Ai Automation Engineer, Customer Education
harvey
Remoto
Remote
AI
Job Score
100 pts
Remote model (+90)
AI (+10)
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. With 1500+ customers in 60+ 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 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 Customer Education team is defining what best-in-class AI education looks like for legal professionals, and we're building the technical infrastructure to make that possible at scale. We are looking for an AI Automation Engineer to own the systems behind Harvey Academy and the help center, from AI agents and automation pipelines to video content and beyond.
You will partner directly with the Customer Education Strategist Lead, content specialists, and cross-functional teams to translate educational strategy into production-grade technical solutions. This is a high-autonomy role with direct ownership of systems that shape the customer experience at a category-defining legal AI company.
This is a rare opportunity to be the technical mind embedded within a high-performing, strategy-driven team. You'll be the person who looks at a manual, time-intensive content operation and replaces it with something smarter, faster, and scalable.
AI-powered content generation, automated publishing pipelines, and personalized learning at scale are challenges the industry is still figuring out. The solutions you build will directly determine how quickly Harvey's customers become experts on the platform. If you're an engineer who wants outsized influence, a short path from idea to impact, and the chance to help define what generative AI education looks like, this is that role.
What You'll Do
Build and maintain AI agents using LLM APIs (Anthropic Claude, OpenAI) to automate content creation, review, and publishing workflows across Harvey Academy and the help center.
Own and optimize the learning technology stack, including Skilljar and Sanity CMS integrations, ensuring reliability, extensibility, and seamless content publishing.
Identify and eliminate bottlenecks in content operations by building automation where it doesn't exist yet.
Partner with Product, User Operations, and GTM to identify opportunities for systems improvement and AI-driven innovation across the customer education ecosystem.
Use technical expertise to explore implementation of interactive learning components based on instructional design direction from team members.
What You Have
5+ years of experience in software engineering or automation engineering, with demonstrated experience designing and building API integrations
Proficiency with modern web technologies (HTML, CSS, JavaScript, and React or similar), ideally in a fast-paced or high-growth environment.
Hands-on experience building AI agents, LLM-powered workflows, including prompt engineering and API integrations with platforms like Anthropic Claude or OpenAI.
Track record of supporting production systems end-to-end, ideally including LMS platforms, CMS tools, or similar content delivery infrastructure.
Strong ability to operate autonomously, translating business needs into well-architected technical solutions with minimal oversight.
Excellent communication skills with the ability to collaborate closely with non-technical teammates and explain technical tradeoffs clearly.
Comfort working in documentation-heavy or content-ops environments
Nice to Have
Familiarity with content governance or audit systems, including automated review triggers and freshness logic
Experience building and operating AI video generation pipelines, using tools like ElevenLabs or equivalent, to produce scalable video content.
Experience coding interactive elements within LMS platforms
Compensation
$123,600 - $185,400
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-ML1
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
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Engineering
Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.
Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.
Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.
About Infrastructure and DevOps
Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.
Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).
DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.
About Account Manager
The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.
Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.
Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.
About Talent Acquisition
Talent Acquisition is the strategic area responsible for attracting, selecting, and hiring the best professionals for the organization. Unlike traditional recruitment, TA acts as a strategic business partner, aligning talent acquisition with the company's long-term objectives.
Key skills include advanced sourcing, employer branding, labor market analysis, talent pipeline management, and candidate experience. Tools like LinkedIn Recruiter, ATS (Greenhouse, Lever, Ashby), and assessment platforms are essential.
TA professionals in technology companies are highly valued, especially those who master tech sourcing, workforce planning, and recruitment metrics like time-to-hire and cost-per-hire.
About Systems Analyst
The Systems Analyst is the professional responsible for analyzing, designing, and implementing technology solutions that meet business needs. They act as a bridge between business areas and the development team, ensuring that systems deliver real value to the organization.
Key skills include requirements gathering and analysis, process modeling (BPMN), data modeling, technical and functional documentation, system integration (APIs, microservices), and knowledge of ERPs and CRMs. Tools like Jira, Confluence, Visio, and project management platforms are essential.
Systems Analysts in technology companies are highly valued, especially those who master agile requirements analysis (user stories, backlog), system integration, and solution architecture. The field offers opportunities from junior analyst to solution architect, with a focus on efficiency, quality, and technological innovation.