[DH] Engineering Manager, AI Observability

Anthropic; San Francisco (CA); Hybrid; USD 510,000 - 850,000; Full time

Job summary

Anthropic is seeking an Engineering Manager to lead a team of researchers and engineers focused on building scalable AI analysis tools for large unstructured datasets, from core analytics to user-facing interfaces.

You will shape technical direction, mentor engineers, and partner with safety and research teams to ensure trustworthy, measurable insights while evolving the platforms that power our Claude-based workflows.

Qualifications

• Bachelor’s degree in a relevant field.
• 5+ years of software engineering experience with ML systems.

Responsibilities

• Lead the design and implementation of AI-based monitoring systems for AI training and deployment
• Extend and improve core frameworks for processing large volumes of unstructured text
• Partner with researchers and safety teams across Anthropic to understand their analytical needs, and prioritize the team’s work to build solutions
• Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
• Coach and support your reports to understand and pursue their professional growth
• Run the team’s recruiting efforts, ensuring we can grow as quickly as we need
• Design processes that help the team operate effectively

Skills

People management

ML systems exposure

LLM development

Cross-functional collaboration

UX-oriented

Education

Bachelor's degree

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Team

As AI training and deployments scale, the volume of data we need to monitor and understand is exploding. Our team uses Claude itself to make sense of this data. We own an integrated set of tools enabling Anthropic to ask open-ended questions, surface unexpected patterns, and maintain meaningful human oversight over massive datasets.

Our tools are widely adopted internally - powering ongoing enforcement, threat intelligence investigations, model audits, and more - and we’re looking for an experienced engineering manager to help us both scale up existing applications and go zero-to-one on new ones.

About The Role

As an Engineering Manager for the team, you’ll lead research engineers who design and build systems that let AI analyze large, unstructured datasets - think tens or hundreds of thousands of conversations or documents - and produce structured, trustworthy insights. The team works across the full stack, from core analysis frameworks through user-facing apps and interfaces.

This is a high-leverage role. The tools you build will be used by dozens of researchers and investigators, and directly shape our ability to measure and mitigate both misuse and misalignment.

Responsibilities

• Lead the design and implementation of AI-based monitoring systems for AI training and deployment


• Extend and improve core frameworks for processing large volumes of unstructured text


• Partner with researchers and safety teams across Anthropic to understand their analytical needs, and prioritize the team’s work to build solutions


• Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings


• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest


• Coach and support your reports to understand and pursue their professional growth


• Run the team’s recruiting efforts, ensuring we can grow as quickly as we need


• Design processes that help the team operate effectively

You May Be a Good Fit If You

• Are an experienced manager (at least 2 years) and actively enjoy people management


• Have 5+ years of software engineering experience, with meaningful exposure to ML systems


• Are excited about the problem of scaling human oversight of AI systems


• Are familiar with LLM application development (context engineering, evaluation, orchestration)


• Enjoy building tools that other people use - you care about UX, reliability, and documentation


• Can context-switch between deep infrastructure work and user-facing product thinking


• Thrive in collaborative, cross-functional environments

Strong Candidates May Also Have

• Research experience in AI safety, alignment, or responsible deployment


• Strong people management experience: coaching, performance evaluation, mentorship, career development


• Experience recruiting for your team: predicting staffing needs, designing interview loops, evaluating candidates, and closing them


• Practical experience with both data science and engineering, including developing and using large-scale data processing frameworks


• Experience with productionizing internal tools or building developer-facing platforms


• Background in building monitoring or observability systems


• Comfort with ambiguity - our team is small and growing, and you’ll help define what we become

Annual Salary

$405,000-$850,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience


• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience


• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position


• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.


• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We’re Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Base...