Responsibilities
- Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces (Claude.ai, 1P API, external Cloud providers).
- Write safety evals and communicate externally about safety.
- Drive impact via ruthless prioritization by clearly defining problems, solution options, clarity on both business & technical tradeoffs and clear requirements toward MVP vs. ideal state.
- Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
- Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
- Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
- Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
- Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
- Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
- Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs.
- Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
- Evidence of exercising judgment and decision making in ambiguous situations.
- 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.
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
- 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
Compensation
Annual Salary: $305,000—$385,000 USD
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.