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
Experimentation @ 3
LLM
Machine Learning
Product Management @ 1
Python @ 6
SQL @ 6
- 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
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value.
We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI.
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 we have an objective view of market capabilities and our position
- Work with and influence a diverse set of stakeholders, including research, product engineering, and platform engineering teams
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
- Possess a deep technical background with a strong grasp of AI/ML concepts and are willing to go deep on technical solutions; have a data-driven mindset with working proficiency in Python and SQL
- Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities
- Have a track record of launching ambitious products that have achieved distribution or commercial success
- 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, with experience launching new products and scaling existing ones (founder background is a plus)
Logistics
- 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
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.