At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
5+ years of experience in knowledge management, support operations, technical writing, or content operations.
Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
$88,000 - $132,000 USD
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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 [email protected]
Skills Required
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms such as Zendesk, Notion, or similar, including structuring, migrating, and maintaining content at scale.
- Experience using large language models in daily workflows to write, maintain, or improve content.
- Strong systems-thinking skills and the ability to write clear, retrievable content from complex technical or legal-product details.
- Ability to operate effectively in a fast-paced environment with frequent weekly product changes.
- Ability to use ticket trends, search behavior, and quality findings to prioritize content creation and updates.
- Ability to build relationships with cross-functional subject-matter experts and drive content review and adoption without direct authority.
Harvey Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvey and has not been reviewed or approved by Harvey.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental health support, and fertility benefits. This breadth indicates robust health protections within the total rewards package.
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Parental & Family Support — Paid parental leave is prominently offered with eligibility starting on day one. Family-building support complements leave policies to support different life stages.
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Equity Value & Accessibility — Equity is routinely positioned alongside competitive cash, with communications emphasizing pre-IPO upside. This signals meaningful access to ownership as part of compensation.
Harvey Insights
What We Do
Harvey is a generative AI company backed by Sequoia and OpenAI's startup fund building the future of professional services.








