Location: England; Portugal; Spain; Italy; Germany
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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Docker is seeking a results-oriented Business Development Representative. The ideal candidate will be a self-starter with a proven track record of success in qualifying leads for commercial and enterprise-level accounts.
RESPONSIBILITIES:
- Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses
- Identify the needs and challenges of the prospective customer
- Determine the prospect's interest in Docker
- Schedule discovery meetings for sales representatives and prospects
- Achieve a target number of qualified prospects and new opportunities
- Respond to and qualify incoming inquiries regarding interest in Docker products
- Craft a great first impression to our prospects and customers by adding value during every customer touchpoint
- Partner with cross-functional teams to share customer feedback
- Engage in team development and mentoring
QUALIFICATIONS:
- Proficiency in English and Spanish is required for this role
- 1+ years of work experience in a Sales role
- A demonstrated track record of success
- Proactive and driven
- Excellent phone, writing, and listening skills
- A propensity and willingness to gain a strong understanding of the industry and basic use cases/value propositions that our product offers
- High integrity and a team-first mentality
- Detail-oriented and strong work ethic
- 4-year college degree or equivalent experience preferred
WHAT TO EXPECT
FIRST 30 DAYS
- You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program
- You will learn how to navigate through award-winning sales tools such as; Salesforce, ZoomInfo, Common Room, Outreach, Sales Navigator, and Docker
- You will begin core SDR functions; prospecting, lead qualification, appointment setting go, warm handoffs, Salesforce hygiene, and pipeline management.
- You will work closely with your manager, shadow your peers, and partner with your Account Executive to develop prospecting strategies and campaigns unique to your territory
- At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role
FIRST 60 DAYS
- During your second month, you will be laser-focused on company research and identify target accounts and prospecting strategies in your territory
- Build prospecting lists for target accounts and key decision-makers and then reach out to them using all communication channels (cold calls, email, chat, and social media)
- You will comprehend and maintain in-depth knowledge of Docker’s products and have a great pitch
- Adhere to team KPI metrics and prospecting standards
- You will have an advanced understanding of tools, activities, and best practices to be successful in the BDR role
FIRST 90 DAYS
- In month three, you will be confident in your craft and ready to immerse yourself in your day job fully
- You will continue efforts to improve messaging, processes, and daily activities
- You will be an accomplished lead qualifier and an expert with tools and processes
- You will be ready to operate independently at full speed
Docker does not offer visa sponsorship for this role.
Compensation & Equity
EU: €58.1K – €83K OTE + equity
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia
Coding agents are only as good as the context they're given. Most explore a repository like a new hire on day one – grepping, opening files, guessing. JetBrains Context replaces that with actual knowledge of your whole codebase and resources, served to any agent that asks. If you want to own the layer that decides what an agent knows before it writes a single line, this is for you.
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
As agents get better at searching for themselves, what is the durable value of a managed retrieval layer? We need someone with an opinionated answer to own JetBrains Context as a product – defining what it is for, who it is for, how we measure success, and where it goes next.
This is a hands-on role where you'll manage the product from a terminal and agent session rather than slides. You'll bridge the technical core and cross-functional teams: collaborating closely with engineering and ML teams on indexing pipelines and retrieval quality, working with Air, IDE, and Junie teams on integrations, and partnering with marketing, developer advocacy, sales, and customer success on positioning and adoption. You'll take full ownership of defining problem statements, setting explicit trade-offs, and balancing cost, latency, and freshness across the platform.
Day to day, you will:
Build and maintain a deep working understanding of chunking, embeddings, index freshness, retrieval, reranking, and agent-facing surfaces.
Define and defend an opinionated vision for the product's evolution, including explicit target audiences, use cases, and key success metrics.
Translate product strategy into actionable problem statements, priorities, plans, and milestones with an explicit definition of “done”.
Communicate product direction clearly to engineering, leadership, cross-functional stakeholders, customers, and prospects.
Analyze competing context and code-search products through direct use to establish clear differentiators and identify gaps.
Define core operational and product metrics – index freshness, retrieval quality, agent task outcomes, adoption, retention, and unit economics – to guide decision-making.
Represent the product externally by sharing roadmaps, publishing updates, speaking to developer audiences, and gathering community feedback.
Partner with ML teams on model evaluation and platform teams on service scale, reliability, and cost.
What you’ll bring
A well-argued point of view on where AI-first development is going and what agents genuinely need from a context layer.
Comfort with technical depth across embeddings, retrieval quality, sub-agents, tool-calling, indexing costs, and API design.
The habit of using the product you build daily alongside competitors' tools.
Communication that adapts to different audiences, from staff engineers and enterprise architects to conference attendees.
A data-informed approach that combines telemetry, evaluation results, customer conversations, and market signals.
Comfort with ambiguity and a preference for defining a new category over copying an existing one.
What you’ll need
Proven experience owning a complex developer, platform, or infrastructure product end to end, including strategy and roadmap.
Hands-on familiarity with modern AI coding tools and agent workflows.
The technical capability to work directly with engineering on retrieval behavior, APIs, data models, and integration surfaces.
The ability to define metrics for quality-sensitive products and build evaluation habits that maintain product standards.
Experience communicating a product externally through written content, talks, or community engagement.
Practical experience with search, retrieval, RAG, developer search, or static analysis at scale is a plus.
What success looks like
Within your first months, you'll form and share a clear thesis for what JetBrains Context is and is not – one the engineering team recognizes as theirs and leadership can invest in. You'll establish a metrics story that distinguishes real retrieval quality from vanity usage, a roadmap with clear trade-offs, and a documented evaluation of serious competitors.
Longer term, success means JetBrains Context becomes a deliberate choice for developers and organizations, agents get measurably better answers because it exists, enterprises adopt it for its governance and scale, and the market clearly understands its unique value because you've communicated it effectively.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-HYBRID
#LI-AA1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Задачи:
— Развитие платформы: работать над функционалом, стабильностью и производительностью.
— Развивать AI-функционал: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики.
— Разбираться со сложными production-инцидентами и устранять не только последствия, но и причины проблем.
— Клиентские внедрения: превращать пожелания клиента в дорожную карту запуска.
— Проектировать архитектуру интеграции Sance.AI с инфраструктурой клиента.
— Отвечать за техническую часть сложных клиентских запусков — от discovery до production.
— Команда и инженерные практики: менторить junior/middle-разработчиков, помогать с декомпозицией задач, архитектурой и сложными техническими вопросами.
— Проводить code review и повышать качество решений команды.
Требования:
— От 4 лет коммерческого опыта в разработке, от 1 года опыта в продуктовой команде.
— Уверенные знания в asyncio, очередях, кешировании, конкурентности.
— Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT.
— Опыт с OpenAI API или другими LLM API.
— Знания prompt engineering, tool calling, RAG, caching и context management.
— Опыт с embeddings, vector search и agentic workflows.
— Опыт тестирования и evals.
— Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries и observability.
— Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами.
— Умение разбираться в документации.
— Опыт интеграций с CRM — особенно amoCRM и/или Bitrix24.
— Умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти.
— Будет плюсом опыт B2B/Enterprise-внедрений, highload и event-driven систем.
— Собственные AI-проекты и опыт работы в стартапах.
Условия:
— Работа в быстрорастущем AI-стартапе, влияние на продукт, архитектуру и процессы.
— Разнообразные задачи, крупные клиенты и короткий путь от идеи до production.
— Быстрый карьерный рост.
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О компании NJ Solar Systems развивает B2B-направление коммерческой кровли и солнечной энергетики в США.
Задачи:
— Совершать холодные B2B-звонки по отобранным компаниям в США.
— Проходить gatekeeper и выходить на Owner / President / CFO / COO / Facilities Manager.
— Кратко и понятно объяснять ценность разговора без давления и неподтверждённых обещаний.
— Выявлять состояние кровли, протечки, сроки, интерес к solar, уровень коммунальных расходов и готовность к следующему шагу.
— Назначать квалифицированные встречи или инспекции и подтверждать договорённость.
— Фиксировать disposition, заметки, follow-up и next action в CRM.
— Работать по заданной cadence и возвращаться к перспективным контактам.
Требования:
— Разговорный английский B2–C2.
— Опыт cold calling, appointment setting, lead qualification или продаж; опыт с американскими клиентами — преимущество.
— Умение спокойно работать с отказами, секретарями и возражением “just send an email”.
— Дисциплина в CRM и ответственность за следующий шаг.
— Стабильный интернет, компьютер, качественная гарнитура и резервный канал связи.
— Готовность работать в согласованную смену, пересекающуюся с рабочим временем US Eastern Time.
— Готовность к записи рабочих звонков для QA и обучающей обратной связи.
Как измеряется результат:
— Количество попыток дозвона и стабильность выполнения плана.
— Connect rate и доля выходов на правильного ЛПР.
— Количество содержательных разговоров.
— Квалифицированные встречи на 100 звонков и show rate.
— Точность CRM-данных, disposition и следующего действия.
Условия:
— Удалённая работа в B2B-продукте на рынке США.
— Скрипты, карту возражений, обучение и разбор звонков.
— Оплачиваемый тестовый период перед финальным решением.
— Компенсация из фиксированной части и бонусов за измеримый результат; точные условия согласуются до тестового периода.
— Рост ответственности: звонки и квалификация → gatekeeper / ЛПР / appointment → follow-up и CRM → полный цикл.
Этапы отбора:
— Анкета и голосовая запись на английском.
— Короткое screening-интервью.
— Практический role-play: gatekeeper, ЛПР и возражение.
— Оплачиваемый тестовый период с прозрачными KPI.
— Финальное решение по качеству разговоров, дисциплине и результату.
About the role:
This is a 6-month contract position where you will own the day-to-day management of Travel & Expense (T&E) processes, working closely with the AP team. Responsibilities include coding, reconciling, and chasing exceptions to keep the T&E engine running smoothly.
What you’ll do:
— Own Ramp expense management end-to-end: review, code, and approve expense reports, chase missing receipts, and enforce policy compliance.
— Administer Navan travel: reconcile bookings and spend, flag policy exceptions, and support employees through out-of-policy approvals.
— Review AP bills for accuracy, coding, and approval routing, catching duplicate invoices and mismatched amounts before payment.
— Reconcile Ramp and Navan activity against the General Ledger and drive the exception queue to zero before every close.
— Serve as the responsive point of contact for vendors, confirming payment details, tracking status, and resolving disputes.
— Identify recurring T&E issues and propose and document process improvements.
What we're looking for:
— 3+ years of AP & T&E experience, ideally in SaaS or a high-growth environment.
— Hands-on experience with Ramp and/or Navan (or comparable tools like Concur, Expensify, TravelPerk).
— Sharp eye for detail and strong understanding of expense policy enforcement.
— Excellent written and verbal communication skills.
— Ability to manage a recurring, deadline-driven workload.
— Experience with NetSuite or a comparable ERP is a plus.
Compensation & Benefits:
— Contracted engagement at $45–60/hr USD depending on experience, for an estimated 6-month term.
Our Process:
— 30-minute video call with a Recruiter.
— 45-minute video call with the Hiring Manager.
— 45-minute cross-functional screen with a member of the AP team.
— Final candidates will complete background check and employment verifications.
Customer.io is committed to inclusion and equity, using bias-free hiring practices and building an inclusive team culture.
Задачи:
— Разрабатывать AI-агентов на Python
— Интегрировать модели и внешние API
— Работать с RAG и Tool Calling
— Упаковывать решения в Docker
— Разворачивать через Helm в Kubernetes
— Работать с ArgoCD и анализировать логи
— Исправлять ошибки и самостоятельно обновлять production-деплои
— Работать с SCA-сканерами и зависимостями
Требования:
— 3–6 лет опыта, Middle / Senior
— Python + LangChain / LlamaIndex / Semantic Kernel или аналоги
— Docker, Kubernetes, Helm
— Bash, debugging, анализ логов
— Понимание AI Agents, RAG, Tool Calling
— Глубокое понимание Python-зависимостей (pip, poetry, virtualenv)
— Высокая самостоятельность: от кода до запуска в production
Условия:
— Формат работы: Remote
— Занятость: Full-time
— Зарплата: до 260 000 ₽ на руки
— Оформление: ИП / СМЗ
— Локация: РФ, гражданство РФ
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it.
You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.
WHAT YOU'LL DO
- Own detection and response end to end: what we log, what we alert on, how we triage and how we recover
- Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume
- Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read
- Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit
- Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls
- Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one
- Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find
- Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team
- Participate in an on-call rotation for security incidents
WHAT YOU'LL NEED
- Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward
- Experience building and tuning detections in a modern SIEM, ideally managed as code
- Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs
- Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools
- Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity
- Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job
- Judgment about what to alert on, what to automate and when to wake someone up
EVEN BETTER IF YOU HAVE
- Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets
- Experience building detections or guardrails for AI agents, LLM tooling or MCP servers
- Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody
- Published open source detection content
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Задачи:
— трансляция бизнес-потребностей в технические требования к функционалу и логике AI-агентов
— проектирование интеграций: описание взаимодействия агентов с внешними API (входы/выходы, форматы данных, обработка ошибок, таймауты, retry-логика)
— проектирование меж-агентского взаимодействия: оркестрация агентов, передача контекста, приоритизация запросов и сценарии эскалации
— сопровождение до ПРОМ: совместно с промпт-разработчиками доводите требования до готовых промтов, контролируете соответствие промтов исходным бизнес-требованиям и передача системных требований в команду сопровождения
— взаимодействие с заказчиками, менеджментом и командой разработки, обеспечение прозрачности процесса
— исследование рынка и проверка гипотез: быстрая оценка применимости AI-решений под задачу, сравнение подходов (LLM, RAG, инструменты, мультиагентность), подготовка обоснованных рекомендаций
Требования:
— уверенный технический бэкграунд: понимание архитектуры веб-систем, REST API, gRPC, форматов данных (JSON, OpenAPI/Swagger, Protobuf), интеграционных паттернов (sync/async, webhooks, очереди)
— понимание AI-концепций на уровне теории либо применения: как работают LLM, промпт-инжиниринг, ограничения и «галлюцинации»; RAG (retrieval-augmented generation), векторные БД; архитектура AI-агентов: инструменты (tools/function calling), оркестрация, мультиагентные сценарии; знакомство с LangGraph/LangChain или аналогичными фреймворками
— понимание, что такое harness (core-платформа для GenAI-агентов) и его составляющих
— умение проектировать логику агентов: сценарии, состояния, ветвления, обработка ошибок, fallback-сценарии
— навыки декомпозиции задач и написания точных, проверяемых технических требований (User Story + критерии приёмки, или спецификации)
— опыт взаимодействия с бизнесом и перевода требований в технические спецификации
— опыт работы с PostgreSQL/SQL (чтение схем, описание маппинга данных)
— умение быстро проверять гипотезы: исследовать рынок AI-решений, оценивать применимость технологии под задачу
Будет плюсом:
— понимание Java/React-стека на уровне общения с командой (что реально, а что нет в существующей архитектуре)
— опыт в продуктовых командах, где аналитик сопровождает фичу от идеи до релиза
— опыт написания технических заданий для промпт-разработчиков
— базовые навыки прототипирования (Python/псевдокод/конфигурация) для быстрой проверки гипотез
Условия:
— комфортный современный офис
— корпоративный спортзал и зоны отдыха
— уникальная система обучения Сбера для профессионального и карьерного развития
— программа адаптации и помощь руководителя на старте
— расширенный ДМС и льготное страхование для семьи
— 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
— корпоративная пенсионная программа.
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.
Задачи:
— обрабатывать входящие заявки кандидатов;
— проводить телефонные консультации и интервью;
— подбирать подходящие вакансии;
— сопровождать кандидатов до трудоустройства;
— контролировать этапы оформления;
— вести работу в Bitrix24.
Требования:
— опыт работы рекрутером, HR-менеджером, специалистом по подбору персонала, менеджером по персоналу, менеджером по работе с клиентами или специалистом call-центра;
— готовы обучить кандидатов без опыта в HR, если вы уверенно общаетесь с людьми, быстро обучаетесь и ориентированы на высокий доход.
Условия:
— доход от 500 000 ₽: оклад + % + бонусы;
— выплаты каждую неделю;
— постоянный поток входящих заявок;
— обучение + наставник;
— работа в современном офисе в Москве;
— рост до руководителя группы или отдела.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Bring new frontier models into production quickly, making them available for our users and our engineers.
- Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
- Own observability for the model layer, driving down both time to detection and time to fix.
- Build new model-level capabilities and help product teams adopt them.
- Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.
SKILLS YOU'LL NEED TO BRING:
- Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
- AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
- Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production.
- Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data.
- Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
#LIHYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
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and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
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We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
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. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Spanish (LATAM) speaker to join a confidential, large-scale AI and consumer technology programe for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in Spanish (LATAM), and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model outputs inSpanish (LATAM) and evaluate them for accuracy, naturalness, appropriateness, and overall quality—would a native speaker say it this way? Fact-check each response against the provided source material.
Test the Spanish (LATAM) experience against English: confirm feature parity, complete an end-to-end user journey using non-English input, and verify that the product correctly handles non-Latin scripts, diacritics, right-to-left text, and mixed-language input.
Identify any display issues (text cut off, overflowing, or rendering poorly) and any localization errors—incorrect dates, numbers, currencies, units, or untranslated strings.
Document each issue clearly so a developer can reproduce it—include steps taken, device and OS, locale, build ID, and supporting evidence. Retest after a fix ships to confirm it’s resolved.
Provide native-level insights on navigation and usability, calling out Spanish (LATAM)-specific nuances that only a fluent speaker would notice.
Work on-site in a private, secure area of the Welocalize office; due to the confidential, pre-release nature of the work, remote or work-from-home options are not available.
Assist with other linguistic projects as needed.
JOB REQUIREMENTS
Native-level or fully bilingual proficiency in Spanish (LATAM), written and spoken, with an up-to-date sense of real-world usage across both everyday and technical contexts.
Confident using smartphones and laptops; comfortable working across both iOS and Android.
Strong attention to detail and fair, objective judgment when assessing quality.
Ability to work independently, follow detailed test scripts and guidelines, and clearly explain issues in English.
Previous experience in software/app testing, localization QA, or linguistic evaluation is a strong plus, but not required if you bring the language skills and attention to detail.
Welocalize helps the world’s leading brands reach global audiences—and language testing is at the core of that mission. You’ll work alongside experienced linguists and testers on pre-release technology, in a team that takes quality and precision seriously.
If you’re a native-level Spanish (LATAM) speaker with a keen eye for detail and an interest in how language and technology intersect, we’d like to hear from you.
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: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
The next chapter of Ramp's growth runs straight through the customers we already have: 80,000+ finance teams who adopted us for one thing and haven't yet seen what the rest of the platform can do for them. Account Management owns that opportunity - and this role owns the team building the motion to capture it.
You'll lead a group of 5-8 Account Managers, each carrying a book of ~300 Mid-Market customers with real latitude over how they grow it. This is a build role, not a maintain role: the playbooks, coaching systems, and performance bar you set are the ones this team runs on next year. Your ceiling is set by how well you turn individual AM judgment into a repeatable, scalable motion that grows the segment.
WHAT YOU’LL DO
- Build and run a high-performing team of 5-8 Account Managers - setting the bar for culture, morale, and daily execution.
- Get embedded in the relationships that matter. Engage directly with key customers and top accounts alongside your team, especially where trust is being built or repaired.
- Own the number. Manage quota performance and pipeline generation across your team to hit spend activation, product activation, retention, and expansion goals.
- Forecast and report team performance to senior leadership with clear-eyed visibility into what's working and what isn't.
- Hire and develop the next generation of AMs - training on product, buyer personas, competition, and tooling through role-plays, game film, and real deal work.
- Coach relentlessly. Run daily 1:1s, dissect call feedback, lead enablement sessions, and build career paths for every rep on your team.
- Turn what works into a system. Continuously refine team processes and tooling to improve output and efficiency as the segment scales.
- Represent Account Management cross-functionally, partnering with Sales, CX, CSM, Risk, and Product to remove blockers and drive outcomes.
WHAT YOU’LL NEED
- Minimum 3 years of quota-carrying sales or account management experience as an individual contributor, with a proven, consistent track record of exceeding goals (new business or cross-sell/upsell experience mandatory)
- Minimum 3 years building and leading account management or sales teams, with a track record of exceeding goal (new business or cross-sell/upsell experience mandatory)
- Prior success in fast-paced, results-oriented GTM environments, ideally at SaaS or AI companies
- A genuine passion for hiring, with a thoughtful approach to team planning and development
- Ability to articulate contractual, technical, and financial value to customers, including executive leaders
- Strong track record negotiating, structuring, and executing complex agreements
- Proficiency with data analytics tools (Salesforce, Looker, Excel) and a bias toward using data to drive decisions
- Strong collaboration and influencing skills, backed by excellent communication and presentation ability
- High agency and adaptability - no two days are the same, and the only constant is change
- A desire and willingness to jump headfirst into complex, challenging problems for the good of the business.
NICE-TO-HAVES
- Experience at a high-growth startup
- Bachelor’s degree from an accredited university
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
