Product Management, Research

Anthropic; San Francisco (CA); Hybrid; USD 305,000 - 385,000; Full time

Benefits offered by this job

Competitive benefits

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space for collaboration

Job summary

Anthropic is seeking a Product Manager for the Research team to own ideation and deployment of frontier AI models and products, collaborating with research to productize applied work and identify high-potential use cases grounded in customer needs.

You will translate complex research into practical requirements, guide strategy, and drive cross‑functional initiatives with engineering and platform teams, shaping safe, beneficial AI at scale.

Qualifications

• Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus).
• Are a first-principles thinker with the ability to navigate ambiguity and simplify complex problems.
• Possess a deep technical background with AI/ML concepts and working proficiency in Python and SQL.
• Have strong user empathy and the ability to translate feedback into priorities.
• Have a track record of launching ambitious products with distribution or commercial success.

Responsibilities

• Lead vision, strategy, roadmap, and execution of frontier technologies leveraging AI 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 market capabilities to position Anthropic effectively.
• Collaborate with diverse stakeholders including research, product engineering, and platform engineering teams.

Skills

Product management

AI/ML concepts

Python

SQL

Data-driven mindset

Stakeholder management

User empathy

First-principles thinking

Ambiguity navigation

Product launch experience

Education

Bachelor's degree or equivalent

Tools

N/A

Job description

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.

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.

Qualifications

• Have a deep passion and curiosity for AI and LLMs. Use AI regularly.
• Have 5+ years in product management, with experience launching new products and scaling existing ones (founder background is a plus).
• 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.

Compensation

Annual salary range: $305,000—$385,000 USD.

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.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Office space for collaboration.

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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.