Greenhouse ·
full-time[DH] Engineering Manager, AI Observability
Anthropic · San Francisco, CA
Anthropic is an artificial‑intelligence research and development company focused on building reliable, interpretable and steerable AI systems. The team responsible for AI observability creates internal tools that let researchers ask open‑ended questions of massive, unstructured datasets and maintain human oversight of model training and deployment. In this role the manager will lead a group of research engineers who design and implement AI‑driven monitoring systems that process tens of thousands of conversations or documents, turning them into structured, trustworthy insights. Work spans the full stack, from core analysis frameworks to user‑facing interfaces, and involves close collaboration with safety researchers and policy teams to prioritize and deliver solutions. The manager also guides hiring, coaching, and career development for the team, and helps define strategic direction and processes. The position suits candidates with at least two years of people‑management experience, five or more years of software engineering background that includes exposure to machine‑learning and large‑language‑model applications, a strong interest in AI safety, and a track record of building reliable internal tools.
Education
- Level: Bachelor's degree
- Courses: Bachelor's
Key Skills
Experience required
5-5 years experienceAbout the Role As an Engineering Manager you will lead research engineers building AI-based monitoring systems that analyze large, unstructured datasets and produce trustworthy insights. The team works across the full stack from core analysis frameworks to user‑facing applications. Responsibilities Lead design and implementation of AI monitoring systems Extend and improve core frameworks for processing large text volumes Partner with researchers and safety teams to prioritize work Develop agentic integrations for autonomous investigation Contribute to strategic direction and investment decisions Coach and support reports for professional growth Run recruiting efforts and design hiring processes Design processes for effective team operation Requirements At least 2 years of people management experience 5+ years of software engineering experience with ML systems exposure Familiarity with LLM application development (context engineering, evaluation, orchestration) Experience building tools with strong UX, reliability, and documentation focus Ability to switch between infrastructure and product work Strong collaboration in cross‑functional environments Eligibility Minimum education: Bachelor’s degree
Skills for this role
Required skills
Also mentioned in the listing
| Role | [DH] Engineering Manager, AI Observability |
|---|---|
| Company | Anthropic |
| Location | San Francisco, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-23 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4[DH] Engineering Manager, AI Observability at Anthropic: frequently asked questions
- Who can apply for the [DH] Engineering Manager, AI Observability role at Anthropic?
- The listing asks for Bachelor's degree (Bachelor's); 5-5 years of experience.
- What skills does the [DH] Engineering Manager, AI Observability role require?
- The listing highlights Software Engineering, Machine Learning, LLM Development, Data Processing, Observability, User Experience. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the [DH] Engineering Manager, AI Observability position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the [DH] Engineering Manager, AI Observability role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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