Вакансии

Location: Москва Workplace: Гибридный Обязанности Администрирование zVirt устанавливать, настраивать и обновлять платформу zVirt (кластеры, дата-центры, хосты виртуализации); создание, миграция, резервное копирование и восстановление виртуальных машин; настраивать сети виртуализации (логические сети, VLAN, бонды сетевых интерфейсов); управлять ресурсами кластера: балансировка нагрузки, HA (высокая доступность), live-миграция ВМ; осуществлять мониторинг состояния хостов, узлов кластера и виртуальных машин; работать с шаблонами ВМ, снапшотами, дисками; управлять SDS (программно-определяемым хранилищем); разворачивать и администрировать распределенное хранилище (например, на базе Ceph/VDSM Storage либо иного SDS-решения, применяемого в связке с zVirt); настройка storage domains, пулов хранения, репликации и отказоустойчивости данных; осуществлять мониторинг производительности и утилизации хранилища; диагностировать и устранять проблемы с дисковой подсистемой и сетью хранения (iSCSI/NFS/FC при наличии); планировать емкости хранилища и масштабирование; Администрирование Linux устанавливать и настраивать ОС на хостах виртуализации (обычно RHEL-совместимые дистрибутивы); управлять сетевыми настройками, файрволом, SELinux; писать и поддерживать bash/python-скрипты для автоматизации рутинных операций; управлять пакетами, репозиториями, обновлениями; работать с systemd, логами (journalctl, rsyslog), диагностика производительности (top, iostat, sar, vmstat); настройка и мониторинг служб (NTP, DNS, SSH, LVM). Требования опыт администрирования Linux от 3 лет (RHEL/CentOS/Rocky Linux/Astra Linux и т.п.); опыт работы с платформами виртуализации (zVirt, oVirt, RHV, VMware, Proxmox) от 1–2 лет; знание принципов работы SDS, опыт с Ceph или аналогичными решениями; понимание сетевых технологий: VLAN, bonding, iSCSI, NFS; опыт работы с системами мониторинга и логирования; навыки написания скриптов (Bash, Python); понимание принципов отказоустойчивости и построения HA-кластеров; знание основ информационной безопасности Linux-систем; Будет плюсом: опыт миграции с VMware/Hyper-V на zVirt; сертификации по Linux (RHCSA/RHCE) или виртуализации; опыт работы в условиях импортозамещения ИТ-инфраструктуры; знание Ansible/Terraform для автоматизации инфраструктуры. Условия гибридный формат работы (3 раза в неделю офис); отсутствие жесткого дресс-кода и гибкое начало рабочего дня 8:00-10:00, восьмичасовой рабочий день; участие в профессиональных встречах клуба AI; работу в современной надёжной цифровой компании; Agile-культуру: продуктовые команды, Scrum и Kanban, демо-дни, внутренние митапы; полезные курсы и вебинары в корпоративном университете и электронные библиотеки, программы развития; медицинскую страховку с 1 месяца со 100% покрытием расходов, включая стоматологию, страхование жизни и здоровья в поездках за рубеж. А еще можно застраховать родственников с корпоративной скидкой; спортзал и массажный кабинет в офисе; единую подписку МТС Premium — онлайн-кинотеатр KION, сервис МТС Music; скидки и предложения от партнеров на фитнес, занятия английским и прочее.

Location: Almaty, Kazakhstan Workplace: hybrid We are looking for an HR Functional Analyst to turn business needs into working solutions in our new HRIS. You will own a specific functional domain: Core HR, Org & Positions; Compensation, Self-Service & Reporting; or Absence/Leave, Regional Specifics & Integrations. The role spans inDrive’s global footprint of around 25 countries, so configuring for multi-country specifics is a core part of it. You will be the bridge between HR practitioners, the vendor, and internal technical teams. After implementation, you will stay on as the long-term owner of your domain. This role is a chance to help build a modern HR tech stack from the ground up and directly shape the daily experience of every employee in the company. Key Responsibilities Lead workshops with PnC stakeholders to map current “As-Is” processes and define future “To-Be” states for your domain, removing bottlenecks and technical debt before migration Translate complex business requirements into clear functional specifications and user stories Perform gap analysis between the system’s standard functionality and our requirements, working with the vendor and implementation partner to find the best configuration for each process Configure functional settings in the new HRIS, such as org structures and positions, compensation cycles and pay bands, or country-specific leave and absence rules, getting the most out of standard functionality and avoiding unnecessary customization Define data mapping requirements for a clean migration from legacy tools, and develop and run UAT scripts to confirm the system meets functional requirements Partner with HR Systems Engineers to make sure data flows correctly between the core HRIS and peripheral systems Own your functional domain end-to-end after go-live as the in-house Subject Matter Expert: resolve issues and keep evolving processes as business needs and the system change Create user guides, documentation, and training materials for HR admins and employees, and monitor post-go-live adoption Skills, Knowledge and Expertise 3+ years of experience as an HR Analyst, HRIS Analyst, or Business Analyst focused on HR technology Deep understanding of at least two core HR functional areas, including how processes vary across countries: Core HR and the employee lifecycle, Organization & Position management, Compensation & Benefits, or Absence/Leave management Proven ability to document complex business processes and translate them into system configuration Strong stakeholder-management skills and the ability to explain technical concepts to non-technical HR partners A solution-first approach, with the ability to find root causes rather than symptoms and a preference for standard functionality over custom development Fluent English Nice to Have Experience with major HRIS/HCM suites (e.g. Workday, SAP SuccessFactors, HiBob) Previous experience in a system migration or tool-consolidation project Experience configuring HR processes across multiple countries or jurisdictions Russian language skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Москва В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них ошибки и каких примеров модели не хватает. Сейчас нам нужен Data Analyst / Data Engineer в Data Conveyor Team, который будет находить проблемы в данных, оценивать их качество и проверять через обучение моделей, как состав датасета влияет на результат. Это роль на стыке анализа данных, инженерии данных и практических ML-экспериментов: нужно не только строить проверки качества, но и запускать обучение или дообучение моделей на разных версиях данных, сравнивать метрики и превращать выводы в конкретные решения по сбору, разметке, фильтрации и выборке. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * строить автоматические и полуавтоматические пайплайны проверки качества данных, чтобы находить технические и смысловые дефекты до попадания данных в обучение * запускать или сопровождать обучение и дообучение моделей на разных версиях датасетов, чтобы измерять влияние качества, состава и фильтрации данных на метрики модели * разрабатывать метрики качества данных и использовать их как диагностический сигнал до тех пор, пока не доказана связь с успешностью модели на роботе и в тестовых сценариях * формировать фильтры, уровни качества и стратегии выборки по качеству, разнообразию, задачам, объектам, окружениям, роботам, источникам и типам ошибок * проводить сравнительные эксперименты с составом данных, чтобы проверять, какие данные действительно помогают модели, а какие можно исключить или отправить на доработку * анализировать ошибки модели и переводить их в конкретные запросы на данные: что дособирать, что переразметить, что удалить, что добавить в выборку * готовить теги задач, объектов, окружений и ошибок, эталонные наборы примеров, правила контроля качества разметки и критерии приемки * исследовать, как изменения камер, конфигурации робота, калибровки или других сенсоров влияют на качество данных и результат модели * готовить краткие технические отчеты: гипотеза, данные, метрики, ограничения, выводы, рекомендуемые изменения для релиза датасета или плана сбора данных. Требования * 3+ года опыта в data analysis, data engineering, ML engineering, applied ML или близкой области * уверенный Python: pandas/polars, numpy, visualization, notebooks, batch data processing * SQL и опыт работы с большими датасетами, manifests, metadata, dashboards или analytics pipelines * понимание экспериментального дизайна: ablations, контрольные группы, statistical reliability, интерпретация метрик * базовое понимание ML training / eval loop и связи состава данных с метриками модели * умение анализировать мультимодальные данные: видео, временные ряды, actions, task metadata, labels * способность переводить наблюдения из данных и ошибок модели в actionable recommendations * хорошая письменная коммуникация для отчетов, журналов решений и постановки задач смежным командам. Будет плюсом: * опыт с robot learning, VLA, imitation learning, RL, CV/VLM datasets или embodied AI * опыт с W&B, MLflow, Hydra, experiment tracking, dataset lineage * опыт с annotation QA, active learning, data curation, anomaly detection или quality scoring * понимание domain shift, camera shift, embodiment gap, task transfer и data-centric AI * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Автозаводская 23а к2 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco 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 We're looking for a Senior Product Manager to own some of Harvey's most important embedded experiences, starting with the Word Add-In and expanding to the other tools where legal work gets done. You'll take a product customers already love and rely on to many more lawyers, make Harvey's agents useful for complex drafting and review work, and help bring Harvey to new surfaces. This role is for someone who has built a product people use every day. You know adoption comes from meeting users where they are, inside the tools and habits they already have. You pair a clear vision for what AI makes possible with a deep drive to understand how your users actually work. WHAT YOU'LL DO - Own key embedded experiences in Harvey: Define the vision, strategy, and roadmap for Harvey for Word and the other drafting tools lawyers work in, taking problems from discovery through launch and iteration. - Build for the jobs lawyers do in documents: Ship purpose-built tools for drafting, reviewing, proofreading, and finalizing documents that lawyers trust enough to send. - Grow daily use: Improve onboarding, activation, entry points, and repeat usage. Turn occasional users into people who reach for Harvey every day. - Drive product quality: Partner with Design, Engineering, and our AI platform teams to make the experience fast, polished, and reliable, and define what good AI output looks like in a document. - Stay close to customers: Spend meaningful time with lawyers at law firms and in-house teams. Use what you learn, and the usage data, to make opinionated product decisions. - Work across Harvey: Partner with adjacent product teams, PMM, and GTM so Harvey for Word fits naturally with the rest of Harvey and lands well with customers. WHAT YOU HAVE Must have qualifications: - 5+ years of product management experience, including ownership of a user-facing product people use every day, in B2B or B2C. - A track record of building habits: you can explain how you got users to adopt a new workflow, what made it stick, and what you changed when users didn't behave as you expected. - Strong product and design judgment, a high bar for craft, and the ability to explain why one interaction is better than another. - Experience owning adoption or engagement outcomes, and using customer insight and data to shape strategy. - Experience both scaling an established product and launching something new. - High agency in fast-moving, ambiguous environments. You build conviction quickly and act on it. - Clear, structured communication and the ability to influence Engineering, Design, GTM, and executives. Preferred qualifications: - Experience building AI-powered products, including defining and measuring the quality of AI output. - Startup or 0→1 experience, ideally at a high-growth tech company. - Experience building document editing, productivity, or collaboration tools. COMPENSATION $177,700 - $266,500 USD 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-NS3 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

Location: Toronto; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere is in a unique and exciting position to grow our go-to-market teams globally! We are expanding our Talent Team and are looking for creative, high-performing talent sourcers who are eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. In this role, you will master a new domain of sourcing, source world-class technical talent, and influence the scaling of a high-growth Canadian tech company. If you consider yourself resilient, collaborative, influential, and a lifelong learner with an established network, we’d love to hear from you! Please Note: We have offices in Toronto, San Francisco, and London but embrace being remote-first! As a Talent Sourcer, you will: - Build, own, and nurture a strong pipeline of world-class business talent across Engineering and Research roles. - Deliver a world-class recruiting experience that reflects Cohere's premium brand - Partner with hiring managers and talent partners to find and engage passive talent through creative sourcing methods - Maintain deep market intelligence on technical talent trends and competitive landscape - Manage comprehensive recruiting funnels in our ATS, updating progress and analytics regularly - Develop creative, proactive sourcing approaches to optimize the top of the funnel for business roles - Cultivate relationships with established networks across business communities and industry leaders - Identify and own additional high-impact talent projects as they emerge Who you are: - You have 5+ years of experience sourcing for technical roles across engineering and research in markets like EMEA/US etc. - You have a proven track record of sourcing candidates in high-growth and a high-bar environments (startup, technology, AI experience strongly preferred) - You bring an established, high-profile network in business communities - You're a creative problem solver who thrives in fast-paced, ambiguous environments - You're a natural influencer with exceptional relationship-building skills - You leverage data and analytics to drive sourcing decisions and measure effectiveness - You're passionate about diversity, equity, and building inclusive business teams - You have a strategic mindset with the ability to see beyond immediate hiring needs Why Cohere - Impact: Shape the future of AI talent at a cutting-edge company. - Culture: Collaborative, innovative, and mission-driven. - Growth: Join a team scaling from 800 to 2000+ over 18 months. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a high-impact Vice President of Engineering / Senior Engineering Director to lead strategic engineering initiatives across OKX’s core products. You will guide engineering leaders and teams working across multiple disciplines, helping them deliver secure, reliable, and scalable experiences for users worldwide. This role will set technical direction, strengthen collaboration across engineering and product functions, and improve how teams plan, build, and operate critical systems. You will help ensure that architecture, execution, and operational priorities support the company’s product strategy and growth. What You'll Be Doing Strategic Leadership & Operational Excellence Engineering Alignment & Delivery: Improve coordination across engineering teams and functions, clarify ownership and decision-making, and help teams deliver product priorities with fewer bottlenecks. Organizational Design & Scale: Continuously refine engineering workflows, team structures, and operating rhythms to support business growth, team autonomy, and cross-functional collaboration. Talent & Leadership Development: Mentor, manage, and scale engineering managers and senior leaders; establish high standards for engineering craftsmanship, career growth, and technical accountability. Technical Direction & Architecture Technical Direction: Guide architecture and engineering decisions across complex product environments, ensuring teams balance scalability, security, performance, and user needs. Engineering Standards & Reliability: Champion industry-leading engineering practices across software design, code health, automated testing, continuous deployment, and system observability. System Resilience: Ensure systems maintain high availability, security posture, and resilience in a fast-paced, high-volume environment. Product Partnership & Execution Cross-Functional Partnership: Work hand-in-hand with Product Management, Design, Operations, and Security leaders to translate company strategy into clear, executable technical roadmaps. Execution & Velocity: Establish clear milestones, identify and resolve execution risks, and implement metrics to maintain predictable, high-cadence product releases. What We Look For In You Executive Leadership Experience: 10+ years of software engineering experience, including 5+ years leading multi-tiered engineering teams (50+ engineers) at the Director or VP level within high-scale product companies. Technical Breadth: A strong background leading engineering in large-scale product environments, with the ability to engage with diverse technical disciplines, assess architectural trade-offs, and guide experienced engineering leaders. Delivery Track Record: Demonstrated success driving complex, multi-team engineering programs to launch in fast-evolving, high-growth tech environments. Domain Adaptability: Experience in high-availability, low-latency, or mission-critical domains (such as FinTech, SaaS, payments, consumer tech, or Web3). Communication & Influence: Exceptional communication skills with the ability to build consensus across business, product, and deeply technical teams. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London 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 Harvey is building a legal transformation practice for the AI era. Our Transformation Office brings together highly experienced consultants and practitioners to help law firms and legal departments turn AI from a tool their teams use into value their business can see. Harvey’s experts help leaders decide what to change, and how to change it, as they adopt and embed new ways of working: how legal work is organized and governed, how it’s priced by firms and valued by in-house teams and how their people build new capability. The Transformation Office then works alongside their teams to make it happen. Our advice draws on what we see across Harvey's customers in more than 50 countries and on where the technology is heading. Our client work shapes Harvey's product, and the product shapes our advice. Both improve together. Law firms and legal departments are making decisions now that will shape how they compete for the next decade: which work to prioritize, how to price and value it, how to staff it and how to organize around AI. As Transformation Advisory Lead for Strategy & Economics, you help their leaders make those decisions well. You have made them yourself, inside a firm or a legal department, and advised others through them, so managing partners, general counsel and CFOs treat you as a peer. You will be one of the first senior specialists in Harvey's Transformation Office. You will help build our strategy and economics offering, bring that expertise to client engagements run by our Engagement Managers and join our Practice Directors when a customer has a specific need in strategy and economics. What you learn will shape how Harvey advises the market and what we build next. WHAT YOU'LL DO - Advise on strategy. Help leaders decide where AI changes their competitive position: which practices/domains, clients and types of work to prioritize, and where to invest. - Advise on pricing and value. Help firms and legal departments measure the impact of AI on the cost, speed and value of their work. For firms, that means working through how fee structures and value models need to change; for legal departments, it means showing the value their work creates for the business. - Advise on operating models. Help customers redesign how legal work is organized, supported and staffed, including team structures and the roles AI creates or changes. - Help leaders make the case for change. Work with managing partners, general counsel and finance leaders to build the case they take to their partnership, board, internal stakeholders or executive team. - Build the offering. Create the diagnostics, frameworks and leadership readouts the Transformation Office uses to deliver strategy and economics engagements, and turn each engagement into material the wider team can use. - Bring your expertise to early conversations. Join Practice Directors and account teams when a customer has a specific need in strategy and economics. WHAT YOU HAVE - 10+ years of experience, including significant time shaping strategy, pricing or operating decisions: for example in a law firm's strategy, pricing or practice management team, in legal operations, external counsel or law firm management, or as chief of staff to a general counsel. Experience in a legal-sector consulting practice is a strong plus. - Deep fluency in legal economics. For law firms: leverage, practice-group and matter profitability, pricing and fee structures. For legal departments: cost-center dynamics, outside-counsel spend and how the value of legal work is measured. - A track record of advising senior legal leaders through high-stakes decisions, with the presence to hold a room that includes finance. - A clear point of view on how AI will change the business of law, grounded in how the economics actually move. - Evidence that you have built frameworks or methods that others adopted and kept using. - The judgment to discuss efficiency in a way that builds support for change rather than fear about displacement. - Energy for building something new while the playbook is still being written. 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-LL1 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

Location: Bengaluru, India We are looking for a Senior Technical Program Manager to lead the end-to-end delivery. The role requires a strategic leader who can manage multiple parallel workstreams, navigate a complex multi-vendor stakeholder landscape, and manage high-level C-suite expectations around AI-driven efficiency. You will coordinate closely across internal delivery teams, client product owners, CloudOps, and third-party integration partners. This position is intended for Hyderabad-based candidates who are available to work from the office. Establish and run the program governance model, including meeting cadence, escalation paths, RACI, and a decision-making framework across two parallel delivery tracks. Own the program roadmap, milestone tracking, dependency management, and critical path analysis across foundation, domain migration, and integration workstreams. Manage SAFe delivery execution, including PI planning, sprint cadence, phase gates, and production cutover processes with formal client sign-off. Provide structured reporting at multiple levels, including weekly operational status for the delivery team, bi weekly updates for client engineering leadership, and monthly executive dashboards for the CIO. Track and report AI efficiency metrics, including code generation, test generation, and SDLC automation, as key program KPIs expected by the client executive sponsor. Facilitate cross-team coordination between the modernization program, the operations team, and client infrastructure teams, including CloudOps and DevOps, responsible for environment provisioning and legacy decommissioning. Navigate dependencies with third-party integration partners, including Salesforce, NetSuite, BigCommerce, and others, where sandbox access and API contract timelines are outside direct control. Manage the commercial cadence of the engagement, including bi-monthly payment tracking, burn rate forecasting, and preparation of the re-estimation checkpoint that determines the scope and pricing of the second SOW. Drive risk management through proactive identification, transparent communication, and data-driven escalation, ensuring that risks inform decision-making rather than only being tracked. Coordinate the team ramp-up plan, including onboarding of new engineers, transition of BAU resources to modernization pods, and knowledge transfer from legacy platform SMEs. 7+ years of program and project delivery experience in complex, multi-track environments with distributed teams. Proven experience managing platform modernization or legacy migration programs, including monolith to microservices, cloud migration, strangler fig, or similar patterns. Strong understanding of SAFe or equivalent scaled Agile frameworks, including PI planning, sprint execution, and formal phase gate processes. Experience managing fixed-price engagements with non-milestone-based payment schedules, including burn rate tracking and forecast-to-completion analysis. Demonstrated ability to manage C-level stakeholder relationships, tailor communication to different audiences, and build executive confidence through metrics-driven reporting. Experience coordinating multiple delivery pods running in parallel with independent backlogs but shared infrastructure and governance. Strong technical awareness, including understanding of microservices, API gateways, CI CD pipelines, cloud infrastructure with AWS preferred, and data migration concepts sufficient to identify risks and ask the right questions. Emotional maturity and high emotional intelligence in managing cross-functional teams, resolving technical disagreements, and navigating competing priorities among client stakeholders. Experience working alongside or managing vendor relationships in multi-vendor environments. Experience with AI-assisted development tools or SDLC automation, including AI code generation, test generation, or agentic workflows. Familiarity with Kong API Gateway, event-driven architectures, or domain-driven design. Knowledge of compliance and regulatory standards relevant to financial services, including GDPR, data retention, and audit trail requirements. Experience in financial services, professional certification, or EdTech organizations.

Location: New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow You may be a good fit if you have: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dallas 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 Harvey’s Legal Engineering Manager, Product Specialist lead and scale a high-performing team of Legal Engineer, Product Specialists responsible for driving customer adoption, expansion, renewal and long-term success across Harvey’s global customer base. This role sits at the center of Harvey’s post-sales motion, ensuring that customers realize meaningful value from Harvey’s platform and expand their usage over time. You will oversee a team of former practicing lawyers who serve as trusted advisors to customers, guiding them in integrating Harvey into their workflows. As a manager, you will be responsible for elevating team performance, shaping customer engagement strategy, and partnering cross-functionally with Customer Success, Sales, Product, and Engineering to drive retention, expansion, and product evolution. This is both a strategic and hands-on leadership role. You will directly engage with Harvey’s most important customers, coach your team through complex engagements, and build the systems, playbooks, and infrastructure needed to scale a world-class post-sales function. WHAT YOU'LL DO - Lead and develop a high-performing team: Recruit, mentor, and manage a team of Legal Engineer – Product Specialists, setting a high bar for customer engagement, legal credibility, and product expertise. Coach team members through complex customer situations, provide actionable feedback, and create clear paths for growth and performance excellence. - Drive customer adoption, retention, and expansion: Own the team’s impact on customer outcomes, including adoption, utilization, renewals, and expansion. Partner closely with Customer Success Managers and Account Executives to ensure coordinated account strategies that deepen engagement and demonstrate measurable value. - Oversee customer engagement strategy: Guide how the team engages with customers across implementation, onboarding and ongoing enablement. Ensure consistent, high-quality delivery of workshops, trainings, and hands-on agent building sessions that help legal professionals integrate Harvey deeply into their workflows across practice areas and geographies. - Act as a senior escalation point for key accounts: Directly engage with Harvey’s most strategic and complex customers, building relationships with partners, general counsel, and other senior legal stakeholders. Step into critical moments to unblock adoption challenges and reinforce Harvey’s value proposition. - Own team operations and performance management: Manage team capacity, account allocation, and coverage to ensure efficient support across the customer base. Establish clear performance metrics tied to adoption, engagement, and customer health. Drive accountability through data-informed decision making. - Build scalable processes and enablement: Design and refine playbooks, onboarding frameworks, training programs, and best practices that enable the team to operate consistently and effectively at scale. Partner with Legal Enablement and Product to continuously improve materials and approaches. - Partner cross-functionally to improve customer outcomes: Collaborate closely with Customer Success, Sales, Product, Engineering, and Applied Legal Research to align on customer needs and deliver cohesive solutions. Ensure insights from customer engagements are translated into actionable improvements across teams. - Influence product strategy and roadmap: Aggregate and synthesize feedback from your team and customers to inform product development. Advocate for features and workflows that address real-world legal use cases and improve usability, adoption, and impact. - Shape Harvey’s customer-facing narrative: Partner with Marketing and Enablement to develop high-quality content, use case materials, and thought leadership that reflect deep legal expertise and resonate with customers. Help define how Harvey communicates value in a post-sales context. WHAT YOU HAVE - JD or equivalent legal qualification. - 5+ years practicing law at a top-tier law firm (Vault 50 or equivalent) and/or in-house at a F500 or leading tech company, with significant client-facing experience. - 4+ years of direct people-management experience, with a demonstrated track record of building, leading, and developing high-performing teams - including hiring, performance management, and career development of direct reports. Experience managing legal professionals is preferred, but candidates with strong management track records leading non-legal teams will also be considered, provided they bring the legal background described above. - Strong executive presence, with experience building relationships with senior stakeholders such as law firm partners, general counsel, c-suite/senior innovation team members and legal operations leaders. - Deep understanding of legal workflows and the challenges faced by modern legal teams. - Demonstrated success in customer-facing roles (e.g., client advisory, customer success, legal tech, or innovation teams). - Ability to operate in a fast-paced, ambiguous environment and drive both strategic initiatives and day-to-day execution. - Strong interest in AI and its potential to transform the legal industry. - Experience working cross-functionally with Product and Engineering teams is a plus. COMPENSATION $315,000 - $385,000 USD OTE 75/25 Split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-SZ1 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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress. You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission. Responsibilities Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry) Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners) Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed Intense curiosity about AI and science, and a commitment to responsible AI development Preferred qualifications 10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running Advanced degree in a life sciences or chemistry field Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We’re looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them. Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations. This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you. Key responsibilities Develop and execute solutions marketing strategy across a number of different priority industries and customer segments Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices Track record of building solutions that significantly expand deal sizes and accelerate sales cycles Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment Preferred qualifications 8+ years of B2B product marketing or solutions marketing experience working inside of software companies Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred Experience marketing AI/ML products or emerging technology to enterprise buyers Track record of building marketing programs from scratch at a growth-stage company Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €121K – €198K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero's biggest areas of investment and growth, and it's how small businesses get paid, pay their people, and take on their next opportunity. As Engineering Manager, you'll lead the Payments Platform engineering team in Vancouver as it takes on early-stage initiatives that power money movement across Xero and enable new product lines globally, including global bill payments. You'll keep the team delivering while building the engineering practices and capability it needs to grow. THE TECHNICAL CHALLENGES The team is building the capabilities that sit underneath every payment a small business makes or receives. Four problems define the work: - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. Your job is to make sure the team can take on these problems together, sequencing the work so that both customer value and long-term architecture move forward. IMPACT - First 6 months: you'll understand the payments platform, its consumers, and the customer problems it enables teams to solve. You'll have the team delivering production code, with a clear delivery plan and roadmap agreed for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. You'll also have set up healthy on-call and review practices, and you'll be building the team's capability through mentoring and technical reviews. - First 12 months:the team's architectural decisions will be running in production and helping new payment products launch faster. You'll have established engineering standards and clear ownership across the Vancouver Payments team, and the work will be reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You'll own the delivery, staffing, and operational health of the Vancouver Payments engineering team, including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's processes, quality standards, and on-call practices within agreed standards. Technical architecture decisions for the platform sit with the team's technical leads and principal engineers, and you'll make sure those decisions are backed by a team that can deliver them. Because the initiative and the team are both early in their development, you'll help shape how the team works, including its use of AI-assisted development. Engineers on the team own their work, including quality, reliability, and on-call, and you'll make sure that accountability is built into how the team operates. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING - A proven record of leading engineering teams that deliver highly available distributed systems under real production constraints, with strong operational practices - Experience growing and managing engineers, including hiring, performance management, and career development, and a track record of building inclusive, high-trust team cultures - Experience building a platform or product from an early idea into production, and evolving it as adoption and complexity grow - Enough technical depth in system architecture, API design, and data stores to guide design reviews and trade-off decisions with your technical leads - Experience setting direction and breaking complex problems into clear, actionable plans that lead to delivery - Comfort using AI tools to improve development workflows, with judgment about when and how to validate their output Nice to have: - Experience in payments, fintech, or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience in adjacent domains with demanding reliability, security, or correctness requirements is also valuable. - Experience modernizing established systems while continuing to deliver value to customers - A track record of partnering with product, design, and other cross-functional teams to turn complex business needs into resilient engineering solutions HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia. We also welcome applications from candidates across Canada interested in relocating to Vancouver. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: A systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $188,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Remote Workplace: Remote 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 a Senior People Systems Analyst to own and scale the systems and workflows that support Harvey’s growing global workforce. This role will primarily focus on Workday HCM, owning the design, configuration, testing, and continuous improvement of complex business processes. You’ll also be the go-to systems expert for Benefits and our Applicant Tracking System (Ashby). That means leading feature evaluation, solution design, configuration, root-cause troubleshooting, and end-to-end testing. You’ll partner closely with People Operations, Benefits, Recruiting, Payroll, Finance, Legal, and Corporate IT to turn business needs into scalable, intuitive, and well-governed system solutions. The ideal candidate is an experienced, hands-on systems professional who works independently from requirements through deployment, brings a clear point of view on how to solve problems, and influences stakeholders toward durable, scalable outcomes. WHAT YOU'LL DO - Own the configuration, maintenance, and optimization of Workday HCM, including complex business processes, condition rules, approval routing, notifications, security assignments, and worker lifecycle workflows. - Lead solution design end to end: translate ambiguous business needs into system solutions, assess downstream impacts across HCM, Benefits, Payroll, reporting, integrations, and employee experience, and bring recommendations to critical decision points. - Serve as the subject-matter expert for Benefits systems, owning plan configuration, eligibility rules, enrollment workflows, vendor integrations, annual enrollment readiness, issue resolution, and process improvements. - Support Recruiting Systems and administration which includes integrations, and data quality. - Advise senior stakeholders on system capabilities, new features, configuration tradeoffs, and opportunities to simplify or automate manual processes. Explain complex topics clearly and persuasively. - Define and drive testing strategy across Workday, Benefits, Ashby, and connected systems, including workflow, regression, release, and user acceptance testing. - Diagnose complex or unusual system and data issues by tracing configuration, business rules, integrations, and upstream and downstream dependencies. Identify root causes and put durable fixes in place rather than one-off workarounds. - Lead enhancement projects from discovery through deployment with People Operations, Benefits, Recruiting, Payroll, Finance, Legal, and IT, including gathering requirements, documenting options, and prioritizing work. - Set the standard for configuration documentation, test plans, process maps, release notes, and operational procedures that support governance and team self-service. - Proactively monitor system health and data integrity, lead audit and reconciliation support, and uphold security and data governance practices for employee and candidate data. - Lead Workday and vendor release management: evaluate new functionality, assess impact, coordinate testing, and drive adoption decisions. - Act as a resource for peers and stakeholders on complex or challenging systems questions, sharing knowledge and best practices across the team. WHAT YOU HAVE - 5+ years of hands-on experience configuring and supporting Workday, an HRIS, or related enterprise business systems. - Deep experience with Workday HCM configuration and the Business Process Framework, including condition rules, approval routing, notifications, security, and workflow design. - Proven ability to independently design and deliver complex, cross-system workflows, using sound judgment to know when a decision needs broader review. - A track record of owning projects that improved workflows, reduced manual effort, or introduced new tools or automation. - Strong experience turning ambiguous business requirements into system solutions, often with limited information, and explaining technical tradeoffs persuasively to non-technical and senior audiences. - Experience defining and running testing strategies, including regression, UAT, defect triage, data validation, and production change management. - Solid working knowledge of Benefits administration or Benefits systems, including eligibility, enrollment, plan configuration, vendor feeds, and annual enrollment. - Advanced analytical and problem-solving skills, with the ability to identify root causes across systems, processes, integrations, and data. - Excellent communication, documentation, and stakeholder management skills, adapting your style to different audiences. - Ability to manage competing priorities independently, make well-reasoned recommendations, and operate effectively in a fast-moving, high-growth environment. BONUS POINTS - Workday certification or Workday Pro certification in HCM, Benefits, or a related area. - Experience with Workday integrations, EIBs, reports, calculated fields, or APIs. - Experience supporting recruiting system integrations with Workday or other people systems. - Experience with Workday Benefits, Absence, Compensation, Payroll, or Recruiting-related processes. - Experience supporting global HR systems, multiple worker populations, or international expansion. - Experience leading the evaluation and adoption of new Workday or HR technology features. - Experience with security configuration, role-based access, audit readiness, or data governance. - Experience mentoring or guiding other systems analysts or administrators. - Experience working at a high-growth technology company.   HOW YOU’LL MAKE AN IMPACT In this role, you’ll own key parts of Harvey’s people systems foundation and help make sure it is reliable, scalable, and easy to use. You’ll improve the employee and candidate experience by removing manual work, strengthening data quality, and helping People teams operate with greater confidence. Your expertise will shape how HCM, Benefits, and recruiting workflows evolve as Harvey grows, and you’ll set the standards for how we design, test, and govern changes to our systems. COMPENSATION $136,000 - $204,000 USD   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-RB1   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

Location: New York 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 We’re looking for a Senior People Systems Analyst to own and scale the systems and workflows that support Harvey’s growing global workforce. This role will primarily focus on Workday HCM, owning the design, configuration, testing, and continuous improvement of complex business processes. You’ll also be the go-to systems expert for Benefits and our Applicant Tracking System (Ashby). That means leading feature evaluation, solution design, configuration, root-cause troubleshooting, and end-to-end testing. You’ll partner closely with People Operations, Benefits, Recruiting, Payroll, Finance, Legal, and Corporate IT to turn business needs into scalable, intuitive, and well-governed system solutions. The ideal candidate is an experienced, hands-on systems professional who works independently from requirements through deployment, brings a clear point of view on how to solve problems, and influences stakeholders toward durable, scalable outcomes. WHAT YOU'LL DO - Own the configuration, maintenance, and optimization of Workday HCM, including complex business processes, condition rules, approval routing, notifications, security assignments, and worker lifecycle workflows. - Lead solution design end to end: translate ambiguous business needs into system solutions, assess downstream impacts across HCM, Benefits, Payroll, reporting, integrations, and employee experience, and bring recommendations to critical decision points. - Serve as the subject-matter expert for Benefits systems, owning plan configuration, eligibility rules, enrollment workflows, vendor integrations, annual enrollment readiness, issue resolution, and process improvements. - Support Recruiting Systems and administration which includes integrations, and data quality. - Advise senior stakeholders on system capabilities, new features, configuration tradeoffs, and opportunities to simplify or automate manual processes. Explain complex topics clearly and persuasively. - Define and drive testing strategy across Workday, Benefits, Ashby, and connected systems, including workflow, regression, release, and user acceptance testing. - Diagnose complex or unusual system and data issues by tracing configuration, business rules, integrations, and upstream and downstream dependencies. Identify root causes and put durable fixes in place rather than one-off workarounds. - Lead enhancement projects from discovery through deployment with People Operations, Benefits, Recruiting, Payroll, Finance, Legal, and IT, including gathering requirements, documenting options, and prioritizing work. - Set the standard for configuration documentation, test plans, process maps, release notes, and operational procedures that support governance and team self-service. - Proactively monitor system health and data integrity, lead audit and reconciliation support, and uphold security and data governance practices for employee and candidate data. - Lead Workday and vendor release management: evaluate new functionality, assess impact, coordinate testing, and drive adoption decisions. - Act as a resource for peers and stakeholders on complex or challenging systems questions, sharing knowledge and best practices across the team. WHAT YOU HAVE - 5+ years of hands-on experience configuring and supporting Workday, an HRIS, or related enterprise business systems. - Deep experience with Workday HCM configuration and the Business Process Framework, including condition rules, approval routing, notifications, security, and workflow design. - Proven ability to independently design and deliver complex, cross-system workflows, using sound judgment to know when a decision needs broader review. - A track record of owning projects that improved workflows, reduced manual effort, or introduced new tools or automation. - Strong experience turning ambiguous business requirements into system solutions, often with limited information, and explaining technical tradeoffs persuasively to non-technical and senior audiences. - Experience defining and running testing strategies, including regression, UAT, defect triage, data validation, and production change management. - Solid working knowledge of Benefits administration or Benefits systems, including eligibility, enrollment, plan configuration, vendor feeds, and annual enrollment. - Advanced analytical and problem-solving skills, with the ability to identify root causes across systems, processes, integrations, and data. - Excellent communication, documentation, and stakeholder management skills, adapting your style to different audiences. - Ability to manage competing priorities independently, make well-reasoned recommendations, and operate effectively in a fast-moving, high-growth environment. BONUS POINTS - Workday certification or Workday Pro certification in HCM, Benefits, or a related area. - Experience with Workday integrations, EIBs, reports, calculated fields, or APIs. - Experience supporting recruiting system integrations with Workday or other people systems. - Experience with Workday Benefits, Absence, Compensation, Payroll, or Recruiting-related processes. - Experience supporting global HR systems, multiple worker populations, or international expansion. - Experience leading the evaluation and adoption of new Workday or HR technology features. - Experience with security configuration, role-based access, audit readiness, or data governance. - Experience mentoring or guiding other systems analysts or administrators. - Experience working at a high-growth technology company. HOW YOU’LL MAKE AN IMPACT In this role, you’ll own key parts of Harvey’s people systems foundation and help make sure it is reliable, scalable, and easy to use. You’ll improve the employee and candidate experience by removing manual work, strengthening data quality, and helping People teams operate with greater confidence. Your expertise will shape how HCM, Benefits, and recruiting workflows evolve as Harvey grows, and you’ll set the standards for how we design, test, and govern changes to our systems. COMPENSATION $136,000 - $204,000 USD 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-RB1 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

Location: Mexico Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  About the Role We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds. Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record. You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool. We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction. This role is a deliberate combination of three things: 1. Fluency with data itself - the ability to query, shape, and manipulate data directly. 2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering. 3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified. What You'll Do Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster. • Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer. • Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools. • Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way. • Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened. • Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool. • Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls. • Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively. • Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes. • Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests. • Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor. • Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders. • Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go. How You Think Technical skills matter, but how you approach problems matters just as much. We're looking for someone who: • Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense. • Enjoys digging into messy or unfamiliar data and figuring out how things connect. • Doesn't assume an existing process or report is right simply because that's how it's always been done. • Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone. • Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for. • Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer. • Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket. • Likes building things, experimenting, and continuously improving how work gets done. Required Skills and Experience 5-10 years of relevant experience required. You should be genuinely, hands-on strong across: • SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas. • Python - practical proficiency for data transformation, analysis, and automation. • ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus. • Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format. • Automation - demonstrated experience automating manual, recurring data or reporting workflows. • Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job. • Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks. • Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened. • Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language. Preferred Experience Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus. • Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function. • Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis. • Experience modernizing legacy Excel-based reporting or analytical processes. • Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented. • Experience working effectively in a fully remote, distributed team environment. • Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation). • Machine learning, statistical modeling, or formal data science experience is welcome but not required.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE This is a rare opportunity to partner directly with Replit’s President, Michele Catasta. As Replit leads in making useful intelligence accessible to all, you will serve as the company President's primary operational and strategic force multiplier across these critical organizations. Your mandate is to own the most complex cross-functional challenges, unblock technical and operational bottlenecks, and ensure that the core product, engineering, and organizational engines operate with speed, coherence, and precision. This is a high-leverage individual contributor (IC) role, not a traditional management track or team-building post. You will scale your personal leverage through AI workflows, agentic automation, and rigorous analytical judgment, influence, not headcount. You are the operator Michele turns to when an issue spans multiple disciplines such as technical architecture, product execution, support feedback loops, or organizational design and demands a single, decisive owner. WHAT YOU’LL DO - Act as Trusted Advisor & Operational Stand-in: Serve as a direct thought partner and proxy for Michele. Elevate core operational insights, synthesize briefings for high-stakes technical and organizational decisions, and step in as a representative when needed. - Proactively Clear Cross-Functional Friction: Anticipate blind spots and resolve organizational bottlenecks before they escalate. Bridge natural seams between Engineering, Product, Support, AI teams to ensure high-cadence execution. - Directly Responsible Individual (DRI) for Complex Initiatives: Spearhead high-priority projects that lack a neat functional home such as evolving product unit economics, developer tooling infrastructure shifts, pricing models, or technical re-architectures. - Scale Impact via AI & Automation: Actively build and deploy AI agents, automation pipelines, and modern operational workflows to multiply your personal bandwidth across status synthesis, metrics tracking, scenario modeling, and operational monitoring. WHAT THIS ROLE IS NOT - Not a Routine Data / BI Role: You will not be building routine dashboards, running routine SQL queries, or handling standard quarterly analytics. Those belong to Data, RevOps, and Strategic Finance. - Not Bureaucracy or Process for Process’s Sake: We prioritize momentum, rapid iteration, and decisiveness over heavy governance frameworks or dense slide decks. WHAT WE LOOK FOR - 7+ Years in High-Growth Tech: Proven track record in strategy, operations, product operations, or technical chief of staff roles, with extensive time spent working shoulder-to-shoulder with Engineering and Product leadership. - Cross-Domain Credibility: Strong technical fluency to earn the respect of Staff/Principal Engineers and AI researchers, paired with the operational empathy to partner effectively with Support and People teams. - Exceptional Execution in Ambiguity: The ability to take ill-defined, sprawling problems, define clean problem boundaries, and drive them to resolution without formal line authority. - Strong Quantitative & Analytical Toolkit: Deep comfort evaluating unit economics, interrogating technical systems data, building scenario models, and separating actionable signal from noise. - Executive-Ready Communication: Direct, concise communicator who can deliver unambiguous trade-offs and recommendations to senior leadership with clarity and brevity. - Hands-on AI & Agent Automation: Active, practical experience leveraging LLM workflows, coding agents, and automation frameworks to amplify daily productivity and analytical depth. - Presence & Proximity: Continual availability is essential. Ability to work in-person (at least) three days a week (Monday, Wednesday, Friday) in Foster City, CA, collaborating closely on-site with leadership. - Scale Experience: Experience navigating rapid organizational scaling while maintaining high cultural and engineering standards. NICE-TO-HAVES - Deep Developer Tooling Background: Prior experience in developer platforms, cloud infrastructure, AI coding assistants, or developer-focused software ecosystems. HOW WE’LL KNOW IT’S WORKING - Decision Velocity Across Functions Increases: Product, engineering, and support initiatives move from scoping to execution faster, with clear alignment and measurable business impact. - Net-Negative Friction: Teams actively seek your partnership because your involvement removes ambiguity, sharpens priorities, and unblocks progress rather than introducing overhead. - Integrated Health Sightlines: Replit's President has continuous, high-signal visibility into the operating health, technical execution, and organizational sentiment across all reporting groups. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.