Why This Job is Featured on The SaaS Jobs
This Engineering Manager, AI Quality role stands out in the SaaS landscape because it sits at the intersection of product trust and platform differentiation for an AI-enabled, enterprise-grade application. Quality for AI and search is not a back-office concern in SaaS; it directly shapes customer confidence across multiple product surfaces, especially when outputs must be accurate, verifiable, and consistent.
From a career standpoint, the mandate to establish evaluation programs, reusable quality building blocks, and continuous benchmarking maps closely to how modern SaaS companies operationalize AI in production. Experience here translates into widely applicable SaaS skills: defining measurable quality standards, building feedback loops that connect product usage to model and retrieval improvements, and partnering across product and platform engineering to scale systems responsibly.
The role is best suited to an engineering leader who enjoys turning ambiguous quality goals into durable processes and tooling, and who can balance hands-on technical depth with cross-team influence. It will appeal to professionals drawn to rigorous experimentation, clear metrics, and the practical realities of maintaining AI performance as a SaaS product portfolio expands.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Why Harvey
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.
This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
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). This includes establishing the right evaluation processes and tools, creating and evangelizing reusable AI building blocks, and working closely with all product teams to continuously improve the quality of Harvey’s AI outputs. You will be responsible for building out tools and processes and for establishing a strong culture of scientific experimentation, rigorous evaluation, and iterative improvements.
What You'll Do
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.
What You Have
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.
Compensation Range
$297,000 - $390,000 USD
Please find our CA applicant privacy notice here.
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
