Tech Stack
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.
AI @ 3
Communication @ 6
LLM
Machine Learning
Product Management @ 1
Python @ 5
SQL @ 5
- 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 Product Manager for the Research team will own ideation and deployment of new models and products that advance frontier, safe AI technology. You will partner closely with research teams to productize credible applied research, identify high-potential use cases grounded in customer needs, and help bring those products to real-world impact.
Responsibilities
- Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems
- Partner with research to define, improve, and ship model capabilities within a research area
- Identify nascent research that could become transformative products
- Synthesize user insights into actionable requirements and evaluations
- Understand the AI landscape and ecosystem, ensuring an objective view of market capabilities and Anthropic's position
- Work with and influence diverse stakeholders, including research, product engineering, and platform engineering teams
Requirements
- 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus)
- Deep passion and curiosity for AI and LLMs; regular use of AI
- Deep technical background with a strong grasp of AI/ML concepts; willingness to go deep on technical solutions
- Data-driven mindset with working proficiency in Python and SQL
- Strong user empathy and ability to synthesize vague or contradictory feedback into actionable priorities
- Track record of launching ambitious products that have achieved distribution or commercial success
- First-principles thinking and ability to navigate ambiguity; comfortable flexing into different domains
- Intellectual curiosity, collaborative mindset, and strong communication skills
Compensation
- Annual salary range: $305,000 - $385,000 USD
Logistics
- Locations: San Francisco, CA and New York City, NY
- Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time
- Education: Bachelor's degree in a related field or equivalent experience required
- Visa sponsorship: Anthropic states they sponsor visas and will make reasonable efforts to assist when extending an offer
How we're different
- Anthropic focuses on a few large-scale research efforts and values collaborative, high-impact AI research. The team values communication and frequent research discussions to pursue high-impact work.
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours and a collaborative office environment
Application notes
- Candidates are encouraged to apply even if they do not meet every qualification listed. Anthropic provides guidance on acceptable AI usage during the application process.
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