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 @ 5
LLM
Machine Learning
Product Management @ 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
As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals—work that directly influences how millions of people experience AI. You will systematically identify high-priority behavioral improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models. The ideal candidate combines deep user empathy with the judgment to navigate nuanced behavior questions where there are no clear right answers.
Responsibilities
- Define behavioral defaults and steerability constraints
- Develop and maintain taxonomies of model behaviors across capabilities
- Identify, triage, and prioritize behavior issues and opportunities, coordinating input from Users, Research, Product, and Safeguards teams
- Amplify alignment research breakthroughs, translating them into product, process, and model improvements
- Deeply understand user interaction patterns to identify behavior improvements that make Claude more helpful and safe
- Contribute to evals that measure alignment progress
- Identify and scale initiatives and tools that help researchers ship alignment improvements faster
Requirements
- Have a deep passion and curiosity for AI and LLMs. Use AI regularly.
- Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions
- Have a track record of delivering products and features to end-users (consumer or end-user b2b focus)
- Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities
- Have strong judgment and model taste, with the ability to make tradeoffs when there is no clear right answer
- Have a strong grasp of ML concepts and are willing to go deep on technical solutions
- Have intellectual curiosity without ego—comfortable asking questions and learning independently
- Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks
- Have a creative, hacker spirit and love solving puzzles
Preferred Qualifications
- Have 5+ years in product management leading scaled conversational AI products.
Logistics
- Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time (some roles may require more time in our offices).
- Visa sponsorship: We do sponsor visas, and if Anthropic makes an offer, it will make every reasonable effort to get you a visa, retaining an immigration lawyer to help with this.
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
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