Product Manager, App Foundations for Scalable AI

Candidate

San Francisco (CA)

Hybrid

USD 385,000 - 460,000

Full time

7 days ago
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Job summary

Anthropic seeks a Product Manager to own the end-to-end strategy for Claude-related experiences, including memory, voice mode, and artifacts. You will lead cross-functional efforts to translate frontier AI capabilities into intuitive user experiences while upholding safety and responsible AI principles.

The role requires strong systems thinking, data-driven decision making, and excellent collaboration with design, engineering, data science, research, and marketing.

Qualifications

  • Experience shaping products with millions of users.
  • Strong taste for delightful experiences and craft.
  • Analytical mindset with experimentation and data-driven decisions.
  • Excellent stakeholder management and communication skills.
  • Thrives in fast-paced, ambiguous environments.
  • Passion for AI technology and its societal impact.
  • Ability to collaborate with engineers and researchers.

Responsibilities

  • Own end-to-end strategy, roadmap, and execution.
  • Design capabilities as scalable systems across Claude products.
  • Translate frontier model capabilities into simple, intuitive experiences.
  • Analyze metrics and user feedback to identify opportunities.
  • Balance rapid iteration with AI safety and ethics.
  • Partner with design, engineering, data science, research, and marketing to ship improvements at a fast cadence.

Skills

Product strategy
Roadmap planning
Data-driven decisions
Communication
Stakeholder management
Ambiguity handling
AI product sense
Technical background

Education

Bachelor’s degree or equivalent

Job description

Anthropic seeks a Product Manager to own the end-to-end strategy for Claude-related experiences, including memory, voice mode, and artifacts. You will lead cross-functional efforts to translate frontier AI capabilities into intuitive user experiences while upholding safety and responsible AI principles.

The role requires strong systems thinking, data-driven decision making, and excellent collaboration with design, engineering, data science, research, and marketing.

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