Engineering Manager, Human Data Interfaces

Anthropics Technology Ltd•San Francisco, CA

18d•$405,000 - $485,000•Hybrid

About The Position

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. Anthropic's Human Data Interfaces team builds systems designed to collect data that improves our models. This includes developing novel interfaces for data vendors to use, including tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a manager, you'll support a team of engineers to build these systems efficiently, support fast iteration on data collection methods, and evolve our infrastructure to incorporate new research advances. You'll work with research teams to develop new ways to collect human data, and ensure that the data we're collecting meets our model training goals.

Requirements

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 of management experience) and actively enjoy people management
Are very good at building internal tools, including working with users of the tools to understand their needs
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
Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
We require at least a Bachelor's degree in a related field or equivalent experience.

Nice To Haves

Experience working with research teams, especially on human-in-the-loop systems or data collection pipelines
Background in building user-facing applications, particularly those involving complex UI interactions or annotation workflows
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

Responsibilities

Prioritize the team's work in collaboration with research teams to support fast iteration on data collection experiments and data quality
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
Setting direction for the team