Harvey

Build and evolve shared frontend infrastructure and partner with product teams to improve engineering velocity and application performance. | Strong experience with large-scale frontend systems or platform infrastructure and ability to improve developer experience through system thinking. | 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 We’re looking for experienced frontend engineers to help build and evolve Harvey’s frontend platform—the systems, tools, and abstractions that enable our engineering team to ship high-quality product experiences quickly and consistently. This team focuses on developer experience, performance, reliability, and scalability across our frontend stack. Rather than building one-off product features, you’ll create shared foundations that power all of Harvey’s user-facing applications. This is a high-impact role with broad scope across the engineering organization. You’ll work closely with product engineers, design, and infrastructure teams to define and drive the future of frontend development at Harvey. What You'll Do Build and evolve shared frontend infrastructure, including our design system and developer tooling Contribute to and evolve frontend architecture for scalability and performance Improve developer experience and engineering velocity Improve application performance and reliability Partner with product teams to drive adoption of platform systems Identify and reduce friction across the development lifecycle What You Have Strong experience working on large-scale frontend systems or platform-level infrastructure Ability to think in systems and abstractions, not just features A track record of improving developer experience or engineering velocity Experience influencing technical decisions across teams or driving adoption of shared systems Compensation $193,400 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-JJ1 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

Design and operate scalable, reliable production infrastructure including Kubernetes and cloud platforms. | 5+ years in software or production engineering with deep experience in cloud infrastructure, Kubernetes, infrastructure automation, and production operations. | 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 is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. What You'll Do Infrastructure Engineering & Technical Leadership • Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. • Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. • Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. • Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. • Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. • Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. Infrastructure Foundation & Production Operations • Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. • Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. • Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. • Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. • Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. • Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. • Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. • Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. • Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. What You Have • 5+ years of software, infrastructure, site reliability, or production engineering experience. • Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. • Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. • Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. • Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. • Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. • Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. • Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. • A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. • Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. • A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have • Experience supporting AI/ML or LLM infrastructure at scale. • Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. • Experience with multi-cloud infrastructure or hybrid cloud environments. • Experience building internal platforms or developer tooling that improves engineering velocity and production safety. Compensation $161,300 - $241,900 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. #LI-AN2 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

Design, build, and operate production infrastructure and Kubernetes platforms to support scalable AI workloads. | 5+ years in software or production engineering with deep experience in cloud infrastructure, Kubernetes, infrastructure automation, and production operations. | 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 is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. What You'll Do Infrastructure Engineering & Technical Leadership • Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. • Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. • Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. • Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. • Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. • Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. Infrastructure Foundation & Production Operations • Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. • Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. • Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. • Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. • Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. • Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. • Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. • Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. • Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. What You Have • 5+ years of software, infrastructure, site reliability, or production engineering experience. • Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. • Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. • Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. • Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. • Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. • Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. • Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. • A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. • Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. • A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have • Experience supporting AI/ML or LLM infrastructure at scale. • Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. • Experience with multi-cloud infrastructure or hybrid cloud environments. • Experience building internal platforms or developer tooling that improves engineering velocity and production safety. Compensation $161,300 - $241,900 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. #LI-AN2 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

Design, build, and operate production infrastructure and improve reliability, scalability, and security of AI workloads. | 5+ years in software or production engineering with deep experience in cloud infrastructure, Kubernetes, infrastructure automation, and security. | 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 is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. What You'll Do Infrastructure Engineering & Technical Leadership • Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. • Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. • Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. • Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. • Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. • Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. Infrastructure Foundation & Production Operations • Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. • Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. • Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. • Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. • Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. • Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. • Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. • Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. • Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. What You Have • 5+ years of software, infrastructure, site reliability, or production engineering experience. • Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. • Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. • Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. • Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. • Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. • Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. • Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. • A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. • Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. • A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have • Experience supporting AI/ML or LLM infrastructure at scale. • Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. • Experience with multi-cloud infrastructure or hybrid cloud environments. • Experience building internal platforms or developer tooling that improves engineering velocity and production safety. Compensation $161,300 - $241,900 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. #LI-AN2 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

Design, build, and operate production infrastructure and Kubernetes platform to ensure reliability and scalability. | 5+ years experience in software or production engineering with deep cloud infrastructure and Kubernetes expertise. | 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 is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. What You'll Do Infrastructure Engineering & Technical Leadership • Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. • Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. • Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. • Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. • Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. • Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. Infrastructure Foundation & Production Operations • Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. • Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. • Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. • Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. • Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. • Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. • Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. • Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. • Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. What You Have • 5+ years of software, infrastructure, site reliability, or production engineering experience. • Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. • Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. • Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. • Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. • Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. • Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. • Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. • A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. • Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. • A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have • Experience supporting AI/ML or LLM infrastructure at scale. • Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. • Experience with multi-cloud infrastructure or hybrid cloud environments. • Experience building internal platforms or developer tooling that improves engineering velocity and production safety. Compensation $161,300 - $241,900 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. #LI-AN2 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

Lead Customer Trust function managing security inquiries, supporting GTM teams, and improving security posture using AI automation. | 7+ years in InfoSec or Technical Program Management with audit experience and AI-driven program efficiencies. | 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 Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Our customers depend on us to deliver a secure, trustworthy, and compliant platform. Earning the trust of our customers is a business enabler and we value it more than anything else. In this role, you will report to the Head of Trust and serve as the primary leader for the Customer Trust function. You will build and lead a high-performing team across time zones (US, UK, and beyond) to address customer security inquiries, support our Go-To-Market (GTM) team with accurate and timely responses, and elevate our overall security posture. You will operate at the intersection of technical security, customer success, audit, and AI innovation, leveraging Harvey’s own tools to improve the speed, automation, and accuracy of our responses. This is a unique opportunity to shape the customer trust narrative, manage our Trust Center, and empower Harvey to win complex deals. What You'll Do • Customer & AE Partnership: Act as the primary technical point of contact for our Go-To-Market (GTM) team and customers regarding security questions. Provide timely, accurate, and empathetic responses to questionnaires and concerns, ensuring we answer customer questions and unblock deals while maintaining high security standards. • AI-Powered Automation: Leverage AI and Harvey’s internal tools to continuously improve the efficiency and accuracy of our response process. Build scalable workflows to reduce manual overhead and improve response times while optimizing quality. • Metrics & Reporting: Establish and report on key performance indicators (KPIs) for the Customer Trust function. Use data to track team impact, response velocity, quality of answers, and the influence of trust on sales outcomes. • Sales Enablement & Thought Leadership: Manage our Trust Center, create and maintain a high-quality security and regulatory knowledge base, and help develop thought leadership supporting our GTM teams to handle complex security discussions. • Cross-Functional Collaboration: Partner closely with Product Security, Legal, and GTM/Sales to align on security positioning, product roadmaps, and evolving customer requirements. What You Have • 7+ years of experience in Information Security, Customer Trust, Technical Program Management, or Management Consulting, with a proven track record of defining and building compliance programs rather than just maintaining them. • Audit Experience: A background in audit and compliance (e.g., SOC2, ISO 27001). You are comfortable navigating complex compliance frameworks and communicating those controls and capabilities to customers as needed. • Exceptional customer/client service skills. You are adept at understanding the "why" behind customer concerns and can communicate complex technical and regulatory topics to non-technical stakeholders. • 1-2+ years of experience leveraging AI models or automation to drive program efficiencies (e.g., automating knowledge base management or response drafting). • Strong analytical skills with a focus on metrics. You are comfortable establishing dashboards and reporting on functional performance to leadership. • Comfort with ambiguity and a high level of patience and the ability to remain calm and decisive under pressure. Compensation $150,900 - $278,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-KV1 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

Lead and manage a team responsible for infrastructure production engineering including compute, networking, Kubernetes, and workflow orchestration platforms. | 7+ years software or infrastructure engineering with 5+ years leading teams, deep cloud infrastructure and Kubernetes experience, infrastructure automation, and strong leadership skills. | 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 is building the AI platform trusted by the world's leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We're looking for a Senior Engineering Manager to lead our Infrastructure Production Engineering organization. This team is responsible for building and operating Harvey's core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations that enable engineering teams to move quickly with confidence. In this role, you'll own the reliability, scalability, security, and efficiency of Harvey's infrastructure platform. You'll lead a team of high-performing engineers responsible for compute fleet management, capacity planning, infrastructure automation, and production operations. You'll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey's rapid growth. You'll report to the Head of Infrastructure and play a key leadership role in shaping the future of Harvey's infrastructure platform. At Harvey, we value Decisiveness, Simplicity, and the belief that Job's Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. What You'll Do Leadership & Strategy • Lead, mentor, and grow a team of high-performing infrastructure engineers responsible for Harvey's production infrastructure foundation. • Foster a culture of operational excellence, engineering quality, customer ownership, and continuous improvement. • Partner with Engineering, Security, Product, and AI Infrastructure leaders to define long-term infrastructure strategy and execution priorities. • Drive technical direction for compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. • Lead cross-functional initiatives to improve reliability, scalability, security, operational efficiency, and infrastructure cost optimization. Infrastructure Foundation & Production Operations • Own and operate Harvey's global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. • Manage compute resources to maximize utilization, performance, and service availability while supporting rapidly growing AI workloads. • Lead capacity planning, demand forecasting, and fleet lifecycle management to ensure infrastructure scales efficiently with business growth. • Operate and continuously improve Harvey's Kubernetes platform, including cluster provisioning, upgrades, monitoring, reliability, performance, and operational automation. • Own Harvey's Temporal-based workflow orchestration platform, ensuring reliable, scalable, and observable execution of distributed application workflows. • Drive infrastructure cost optimization through capacity management, resource rightsizing, workload efficiency improvements, and utilization monitoring. • Build and maintain secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. • Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. • Establish comprehensive observability, monitoring, alerting, incident response, and operational readiness practices across the infrastructure platform. What You Have • 7+ years of software or infrastructure engineering experience, including 5+ years leading engineering teams. • Deep expertise operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. • Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. • Experience building and operating large-scale distributed systems with strong reliability, scalability, and performance characteristics. • Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. • Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. • Experience designing and operating observability platforms, including monitoring, logging, alerting, and incident response processes. • Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. • Demonstrated success leading complex cross-functional technical initiatives and influencing engineering strategy across organizations. • Excellent communication skills with the ability to communicate technical concepts clearly to both engineering and executive audiences. • A systems-thinking mindset and passion for building simple, reliable, and scalable infrastructure platforms. Nice to Have • Experience operating workflow orchestration platforms such as Temporal. • Experience supporting AI/ML or LLM infrastructure at scale. • Experience managing GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. • Experience with multi-cloud infrastructure or hybrid cloud environments. Compensation $272,000 - $355,000 Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-AN2 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

Develop threat scenarios and detection rules, build data pipelines for observability, and lead incident response efforts. | 4+ years in security or software engineering with hands-on incident response and strong network and cryptography knowledge. | 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 Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Our customers depend on us to deliver a secure, trustworthy, and compliant platform. Earning the trust of our customers is a business enabler and we value it more than anything else. We are looking for an offensive security minded blue teamer to help us proactively identify and mitigate all threats against Harvey. Your offensive security expertise will be key in prioritizing the right defenses, modeling threats against our infrastructure, and chasing down leads. You will have the opportunity to build your Software Engineering and System Design skills as you’re working on our state of the art agentic threat detection platform built on ClickHouse. As an early member of our Security Detection and Response team, you will play a key role in shaping the foundation of our Detection and Response program. We are a small but effective team and have a high bar for our work. Our security program at Harvey is driven by our collective offensive security experience: Breaking into systems at other companies (in white-hat capacities), responding to real security incidents, and learning from other companies’ data breaches. We conduct regular pentests and red team exercises with external security firms. At the same time, we are all software engineers, contributing code daily, and approaching security topics with an engineering-first approach. What You'll Do Build strong relationships with key employees across the organization Use your offensive security expertise to develop plausible threat scenarios and identify opportunities for detection Assess logs for gaps and implement additional logging as needed Build out sophisticated data pipelines to handle increasing volumes of data and enrich our observability Lead incident response, as needed Develop detection rules and a process for keeping them effective in collaboration with our other D&R Engineers Participate in table-top and redteam exercises to evaluate efficacy What You Have Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world corporate networks, cloud environments, or applications Hands-on experience responding to security incidents Strong understanding of computer networks, operating systems, and cryptographic protocols 4+ years of experience in Security, Software Engineering, Site Reliability Engineering, or related disciplines Nice to Have Experience working at a small company, smaller independent division of larger company, or a hyper-growth startup Experience with ClickHouse or similar data warehouses Red team experience Experience in incident commander role, managing security incidents or other disasters Compensation $188,000 - $282,000 Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-KV1 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

Lead engineering projects to build secure, AI-native features and scalable systems across platforms. | 5+ years full-stack experience with React, TypeScript, Python, and SaaS product delivery in early-stage startups. | 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 As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. This role is based in San Francisco, CA or New York City. We follow an in-person work model and offer relocation assistance to new employees. What You'll Do Scale document ingestion and processing that is growing at 10x every 6 months Design massive data collection from over 50+ legal jurisdictions Build government-level security for top governments and firms Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend. What You Have 5+ Years of experience (post-BS/MS) in a product focused full-stack software engineering role. Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. Track record of building fast-growing SaaS products. Track record of shipping highly intuitive products, strong attention to detail. Experience building scalable and extensible solutions across the stack that can support multiple product lines. Strong programming skills and general Computer Science knowledge. Grit - experience working at early-stage startups is a plus. Compensation $193,400 - $290,000 Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-PM1 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

Lead engineering projects to build AI-native features and scalable systems with full-stack architecture and UX design. | 7+ years full-stack experience with React, TypeScript, Python, and SaaS product delivery in startup environments. | 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 As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. What You'll Do Scale document ingestion and processing that is growing at 10x every 6 months Design massive data collection from over 50+ legal jurisdictions Build government-level security for top governments and firms Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. What You Have 7+ Years of experience (post-BS/MS) in a product focused full-stack software engineering role. Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. Track record of building fast-growing SaaS products. Track record of shipping highly intuitive products, strong attention to detail. Experience building scalable and extensible solutions across the stack that can support multiple product lines. Strong programming skills and general Computer Science knowledge. Grit - experience working at early-stage startups is a plus. Compensation $231,000 - $340,000 Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-PM1 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

Lead engineering projects to build scalable AI-native features and agentic orchestration layers across multiple platforms. | Requires 5+ years full-stack experience with React, TypeScript, Python, and a track record of shipping SaaS products in early-stage startups. | 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 As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products. What You'll Do Scale document ingestion and processing that is growing at 10x every 6 months Design massive data collection from over 50+ legal jurisdictions Build government-level security for top governments and firms Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend. What You Have 5+ Years of experience (post-BS/MS) in a product focused full-stack software engineering role. Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related. Track record of building fast-growing SaaS products. Track record of shipping highly intuitive products, strong attention to detail. Experience building scalable and extensible solutions across the stack that can support multiple product lines. Strong programming skills and general Computer Science knowledge. Grit - experience working at early-stage startups is a plus. Compensation $193,400 - $290,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-PM1 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

Build and maintain AI agents and automation pipelines to streamline content creation and publishing while optimizing learning technology and collaborating cross-functionally. | Requires 5+ years of software or automation engineering experience with proficiency in modern web technologies and LLM API integrations, supporting production CMS/LMS systems, and autonomous operation. | 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