Product Management, Research

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 305,000 - 385,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Lovely office space

Job summary

Anthropic, a San Francisco–based AI safety company, is seeking a Product Manager for the Research team to own ideation and deployment of new models and products, advancing frontier safe AI technology.

You will work closely with research to productize applied research, identify high‑potential use cases grounded in customer needs, and coordinate with research, product engineering, and platform teams to ship capabilities.

Qualifications

• 5+ years in product management with launch experience.
• First-principles thinker who navigates ambiguity.
• Strong AI/ML technical background and ability to dive deep.
• Proficiency in Python and SQL.
• Experience launching ambitious products with distribution or commercial success.
• Intellectual curiosity and ability to learn independently.

Responsibilities

• Lead vision, strategy, roadmap, and execution of frontier technologies.
• Partner with research to define, improve, and ship model capabilities.
• Identify nascent research that could become transformative products.
• Synthesize user insights into actionable requirements and evaluations.
• Understand AI landscape and market position.
• Collaborate with diverse stakeholders across teams.

Skills

Product management

AI/ML concepts

User empathy

Problem solving

Ambiguity navigation

Distributed collaboration

Education

Bachelor's degree or equivalent

Tools

Python

SQL

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI that is safe and beneficial for users and society.

About the role

As a Product Manager for the Research team, you will own ideation and deployment of new models and products, advancing frontier safe AI technology. You will work closely with research teams to productize applied research and identify high‑potential use cases grounded in customer needs.

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 to ensure 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.

Qualifications

• 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus).
• First‑principles thinker who can navigate and execute amidst ambiguity and find simple, easy‑to‑understand solutions.
• Deep technical background with a strong grasp of AI/ML concepts, willing to dive deep into technical solutions; 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 achieved distribution or commercial success.
• Intellectual curiosity without ego—comfortable asking questions and learning independently.
• Creative, hacker spirit, and love solving puzzles.

Education & Experience

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.

Minimum years of experience: 5+ years in product management (aligned with internal level requirements).

Compensation & Benefits

Annual Salary: $305,000 — $385,000 USD.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate.

Location & Logistics

• Location‑based hybrid policy: Staff to be in office at least 25% of the time; some roles may require more.
• Visa sponsorship: We sponsor visas for eligible candidates.

EEO and Diversity Commitment

Research shows that people who identify as being from underrepresented groups experience imposter syndrome and doubt their candidacy. We urge you not to exclude yourself prematurely and seek to include diverse perspectives on our team.