Location: Boston
Workplace: Hybrid
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 Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments.
Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product.
This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work.
WHAT YOU'LL DO
- Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments
- Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value
- Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform
- Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development
- Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas
- Evangelize Harvey internally and externally as a leader in AI-powered legal technology
WHAT YOU HAVE
- A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role.
- Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it.
- Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use.
- An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources.
- Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work.
COMPENSATION
$180,000 - $250,000 USD OTE 75/25
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LS1
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
ГибридBoston; We welcome candidates from a range of schools, employers and routes into legal work
Location: San Francisco; Washington D.C.
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs.
As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
WHAT YOU'LL DO:
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
- Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
- Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
- Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
- Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer).
- Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
- Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
- Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
WHO WE'RE LOOKING FOR:
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
- Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
- We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
- Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
- Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
- This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
- Evidence of exceptional ability and 99th-percentile work ethic.
- Strong technical skills at or above Perplexity's hiring bar for software engineers.
- Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer).
- High intrinsically-enforced standards for the craft and quality of your work.
- Strong communication and writing skills, ideally demonstrated via samples of past written work product.
- Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
- Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
- Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
- A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
Location: San Francisco; Washington D.C.
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs.
As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
WHAT YOU'LL DO:
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
- Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
- Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
- Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
- Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer).
- Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
- Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
- Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
WHO WE'RE LOOKING FOR:
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
- Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
- We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
- Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
- Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
- This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
- Evidence of exceptional ability and 99th-percentile work ethic.
- Strong technical skills at or above Perplexity's hiring bar for software engineers.
- Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer).
- High intrinsically-enforced standards for the craft and quality of your work.
- Strong communication and writing skills, ideally demonstrated via samples of past written work product.
- Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
- Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
- Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
- A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
Задачи: самостоятельная поддержка и развитие инфраструктуры (GCP, Selectel, Hetzner, Proxmox); эксплуатация и сопровождение облачной и локальной инфраструктуры, обеспечение её стабильности и доступности;
+ 5 лет опыта Понимание и умение работать с AI сервисами и агентами Задачи: Поддержка и развитие инфраструктуры, мониторинг и автоматизация. Настройка CI/CD, развёртывание новых сервисов.
Задачи:
— Расследование алертов в облачных сервисах, SaaS, электронной почте и на устройствах.
— Сбор доказательств и сопровождение инцидентов до их документированного завершения.
— Улучшение процессов детектирования, создание инструкций по реагированию и автоматизация процессов.
Требования:
— Практический опыт расследования алертов в SOC или в рамках Incident Response.
— Опыт работы с системами SIEM, EDR или средствами защиты электронной почты.
— Умение анализировать логи, расследовать случаи фишинга и компрометации учётных записей.
— Навыки написания небольших скриптов на Python или другом языке программирования.
Развертывать и поддерживать Kubernetes-кластеры для data copilot и сервисов поиска (Airflow, Kafka, PostgreSQL); Автоматизировать CI/CD-пайплайны (GitLab CI, ArgoCD, Helm) для быстрого релиза обновлений data-сервисов;
Задачи:
- Поддержка существующих модулей СХД, отвечающих за блочный доступ, включая конфигурирование и обеспечение функционирования блочного доступа.
- Анализ проблем текущей реализации, анализ дефектов и исправление кода.
- Участие в разработке технических требований и архитектурных решений, обеспечение качества и производительности.
- Наставничество, проведение ревью кода, помощь в развитии членов команды, развитие процессов и инженерной культуры.
Требования:
- Уверенное владение Go и/или настойчивое желание развиваться в этом направлении.
- Понимание особенностей работы многопоточного и конкурентного кода.
- Акцент на тестируемость кода и решений.
- Знание базовых алгоритмов и структур данных.
- Понимание устройства ОС Linux или Unix.
- Базовые знания сетей и протоколов передачи данных.
- Будет плюсом опыт работы с ETCD, Clusterlabs Pacemaker, Docker, NATS.
- Опыт работы с PlantUML, Allure, Jira, requirements Yogi.
- Знакомство с протоколами SCSI / NVMe.
- Представление об iSCSI / Fibre Channel.
Задачи:
— Разбираться в бизнес-контексте проблем клиентов
— Общаться с командами Product, Mobile, Operations
— Устранять неопределённость в задачах
— Проектировать решения
— Декомпозировать работу
— Использовать AI-агентов для реализации решений
— Проверять результаты
— Запускать решения в production
Требования:
— Сильные знания Go
— Опыт коммерческой разработки 5+ лет
— Опыт работы с распределёнными и высоконагруженными системами
— Знания PostgreSQL/MySQL, Linux, Git, Docker
— Архитектурное мышление
— Самостоятельность и развитые коммуникативные навыки
— Практический опыт работы с AI coding tools / AI agents
— Базовые знания PHP/Laravel
Условия:
— Работа в цифровом финансовом институте, мобильном банке и web-приложении с платежами, страхованием, коммунальными услугами и marketplace финансовых продуктов
— Формат работы: удалённый
— Оформление по ТК
Стек технологий:
Go, PostgreSQL, Docker, GitHub, TeamCity, Jira, Confluence, Laravel
УдалённоseniorГеография найма не уточнена, офис: Москва
Задачи:
— разрабатывать backend-сервисы и API
— создавать интеграции с внутренними системами
— работать с LLM и AI-агентами
— писать асинхронный код и тесты
— развивать архитектуру и доводить функционал до production
Требования:
— хорошие знания Python
— понимание backend-разработки, REST API и SQL
— интерес к LLM и AI-агентам
Условия:
— оплачиваемая стажировка по договору на три месяца
— возможность продления договора
— обучение за счёт компании
— ДМС со стоматологией с первого месяца
— оклад и ежеквартальные премии
— гибкий график или полная удалёнка
Job description: Implement and run AWS services (S3, Lambda, IAM, ECS, EC2, RDS, networking), containerize applications with Docker, automate deployments with Terraform, and build monitoring for production systems.
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