Joblaze summary

In the role of Engineering Manager for Research Tools at Anthropic, the individual will oversee a team focused on enhancing systems that facilitate large-scale machine learning finetuning and boost researcher productivity. Key skills include expertise in machine learning, distributed systems, and strong project management capabilities, alongside a commitment to people management and team development. This position is ideal for experienced managers who thrive in complex technical environments and have a background in bridging research and production. Anthropic emphasizes collaboration across various technical teams, making this role pivotal in driving innovation in AI safety and research.

Joblaze insights

Listed about 5 months ago — first seen on Joblaze May 23, 2026. Last confirmed on Anthropic's careers page October 28, 2026.
Salary band is below the typical range for Management roles (median ~$170,000).
AI/ML appears in 26.8% of 598 comparable lead management roles in United States.

Quick facts

Is the Engineering Manager, Research Productivity role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY.
What's the salary range?: Anthropic lists $1–$2 for this role.
How much experience is required?: At least 2 years of relevant experience for this Engineering Manager, Research Productivity role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets lead candidates for this position.
Is this full-time or contract?: Full-time for this Engineering Manager, Research Productivity role at Anthropic.

From the original posting

About Anthropic

About the role:

Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning 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 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.

About Anthropic:

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.

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.

Annual Salary:

$405,000—$850,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

Engineering Manager, Research Productivity