Research Manager, Horizons

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 Horizons Team

The Horizons team at Anthropic is at the forefront of pushing the boundaries of AI capabilities and safety, focusing on research in reinforcement learning with Large Language Models (LLMs).

Areas of interest include:

• Code Generation
• Reasoning and Complex Problem Solving
• Tool Use and Agents
• Fundamental RL Science

We collaborate closely with various teams across Anthropic, from product to alignment science, and have supported every major production model launch.

Role: Research Manager, Horizons Team

We are seeking an experienced Research Manager to lead our research effort in London. In this role, you will partner closely with the research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution.

Responsibilities:

• Collaborate with the research lead on team management, project planning, vision-setting, and people development
• Translate complex, novel research ideas into actionable goals and work with the team to achieve them
• Manage day-to-day execution of the team's work
• Ensure team prioritization and workstreams align with overall goals and Anthropic's mission
• Support and develop team members through effective people management practices
• Drive the team's recruiting efforts in partnership with the research lead
• Drive major collaborations with other teams across Anthropic
• Maintain a deep understanding of the team's technical work and its implications for AI safety

Qualifications:

• Minimum 3-5 years of management experience in a research or technical environment
• Strong background in machine learning, AI, or a related technical field
• Demonstrated ability to lead and manage high-performing technical teams
• Excellent project management skills with the ability to balance multiple priorities
• Strong communication skills and the ability to translate complex technical concepts for various audiences
• Passion for AI safety and a commitment to ensuring the responsible development of AI systems
• Experience working with or managing teams focused on reinforcement learning, LLMs, or related areas is highly desirable

You might be a good fit if you:

• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Excel at building strong relationships with stakeholders at all levels
• Are a quick learner, capable of understanding and contributing to discussions on complex technical topics
• Have experience managing teams through periods of rapid growth and change
• Are comfortable working in a fast-paced, research-driven environment where priorities may shift quickly
• Have a track record of translating research breakthroughs into practical applications or prototypes

At Anthropic, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds.

The expected salary range for this position is:

Annual Salary:$425,000—$510,000 USD

Logistics

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.  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 w