Location: India
Workplace: remote
We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.
𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼:
✅Notices when recommendations actually make sense
🧠Thinks critically about usefulness, intent, and context
🖥️Cares about accuracy in digital experiences
This project is built for you.
Contract type: Freelance
Language: Marathi (India)
Location: Mumbai
Estimated volume: 8 - 10 hours
Start date: The project runs on a weekly basis.
What you will do:
Review search queries with results personalized based on your activity history
Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited
Rate whether the suggested places are relevant and useful
Follow project guidelines and complete tasks accurately
Requirements:
To be located and have the right to work in India.
An existing, actively used
Gmail account
with prior usage history on
Google Maps.
Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you.
Please note:
This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve.
A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.
Задачи:
— Проектировать, строить и оптимизировать крупномасштабные ETL, стриминговые и пакетные конвейеры обработки данных.
— Реализовывать и поддерживать высокопроизводительные/низколатентные хранилища данных (например, для рекомендаций в реальном времени).
— Внедрять и улучшать механизмы управления данными для обеспечения качества и надежности данных.
— Ускорять инновации, создавая и улучшая инфраструктуру машинного обучения, включая фреймворки для обучения, оценки и экспериментов.
— Сотрудничать с менеджерами продуктов, дата-сайентистами, инженерами и аналитиками для создания положительного влияния на клиентов.
— Помогать определять цели команды.
— Постоянно улучшать самоорганизацию команды.
Требования:
— Опыт применения принципов инженерии программного обеспечения к системам управления данными.
— Умение строить надежную, масштабируемую инфраструктуру данных с использованием качественного кода, а не только SQL.
— Опыт не менее 3 лет в проектах по инженерии данных.
— Хорошее понимание распределенных механизмов обработки данных.
— Умение диагностировать и оптимизировать медленные конвейеры данных.
— Опыт работы с крупномасштабной пакетной и/или потоковой обработкой (например, Spark, Hadoop, Flink, Storm, Apache Beam, Kafka).
— Владение Python или Java.
— Глубокое понимание распределенных баз данных, особенно высокопроизводительных/низколатентных хранилищ данных (например, DynamoDB, Cassandra, Redis).
Условия:
— Программа акций для сотрудников.
— Скидки 40% на товары моды и красоты Zalando, 30% на Zalando Lounge, скидки у внешних партнеров.
— 2 оплачиваемых дня волонтерства в год.
— Гибридный режим работы с возможностью до 60% удаленной работы в неделю.
— Возможность работать из-за рубежа до 30 рабочих дней в году.
— 27 дней отпуска в год с начала работы.
— Помощь с релокацией (по предварительной договоренности).
— Семейные услуги, включая консультации и поддержку.
— Опции для здоровья и благополучия (включая Gympass).
— Поддержка психического здоровья и коучинг.
— Возможности развития через обучающую платформу и двухразовые отзывы от коллег.
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
Are you an engineer who loves diving deep into ML models, building standalone CLI tools, and exploring how far AI agents can go in autonomous coding? Do you want to rethink how software is built and use the tools you create every single day?
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI. We're combining the latest advancements in AI and LLMs with our decades of software development expertise.
We are working in three main areas: growing Junie CLI into a general-purpose agent independent of any IDE, optimizing model ensembling and setups for the best cost-to-intelligence ratio without compromising code quality, and pushing next-level autonomy so Junie can own, maintain, and evolve entire subsystems over multi-day horizons.
You’ll have end-to-end ownership over these initiatives, taking work from early research to production code while shaping the future of autonomous development.
Day to day, you will:
Develop and ship new features for Junie across CLI and model integrations.
Experiment with model setups, ensembling, and cost efficiency strategies.
Build and test autonomous agent behaviors for long-term project maintenance.
Own the full development cycle from initial research to production-ready code.
Use Junie daily to continuously iterate on its quality and user experience.
What you’ll bring
Comfort taking full ownership of decisions and implementation.
The curiosity to challenge assumptions and experiment with new ideas.
The ability to learn new concepts quickly and adapt quickly.
A mindset focused on long-term impact rather than short-term workarounds.
Strong interest in autonomous AI systems and software engineering tools.
What you’ll need
A proven track record of developing and shipping machine learning or full-stack software products.
Hands-on experience working with LLMs, prompt engineering, or agentic workflows.
The ability to write high-quality production code across the full development lifecycle.
Practical experience building or fine-tuning ML models.
What success looks like
In this role, success means taking bold experiments in agent autonomy and cost efficiency and turning them into reliable, production-ready capabilities. You'll know you're succeeding when Junie can tackle complex multi-day engineering tasks autonomously and the tool you build every day actively improves your own engineering workflow.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Требования:
— 5+ лет в production ML/NLP: системы, которые вы поддерживали после запуска
— техническое лидерство: решения по стеку за команду, ревью, ответственность за сдачу шире своих задач
— RAG целиком: гибридный поиск, чанкинг, реранкинг, методика оценки
— self-hosted инференс открытых моделей, квантизация, расчет GPU
— eval-наборы: чем вы докажете, что новая версия не хуже прошлой
— развертывание в закрытом контуре, на инфраструктуре заказчика
Половина роли техническая, половина переговорная: защищать архитектуру и метрики качества перед ИТ-директором заказчика.
Условия:
— Оплачиваемый испытательный срок
— Бонусы за сдачу проектов
— Офис в Алматы
— Зарплата: 1 000 000 – 1 400 000 ₸
Чего ждём от тебя
Без этого не получится:
- 5+ лет в ML/DS — опыт выкатывания моделей в прод и понимание практических аспектов
- Уверенный Python: ООП, типизация, тесты
- Классический ML: бустинги, валидация, понимание, где нейросеть избыточна, а где достаточно градиентного бустинга
- Опыт с текстовыми нейросетевыми моделями: BERT-подобные трансформеры, LLM API, промпт-инжиниринг, eval-сеты
- Практический опыт MLOps: пайплайны данных, оркестрация (Airflow, Kubeflow или аналоги), трекинг экспериментов
- Инфраструктурный бэкграунд: Docker, CI/CD, Kubernetes, логирование и мониторинг — понимание высоконагруженных сервисов
- Умение мыслить P&L: перевод метрик моделей (F1, ROC-AUC) в конверсии и деньги, защита технических решений перед бизнесом финансовыми аргументами
- Опыт менторства или лидерства и желание этим заниматься
Задачи:
— Разработка ИИ-решений для образовательных систем
— Разработка автоматизированных пайплайнов для проверки и оценки ответов
— Проведение экспериментов с большими языковыми моделями (LLM), промптами и методами дообучения
— Подготовка, обработка и анализ данных
Требования:
— Опыт работы в Data Science, Machine Learning или NLP от 2 лет
— Хорошее знание основ машинного и глубокого обучения
— Уверенное владение Python
— Продвинутый уровень SQL
— Опыт работы с библиотеками для анализа данных и машинного обучения: NumPy, pandas, scikit-learn
Условия:
— Работа в офисе в Астане
Location: France
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in French (France). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Quebec City, Canada
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in French (Quebec). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Peru
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in Spanish (Peru). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Mexico
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in Spanish (Mexico). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Complete approximately 8 hours of calibration prior to production, observing sessions to align on facilitation style, recording objectives, and workflow
Support recording sessions independently following calibration
Monitor recordings in real time, resolving technical or conversational issues as they arise to minimize re-records
What We're Looking For
Native-level fluency in Spanish (Mexico)
Experience facilitating recording sessions and coaching participants for natural, authentic delivery
Comfortable managing real-time technical quality monitoring (file format, recording specifications) during live sessions
Available to support sessions running approximately 4 hours each
Commitment & Compensation
Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant
Compensation: $55.00 USD per hour
Work Type - Freelance Remote
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Spain
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in Spanish. In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: United States
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project. In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Germany
Workplace: remote
About the Project
We are looking for a Session Director to support live, supervised voice recording sessions for a multilingual conversational AI project in German (Germany). In this role, you'll facilitate recording sessions, provide real-time participant coaching, and monitor technical quality throughout, helping ensure recordings are natural, authentic, and meet project specifications.
What You'll Do
Manage session facilitation, real-time coaching, and recording quality monitoring throughout each session
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Задачи:
- Реализация высоконагруженных конвейеров обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем Банка.
- Реализация комплексных задач по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.
- Разработка и поддержание в актуальном состоянии документации по разработанному функционалу.
- Своевременное отражение статуса выполнения задач в Jira.
- Проверка качества кода (код-ревью), написанного инженерами и младшими инженерами данных.
Требования:
- Python - уверенное знание структур данных и алгоритмов, эффективное применение принципов ООП и ФП (Функциональное программирование), опыт написания модульных и интеграционных тестов, знание и опыт применения библиотек обработки и анализа данных - numpy, pandas.
- Опыт разработки и внедрения в промышленную эксплуатацию сервисов загрузки и обработки неструктурированных и слабо структурированных данных (текст, xml, json) из внешних источников.
- Способность разобраться с API поставщиков данных, используя доступную документацию.
- SQL - умение создавать сложные запросы с использованием аналитических оконных функций и использовать инструменты профилирования для оптимизации их производительности, опыт работы с БД Oracle, Postgres, Greenplum.
- Уверенное знание и опыт работы с инструментами разработки, планирования и мониторинга рабочих процессов (workflow engines) пакетной обработки данных.
- Airflow.
- Опыт разработки сложных, высоконагруженных приложений обработки данных на основе PySpark, уверенное знание настроек Spark и их влияния на производительность приложений Spark.
Обязанности:
• Участие в проектах в качестве стажера – разработчика DWH, ETL, BigData
• Разработка сценариев обработки данных ETL, ELT
• Проектирование логических и физических моделей данных в DWH
• Написание проектной технической документации
• Знакомство с новыми продуктами и технологическими стеками
Требования:
• Высшее техническое образование или студент старших курсов
• Базовые знания SQL и СУБД
• Базовые знания DWH, Data Lake, ETL и желание развиваться в сфере работы с данными
• Знания англ. языка на техническом уровне или выше
• Пройденный офлайн/онлайн курс по любой из тем: СУБД, DWH, BigData, ETL (будет плюсом)
• Опыт построения моделей данных для СУБД в т.ч. с применением CASE-инструментов (будет плюсом)
• Знания принципов и методологий построения решений класса DWH (будет плюсом)
• Знания в части работы ETL-процессов и инструментов (будет плюсом)
• Знания в области БД (Hive, ClickHouse, GreenPlum, PostgreSQL, Oracle DB, MS SQL или другие) (будет плюсом)
• Знания языков программирования Python, Java, Scala и т.д. (будет плюсом)
Условия:
• Зарплату, соответствующую опыту и навыкам
• Прозрачную систему мотивации
• Работу в компании с аккредитацией в Минцифре
• Курсы и тренинги от корпоративного университета, внешнее обучение за счет компании
• Расширенный пакет ДМС со стоматологией и психологом, телемедицина 24/7, HotLineCROC
• Сезонные спортивные программы, современный спортзал для занятий в офисе, беговой клуб, приложение Croc Sport, командные соревнования
• Совместные путешествия, праздники, тимбилдинги, клуб путешественников
• Возможность гибко строить свой карьерный трек
• Выступать на внешних и внутренних митапах и конференциях, писать в техноблоги, участвовать в образовательных программах
• Компенсация питания в CROC Cafe, экосистема сервисов, парковка, корпоративный транспорт от метро
Задачи:
- Развитие алгоритмов ранжирования и рекомендаций для контента вертикали Посутка
- Построение и развитие моделей улучшения качества контента
- Исследование возможностей внедрения ML и AI в команде
- Вместе с продуктовым руководителем вертикали формировать планы и отвечать за результат работы ML моделей
Требования к кандидату:
- Опыт работы от 3х лет
- Опыт доведения ML-моделей до продакшена и оценки влияния на бизнес от внедрения
- Опыт построения ML-моделей для персонального ранжирования, рекомендаций и предсказания CTR
- Опыт использования технологий для работы с большими данными и распределенными системами (Hadoop, Spark, S3)
- Знание ML-алгоритмов и применение их на практике
- Владение Python и основными ML-фреймворками
- Понимание различных моделей монетизации и механизмов управления ликвидности
- Прикладной опыт и подтвержденные успехи в решении задач ранжирования и построения рекомендаций
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. This team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights.
As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement
Champion data quality, accessibility, and the democratization of data across the company
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research
We'd love to hear from you if you have:
8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers
7+ years of experience working in AI, Data Science, or a related field
Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots
Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team
Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture
While not required, it’s an added plus if you also have:
Experience owning 0 to 1 product areas
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$290,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
