# [DH] Engineering Manager, AI Observability at Anthropic

> Closed role observed by RunReq as of 2026-10-15T00:27:01.096394+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA
- Team: AI Research & Engineering
- Compensation: $405K–$850K /YR
- First observed: 2026-09-23T13:44:16.723213+00:00
- Days open: 12
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5429202008)

## Shortened description

### Key responsibilities

- Lead the design and implementation of AI monitoring systems for AI training and deployment.
- Improve frameworks that process large volumes of unstructured text and develop AI integrations for investigations and actions.
- Set team priorities with researchers and safety teams based on their analytical needs.
- Coach reports, lead recruiting, and create processes that help the team work effectively.

### Qualifications needed

- At least two years of management experience and five or more years of software engineering experience with meaningful exposure to machine learning systems.
- Experience with large language model application development, including context engineering, evaluation, and orchestration.
- Experience building tools for others, with attention to user experience, reliability, and documentation.
- Preferred: Experience in AI safety, alignment, responsible deployment, data science, large scale data processing, monitoring systems, observability, or developer platforms.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 7
- Company median days open: 55

## Interpretation

- RunReq records observed job postings; it does not show applicant volume or completed hires.
- The linked employer posting is authoritative for the full description and application process.
- Human-readable job page: http://runreq.com/jobs/0c89a532-913d-889c-97da-84a2283d020e
- Site-wide agent directory: http://runreq.com/llms.txt