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. You thrive in ambiguous environments and can uncover latent, non‑obvious use cases for nascent technologies, bringing these insights back to research.
[Pipeline] Product Manager, Research (Code) na Anthropic
Híbrido - San Francisco, CA, USA
Ver mais vagas na AnthropicSalary
USD 305,000 - 385,000
Requirements
Skills
- Deep passion and curiosity for AI and LLMs. Use AI regularly.
- First-principles thinker with ability to navigate ambiguity, flex into different domains based on business problem, find simple solutions.
- Deep technical background with 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 ability to synthesize vague or contradictory feedback into actionable priorities.
- Track record of launching ambitious products that achieved distribution or commercial success.
- Intellectual curiosity without ego—comfortable asking questions and learning independently.
- Creative thinking about risks and benefits of new technologies, moving beyond past checklists and playbooks.
- Creative, hacker spirit and love solving puzzles.
- 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus).
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.
Technologies
PythonSQL
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