Anthropic’s Research Tools team builds systems that support large‑scale, distributed finetuning runs and improve research productivity. As Engineering Manager, you’ll lead a team of machine learning and distributed systems experts to enhance tooling, support research and product teams, and drive infrastructure improvements.
Engineering Manager, Research Productivity at Anthropic
Hybrid - San Francisco, CA | New York City, NY
More jobs at AnthropicSalary
USD 405,000 - 850,000
Requirements
Skills
- At least 2 years of experienced management
- 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, closing them)
- Experience working with research teams, especially as part of a research-to-production pipeline
- Bachelor’s degree or equivalent combination of education, training, and/or experience
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 rapid growth
Technologies
machine learningdistributed systemsfinetuning pipeline
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