Harvey
Automation Engineer, Customer Education
About this role
Harvey seeks an Automation Engineer to build and maintain the technical infrastructure powering Harvey Academy and the help center. You'll design AI-driven automation pipelines, optimize content delivery systems, and translate educational strategy into production-grade solutions that scale legal AI training.
What you'll do
- Build AI agents using LLM APIs to automate content creation, review, and publishing workflows
- Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations
- Identify and eliminate operational bottlenecks by designing automation systems
- Partner with Product, User Operations, and GTM teams on ecosystem improvements
- Implement interactive learning components based on instructional design requirements
- Support production systems end-to-end with reliability and extensibility focus
What they're looking for
- Automation engineering and API integration design
- Modern web technologies (HTML, CSS, JavaScript, React)
- AI agent development with Claude or OpenAI platforms
- LMS and CMS platform experience
- Prompt engineering and LLM workflows
- Autonomous problem-solving and technical architecture
- Cross-functional collaboration and technical communication
- Content operations and documentation systems
Benefits
- Competitive salary: $123,600 - $185,400
- High autonomy with direct ownership of customer-facing systems
- Opportunity to shape AI-powered education at scale
- Fast-moving environment with short path from idea to impact
- Work alongside strategy-driven team in a category-defining company
- Remote-friendly arrangement in New York location
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Harvey
Harvey builds an AI-powered legal services platform that automates and streamlines legal workflows for corporate, in-house, transactional, and litigation teams. The company is hiring Legal Engineers with diverse practice backgrounds to bridge customers and product development, uncovering legal workflow challenges and shaping the platform's direction based on real-world legal work.
View all jobs at HarveyLikely interview questions
- Walk us through a time you built an API integration that automated a manual, time-intensive process. What was the bottleneck, and how did you measure success?
- Describe your hands-on experience with LLM APIs like Claude or OpenAI. What did you build, and how did you handle prompt engineering or reliability in production?