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At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. The quality of Harvey’s AI & Search systems is of critical importance. Our customers expect us to produce accurate, specific, verifiable and personalized results across all of our product surfaces. They also expect the quality of our answers to continuously get benchmarked and improved. In this role, you will drive overall AI & results quality across all of Harvey’s products (Assistant, Harvey Word, Vault, Workflows & Agents, and net new products).
Job Responsibility:
Establish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation
Build out core AI quality building blocks that can be reused across different teams and surface areas
Own search & retrieval quality, both for AI applications as well as other use cases
Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products
Work closely with platform engineering to scale our capabilities
Requirements:
Significant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies
Excellent software engineering skills
experience working in teams that built and operated production systems
Excellent communication skills, both written and verbal
Ability to roll up your sleeves and build team, processes, and technology from the ground up
A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields