Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 3
Prioritization @ 3
Product Management @ 5
API @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building reliable, interpretable, and steerable AI systems and the Safeguards team protects users and deployments from misuse and other risks. The Safeguards team builds protections for frontier models and product surfaces (Claude.ai, 1P API, external cloud providers). As a Product Manager on the Safeguards team you will own ideation, design, development, and deployment of safeguards systems and product UX, working closely with research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
Responsibilities
- Determine how to build safety-by-design upstream and leverage downstream defenses for Anthropic’s frontier models and AI products across surfaces (Claude.ai, 1P API, external cloud providers).
- Write safety evals and communicate externally about safety.
- Drive impact via ruthless prioritization: define problems, present solution options, weigh business & technical tradeoffs, and produce clear MVP vs. ideal-state requirements.
- Align and collaborate with policy, enforcement, research, engineering, and cross-functional stakeholders.
- Understand the AI landscape and plan mitigations for deployment risks from increasingly powerful models and determined adversaries.
- Lead development of metrics to understand area performance, blind spots, and inform future project planning.
Requirements
- 5+ years in product management with emphasis on fast problem understanding, building roadmaps with tractable progress, and working with data, detection & interventions, infrastructure & tools, and/or evals.
- Deep technical expertise in development, deployment, and measurement of safeguards systems; ability to make technical tradeoffs and work across policy experts, AI/ML research engineers, and software engineering teams.
- Strong user understanding of product usage and safeguards concerns, and ability to design appropriate solutions.
- Demonstrated experience building product and engineering strategy across multiple cross-functional teams in rapidly changing spaces.
- Demonstrated experience designing and building metrics to evaluate risks, system performance, and user impact.
- Experience planning, building, launching, and measuring new products/systems in a zero-to-one environment.
- Excellent written and verbal communication; able to articulate complex technical concepts to non-technical audiences.
- Evidence of sound judgment and decision making in ambiguous situations; creative thinking about risks and benefits of new technologies.
Logistics
- Annual salary: $305,000 - $385,000 USD
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Correlates with internal job level requirements (posting expects 5+ years PM experience)
- Location-based hybrid policy: staff expected to be in an office at least 25% of the time; some roles may require more time in offices.
- Visa sponsorship: The company states they sponsor visas and retain an immigration lawyer to assist when possible.
How Anthropic Describes the Team / Company
- Focus on high-impact, large-scale AI research and strong cross-team collaboration.
- Benefits mentioned include competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space in San Francisco.
More jobs at Anthropic
Life Sciences Operator, Lead
Anthropic · San Francisco, United States
USD 300,000-320,000 per year
Finance Systems Engineer, Revenue
Anthropic · San Francisco, United States, Seattle, United States
USD 205,000-270,000 per year
Research Scientist, Life Sciences (Computational)
Anthropic · San Francisco, United States
USD 300,000-320,000 per year
Product Manager, Safeguards (Verticals)
Anthropic · San Francisco, United States
USD 305,000-385,000 per year
Lead, Frontier Red Team (Cyber)
Anthropic · San Francisco, United States, New York City, United States
USD 485,000-690,000 per year
Similar jobs
Product Manager, Safeguards Rare Harms
Anthropic · San Francisco, United States
USD 305,000-385,000 per year
Product Manager, AI Quality
Glean · Mountain View, United States
USD 160,000-240,000 per year
Product Management Lead, AI - Real-Time News
Bloomberg · New York City, United States
USD 180,000-350,000 per year
Product Manager, AI Quality
Glean · United States
USD 160,000-240,000 per year
Product Management Lead, Core Experience
Glean · United States
USD 210,000-240,000 per year
Competitive Intelligence Lead
OpenAI · San Francisco, United States, New York City, United States
USD 293,000-325,000 per year
Head Of Competitive Intelligence
OpenAI · San Francisco, United States, New York City, United States
USD 347,000-385,000 per year
Product Manager, Enterprise
Anthropic · San Francisco, United States, New York City, United States
USD 385,000-595,000 per year