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’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team builds protections for new AI features and for product surfaces. As a Product Manager on the Safeguards team you will own ideation, design, development, and deployment of Safeguards systems and product UX to ensure safe deployment of frontier models across cloud platforms. You will work 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 in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models and AI products across surfaces such as Claude.ai, 1P API, and external cloud providers.
- Write safety evals and communicate externally about safety.
- Drive impact through prioritization: define problems, evaluate solution options, clarify business and technical tradeoffs, and write clear requirements for MVP vs. ideal state.
- 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 and blind spots to inform project planning.
Requirements
- Ability to make technical tradeoff decisions and experience working across policy experts, AI/ML research engineers, and software engineering teams to design and build safety systems.
- Strong user understanding of product usage, Safeguards concerns, and solutions.
- Demonstrated ability to build product and engineering strategy across multiple cross-functional teams in a rapidly changing space.
- Experience designing and building metrics to evaluate risks, system performance, and user impact, and making clear tradeoffs.
- Ability to navigate and prioritize amidst rapidly changing product specs and flex into different domains.
- Evidence of judgment and decision making in ambiguous situations.
- Experience planning, building, launching, and measuring new products/systems in a zero-to-one environment.
- Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
- Creative thinking about risks and benefits of new technologies beyond checklists and playbooks.
Preferred Qualifications
- 5+ years in product management with focus on fast problem understanding, building roadmaps with tractable progress, and detailed work on data, detection & interventions, infrastructure & tools, and/or evals.
Compensation
Annual Salary: $305,000 - $385,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
- Location-based hybrid policy: staff expected to be in an office at least 25% of the time (may vary by role).
- Minimum years of experience: will correlate with internal job level requirements.
- Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist, though not every role/candidate may be successfully sponsored.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
How we work / Culture
Anthropic emphasizes big-science, collaborative research, frequent research discussions, and communication skills. The team values impact on steerable, trustworthy AI and includes cross-disciplinary researchers and engineers.