Position Details

Type Full-Time

Experience mid

Exp. Years 4+ years

Education Not specified

Category Human Resources & Recruiting

About this role

This role involves managing the People Products team at Anthropic, focusing on building AI-native workflows and tools to support HR and organizational culture, with high autonomy and rapid iteration.

Key Responsibilities

Build full-stack AI-native tools
Design and implement workflows
Collaborate with stakeholders
Make architecture decisions
Ship features rapidly

Technical Overview

The environment emphasizes full-stack development, AI-native workflows, and rapid prototyping/deployment of LLM-based features, with a focus on user engagement and feedback.

Ideal Candidate

The ideal candidate is an engineering manager with over 4 years of experience leading high-performing teams in ambiguous environments. They have shipped LLM-native features or applications, are self-sufficient end-to-end, and excel at building impactful AI-native tools for people processes.

Must-Have Skills

4+ years engineering managementExperience shipping LLM-native features or applicationsAbility to build features independentlyHigh-quality barUser engagement

Nice-to-Have Skills

Experience with applied AI in HR or people workflowsProduct architecture decisionsEnd-to-end development

Tools & Platforms

LLMAI-native workflows

Required Skills

Full-stack developmentAI-native workflowsPrototypingProduction deploymentUser engagementFeedback iteration

Hard Skills

Full-stack developmentAI-native workflowsProduct designPrototypingProduction deploymentLow-structure environmentUser engagementFeedback iteration

Soft Skills

AutonomyProblem-solvingCross-functional collaborationCommunicationFast-paced environment adaptation

Industry & Role

Industry Technology / AI / People Operations

Job Function Lead development of AI-native tools to enhance organizational processes at Anthropic

Keywords for Your Resume

Engineering ManagerPeople ProductsAI-native workflowsFull-stack developmentPrototypingProduction deploymentLow-structure environmentUser engagementFeedback iterationLLM-native featuresAI applicationsCross-functionalAutonomyEngineering ManagementApplied AI

Deal Breakers

Less than 4 years engineering management experience, No experience shipping LLM-native features, Lack of ability to build features independently

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Engineering Manager, People Products

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