Careers at Harvey

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 redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for Product Engineering, you’ll lead teams of fullstack engineers building the core product surfaces that lawyers and legal professionals use every day—from complex workflows and collaboration tools to elegant user interfaces powered by sophisticated backend systems. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you. What You’ll Do Lead fullstack engineering team(s) building user-facing features across our web product. Collaborate closely with Design, Product, and AI teams to identify and execute on high-impact initiatives. Help define and evolve the architecture for a fast-moving, AI-powered application. Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment. Foster a culture of simplicity, quality, and continuous improvement. Contribute to code and architecture reviews, unblock teams, and lead by example when needed. Work closely with cross-functional partners to align product initiatives with company goals. What You Have 3+ years of experience in a software engineering management role leading fullstack product engineering teams, preferably in high-growth environments. 5+ years of experience as a fullstack or backend product engineer. A track record of leading high-performing, engaged engineering teams. Strong product sense and an instinct for balancing speed, quality, and user impact. Experience with modern frontend frameworks (e.g. React) and backend systems (e.g. Python, Node, Go). A plus: Exposure to AI-powered applications or complex internal tools. Compensation Range $260,000 - $330,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [ here ]. #LI-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

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 As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. What You'll Do Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. Mentor senior and staff engineers, and raise the bar for how the whole org builds. What You Have 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. Experience building scalable, extensible systems that support multiple product lines. Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. A history of influencing and aligning engineers and leaders well outside your direct scope. Strong programming skills and general Computer Science knowledge. Grit — experience working at early-stage startups is a plus. Compensation $231,000 – $340,000 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

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 As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them. This role can be based in New York City or San Francisco, with a hybrid schedule of three days a week in office. What You'll Do Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API. Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters. Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down. Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality. Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters. Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. Mentor senior and staff engineers, and raise the bar for how the whole org builds. What You Have 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above. Depth in full stack, backend, or agents/AI — and enough range to be useful outside it. Experience building scalable, extensible systems that support multiple product lines. Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail. Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs. You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short. A history of influencing and aligning engineers and leaders well outside your direct scope. Strong programming skills and general Computer Science knowledge. Grit — experience working at early-stage startups is a plus. Compensation $231,000 – $340,000 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

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 As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient. What You’ll Do Lead the design and implementation of Harvey's Model Infrastructure platform. Build systems to ensure high availability, low latency, and operational excellence for AI inference. Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost. Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers. Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models. Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry. Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads. Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility. Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment. Lead cross-functional technical initiatives and mentor engineers across the organization. What You’ll Build Model Reliability & Operations Model health monitoring Automated failover and recovery Capacity provisioning Operational tooling and incident automation Unified Model Controller (UMC) Policy-based model routing Intelligent Model Selector Model health monitoring Traffic management Reliability and latency optimization Provider Platform Multi-provider architecture API and SDK integrations OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers Rapid adoption of new frontier models Observability & Cost Platform Token usage analytics Cost attribution Latency and reliability dashboards Capacity forecasting Utilization optimization AI Platform Foundation Infrastructure supporting model evaluation Model deployment and operations Future model training platform Agent infrastructure and CcaaS What You Have 7+ years of software engineering experience building large-scale distributed systems. Experience designing and operating highly available production services. Strong programming skills in Go, Java, Python, Rust, or C++. Deep understanding of distributed systems, cloud infrastructure, networking, and observability. Experience leading technical projects across multiple engineering teams. Ability to balance long-term architecture with pragmatic execution. Strong communication and collaboration skills. Passion for building foundational platforms that enable other engineering teams. Nice to Have Experience with AI infrastructure, LLM serving, or machine learning platforms. Experience with model routing, inference gateways, or policy-based serving systems. Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs. Experience with Kubernetes, cloud infrastructure, and service mesh technologies. Experience with large-scale observability and SRE best practices. Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg. Familiarity with GPU infrastructure or model training platforms. Compensation $231,000 - $340,000 USD Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here . #LI-AK1 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