Used Tools & Technologies
Not specified
Required 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
Product Management @ 1
Claude Code @ 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. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet, focusing on 0-to-1 product development to transform advanced research into innovative applications like Claude Code and MCP. As a Research Product Manager for the Labs teams, you will own ideation and development of new, moonshot products and lead experimental initiatives that push beyond current offerings.
Responsibilities
- Work with researchers to understand what's emerging and what it means for users
- Identify nascent research capabilities that could become transformative products
- Build prototypes yourself 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
- Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible
- Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems
Requirements / Qualifications
- 5+ years in product management, with experience launching new products and scaling existing products; founder background is a plus
- Deep technical background with experience working cross-functionally with engineering teams to ship technical products
- Ability to navigate and execute amidst ambiguity and flex into different domains based on the business problem
- Track record of launching ambitious products that have found distribution or commercial success
- Stay up-to-date and hands-on with emerging research and industry trends; prototype with AI tools like Claude Code
- We require at least a Bachelor's degree in a related field or equivalent experience
Compensation
Annual Salary: $385,000 - $460,000 USD
Logistics
- Locations: San Francisco, CA and New York City, NY
- Location-based hybrid policy: staff expected to be in one of our offices at least 25% of the time (some roles may require more time in office)
Visa & Other Notes
- Visa sponsorship: We do sponsor visas; if we make you an offer, Anthropic will make every reasonable effort to get you a visa and retains an immigration lawyer to help
- Anthropic is a public benefit corporation headquartered in San Francisco. They offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
Research & Culture
- The posting references Anthropic research directions including GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences
- The team values communication skills, collaboration, and pursuing high-impact, large-scale research efforts
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