Задачи:
— Развивать продукт в тесном взаимодействии с клиентами, бизнесом и командой.
— Проводить кастдевы и исследования, находить реальные боли и потребности пользователей.
— Формулировать и проверять продуктовые гипотезы на основе данных, исследований, обратной связи и погружения в реальные процессы бизнеса.
— Находить и прорабатывать оптимальные продуктовые решения — от идеи и прототипа до релиза и оценки результата.
— Работать с продуктовыми метриками и понимать, как изменения влияют на пользовательский опыт и бизнес-результат.
— Ставить задачи дизайнерам и команде разработки, работать с ними напрямую и доводить решения до продакшена.
— Анализировать рынок и конкурентов, находить возможности для развития продукта.
— Использовать AI в ежедневной работе: для исследований, анализа данных и обратной связи, прототипирования, подготовки постановок и автоматизации рутины.
Требования:
— Опыт в продуктовой роли: Product Manager / Product Owner от 3-х лет.
— Опыт в одном из релевантных доменов: сервисы для поиска исполнителей, финтех, HR-tech, gig-tech, продукты для самозанятых или транзакционные продукты с платежами, выплатами, налогами, ЭДО.
— Используешь AI в ежедневной продуктовой работе: для прототипирования, анализа данных и обратной связи, подготовки постановок, исследования требований и автоматизации рутины.
— Готов показать свой рабочий процесс и инструменты.
— Умеешь самостоятельно вести задачу от проблемы до результата, а не только поддерживать roadmap.
— Понимаешь продуктовые метрики и умеешь работать с воронками.
— Умеешь работать с разработкой напрямую: формулировать задачи, принимать результат и отвечать за итог.
— Не боишься сложных процессов, большого количества зависимостей и регуляторных требований.
— Умеешь принимать решения на основе данных и самостоятельно погружаться в детали.
Условия:
— Продукт с реальным влиянием на бизнес, а не «поддержка легаси».
— Большая зона ответственности и свобода в принятии решений — можно влиять на то, что и как развивается.
— Сложный продукт на стыке B2B и B2C, HR-tech и финтеха — много задач, где нужно действительно думать как продукт.
— AI-first подход в работе: AI-инструменты уже встроены в реальные процессы команды — используем их для исследования, прототипирования, анализа и ускорения запуска решений.
— Гибкий формат работы: преимущественно удалённо, при желании — офис в Москве, м. Белорусская, для командных встреч и брейнштормов.
— Оформление по ТК РФ.
ГибридМосква; Анализировать рынок и конкурентов, находить возможности для развития продукта
Задачи:
— Формировать продуктовую стратегию: анализировать рынок профессионального оборудования для ритейла, понимать потребности крупных клиентов и изменения спроса, определять перспективные продуктовые категории, формировать стратегию развития продуктового направления, анализировать конкурентов, производителей и новые технологические решения, определять приоритеты развития продуктового портфеля.
— Управлять продуктовой линейкой: формировать и развивать ассортиментную матрицу, определять необходимые модели, конфигурации и ценовые сегменты, принимать решения о вводе новых продуктов, управлять жизненным циклом оборудования, контролировать актуальность модельного ряда, своевременно выводить устаревшие и неэффективные позиции, находить замену оборудованию, которое снимается с производства или перестаёт соответствовать требованиям рынка.
— Работать с клиентами и рынком: общаться с крупными B2B-клиентами, выявлять реальные потребности и требования ритейла к оборудованию, участвовать во встречах с ключевыми заказчиками, анализировать обратную связь от клиентов, отдела продаж и сервиса, переводить потребности рынка в требования к новым моделям и продуктовым линейкам, участвовать в подборе оборудования под крупные клиентские проекты.
— Работать с оборудованием: разбираться в характеристиках профессионального оборудования, сравнивать модели разных производителей, формировать требования к характеристикам, комплектациям и конфигурациям, участвовать в тестировании новых моделей, оценивать надёжность, качество и удобство эксплуатации оборудования, совместно с техническими специалистами принимать решения о вводе новых продуктов в ассортимент.
— Работать с производителями и поставщиками: взаимодействовать с российскими и зарубежными вендорами, анализировать предложения производителей и дистрибьюторов, участвовать в выборе оборудования и продуктовых платформ, сравнивать характеристики, стоимость, качество и коммерческий потенциал моделей, участвовать в переговорах с поставщиками, инициировать разработку или изменение конфигураций оборудования под потребности рынка.
— Управлять экономикой продукта: отвечать за коммерческие показатели продуктового направления, анализировать закупочную стоимость, себестоимость и маржинальность, участвовать в формировании ценовой политики, прогнозировать продажи и прибыльность продуктовой линейки, анализировать продажи по категориям, моделям и SKU, контролировать эффективность ассортиментной матрицы, выявлять низкомаржинальные и слабо востребованные позиции, искать точки роста выручки и валовой прибыли.
— Контролировать качество: анализировать статистику отказов и гарантийных обращений, работать совместно с сервисным подразделением, выявлять системные проблемы оборудования, учитывать ремонтопригодность, надёжность и стоимость владения при выборе новых моделей, принимать решения о доработке, замене или выводе проблемного оборудования.
— Выводить новые продукты на рынок: организовывать запуск новых моделей и продуктовых категорий, формировать позиционирование продукта, совместно с маркетингом готовить продуктовые материалы, обучать отдел продаж особенностям и преимуществам оборудования, помогать продажам подбирать решения под задачи клиентов, участвовать в презентациях и крупных коммерческих проектах.
Требования:
— Опыт работы Product Manager / Product Owner от 3 лет;
— Опыт работы с физическим B2B-продуктом;
— Опыт управления продуктовой линейкой или ассортиментом оборудования;
— Умение разбираться в технических характеристиках и сравнивать оборудование;
— Понимание жизненного цикла физического продукта;
— Опыт анализа рынка и конкурентной среды;
— Опыт формирования ассортиментной матрицы;
— Понимание ценообразования, себестоимости и маржинальности;
— Умение работать с большим количеством SKU;
— Опыт взаимодействия с производителями, поставщиками или дистрибьюторами;
— Сильные аналитические навыки;
— Самостоятельность в принятии решений и ответственность за коммерческий результат.
Будет преимуществом:
— Опыт работы в Retail Tech;
— Опыт работы с POS-оборудованием;
— Знание рынка кассовой техники и периферии;
— Опыт работы с системными блоками, POS-мониторами, сканерами, принтерами, ТСД и фискальными регистраторами;
— Опыт работы с OEM/ODM-производителями;
— Опыт запуска новых аппаратных продуктов;
— Понимание специфики федерального ритейла.
Условия:
— Финансовая стабильность: оформление по ТК РФ с первого рабочего дня, зарплата на уровне рынка, выплаты точно в срок;
— Офис с доступом за 10 минут от метро Варшавская/Каширская и гибкий график;
— Работа на час меньше в пятницу;
— Технологичное рабочее место: 2 монитора, все нужные девайсы и софт;
— Столовая с зерновым кофе и автоматами для перекусов;
— Мобильная связь за счет компании, 4 дня в году day-off по болезни;
— Минимум формальностей, оперативность в работе.
Задачи:
— Развивать мэтчинг и ранжирование преподавателей на основе данных о качестве и LT пар;
— Сокращать путь от оплаты до первых регулярных занятий и повышать долю учеников, закрепившихся в паре;
— Исследовать причины распада пар, выявлять ранние признаки риска и запускать механики удержания;
— Развивать сбор обратной связи и превращать его в конкретные улучшения продукта и платформы;
— Управлять работой кросс‑функциональных команд для реализации продуктовых инициатив (разработка, дизайн, аналитика, сопровождение);
— Отслеживать и измерять результаты от внедренных изменений.
Требования:
— Опыт в EdTech и понимание специфики воронок, retention и LTV ученика;
— Владение полным продуктовым циклом — от исследований и гипотез до A/B‑тестов и внедрения решений;
— Навыки работы с метриками, дашбордами, базовое понимание P&L и юнит‑экономики;
— Умение проводить кастдевы, выявлять причины оттока и выстраивать механики удержания;
— Самостоятельность в принятии решений, готовность аргументированно отстаивать приоритеты и взаимодействовать с кросс‑функциональными командами.
Условия:
— Оформление в соответствии с ТК РФ в аккредитованной ИТ-компании;
— Работа в офисе с гибким началом рабочего дня (с 9:00, 10:00), возможен гибридный формат работы;
— ДМС со стоматологией после 3 месяцев работы;
— Возможность обучения сотрудника и его детей со скидкой 50% на нашей платформе;
— Корпоративные скидки от наших партнёров;
— Уютный офис в шаговой доступности от метро Курская на территории креативного кластера Artplay.
Процесс найма:
— Видеоинтервью с рекрутером → видеоинтервью с руководителем → финальное интервью в офисе с директором → оффер.
ГибридseniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— Делать веб-направление yota.ru лучше и прибыльнее, а клиентов — счастливее
— Управлять полным жизненным циклом фич – от формулировки и валидации бизнес-гипотезы до оценки реального экономического эффекта
— Выступать связующим звеном между бизнесом, маркетингом, внешними партнёрами, дизайнерами и командой разработки в процессе проработки фичей
— Формировать и приоритизировать бэклог задач, управляя ожиданиями стейкхолдеров и находить баланс между скоростью, качеством и бизнес-ценностью
— Работать над ростом целевых метрик и оценивать вклад от запуска новых фичей и внедряемых изменений
— Выдвигать гипотезы, проводить исследования и A/B-тесты, искать слабые места в сценариях и точки роста
— Погружаться в технические аспекты реализации, тестировать новые фичи, контролировать качество и проверять разметку аналитики перед выкаткой
— Быть в курсе трендов телеком-рынка и финтеха, предлагать решения на опережение
Требования:
— Опыт в продуктовом менеджменте в веб-продуктах и приложениях с высоким трафиком от 3 лет
— Data-driven мышление: работа с воронками данных, умение делать выводы и принимать решения на основе цифр
— Структурировать хаос: переводить бизнес-запросы в пользовательские сценарии и продуктовые требования
— Объяснять сложное простым языком, доносить результаты своей работы, отстаивать решения, предлагать альтернативы, слышать оппонентов и находить общий язык
— Отстаивать интересы пользователей и отказываться от инициатив, ухудшающих UX и не имеющих экономического обоснования
— Контролировать качество реализации: тестировать фичи и разметку аналитики
— Опыт взаимодействия с командой разработки от 3-х лет (дизайнеры, системные аналитики, бэкенд и фронтенд разработчики, тестировщики)
— Опыт работы с Jira, Figma, Miro, Яндекс Метрика
Условия:
— Трудоустройство в аккредитованную ИТ-компанию ООО «МегаТех»
Задачи:
— Отвечать за продуктовую стратегию и развитие GigaCode Desktop.
— Исследовать задачи разных ролей PDLC и находить сценарии, где AI-агенты дают максимальную ценность.
— Формировать и приоритизировать roadmap продукта.
— Проектировать отдельные role-based сценарии и рабочие пространства для системного и бизнес-аналитика, QA, владельца продукта, project/product manager и других ролей PDLC.
— Развивать агентские сценарии: Skills, MCP, subagents, интеграции с корпоративными системами и инструментами пользователей.
— Работать с UX/UI командой над простым интерфейсом для сложных агентских возможностей.
— Проверять гипотезы через интервью, прототипы, пилоты и продуктовую аналитику.
— Определять продуктовые метрики: activation, adoption, retention, частоту использования ключевых сценариев и эффект для пользователей.
— Работать вместе с разработкой, дизайном, аналитиками, ML/AI-командами и внутренними заказчиками.
— Доводить продуктовые инициативы от идеи и discovery до запуска и измеримого результата.
Требования:
— Опыт работы Product Manager / Product Owner с digital-продуктами.
— Умение самостоятельно проводить discovery: исследовать пользователей, формулировать проблемы и проверять гипотезы.
— Сильное продуктовое мышление: способность отличать реальную пользовательскую ценность от просто интересной технологии.
— Умение проектировать сложные пользовательские сценарии и превращать их в понятный продукт.
— Опыт работы с кросс-функциональными командами разработки.
— Понимание продуктовых метрик и умение принимать решения на основе данных.
— Способность работать в условиях высокой неопределенности и самостоятельно формировать направление развития продукта.
— Технический бекграунд (разработка, системная аналитика).
— Глубокая экспертиза в использовании агентов Codex, Claude.
Будет большим плюсом:
— Опыт создания AI-продуктов, copilots или AI-агентов.
— Понимание современных LLM, tool calling, MCP, skills и multi-agent подходов.
— Опыт работы с developer tools, enterprise-продуктами или внутренними платформами.
— Понимание процессов разработки ПО и ролей внутри PDLC.
— Опыт создания продуктов сразу для нескольких пользовательских сегментов.
Условия:
— Комфортный современный офис рядом с м. Тульская.
— Возможность выбрать удобный график – офис/гибрид.
— Ежегодный пересмотр зарплаты и годовая премия.
— Корпоративный спортзал и зоны отдыха.
— Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития.
— 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: Remote - Bengaluru, India
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”.
We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executive, and who treats GTM as a first-class part of the product — not something that happens after the product is "done."
What You Will Do:
Growth strategy for our Data Intelligence products
— where we play, who we sell to, how we win, and the sequencing of bets that gets us there
Partnerships
— work closely with key partners to develop ground breaking products
The customer and buyer motion
— being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy.
Positioning and narrative
— partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO
Field partnership
— building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently
Pricing and packaging
— how Data Intelligence products are sold, how the AI and Analytics motions are priced differently if they should be, how we capture value as workloads grow
Competitive intelligence
— knowing the AI training inference competitive landscape, and shaping how we differentiate
Partner GTM for AI
— the AI ecosystem is partner-heavy, and unlocking it is part of the role
Influence on the product
— through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction.
Your Skills and Experience:
8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers
Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions
A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation
Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars
Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them
The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written
Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible
Real comfort with pricing and packaging decisions — if you've owned or co-owned them, not just commented on them, that's a big plus
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: United States
Workplace: remote
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As a Product Marketing Manager, you will be a key part of the execution engine behind Filevine's go-to-market motions. You will take our sophisticated Legal Operating Intelligence System capabilities and turn them into highly effective customer-facing assets, product content, and targeted tier-1 through 3 launches.
Working directly at the intersection of Product Management, Sales, and Marketing, you are responsible for keeping pace with an AI-forward environment where speed wins. This role requires a highly technical, execution-oriented marketer who thrives under tight timelines and loves getting their hands dirty building collateral, analyzing competitors, and helping cross-functional teams move forward together.
What You'll Do:
Product Content & Technical Literacy
Messaging and Positioning:
You will own messaging and positioning of the individual products within the portfolio for business partners and stakeholders.
Collateral Engine:
Author high-impact, foundational product content, customer presentations, pitch decks, feature blogs, and clear value-proposition briefs.
Technical Literacy Translation:
Take complex, technical AI architectures and LLM capabilities and translate them into intuitive, emotionally resonant customer facing collateral.
Flawless Execution:
Maintain high-quality craftsmanship while building assets rapidly to match the velocity of our product engineering cycle.
Launch Execution & GTM Orchestration
Cross-Functional Delivery:
Partner closely with Product Management, Sales, and Marketing teams to ensure everyone contributes effectively to GTM strategies and hits their respective milestones.
Use Case Activation:
Deeply understand buyer behaviors to develop and activate Filevine’s core use-case messaging, ensuring our positioning resonates from solo practitioners to enterprise legal teams. Understanding various types of legal practices is a must, direct legal industry experience is a strong plus!
Sales Enablement & Battlecard Culture
Battlecard Architecture:
Conduct ongoing competitive research to build, update, and deploy actionable battlecards and win/loss insights to keep Sales ahead of legacy tech and AI point solutions.
Revenue Enablement Support:
Support the implementation of comprehensive training programs to ensure Sales, Product Management, and Partner teams can effectively position Filevine’s unique advantages.
Market and analyst relations/awareness :
Track competitive and analyst environment to support briefings and reports that help to shape how Filevine is seen/understood by the market
Win/loss discipline:
Own a consistent win/loss practice and turn the findings into positioning changes.
Preferred Technical Acumen
Generative AI & LLMs:
Comfort with technical concepts, APIs, modern software architectures, and specific familiarity with Generative AI, LLMs, or legal workflows.
Technical Translation:
Ability to translate complex technical concepts and SaaS architecture into clear, compelling customer-facing materials and value propositions.
Cross-Functional Tech Alignment:
Ability to collaborate effectively with Product Management and Engineering teams to translate product roadmaps into GTM strategies.
Qualifications:
Professional Experience:
3–5 years of dedicated product marketing experience within a B2B SaaS environment, ideally experiencing the high-growth transition from Series C to IPO. Previous experience as a legal professional is a strong plus.
AI-Forward Execution & Velocity:
Proven experience working in a fast-paced technology or AI environment. You understand that speed wins, and you have a track record of flawlessly executing GTM tasks under tight timelines.
Proactive Writer & Practitioner:
A stellar portfolio demonstrating your ability to write clear, compelling product content and high-stakes customer-facing presentations.
Cross-Functional Collaboration:
Strong interpersonal skills with demonstrated success partnering across product, sales, and marketing teams to execute unified strategies.
Analytical & Technical Curiosity:
Comfort with technical concepts, APIs, and modern software architectures. Specific familiarity with Generative AI, LLMs, or legal workflows is highly advantageous.
Education:
Bachelor’s degree in Marketing, Business, Technical Writing, or a related field. A JD is also accepted and encouraged.
Compensation Information: $120k - 140k
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Filevine maintains offices in Salt Lake City, San Francisco, Chicago, and New York. Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: San Francisco
NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads).
ABOUT THE ROLE
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index.
This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school.
WHAT YOU WILL DO
- Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them.
- Ship to production continuously. New engineers typically have code in front of users in their first week.
- Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong.
- Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives.
- Raise the quality bar on reliability, latency, and craft for the surfaces you own.
- Work directly with designers, PMs, and research engineers, without unnecessary process in between.
WHAT WE LOOK FOR
- 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale.
- Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend.
- Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software.
- Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec.
- Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building.
NICE TO HAVE
- Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one.
- Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use.
- Product taste. You can tell a good interface from a bad one and explain how to improve it.
- A public track record we can read, such as GitHub, a technical blog, or a demo we can try.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
The Role
Fanatics is building a connected ecosystem where fans can move across Betting & Gaming, Collectibles, Live, FanApp and more, powered by a single identity, a shared loyalty system, and common product experiences.
We are looking for a senior product leader to build the social and community layer of that ecosystem. This is a growth job. One fan meets us across our products and is alone in all of them. We pay to acquire them four times and we work to keep them four times. The room to grow inside what we already own is bigger than anything more media spend or an additional vertical would get us.
Social is how we connect it. Fandom is a group activity and our products treat it as a solo one. Profiles, friends, groups, sharing, competition and status are the mechanics that bring acquisition cost down, carry a fan from one product into the next, and give people a reason to come back that isn't another push notification.
The other half of it is knowing who the fan is. We know who someone roots for, what they collect, what they've sat through as a fan. That turns a cross-sell into recognition, and it lets us answer a moment in one product with something real from another. It's a network of fans who are known and connected to each other organically.
You will own social end to end: the thesis, the roadmap, the mechanics, the growth numbers and the gamification layer that sits on top.
Why This Role Matters
Today our products are social in name only. Fans arrive alone, play alone, and leave without having met anyone. Every vertical acquires and retains its own users, discovery runs on merchandising slots rather than on what a fan's friends are doing, and identity mostly resets at every front door a user enters here. The result is separate funnels where there should be one network.
As the product leader for Growth, Social & Community, you will:
Define where ecosystem growth comes from and which social mechanics unlock it
Build identity and public profile as a real product
Create acquisition loops that come out of the product itself
Turn shared experience into a retention mechanic the whole ecosystem benefits from
Make the value of a social lever measurable enough to fund
Your work will directly affect blended acquisition cost, cross-product penetration and retention, Fanatics ONE membership and engagement, and the rate at which fans move from their first product into their second and third.
What You'll Do
Own the growth thesis and the roadmap
Write the point of view: where the growth comes from, which social mechanics get us there, what each one is worth, and the order to build them in.
Keep a live read on where consumer social is going and what it means for us.
Build acquisition that doesn't come out of the media budget
Invite, referral and friend discovery built into the product rather than sitting next to it.
Sharing that fans actually want to do, which means moments worth sending rather than a share button bolted on
Social surfaces that put Fanatics in front of people who aren't customers yet
Connect the ecosystem through identity and the social graph
Identity and a public social profile built as a real product: who someone is across verticals, who they root for, what they collect, what they're good at, carried with them instead of reset at every front door.
Reputation and a record worth showing off to all fans
One social graph that every vertical uses instead of each building its own.
Discovery driven by what a fan's friends are doing
A privacy model where being public is a choice and a safe one.
Design for moments rather than campaigns
Fandom runs on highs and lows, and the ecosystem gives us both the signal to see them and the means to respond.
Work from context and not just behavior, understand what happened to a fan and how the fan feels about it.
Bring generosity, perfect timing, and a bias toward being on the fan's side
Build community that keeps people around
Shared experience, including the plain fact of knowing that thousands of other fans are sitting in the same moment you are, sweating it together.
Own the gamification layer
Progression that means something
Group and squad competition, what makes a fan recruit their friends.
A clear position on where rewards genuinely change behavior and how to introduce
Prove it with data
Define what a social lever is worth
Density against retention, invite and share loops against acquisition cost, cross-product LTV, and what a second and third product per fan is actually worth.
The Bar
We are not trying to catch up. We intend to be where this happens for sports fans, and we have the fan base and the ecosystem to make that the clear outcome. You are expected to know what is shipping in that space before it ships, and to tell us what it means for us.
You will be working with a small, strong, AI-forward team that moves quickly. Keeping pace with them is part of the job. In practice that means you prototype, you get something in front of fans this week, and you don't wait on a sprint cycle to think and make decisions.
How We Measure Success
Reduction in blended acquisition cost attributable to in-product social loops
Share of fans connected to at least one other fan, and density on the surfaces that matter
Rate at which fans move from a first product into a second and third
Retention and engagement lift among connected fans versus unconnected ones
Fanatics ONE membership growth and login adoption across products
Adoption of shared social and identity components by partner teams
What You Bring
Eight or more years in product, with real time on growth and real time on social, community or network products at consumer scale
Social products rather than social features. Things where the value came from other users, and you know how graphs get built
You've carried a growth number and can defend a roadmap to it
Both ends of the funnel. Acquisition and retention
The ability to write the narrative that gets a company aligned, and to sit with two engineers and a designer and get something in front of users this week
You build fast. Prototypes over specs, days over quarters, and you cut things quickly when they don't work
You use consumer social products and have opinions about them. You also understand how fans behave, the loyalty and the superstition and the heartbreak
You decide at 80%, write down why, and change your mind when the data says to
You can write the query, design the test, debate incrementality with a data scientist, and tell a real lift from a seasonal one
You've dealt with the ugly side of user-generated content before - moderation, abuse, bad actors
Things That Make Us Lean Forward
A social product you shipped that outlived the team that built it
A graph you grew from nothing, and a clear story about how you solved cold start
Users you moved between products or business units at scale
Something you built that made people feel recognized
Something you killed because the data said to
Three social products you admire, why each loop works, and where each one breaks
Work across P&Ls where you owned the outcome but not the roadmap
Something public. A product, a repo, writing, a community you started and grew
Experience shipping social or UGC inside a regulated or high-scrutiny environment
Why You'll Love This Role
You'll build the social layer for one of the largest fan bases in sports
The vision is yours to write, and it comes with real investment behind it
Your work shows up across every Fanatics product rather than inside one of them
You'll work with strong partners across Product, Design, Engineering and Data
There is a shipping v1 to learn from and an open 2027 to define
#LI-LS2
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$200,000
—
$230,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Utah | Hybrid
Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.
AI at BambooHR
At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR!
Essential Job Duties
We're looking for a Staff Product Manager to make BambooHR the easiest HR platform to build on. You'll own the public developer surface end to end: the APIs, the SDKs, the developer portal, the documentation bar, and the connectors that put BambooHR inside the AI tools and marketplaces our customers already work in.
You'll serve three customers on one roadmap: partners, our customers' own developers, and AI agents. The partnerships organization owns the relationships and the commercial terms. This role decides what exists for them to sell, and partner-sourced revenue is now a company-level commitment.
This is a senior individual contributor role with no direct reports. You'll set the patterns the product managers building partner integrations work within, and you'll be the product voice in API and protocol decisions alongside senior engineers and architects.
You will:
Own the integration-category roadmap the partnerships organization sells against, making the build, co-build, or aggregate call for each one. Every committed category maps to something that exists, is dated, or was declined on the record.
Co-own category-level revenue assumptions with the VP of Partnerships. When partnerships commits to a number, you're accountable for the product plan underneath it.
Own the public API and SDK roadmap: what gets exposed, in what order, and to what standard, so partners can build without custom engineering support.
Run the developer portal as a product: self-service registration, authentication, app management, packaged integration patterns, and documentation good enough that nobody has to file a ticket.
Own BambooHR's presence in AI assistant ecosystems and marketplaces, including connector strategy built on open protocols such as MCP, the vendor submission and review relationships, and how AI agents act against the platform safely.
Carry launch readiness through third-party marketplace and app-review processes, treating external approval timelines as shipping commitments.
Set the API-first bar with internal product teams and own the review path new public capabilities go through, so they ship with public-grade contracts.
Work with security and identity teams on the authorization model for third parties and agents. What a partner or an AI assistant may see and do is a product decision you help make.
Guide the product managers building partner integrations, set the co-build patterns they work within, and arbitrate when partner demand and platform standards conflict.
Measure the ecosystem like a product: developer adoption, time to first integration, coverage of the categories partners ask for most, and the revenue they influence.
What You Need to Get the Job Done
You feel aligned with the BambooHR values
8+ years in product management on developer platforms, public APIs, or partner ecosystems, including a role where partner-sourced revenue was a company-level commitment.
Experience making and defending build-versus-partner-versus-aggregate economics calls.
You can hold a roadmap accountable to a revenue plan you share with a commercial organization that owns the relationships and the sellers.
Technical depth in API design and authentication patterns. You can read a spec, challenge an endpoint design, and make principled calls on versioning, scoping, and deprecation.
Comfort building on open protocols that change quarterly, where you're expected to become the company's expert on them.
You treat developers as customers. Documentation, onboarding, and support experience are product surfaces you own.
Proven ability to set standards and drive alignment across many teams without direct authority.
Enough credibility with senior engineers and architects to drive API and protocol decisions on your own.
Clear, direct communication with both technical and commercial audiences, up to and including executive review.
You identify the next constraint and move toward it without waiting for direction.
AI is already woven through how you work, not sprinkled on top of it. You use it to prototype more than you could before and to pressure-test your own thinking.
What Will Make Us REALLY Love You
Experience with AI agent protocols and assistant ecosystems such as MCP, or shipping connectors into third-party marketplaces.
Partner or marketplace ecosystem product management in a SaaS environment where partnerships carried a material share of revenue.
Familiarity with fine-grained authorization models for third-party and machine access.
Experience mentoring product managers as a senior individual contributor.
What You'll Love About Us
A
Great Company Culture
that has been recognized by multiple organizations like
Inc
, and
Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our
benefits that benefit you
About Us
At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.
We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.
What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.
BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.
BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.
For information on California Privacy Policy,
click here
.
Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our
General Privacy Notice
and
California Privacy Notice
for more details.
See our
AI Guidelines for Candidates
for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
About the Product team
The Product team listens to our customers’ needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision.
About the role
Affirm’s financial platforms power how loans are created, recorded, funded, serviced, and repaid, as well as how money moves across our products, partners, and markets. We’re looking for a Senior Director of Product Management to lead a portfolio spanning Capital and Affirm Bank, Loan Products, and Payment Services.
This leader will oversee a large, multi-domain product organization of approximately 15 product managers, including experienced people managers, with room to grow. They will set the long-term strategy for their portfolio, modernize Affirm’s ledger and downstream financial pipelines, strengthen Payment Services, and expand our Money Movement capabilities. The ideal candidate brings deep financial-domain knowledge, strong platform judgment, international experience, and a record of developing senior product leaders.
What you’ll do
Lead and scale a high-performing product organization.
Manage and develop experienced product leaders and people managers across Capital and Affirm Bank, Loan Products, and Payment Services. Shape the organization as its scope and size grow, while setting a high bar for product craft, strategy, execution, and talent development.
Set the multi-year strategy for the portfolio.
Establish a coherent direction across lending, Capital Markets, banking, the loan lifecycle, ledger and accounting capabilities, Money Movement, Open Banking, payment instruments, and processing.
Modernize Affirm’s ledger and financial pipelines.
Lead the strategy for evolving the systems that record and reconcile financial activity and support downstream Capital Markets, accounting, reporting, and Money Movement workflows. Improve scalability, reliability, controls, and development speed while protecting critical financial operations.
Strengthen Payment Services.
Develop the strategy for Open Banking, payment instruments, processing, routing, and related payment infrastructure. Improve payment success, resilience, processing flexibility, and transaction economics across Affirm’s products and markets.
Expand Money Movement capabilities.
Build the platforms and controls needed to support new account-based products, funds flows, payment rails, and financial experiences. Ensure settlement, reconciliation, reporting, and operational processes can scale with increasing product and geographic complexity.
Advance Affirm’s lending, capital, and banking platforms.
Guide the evolution of Loan Products, loan-lifecycle capabilities, Capital Markets systems, and Affirm Bank infrastructure. Develop shared capabilities that support new products and reduce fragmentation across financial systems.
Deliver meaningful business and customer impact.
Establish clear goals and success metrics across platform reliability, payment performance, processing costs, reconciliation accuracy, operational efficiency, financial controls, and the speed of launching new products and markets.
Make sound platform investment decisions.
Balance architectural modernization with product growth, regulatory requirements, operational risk, and near-term business needs. Establish clear sequencing and migration strategies for complex, interconnected systems.
Drive cross-functional alignment at scale.
Partner closely with Engineering, Analytics, Capital Markets, Treasury, Finance, Risk, Operations, Legal, Compliance, and Servicing to establish shared priorities and translate strategy into coordinated execution.
Enable global scale.
Build platform capabilities that support international markets and account for differences in payment rails, banking relationships, currencies, regulation, legal entities, controls, and operating models.
Influence senior leadership.
Clearly communicate strategy, investment priorities, performance, dependencies, and tradeoffs to executive stakeholders. Help shape decisions across the broader Financial Platforms organization.
What we look for
15+ years of product management experience, including leading large, high-performing teams of PMs and people managers across multiple domains
Demonstrated manager-of-managers experience, including developing senior leaders, designing organizations, hiring strong teams, and managing through growth and change
Substantial experience across several relevant domains, including lending, Capital Markets, regulated banking, financial ledgers or accounting systems, Money Movement, payment processing, Open Banking, or consumer payments
Direct experience leading complex platform or architecture transformations involving high-stakes financial systems
Proven ability to define and execute multi-year strategies spanning customer experiences, complex platforms, and operational capabilities
Strong knowledge of how money moves across financial products, institutions, processors, bank partners, and markets, including settlement, reconciliation, reporting, and operational controls
Experience building financial products or platforms across multiple countries and navigating differences in payment rails, banking relationships, regulation, legal entities, currencies, and operating models
Track record of driving alignment and execution across Engineering, Analytics, Capital Markets, Treasury, Finance, Risk, Operations, Legal, Compliance, and executive leadership
Exceptional leadership and communication skills, with the ability to create clarity, influence senior stakeholders, and develop strong product leaders
Proficiency with AI-assisted tools to accelerate analysis, decision-making, and team effectiveness
Bachelor’s degree or equivalent practical experience
Base Pay Grade - V
Equity Grade - USA 21
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range
(CA, CT, NJ, NY, WA)
per year:
$340,000 - $375,000
USA base pay range (all other U.S. states) per year:
$305,000 - $340,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Задачи:
— Погрузиться в продукт по управлению талантами и стать его маркетинговым экспертом.
— Исследовать рынок Talent Management, конкурентов, тренды и потребности клиентов.
— Формировать и развивать позиционирование продукта и его ключевые преимущества.
— Сегментировать целевую аудиторию, роли ЛПР и ключевые боли клиентов.
— Формировать value proposition для разных сегментов и сценариев использования продукта.
— Участвовать в определении продуктовой стратегии и roadmap с точки зрения потребностей рынка.
— Разработать и реализовать go-to-market стратегию.
— Выстроить процесс постоянной лидогенерации.
— Создавать sales kit: презентации, battle cards, кейсы, FAQ, материалы для переговоров.
— Помогать продажам лучше объяснять ценность продукта клиенту и отстраиваться от конкурентов.
— Участвовать в формировании продуктовых предложений, упаковке и коммерциализации новых релизов.
— Проводить CustDev и глубинные интервью с HRD, руководителями функций и другими пользователями продукта.
— Выявлять реальные Jobs-to-be-Done, боли и барьеры к покупке.
— Анализировать обратную связь клиентов и превращать ее в продуктовые и маркетинговые гипотезы.
— Следить за изменениями HR-рынка и понимать, как они влияют на спрос на Talent Management решения.
— Совместно с контент-командой создавать контент, который помогает продавать продукт: кейсы, исследования, статьи, вебинары, лендинги, презентации.
— Формировать продуктовые месседжи для разных каналов и аудиторий.
— Работать с командой производства/маркетинга/продаж над привлечением качественного спроса.
— Измерять эффективность маркетинга и связывать активности с бизнес-результатами.
Требования:
— Опыт продуктового маркетинга в HR-tech продуктах от 3 лет.
— Опыт работы с B2B-продуктами и длинным циклом продаж.
— Умение самостоятельно проводить конкурентный анализ, CustDev и исследования рынка.
— Опыт создания позиционирования, value proposition и go-to-market стратегии.
— Data-driven подход.
— Умение превращать сложный технологический продукт в простое и убедительное предложение для клиента.
— Будет большим преимуществом: опыт с Talent Management / Performance Management / Learning & Development / HR Analytics продуктами.
— Опыт вывода HR-tech продукта или нового модуля на рынок.
— Понимание российской специфики корпоративного HR.
— Опыт работы с HRD / C&B / L&D / Talent Management руководителями.
— Понимание HR изнутри рынка, умение ставить гипотезы и проверять их, коммуникация с клиентами и продавцами, умение обсуждать продукт с Product Manager и HRD, работа в условиях неопределенности, самостоятельность, ориентация на выручку, pipeline, adoption и product-market fit.
Условия:
— Официальное оформление и стабильный прозрачный доход.
— Формат работы: офис или гибрид (территориально м.Алексеевская/Марьина Роща).
— Все льготы и преимущества работы в аккредитованной ИТ-компании.
— Обучение: корпоративный университет, электронная библиотека, вебинары с экспертами, центр карьерного консультирования.
— Сообщества: школа спикеров, дебат клуб, писатели Хабр, киберспорт.
— Спорт: футбольный, волейбольный и баскетбольный клубы, частичная компенсация затрат на спорт.
— Здоровье: ДМС, включая стоматологию и страхование родственников, врач в офисе, сервис «Понимаю» (психологические и юридические консультации).
— Партнерские программы и скидки для сотрудников: магазины-партнеры, фитнес-клубы, образовательные платформы, досуговые мероприятия.
— Собственный комфортный офис с местом для работы, спорта и отдыха: спортзал, салон красоты, летний коворкинг на крыше.
— Питание: столовая, оборудованные кухни, кофейный киоск, вендинговые аппараты здоровой еды.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the Security team
The Security team at WorkOS is responsible for keeping the data and identities of hundreds of millions of users secure. Security is fundamental to our products, and customer trust is the foundation of our success.
We are a highly collaborative group with a strong engineering mindset. Our security program is shaped by hands-on experience attacking and defending systems, and applying lessons from across the industry. We embrace the latest advancements in practices and tooling that make modern security teams effective.
We are comfortable in code and collaborate often with engineering to create products that are secure by default.
Who we’re looking for
- Risk-focused and pragmatic. You excel at identifying and reasoning about security risk in real-world contexts. You prioritize ruthlessly, always asking: what's the most effective way to reduce risk right now and in the long term?
- A builder who can break things. You're comfortable reading and writing code, and you have a passion for deeply understanding the products you secure. You think like an attacker to find subtle, high impact vulnerabilities and like a defender to design pragmatic, effective mitigations.
- A strong partner to engineering. You build trust with engineers by understanding their priorities, making security frictionless, and finding ways to make the secure path, the easiest path.
- Excited about AI. You're embracing AI and automation to scale security and reduce toil.
- Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you.
Responsibilities
- Lead secure design efforts. Partner with engineering teams on secure design and code reviews. Identify and prioritize risks early in the product lifecycle.
- Build secure by default systems. Develop paved paths that systemically reduce risk and make secure development the easiest path for engineers.
- Perform offensive security testing. Conduct penetration tests and code audits on new and existing products from an adversarial lens.
- Improve our security tooling. Integrate and improve our static analysis, supply chain security, and vulnerability management capabilities across engineering pipelines.
- Operate our responsible disclosure program. Run and improve our program by furthering automation, validating submissions, and coordinating remediation.
- Improve our products. Write and ship code to remediate vulnerabilities in production systems and improve the security posture of WorkOS products.
- Work directly with customers. Help build our customers' trust by directly engaging with their security-related questions and concerns.
Qualifications
- 5+ years of experience in a security engineering or security-focused software engineering role.
- Ability to execute across a wide range of security functions such as security assessments, penetration testing, responsible disclosure, security tooling integration, etc.
- Familiarity with and experience using common industry tooling.
- Proven ability to identify vulnerabilities in software, demonstrated through CVEs, bug bounty, blog posts, or prior work experience.
- Strong written and verbal communication skills, particularly in partnering with engineering teams.
- Comfortable reading and writing code, and able to effectively leverage AI during the process.
- Bonus: Experience in the authentication and identity domain.
- Bonus: Experience writing production level code, especially developing security features.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Niger
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The Directorate of Maternal, Child, Adolescent and Youth Health (DSM/E/A/J) is responsible for implementing public health policies related to maternal and child health. Its core mandate is to reduce maternal, neonatal, infant morbidity and mortality. Infant and neonatal mortality remain a constant concern in the country despite ongoing efforts by the government and its partners. Continuous availability of medicines and inputs for maternal, neonatal, and child health is a fundamental pillar for reducing maternal, neonatal, and infant morbidity and mortality.
In recent years, the national supply chain management system has undergone significant evolution characterized by:
The progressive strengthening of quantification and supply planning mechanisms
The increasing use of logistics data generated from DHIS2
The progressive reinforcement of the Quantification Analytics Tool (QAT) as the national reference tool for forecasts and supply planning
A growing need for advanced analysis of logistics data to improve continuous availability of inputs.
Given the complex logistics challenges, DSM/E/A/J requires support from a dedicated technical specialist to lead, optimize, and secure all processes within its supply chain. Accordingly, these Terms of Reference have been developed to recruit a high-level technical assistant who will support DSM/E/A/J in the effective use of the QAT tool and in strengthening mechanisms for planning, storage, distribution, and the continuous coordination of the system.
The Advisor will support the e-Maternal, Child, Adolescent and Youth Health Directorate in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives.
Responsibilities
Provide technical support to DSM/E/A/J in the overall management, operational monitoring, and strategic optimization of the supply chain for maternal and child health medicines and health products—from needs planning to last-mile delivery.
Quantification and Review:
Provide technical support for annual quantification exercises for maternal and child health products using the QAT tool and lead periodic revisions based on actual consumption data and available stocks.
Order Management and Follow-Up:
Coordinate with partners on order management and ensure rigorous monitoring of delivery timelines to prevent stockouts
Strengthen strategic use of logistics data for decision-making
Support the institutionalization of QAT as the national reference tool for forecasting and supply planning
Develop mechanisms for validation, triangulation, and quality control of logistics data
Support performance monitoring of warehousing and distribution carried out by ONPPC
Develop dashboards and supply chain performance indicators
Develop SOPs, guidelines, and standardized tools
Support the formalization of processes
Organize capacity-building sessions
Contribute to the progressive autonomy of national teams
Document achievements and institutionalized mechanisms.
Expected Results
Through this support, DSM/E/A/J aims to achieve:
Sustainable improvement in the quality of logistics data
Better capacity to anticipate stockouts
Institutionalization of QAT as the single source for logistics data management and quantification
Development of a data-driven management culture
Strengthened supply chain performance monitoring
Improved visibility of logistics risks
Progressive strengthening of national technical autonomy.
REPORTING
:
The Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced university degree in logistics, health commodities supply chain management, pharmacy, or related field
Minimum of 5 years of experience in public health supply chain
Confirmed experience in quantification and supply planning
Proven experience using QAT or similar forecasting and supply planning tools
Experience in analysis and use of logistics data
Experience with DHIS2, eSIGL, or other logistics information systems
Proven experience in developing analytical tools, dashboards, and performance monitoring mechanisms
Experience collaborating with partners and projects funded by the U.S. Government strongly desired
Experience in U.S. Government-funded projects is a major asset
Experience in pharmaceutical waste management desired.
Strong preference for logisticians with experience or training in health product management
Master’s degree in supply chain management, health logistics, health systems, or related fields highly desired
Specialized training in health products supply chain management or public health is a major asset
Additional training in data analysis, health information systems, or digital health is strongly desired.
Excellent mastery of logistics management systems
Strong analytical capacity
Good command of data visualization and analysis tools
Excellent understanding of quantification mechanisms
Good understanding of early warning systems
Ability to develop SOPs, standardized tools, and institutional mechanisms
Good understanding of issues related to pharmaceutical input management.
Ability to work in a matrix reporting environment
Strong institutional collaboration skills
High sense of ethics and confidentiality
Ability to work in a support role rather than substitution
Capacity to transfer skills and support national teams.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Atlanta, GA (Hybrid)
The Position
CallRail is looking for a
Senior Product Manager
to own one of our most important integration domains — either our
ad platform integrations
(Google Ads, Microsoft Advertising, Meta) or our
CRM integrations
(Salesforce, HubSpot, and the vertical systems our customers run their businesses on).
These integrations are where CallRail's data becomes real value for customers: closing the loop between a phone call and the ad that drove it, or pushing conversation intelligence into the system a sales team actually works in. You'll
lead the strategy for your domain
and own that surface end to end, and
partner with the other integrations PM on the shared patterns
— data sync, authentication, webhooks, and third-party APIs — so the portfolio stays coherent.
Your integrations are also the foundation other teams build on — including
Voice Assist
, where what our AI agents can do for a customer depends directly on what your integrations can read and write.
We're looking for someone who is genuinely
AI-fluent
— both in how they work and in what they build. The integration landscape is changing fast: platforms are exposing agent-accessible interfaces, customers expect setup and mapping to be intelligent rather than manual, and the PMs who move fastest are the ones using AI as a daily tool rather than a talking point. You don't need to be an ML engineer. You do need to reach for AI first and have opinions about where it helps and where it doesn't.
This role suits a self-motivated PM who thrives at both setting product direction and rolling up their sleeves to deliver results with engineering.
What You'll Do
Own your integration domain
Define and own some of our largest core integrations, aligning them with business goals, customer needs, and strategic partnerships.
Take the integrations customers already depend on past MVP — fill functional gaps, expand data coverage, and make them genuinely good rather than merely connected.
Own how customers experience your domain: how they discover, connect, configure, and troubleshoot the integrations you're responsible for.
Lead discovery with customers, partners, and internal teams to validate problems before scoping solutions.
Lead the strategy
Lead the product strategy for your integration domain — synthesizing input from Partnerships, business strategy, and customer signal into a clear point of view, and driving alignment on it across the org.
Partner with the other integrations PM on the shared design patterns every integration inherits — data sync, authentication, webhooks, and third-party APIs — and make sure the next integration is cheaper to build than the last.
Stay current with partner platform roadmaps and the shifting privacy and measurement landscape, and bring a point of view on what it means for our customers.
Bring AI into the product
Identify where AI meaningfully improves the integration experience — intelligent field mapping, automated setup and diagnostics, enriched data pushed into partner systems, self-healing syncs — and build the case for what's worth investing in.
Shape how CallRail's integration data is consumed by AI agents and assistants, as customers increasingly expect their systems to be queryable and actionable by AI rather than only by humans.
Know the difference between an AI feature that holds up in production and one that demos well, and be willing to say so.
Prioritize and measure
Monitor success metrics, product health, and user feedback, and use them to continuously refine your domain.
Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks.
Keep the unglamorous half of integration work — bugs, migrations, reliability — visible and scheduled rather than invisible and endless.
Cross-functional
Partner with other product teams whose features depend on your integrations — most often
Voice Assist
, where the quality of a CRM or scheduling integration directly determines what our AI agents can actually do for a customer. Treat your domain as a platform other teams build on, and sequence your roadmap accordingly.
Work closely with
Product Design
on the integration experience — setup and authentication flows, field mapping, error and reconnection states — where most of the design difficulty is in making genuinely complex configuration feel simple.
Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front.
Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption of new integrations.
Close the loop with Support — turn ticket patterns into prioritized work, and give them answers and workarounds in the meantime.
Represent the integrations domain in planning cycles, executive updates, and cross-functional initiatives.
What You'll Need
5+ years of product management experience
, with 2+ years focused on integrations, partner ecosystems, or platform-oriented work.
Demonstrated AI fluency in your day-to-day practice.
You use AI tools to accelerate research synthesis, competitive analysis, spec drafting, data exploration, and prototyping — and you can speak specifically about what you've changed in how you work, not just which tools you've tried.
A track record of shipping B2B SaaS integrations end to end—CRMs, ad platforms, marketing automation, analytics, or communication tools.
Martech experience is preferred.
Strong technical fluency.
You read API documentation comfortably, reason about data models and auth flows, and scope edge cases with engineers without needing a translator. Deep API design experience isn't required, but you need to know this territory well enough to make good calls about rate limits, sync behavior, and failure modes.
Proven ability to manage complex product surfaces across partner APIs, webhooks, OAuth, and data syncing.
Experience building product surfaces that
other product teams depend on
— negotiating roadmaps with peer PMs, making commitments you can keep, and saying no in a way that keeps the relationship intact.
Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives.
Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice.
Experience in Agile teams working closely with engineers and designers. We flex to optimize how the team works best together.
Excellent written and verbal communication skills. Integration decisions live or die by how well they're documented.
Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma.
Nice to Have
Hands-on experience with
ad platform measurement
— offline conversion imports, value-based bidding, consent and privacy changes, and how signal loss affects attribution.
Hands-on experience with
CRM data models and lifecycle
— lead and contact objects, custom fields, activity logging, and the realities of syncing into a customer's existing workflow.
Experience shipping an AI-powered feature to production and owning its quality, cost, and evaluation over time.
Experience with MCP, agent frameworks, or designing APIs intended for AI consumption.
Experience in marketing tech, communications tools, or call tracking ecosystems.
Background working with public APIs and/or developer experience tools.
Working With AI at CallRail
AI is core to how our product team operates, and we expect it to be core to how you operate. We use
Claude
across discovery, spec writing, data analysis, prototyping, and internal tooling, and we're actively building AI capabilities into the product itself. In this role you will:
Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring integration data, and building throwaway scripts and prototypes to answer questions faster than a meeting could.
Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster.
Think about CallRail's platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you'll help shape our point of view there.
Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps.
We're looking for evidence that you've already changed how you work because of these tools — not just enthusiasm about them.
If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.
Additional Perks
Healthcare (one option covered at 100% for employees), Dental & Vision Coverage
Competitive HSA with company matching
Paid parental leave
Flexible vacation policy
401K options with company dollar-for-dollar match
Employee stock options available from day one
$2,000 annual educational allowance
Catered lunch every Tuesday * an in-office perk
MARTA transportation or office parking expenses covered
Employee charitable donation company match, up to $500 annually
Regular company outings and events
Hybrid work options with $500 office stipend to set up your home office
Designated bike storage
Learn more:
https://www.callrail.com/about/
You Are Welcome Here
CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.
*** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays.
Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.
Location: EMEA; European Union
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Kimchi is building products at the frontier of how engineering organizations adopt and operate AI — across AI coding and agents, inference, model orchestration, governance, and the infrastructure that makes all of it work reliably at scale.
This is a highly dynamic space. Customer expectations, technology capabilities, competitors, and even the problems worth solving are changing quickly.
That means we’re looking for a Senior Product Manager who is exceptionally good at working before the problem is well defined.
You won’t inherit a neat backlog of customer requirements and execute against it. You’ll be expected to explore emerging problem spaces, talk to customers, understand technology shifts, connect weak signals, form hypotheses, and decide which problems are important enough for Kimchi to solve.
A large part of the job is turning ambiguity into clarity while operating in a dynamic greenfield environment.
You’ll work closely with engineering, design, customers, and
GTM
to take promising opportunities from an initial insight through validation, 0→1 product development, adoption, and iteration.
What we're looking for:
Significant experience owning software products end-to-end, with the judgment and independence expected from a Senior Product Manager.
Strong 0→1 experience. You have personally taken products or significant product areas from an unclear opportunity through discovery, validation, launch, and iteration.
A track record of navigating ambiguity. You can give examples where neither the problem nor the solution was obvious at the beginning and explain how you created clarity.
Excellent problem selection and product judgment. You don’t just solve problems well; you are deliberate about deciding which problems are worth solving in the first place.
Experience working in greenfield, rapidly changing, or emerging domains where information is incomplete and plans frequently need to change.
Strong customer discovery skills. You can go beyond what customers ask for and uncover the underlying problem, context, and behavior.
Strong analytical thinking. You are comfortable combining qualitative evidence, product data, market signals, and technical constraints to make decisions.
Strong written and verbal communication. You can simplify complex topics without oversimplifying the underlying problem.
Experience working closely with highly technical engineering teams and enough technical curiosity to understand the systems you are building.
A bias toward experimentation and learning rather than large upfront plans.
Comfort making decisions with imperfect information and changing your mind when new evidence emerges.
Hands-on use of modern AI tools in your own work. You should be actively exploring how LLMs and agents change both the products we build and the way product work itself gets done.
What would make you stand out:
You don’t need to check every box, but we’d be especially interested if you have experience with one or more of:
Developer tools or products built for software engineers
AI/ML products, LLM infrastructure, AI agents, or AI-powered developer tools
Infrastructure, platforms, APIs, or technically complex B2B products
Products where the primary challenge was discovering product-market fit rather than optimizing an established product
Early-stage startups or new product initiatives inside larger companies
Enterprise products where you have had direct access to customers during discovery and product development
Responsibilities:
Identify problems worth solving.
Explore customer needs, usage data, technology shifts, competitive products, and market signals to determine where Kimchi should invest.
Turn ambiguity into product direction.
Take broad or poorly understood opportunities and structure them into clear problems, hypotheses, assumptions, and experiments.
Lead 0→1 product development.
Move from an insight or hypothesis to a real product that customers can use, learn from, and ultimately depend on.
Validate before scaling.
Find the fastest way to test whether a problem matters and whether our proposed solution creates meaningful value. Be equally comfortable investing further or killing an idea when the evidence says we should.
Make hard prioritization decisions.
There will always be more interesting opportunities than we can pursue. You’ll decide what deserves attention now, what can wait, and what we should deliberately not build.
Work directly with customers.
Run discovery, observe workflows, understand underlying motivations and constraints, and distinguish individual requests from broader problems.
Partner deeply with engineering and design.
Shape solutions collaboratively. Understand enough of the technology to explore possibilities and trade-offs with strong technical teams.
Define what success means.
Establish the customer and business outcomes we expect, determine how to measure them, and use evidence to guide subsequent decisions.
Drive adoption, not just launches.
Stay accountable after something ships. Understand whether customers are discovering it, using it repeatedly, getting value from it, and why.
Communicate clearly.
Write concise product narratives, one-pagers, PRDs, and decision documents that make complex problems understandable and align teams around what matters and why. We are a distributed team, so exceptional writing skills are essential for every member.
Help shape Kimchi itself.
This is still a rapidly evolving product and organization. You’ll influence not only individual features, but how we think about the product, our customers, and the market.
What’s in it for you?
Competitive salary
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
В быстро развивающейся финтех-команде, работающей над цифровой платформой и мобильным приложением для денежных переводов и BNPL-сервисов, открыта вакансия Product Manager. Основная задача — управление развитием мобильного направления продукта, который находится в стадии активного роста. Кандидат должен будет заниматься планированием и реализацией стратегии развития мобильного приложения, координацией работы команды и улучшением пользовательского опыта.
География найма не уточнена
География найма не уточнена
ГибридМосква
УдалённоRemote - Bengaluru, India
УдалённоUnited States; Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work
San Francisco
San Francisco
New York, NY, United States
Utah | Hybrid
УдалённоseniorRemote US
ГибридМосква
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
География найма не уточнена
seniorAtlanta, GA (Hybrid)
You’ll influence not only individual features, but how we think about the product, our customers, and the market; EMEA