Harvey

Harvey

Posted via Ashby

Support Operations Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$124K – $185K/yr
Location
New York, United States
Work arrangement
Remote
Employment
Full-time
Experience
5-7+ years of experience in support operations or CX tooling in an AI-forward environment

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Support Operations Engineer will build and maintain the automation infrastructure, AI-assisted workflows, and reporting systems that help Harvey's support specialists triage, research, and resolve tickets. Reporting to the Support Operations Manager, the role focuses on custom integrations, cross-stack automation, and technical capabilities built beyond the core Zendesk platform.

What You'll Do

  • Design, build, and maintain AI-assisted tools including agent-facing copilots, knowledge surfacing tools, and response assist features
  • Build custom integrations and cross-tool workflows across the support stack
  • Build and maintain reporting infrastructure for support volume, quality, efficiency, and trends
  • Architect automated or AI-assisted alternatives to manual and repetitive agent workflows
  • Integrate tooling improvements into agent training and knowledge surfacing
  • Evaluate new tools, run structured pilots, and make recommendations to leadership

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

5-7+ years of experience in support operations or CX tooling in an AI-forward environment; demonstrated track record of shipping AI-assisted workflows and automation in live support environments; hands-on experience with LLM-powered copilots, RAG systems, agent assist platforms, APIs, integration layers, and reporting systems; strong operational intuition; clear communication skills

Required

  • Support operations or CX tooling experience in an AI-forward environment
  • Shipping AI-assisted workflows and automation in live support environments
  • LLM-powered copilots, RAG systems, and agent assist platforms
  • Support platforms, APIs, and integration layers
  • Building and owning reporting systems end-to-end
  • Experience working in or alongside support teams
  • Translating technical decisions for non-technical stakeholders and leadership

Preferred

  • Zendesk strongly preferred

Original job description

Content provided by the employer

Why Harvey

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.

Role Overview

Harvey's support org is growing fast, and keeping our specialists equipped to handle an increasingly complex product requires more than good processes, it requires smart tooling. We're looking for a Support Operations Engineer who has built this before and can hit the ground running.

Reporting to the Support Operations Manager, you'll own the automation infrastructure, AI-assisted workflows, and reporting systems that make our specialists faster and more effective. Working alongside the Support Systems Administrator (platform infrastructure and config) and the Support Operations Lead (Zendesk-native features including Copilot and Chatbot), your lane is everything built on top of or extending beyond that foundation, custom integrations, cross-stack automation, and the technical layer that connects it all.

This role is for someone who deeply understands support operations, has a track record of building AI and automation tooling in production environments, and is energized by making support and human agents better.

What You'll Do

  • Design, build, and maintain AI-assisted tools that improve how support specialists triage, research, and resolve tickets; including agent-facing copilots, knowledge surfacing tools, and response assist features

  • Own the automation layer across the support stack, building custom integrations, cross-tool workflows, and solutions that extend beyond what Zendesk natively offers

  • Partner with Data team to build and maintain reporting infrastructure that gives the support org real-time and historical visibility into volume, quality, efficiency, and trends

  • Identify manual or repetitive agent workflows and architect automated or AI-assisted alternatives that reduce friction without sacrificing quality

  • Partner with the Support Enablement Lead to integrate tooling improvements into how agents are trained and how knowledge is surfaced in the moment of need

  • Collaborate with the Support Systems Administrator to ensure automation and AI initiatives are implemented and maintained cleanly within the core support stack

  • Partner closely with the Support Systems Administrator and Support Operations Lead — they own the Zendesk platform and its native features; you own what's built beyond it

  • Evaluate new tools, run structured pilots, and bring recommendations to leadership with clear rationale and data

  • Document systems, integration logic, and automation workflows to ensure maintainability as the org scales

What You Have

  • 5-7+ years of experience in support operations or CX tooling in an AI-forward environment

  • Demonstrated track record of shipping AI-assisted workflows and automation in live support environments

  • Deep hands-on experience with AI tooling in the support/CX space: LLM-powered copilots, RAG systems, agent assist platforms, and how to deploy them responsibly at scale

  • Expert-level familiarity with support platforms (Zendesk strongly preferred), including working with APIs and integration layers beyond out-of-the-box configuration

  • Built and owned reporting systems end-to-end

  • Strong operational intuition: you've worked in or alongside support teams and understand what agent friction actually looks like

  • Clear communicator who can translate technical decisions for non-technical stakeholders and leadership


Compensation

$124,000 - $185,000 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-AD1

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]

Harvey

About the company

Harvey

Startup

Harvey is an innovative technology company focused on streamlining the recruitment process through cutting-edge artificial intelligence solutions. By leveraging data-driven insights, Harvey enhances the connection between employers and job seekers, making it easier for companies to find the right talent efficiently. With a commitment to improving the hiring experience for both candidates and organizations, Harvey is at the forefront of transforming traditional recruitment methods into a more effective, user-friendly approach.