for partner-sold offerings and define fraud signals exchanged with cloud partners.
  • Coordinate with partner and internal teams to deliver consistent controls and support enterprise evaluations.

What they ask for

  • 10+ years of experience.
  • 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.
  • Track record of executing across teams and organizations in ambiguous, fast-moving environments with high autonomy.
  • Excellent written communication and ability to explain policy and systems tradeoffs to varied audiences.

Nice to have

  • Product experience in trust & safety, security, privacy, or compliance.
  • Experience partnering with a hyperscaler or working on trust & safety, fraud, or security products at AWS, GCP, Azure, or a related marketplace ISV.

Pay

$305,000 — $385,000 USD (base salary)

Tools

Amazon Bedrock, Google Cloud's Agent Platform, Microsoft Foundry, AWS, Google, Microsoft

AI focus

Product work on AI model safeguards and trust and safety, including data retention, automated and human review, enforcement, and misuse detection.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)