Moonshot Research PM – 0→1 AI Products

Anthropic Limited; San Francisco, New York (CA, NY); Hybrid; USD 385,000 - 460,000; Full time

Job summary

Anthropic is seeking a Research Product Manager for the Labs teams to own the ideation and development of new, moonshot products that translate cutting-edge research into transformative, safe AI applications. You will bridge research and product execution, leading 0-to-1 efforts from internal prototypes to shipped products.

You will work with researchers to identify nascent capabilities, build MVPs, and define product strategy for experimental initiatives beyond our current offerings, shaping

Qualifications

• Deep technical background with cross-functional engineering experience.
• Experience launching ambitious products with distribution or commercial success.
• Ability to navigate ambiguity and define new product categories.
• Familiarity with AI tools and research trends.

Responsibilities

• Work with researchers to understand emerging trends and implications for users.
• Identify nascent research capabilities that could become transformative products.
• Build prototypes to validate ideas before committing resources.
• Lead 0-to-1 product development from research to internal prototypes to shipped products.
• Define product strategy for experimental initiatives beyond current offerings.
• Creatively build MVPs/prototypes to validate product-market fit with low cost.
• Lead vision, strategy, roadmap, and execution of frontier technologies leveraging AI capabilities.

Skills

Technical background

Cross-functional teamwork

Product leadership

AI product strategy

Prototype development

Claude Code

Job description

Anthropic is seeking a Research Product Manager for the Labs teams to own the ideation and development of new, moonshot products that translate cutting-edge research into transformative, safe AI applications. You will bridge research and product execution, leading 0-to-1 efforts from internal prototypes to shipped products.

You will work with researchers to identify nascent capabilities, build MVPs, and define product strategy for experimental initiatives beyond our current offerings, shaping