Engineering Manager, Research Productivity

Anthropic; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Anthropic in New York is seeking a Research Tools Manager to lead a team focused on developing efficient systems for AI research. You will prioritize work, design effective processes, and support the professional growth of your team.

The ideal candidate will have at least 2 years of management experience and be deeply familiar with multifaceted technical systems. This role operates in a hybrid environment, requiring team members to be in the office at least 25% of the time, contributing to a collaborative atmosphere.

Qualifications

• At least 2 years of experience in people management.
• Familiarity with technical systems relevant to AI research and production.
• Experience in recruiting and staffing for technical teams.

Responsibilities

• Prioritize team’s work to support fast iteration on research projects.
• Design processes for effective team operation.
• Coach team members for professional growth.
• Efficiently run recruiting efforts for the team.

Skills

People management

Project management

Coaching

Collaboration with technical teams

Education

Bachelor’s degree or equivalent

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

Anthropic’s Research Tools team builds systems that support our large-scale, distributed fine‑tuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.

Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production fine‑tuning pipeline, product teams to help us iterate quickly on customer‑oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.

Responsibilities

• Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
• Design processes (e.g., postmortem review, incident response, on‑call rotations) that help the team operate effectively.
• Coach and support your reports to understand and pursue their professional growth.
• Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.

Fit

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.
• Are an experienced manager (at least 2 years) and actively enjoy people management.
• Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective.

Strong Candidates May Also Have

• Experience working with research teams, especially as part of a “research to production” pipeline.
• Strong people management experience: Coaching, performance evaluation, mentorship, career development.
• Strong project management skills: Prioritization, communicating across team/org boundaries.
• Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them.

Compensation

Annual Salary: $1—$2 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.

Deadline to Apply

None. Applications will be reviewed on a rolling basis.