Product Management, Research

About the role

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

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

Deep passion and curiosity for AI and LLMs
Use AI regularly
5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus)
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
Strong technical background with a strong grasp of AI/ML concepts and a 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
Creative thinking about the risks and benefits of new technologies, moving beyond past checklists and playbooks
Creative, hacker spirit and love solving puzzles

Qualifications

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

Benefits

Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space for collaboration

Pay

$305,000—$385,000 USD

Schedule

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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

Research Guidance

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Company Information

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.