[Pipeline] Product Manager, Research
Product Manager for Anthropic's Research team, owning ideation, strategy, and deployment of new frontier AI models and products. Requires deep AI technical background, product launch track record, and ability to bridge research with customer needs in ambiguous environments.
About the job
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
Minimum Qualifications
- Deep passion and curiosity for AI and LLMs; use AI regularly
- 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
- Deep technical background with a strong grasp of AI/ML concepts; willing to go deep on technical solutions; data-driven mindset with working proficiency in Python and SQL
- Strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities
- Track record of launching ambitious products that have achieved distribution or commercial success
- 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
- Creative, hacker spirit and love solving puzzles
Preferred Qualifications
- 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus)
Compensation
Annual Salary: $305,000—$385,000 USD
Education
- 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
Skills
Product Management, AI, LLMs, Python, SQL, AI/ML, Roadmapping, User Research, Stakeholder Management
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