Tech Stack
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.
AI @ 4
API
Machine Learning
Product Management @ 4
- 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's Safeguards team develops protections for AI features and products, including detections, evaluations, interventions, and tools to measure and mitigate deployment and user risks. The Product Manager will own the ideation, design, development, and deployment of Safeguards systems and related product user experience across Claude.ai, the first-party API, and external cloud providers.
Responsibilities
- Build safety by design upstream and leverage downstream defenses for frontier models, AI products, and customers across multiple surfaces.
- Write safety evaluations and communicate externally about safety.
- Prioritize initiatives by defining problems, evaluating solution options, clarifying business and technical tradeoffs, and establishing MVP and ideal-state requirements.
- Collaborate with policy, enforcement, research, engineering, and cross-functional stakeholders.
- Understand the AI landscape and ecosystem to plan mitigations for deployment risks and determined adversaries.
- Lead development of metrics covering risks, system performance, and blind spots to inform future planning.
Requirements
- Technical tradeoff decision-making experience, ideally working with policy experts, AI/ML research engineers, and software engineering teams to design and build safety systems.
- Strong understanding of how products are used, their Safeguards concerns, and appropriate solutions.
- Experience building product and engineering strategy across multiple cross-functional teams in a rapidly changing environment.
- Experience designing and building metrics to evaluate risks, system performance, and user impact, and making clear tradeoffs.
- Ability to navigate and prioritize rapidly changing product specifications and bring clarity across different domains.
- Sound judgment and decision-making skills in ambiguous situations.
- 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 in writing and verbally.
- Creativity in assessing the risks and benefits of new technologies beyond existing checklists and playbooks.
- Bachelor's degree or equivalent combination of education, training, and experience.
- Five or more years of product management experience, preferably involving data, detection and interventions, infrastructure and tools, and/or evaluations.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
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