Software Engineer, Agents role at Harvey, focusing on building AI agent systems for legal professionals. Responsibilities include designing environments and actions for agents, managing context windows, creating tools, and developing evaluations to improve iteration loops and task completion quality. The role involves optimizing agent performance through prompt engineering, model selection, tool design, and working with model infra teams on low-latency execution and observability. Requires Python proficiency, experience with LLM APIs and agent frameworks, and shipping user-facing products.

This role focuses on building and optimizing agentic AI systems for legal professionals. The engineer will design environments, actions, and tools for these agents, manage context windows, make model selection decisions, and develop evaluations to improve iteration speed and task completion quality. The role involves optimizing agent performance through various techniques and working with infrastructure teams for low-latency execution and improved observability. Experience with LLM APIs, agent frameworks, and shipping user-facing products is required.

Software Engineer, Agents role at Harvey, focusing on building systems for AI agents in legal and professional services. Responsibilities include designing environments and actions for agentic work, managing context windows, creating tools, and developing evaluations to improve iteration loops and unlock new capabilities. The role emphasizes shipping impactful products and using practical evaluations to drive task completion quality and customer delight.

Software Engineer focused on building and optimizing AI agents for legal professionals, involving prompt engineering, tool design, context window management, and performance evaluation. The role emphasizes shipping user-facing products and improving agent execution infrastructure and observability.

Staff Software Engineer, AI Platform at Harvey, focusing on building foundational agentic AI infrastructure, including context management, model routing, and evaluation frameworks for enterprise professional services.

Staff Software Engineer, AI Platform at Harvey, a company transforming legal and professional services with agentic AI. The role focuses on building the foundational AI platform, including context management, agent infrastructure, model integration and routing, and evaluation frameworks. This is a critical role for scaling AI capabilities across the company.

Staff Software Engineer, AI Platform at Harvey, focusing on building the foundational AI platform for agentic AI systems in the legal domain. Responsibilities include context engineering, agent infrastructure, model integration/routing, evaluation infrastructure, and shared abstractions to enable product teams. Requires experience in backend systems, AI/ML engineering, and shipping multi-model AI systems.

Staff Product Manager to own a core surface of Harvey's Agent platform, defining how lawyers interact with AI agents, how agents are created/discovered, and the underlying platform. This involves 0-to-1 product work in a regulated space, focusing on user experience, technical depth, and enterprise complexity like ethical walls, audit trails, and governance.

Senior Software Engineer, AI Platform at Harvey, focusing on building the foundational AI platform for agentic AI products in the legal domain. This role involves designing and implementing systems for context management, model integration and routing, and evaluation infrastructure to support multiple AI agents and products.

Senior Software Engineer, AI Platform role at Harvey, focusing on building foundational AI infrastructure for agentic products in the legal domain. This involves context engineering, model integration/routing, and evaluation infrastructure, aiming to set the ceiling for Harvey's AI capabilities.

Senior Software Engineer for AI Platform at Harvey, focusing on building foundational agentic AI infrastructure, including context management, model routing, and evaluation frameworks for enterprise legal services. The role involves designing and implementing shared abstractions and platform-level systems to enhance agentic products and ensure reliable AI quality.

Senior Fullstack Engineer to embed with enterprise customers, build and productionize custom LLM-powered workflows, integrate with client systems, and develop evaluation frameworks for AI solutions. This role focuses on taking cutting-edge AI systems and turning them into reliable, scalable, and observable production-grade workflows.

Backend Software Engineer to own and lead engineering projects across product lines, working closely with AI, Legal, and GTM teams to build secure systems delivering value to customers. Focus on application layer and GenAI products.

Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, organizational interfaces for AI collaboration, managing GPU capacity, developing complex planning agents, and ensuring government-level security. The role involves evaluating LLMs and collecting internet-scale data.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products in the legal domain, focusing on retrieval, collaboration interfaces, GPU management, complex agents, and LLM evaluation.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products in the legal and professional services domain. The role involves working across the stack on application layer and genAI products, managing GPU capacity, and developing complex agentic systems.

Director of Product Design for Core Product at Harvey, an AI-powered legal copilot company. This role leads design strategy and execution for AI-powered legal workflows, focusing on shipping high-craft, cohesive user experiences for enterprise customers. Responsibilities include managing designers, defining design strategy, and ensuring product quality in a fast-paced, high-stakes environment.

Engineering Director to build and lead a Forward Deployed Engineering program for enterprise clients, focusing on delivering tailored AI solutions and influencing the product roadmap. This role involves team leadership, technical execution of LLM applications, and ensuring client success.

This role focuses on building and implementing AI-powered agentic applications and bespoke tooling to optimize the Go-To-Market (GTM) lifecycle for a legal and professional services company. The Business Analyst will translate business objectives into technical requirements, design automations, leverage AI agents for tasks like account research and prospect prioritization, and manage data integrity within the GTM technology stack. The role requires experience in consulting or high-growth B2B SaaS, a strong understanding of AI first principles, and the ability to build micro-apps on agentic platforms.

This role is for a GTM Business Analyst who will partner with the GTM Technology team to build agentic applications and bespoke tooling. The focus is on the orchestration and data layers to automate account research and prospect prioritization, eliminating friction across the GTM lifecycle. The candidate will act as an advisor and engineer for the tech stack, demonstrating AI first principles and experience with agentic applications.

Engineering Manager, Product at Harvey, responsible for shaping the product platform and building user-facing features for law firms and enterprise customers. The role involves owning the platform layer for secure, reliable experiences, including notifications, permissions, and feature flags, as well as building collaboration product experiences. The team designs and owns systems that serve as critical infrastructure and directly impact user engagement with Harvey's AI-powered legal tools. The role requires moving between deep platform thinking and hands-on product iteration.

Engineering Manager for the Document Platform team, responsible for leading a team of engineers to build and scale systems for document ingestion, understanding, and retrieval. This involves defining technical roadmaps, collaborating with other teams, and staying hands-on with backend systems, distributed systems, and cloud environments. Experience with document processing, search systems, or data infrastructure like OCR and vector databases is ideal.

Role focused on applying legal expertise to develop and improve AI systems for professional services. Involves subject-matter expertise, prompt engineering, fine-tuning, building benchmarks/datasets, and client partnership to translate legal/business needs into AI solutions. Requires a JD or equivalent, 3-7 years of legal/financial services experience, and a willingness to perform detailed, "in the trenches" work to train AI models.

This role focuses on applying and improving AI systems, specifically agentic AI, within the legal domain. The individual will leverage their legal expertise to inform AI research, work closely with engineering and product teams, and use techniques like prompt engineering and fine-tuning to build and enhance AI capabilities. A key responsibility is developing benchmarks and datasets for model evaluation, and partnering with clients to translate legal requirements into technical solutions. The role involves hands-on work to enable AI systems to perform tasks typically done by junior legal professionals.

Staff Software Engineer to own backend architecture for Harvey's embedded AI experiences in tools like Microsoft Word and Outlook, focusing on scalable systems and AI-powered workflows for professional services.

Product Manager role focused on defining, building, and scaling AI agent-powered solutions for strategic enterprise customers in the legal and professional services domain. The role involves deep customer discovery, workflow mapping, translating needs into agent-powered solutions, and driving deployments. Key responsibilities include ensuring repeatability, developing roadmaps, collaborating cross-functionally, and influencing commercial models.

Director of Engineering, Core Product at Harvey, a company transforming legal and professional services with agentic AI. This role focuses on architecting and leading the core product experience, evolving it into a unified, agentic platform for legal knowledge work. Responsibilities include overseeing flagship experiences, guiding the transition to a scalable agentic platform, and scaling the engineering organization by hiring AI talent. Requires a product-minded engineering leader with GenAI expertise, experience scaling teams, and thriving in high-growth environments.

Product Manager to build out integrations with strategic partners and vendors, enable search over data sources using MCPs and deep research, and architect systems to bring legal context into Harvey. This role requires a strong technical foundation, ability to partner with engineering on technical architecture, and experience navigating ambiguity to deliver enterprise B2B products.

Staff Software Engineer for the Product Engineering team at Harvey, focusing on building secure, enterprise-grade AI products for the legal and professional services industry. The role involves full-stack development, working with AI and Legal teams, and managing infrastructure for AI applications, including large-scale document retrieval, agentic systems, and LLM evaluation.

Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, AI collaboration interfaces, GPU capacity management, complex planning agents, and LLM evaluation.

Backend Software Engineer to own and lead engineering projects across product lines, working closely with AI, Legal, and GTM teams to build secure systems delivering value to customers. Focus on building the future of application layer and genAI products.

Senior Backend Software Engineer to build secure systems for enterprise-grade agentic AI products, focusing on retrieval over large documents, AI collaboration interfaces, GPU capacity management, complex planning agents, and LLM evaluation.

Enterprise Account Executive responsible for driving the growth and success of AI solutions within the legal and professional services markets. This role involves managing the full sales cycle, achieving revenue targets, collaborating with engineering and product teams, and building strong client relationships. The focus is on selling complex software solutions and articulating the value of AI to enterprise clients.

Enterprise Account Executive for an AI company selling legal and professional services AI solutions. Responsible for full sales cycle, revenue targets, and cross-functional collaboration with engineering and product teams. Requires proven track record in enterprise software sales, ability to convey technical concepts, and passion for AI in knowledge work.

Staff Product Designer at Harvey, a company transforming legal and professional services with agentic AI. The role involves leading end-to-end product experiences, collaborating with engineers, AI researchers, and product managers to create intuitive solutions that help users understand and guide AI outputs. Responsibilities include user research, developing prototypes, and promoting best practices in designing with AI.

Product Manager for an enterprise AI platform focused on legal services, specifically owning the product vision and roadmap for admin and governance features like identity management, access controls, and audit logging. The role requires close collaboration with Engineering, Design, Security, and Go-to-Market teams to meet the rigorous requirements of large, regulated enterprises, ensuring the platform is secure, compliant, and governable at scale.

This role is for a Technical User Operations Specialist who will be the frontline support for customers of an AI-driven legal tech platform. Responsibilities include handling technical and product-related inquiries, troubleshooting issues, documenting interactions, and collaborating with cross-functional teams to improve the customer experience. The role requires experience in technical support for AI-driven products and strong problem-solving and communication skills.

This role is a Technical User Operations Specialist for an AI-driven legal tech company. The primary responsibility is to provide frontline customer support, resolving technical and product-related issues including AI output quality, app access, APIs, and authentication. The role involves managing priorities, collaborating with cross-functional teams, documenting interactions, and maintaining product knowledge. Experience with AI-driven products and APIs is required.

This role is for a Customer Success Manager at Harvey, an AI company focused on legal and professional services. The CSM will guide clients in adopting and deriving value from Harvey's AI solutions, acting as a trusted advisor and designing scalable 1:many solutions for mid-market clients. Responsibilities include strategic implementation, training, client relationship management, process creation, success metrics management, advocacy, customer health monitoring, renewal ownership, and relaying client feedback internally. The role requires experience in legal firms or SaaS, strong communication and strategic planning skills, and results-driven prioritization. While the company is AI-focused, the role itself is customer-facing and product-oriented, not directly building AI models.

Customer Success Manager for a legal AI platform, focusing on driving adoption, value, and retention for large enterprise clients. This role involves client relationship management, strategic implementation of AI solutions, customer health monitoring, training, and acting as a feedback loop to the product team.

This role is for a Majors Customer Success Manager at Harvey, an AI company transforming legal and professional services. The CSM will guide large customers in adopting and deriving value from Harvey's AI solutions, acting as a trusted advisor, integrating the technology into business processes, and influencing the product roadmap. Responsibilities include client relationship management, strategic implementation, customer health monitoring, training, advocacy, and relaying customer insights. The role requires experience in management consulting or strategic customer success in Enterprise SaaS or legal environments, with a focus on change management and adoption for large technology projects.

This role focuses on establishing scalable data foundations for an AI company, designing and implementing data models, pipelines, and processes to support analytics. The Senior Data Analyst will partner with various teams to create dashboards, conduct end-to-end analysis, and collaborate with engineering on data architecture. A key aspect involves analyzing AI/LLM product performance, including RAG, agentic workflows, and model evaluations, and driving experimentation.

This role is for a Mid Market Sales Manager at Harvey, a company that uses AI to transform legal and professional services. The manager will lead and coach Account Executives to drive sales of AI solutions to mid-sized law firms and legal teams, achieve ARR targets, and refine sales playbooks and processes. The role requires strong sales and management experience in a high-growth tech environment, with a passion for AI's potential in knowledge work.

This role is for a Majors Customer Success Manager at Harvey, an AI company transforming legal and professional services. The CSM will guide large customers through their journey with Harvey, ensuring adoption and maximum value from the AI technology. Responsibilities include client relationship management, strategic implementation of Harvey into workflows, customer health monitoring, training end-users, and acting as a feedback loop to internal teams. The role requires a background in consulting or strategic customer success in Enterprise SaaS or legal environments, with strong change management and communication skills. The company offers a chance to be at the forefront of AI technology and contribute to the growth of the Customer Success program.

This role is for an Account Executive focused on selling AI solutions to small and medium-sized businesses in the legal and professional services sectors. The primary responsibility is to drive new business relationships, understand client challenges, and deliver AI solutions that transform how they work. The role involves managing the sales cycle, achieving revenue targets, and collaborating with product and engineering teams to tailor solutions.

This role is for an SMB Account Executive at Harvey, an AI company transforming legal and professional services. The AE will drive growth by establishing new business relationships, understanding client challenges, and delivering AI solutions. Responsibilities include managing the sales cycle, achieving revenue targets, building relationships, conducting client evaluations, and collaborating with engineering and product teams. The role requires experience selling complex software solutions, managing a sales pipeline, and conveying technical concepts to non-technical audiences, with a demonstrated passion for AI and its applications in knowledge work.

This role is for a Mid Market Account Executive at Harvey, a company that transforms legal and professional services with AI. The AE will drive growth of AI solutions within the legal and professional services markets by managing a book of business, building relationships, conducting client evaluations, and collaborating with engineering and product teams. The role requires a proven track record in selling complex software solutions and a passion for AI's potential.

Operations Lead for the Chief Strategy Officer at an AI company focused on legal and professional services. This role will translate ambitious company strategy into clear plans and disciplined execution, focusing on external engagement with the legal ecosystem and scaling enterprise vertical strategy. Responsibilities include owning the operating cadence for the CSO organization, leading cross-functional initiatives, and ensuring the CSO's focus on high-leverage work. Requires experience in strategy and operations or Chief of Staff roles at high-growth tech companies, with demonstrated AI fluency and the ability to work with C-level executives.