Description
We are seeking an experienced Engineering Manager to join our Research Tools team. As a manager, you will support a team of machine learning and distributed systems experts to make our 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 will work with research teams to incorporate their innovations into our production finetuning 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.
You may be a good fit if you:
- 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
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary: $1-$2 USD