Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams.
As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders.
As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective.
Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have.
You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams.
WHAT YOU'LL DO
Design the joint go-to-market motion with strategic partners
- Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way.
- Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership.
- Turn those into co-sell plays with clear entry points, owners, and next steps for both sides.
- Run account mapping with partner teams so the plays land on specific accounts, not just slides.
Activate partner field teams
- Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so.
- Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter.
- Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team.
- Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute.
Enable Baseten's own sellers on partner motions
- Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run.
- Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes.
- Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one.
Measure and evolve programs
- Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline.
- Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests.
- Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next.
WHAT WE'RE LOOKING FOR
- 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company.
- Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar).
- You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting.
- Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly.
- You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework.
- Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours.
Strong candidates may come from a mix of backgrounds such as:
- Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers.
- ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA.
- Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume.
- A partner-facing SA or SE who moved into enablement or GTM strategy.
NICE TO HAVE
- Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs.
- Experience at an AI infrastructure, model provider, or developer platform company.
- Built a partner function or partner enablement program from scratch at a growth-stage company.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Основные требования:
— Практический коммерческий опыт работы с Compass Payment не менее 3 лет.
— Опыт работы с TranzWare.
— Опыт разработки или улучшения платежных процессов на платформе.
— Опыт интеграции Compass Payment с внешними системами.
— Понимание архитектуры и принципов работы платежного решения.
— Понимание полного жизненного цикла платежной транзакции.
— Знание различных статусов платежей и переходов между ними.
— Понимание обработки ошибок и исключительных сценариев.
— Опыт устранения неисправностей в платежной инфраструктуре.
— Опыт анализа инцидентов в производственной среде.
— Опыт работы с API и интеграциями.
— Понимание того, как платежные платформы взаимодействуют с внешними системами.
— Способность анализировать логи и выявлять первопричины ошибок.
— Опыт участия в выпуске функциональности платежей.
— Понимание требований к надежности и точности финансовых транзакций.
— Опыт интеграции сервисов с внешними системами.
— Уровень английского языка – Pre-Intermediate+ и выше.
Желательно:
— Опыт работы над банковскими, платежными или финтех-проектами.
Задачи:
— Разработка и улучшение платежных процессов на Compass Payment.
— Внедрение изменений в существующие платежные потоки.
— Разработка интеграций между Compass Payment и внешними системами.
— Обеспечение точной передачи данных о платежах между системами.
— Работа с различными статусами и состояниями платежных транзакций.
— Внедрение обработки ошибок и исключений.
— Обеспечение правильной обработки дублирующихся запросов и других нестандартных сценариев.
— Анализ и устранение проблем в платежных процессах.
— Участие в расследовании инцидентов в производственной среде.
— Анализ журналов и технических данных для выявления первопричин инцидентов.
— Участие в тестировании и развертывании изменений.
— Сотрудничество с инженерами по качеству, аналитиками, архитекторами и другими разработчиками.
— Участие в проверках кода и технических обсуждениях предлагаемых изменений.
— Поддержка существующих платежных интеграций.
— Содействие улучшению стабильности и надежности платежных процессов.
Условия:
— Опыт работы в команде с лидерами в области финансовых технологий, здравоохранения, розничной торговли, телекома и других.
— Возможность сменить проект и/или развить экспертизу в интересной бизнес-области.
— Гарантия профессионального, финансового и карьерного роста.
— Системы наставничества и адаптации для каждого нового сотрудника.
— Возможность заработать до дополнительных 1 000 USD в месяц в зависимости от уровня экспертизы, включаемые в годовой бонус.
— Доступ к корпоративному обучающему порталу с базой знаний компании.
— Яркая корпоративная жизнь (вечеринки, дни пиццы, PlayStation, фрукты, кофе, закуски, фильмы).
— Компенсация за сертификацию (AWS, PMP и т.д.).
— Реферальная программа.
— Частная медицинская страховка и компенсация за спорт, в зависимости от типа занятости.
Задачи:
— Сбор и анализ требований для платежных процессов.
— Формализация бизнес- и системных требований.
— Определение функциональных и нефункциональных требований.
— Разработка спецификаций интеграции.
— Описание взаимодействия Compass Payment с внутренними и внешними системами.
— Разработка и поддержка спецификаций REST API.
— Определение структур JSON-запросов и ответов.
— Описание статусов платежных транзакций и переходов между состояниями.
— Формализация сценариев успешного и неуспешного обработки платежей.
— Определение требований к идемпотентности и повторной обработке транзакций.
— Использование UML/BPMN для моделирования процессов и взаимодействия систем.
— Использование SQL для анализа и проверки данных.
— Участие в анализе интеграционных проблем и инцидентов.
— Подготовка требований и критериев приемки для разработки.
— Сотрудничество с архитекторами, разработчиками и инженерами по качеству.
— Анализ существующего функционала и выявление необходимых изменений.
— Участие в приемочном тестировании реализованного функционала и проверка соответствия требованиям.
Требования:
— Практический опыт работы в качестве системного аналитика не менее 3 лет.
— Практический опыт работы с платежными системами и глубокое понимание жизненного цикла платежных транзакций, включая ключевые этапы обработки, статусы и переходы между состояниями.
— Опыт документирования бизнес- и системных требований.
— Опыт подготовки спецификаций для интеграции.
— Практический опыт работы с REST API.
— Хорошее понимание JSON.
— Практический опыт работы с SQL.
— Знание UML и BPMN.
— Понимание принципов идемпотентности.
— Понимание синхронных и асинхронных сценариев интеграции.
— Опыт сотрудничества с разработчиками, инженерами по тестированию и архитекторами.
— Опыт декомпозиции требований до уровня, достаточного для разработки и тестирования.
— Прямой практический опыт работы с Compass Payment.
— Уровень английского языка – от Intermediate и выше.
Условия:
— Опыт работы в команде с лидерами в области FinTech, здравоохранения, розничной торговли, телекома и других.
— Возможность изменить проект и/или развить экспертизу в интересной бизнес-области.
— Гарантия профессионального, финансового и карьерного роста.
— Системы наставничества и адаптации для каждого нового сотрудника.
— Возможность заработать до дополнительных 1 000 EUR в месяц в зависимости от уровня экспертизы, которые будут включены в годовой бонус, участвуя в мероприятиях компании.
— Доступ к корпоративному обучающему порталу с базой знаний компании.
— Яркая корпоративная жизнь (вечеринки, дни пиццы, PlayStation, фрукты, кофе, закуски, фильмы).
— Компенсация сертификации (AWS, PMP и т.д.).
— Реферальная программа.
— Частная медицинская страховка и компенсация за спорт, в зависимости от типа занятости.
Требования:
— Практический опыт работы в технической поддержке L2, DevOps или системной инженерии веб-систем, связанной с устранением неисправностей в производственных средах, не менее 2 лет.
— Доказанный практический опыт в области видеостриминга / OTT / медиа: устранение неисправностей в прямом эфире (RTMP ingest), файловом кодировании/транскодировании и рабочих процессах доставки.
— Практическое понимание видеостриминговых протоколов (HLS, DASH), адаптивного потокового вещания (ABR), кодеков, контейнеров и распространённых паттернов ошибок воспроизведения.
— Практический опыт диагностики браузера с использованием Chrome DevTools: проверка консоли, сетевых трасс, заголовков CORS, захвата HAR, анализ видеосегментов/манифестов и проблем с буферизацией.
— Глубокое понимание концепций REST API, HTTP-методов/заголовков/кодов состояния и практический опыт отладки API (Postman, curl).
— Отличные навыки работы с командной строкой Linux.
— Практический опыт анализа журналов службы и проверки состояния pod/service в Docker и Kubernetes (kubectl).
— Готовность к работе в нерабочее время (покрытие вызовов): с понедельника по пятницу с 00:00 до 05:30 CET, в субботу и воскресенье круглосуточно.
— Уровень английского языка – Upper-Intermediate и выше.
Задачи:
— Обеспечение L2 технической поддержки в нерабочее время для корпоративных видеопотоков и рабочих процессов кодирования.
— Управление жизненным циклом инцидентов от начала до конца: триаж, регистрация тикетов, глубокий анализ первопричин (RCA), внедрение обходных решений и разрешение проблем в рамках строгих SLA-целей.
— Устранение неисправностей в интеграциях REST API: проверка конечных точек, аутентификации/токенах, заголовках, ошибках CORS-префлайтов и полезной нагрузки; воспроизведение повторяемых вызовов через Postman/curl.
— Диагностика проблем веб-плеера (JS/TS) с использованием Chrome DevTools: проверка вкладок Console и Network, анализ буферизации, проверка наличия манифеста и сегментов (HLS, DASH).
— Проверка конвейеров потокового вещания и кодирования: проверка состояния RTMP-ввода, исправность кодировщика, транскодирование конвейеров и адаптивная доставка с переменной скоростью передачи данных.
— Чтение и анализ журналов контейнеров и сервисов через Docker и Kubernetes (kubectl logs, статусы подов/сервисов, события) в многооблачных средах (в основном GCP).
— Исследование базовых проблем с сетью, прокси и шлюзами (TLS-сертификаты, HTTP/HTTPS, конфигурации Nginx/HAProxy).
— Документирование хода инцидента и общение с клиентами в Zendesk/Jira, предоставление четких обновлений.
— Эскалация сложных проблем до L3-инженеров с хорошо структурированным контекстом: журналы, шаги воспроизведения, рабочие гипотезы и собранные артефакты в хранилище объектов (S3/GCS).
— Поддержание чистоты тикетов и соблюдение процедур передачи смен между дежурствами.
Условия:
— Работа в компании Andersen Kazakhstan Ltd.
— Гибкий график.
— Удаленная работа.
— Частичная занятость.
— Опыт работы не менее 2 лет.
— Уровень английского Upper-Intermediate и выше.
— Готовность к работе в нерабочее время (покрытие вызовов) по расписанию: с понедельника по пятницу с 00:00 до 05:30 CET, в выходные круглосуточно.
— Персональные данные защищены в соответствии с правилами GDPR.
— Возможность профессионального, финансового и карьерного роста.
— Доступ к корпоративному обучающему порталу.
— Компенсация за сертификацию (AWS, PMP и т.д.).
— Частная медицинская страховка и компенсация за спортивные мероприятия.
— Реферальная программа.
— Возможность сменить проект и развить экспертизу.
— Работа с лидерами в различных отраслях.
— Возможность дополнительного заработка до 1000 EUR в годовом бонусе.
Location: Canada
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer Experience:
The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a
Solutions Architect
specializing in
Cloud infrastructure and MLOps
. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work remotely from
Canada.
Your responsibilities will include:
Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions.
5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure
and network architectures.
5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions.
5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration,
and technical problem-solving.
It will be an added bonus if you have:
3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference.
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$235k - $300k CAD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience:
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a
Solutions Architect
specializing in
Cloud infrastructure and MLOps
. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work remotely from the
United States.
Your responsibilities will include:
Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions.
5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure
and network architectures.
5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions.
5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration,
and technical problem-solving.
It will be an added bonus if you have:
3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference.
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Key Employee Benefits:
#LI-SM2
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement:
Up to $85/month for mobile and internet.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$250,000
—
$320,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Компания Reap ищет опытного Senior Software Engineer Treasury, который будет заниматься проектированием и поддержкой надежных систем для глобальных денежных переводов, включая операции с фиатными валютами и стейблкоинами. В работе потребуется использовать технологии и инструменты, такие как MySQL, Postgres, TypeORM, NestJS, Node.js и TypeScript, а также работать с облачной инфраструктурой AWS. Кандидат должен иметь опыт построения распределенных систем, моделирования данных, разработки backend и API, а также управления транзакциями и обеспечением наблюдаемости (observability). Важным аспектом является умение быстро реагировать на инциденты и обеспечивать стабильность работы систем, связанных с движением денег.
Location: Remote, Global
About the Role
We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company.
This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week.
What You'll Be Responsible For
In this role, you'll:
- Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation.
- Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on.
- Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online.
- Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match.
- Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on.
- Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review.
- Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit.
- Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read.
You Might Be a Good Fit If You
- Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics.
- Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing).
- Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb.
- Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash.
- Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex).
- Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work.
- Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required.
- Can analyze cost data and present it clearly to both technical and non-technical audiences.
- Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context.
- Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Задачи:
— вести сбор требований с бизнес‑стейкхолдерами
— проектировать модели данных по паттернам medallion‑архитектуры (bronze/silver/gold)
— строить и оптимизировать ETL/ELT‑пайплайны с dbt
— настраивать проверки качества данных (Great Expectations)
— оптимизировать Spark‑джобы под SLA
— диагностировать проблемы в многосистемных пайплайнах
— поддерживать документацию и runbook’и
Требования:
— от 5 лет опыта в Data Engineering
— продвинутое владение Python, Spark и SQL
— опыт работы с AWS и Databricks
— знание Kafka и инструментов современного Data‑стека (dbt, Airflow или аналогов)
— понимание dimensional‑моделирования (star/snowflake‑схемы)
— понимание принципов проектирования хранилищ данных и архитектур (lambda, kappa, lakehouse)
— умение структурировать задачи для работы с ИИ‑ассистентами
— знание топологий систем
— уровень английского — Intermediate и выше.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX,
About the Role
The Americas Marketing Programs & Platforms team is seeking a Senior Events Manager to own Cloudflare's events across both the shows we sponsor and the events we host. You'll set the strategy for how Cloudflare shows up at the biggest stages in security, infrastructure, and developer technology, and you'll own complex, multifaceted Cloudflare-hosted event programs end to end: concept, content, production, and execution.
This is not a logistics-only role, and it's not one flavor of event. Because our calendar is seasonal and fast-moving, you'll move fluidly between sponsoring another organization's event (our booth, speaking sessions, sponsorships, and activations) and hosting a full event ourselves. Equally important, you'll be the connective tissue between marketing and the field: making sure the sales organization knows where we'll be, why it matters, and exactly how to turn our presence into real conversations, pipeline, and revenue. And like everyone at Cloudflare, you'll approach the work as a builder, treating AI as a partner to automate the manual, ship faster, and make every event smarter than the last.
What You'll Do
Own Event Strategy & Portfolio
Own the end-to-end strategy, planning, and execution for Cloudflare's Tier 1 event portfolio across the Americas, spanning both events we sponsor (booth, speaking, sponsorships, activations) and events we host outright.
Build and manage the annual event portfolio, prioritization framework, and budget, making deliberate trade-offs between hosted and sponsored investments, and deciding where we show up and how big we go.
Define objectives for every event (brand, demand, pipeline, or customer expansion) and align cross-functional teams around them before work begins.
Lead Hosted Events End-to-End
Own the full strategy and execution of complex, multifaceted Cloudflare-hosted event programs (conferences, summits, executive forums, workshops, and roadshows), from concept and agenda design through production, registration, run-of-show, and post-event follow-up.
Design the attendee experience across every facet: content and speaker programming, venue and floor plan, production/AV and streaming, registration and communications, and on-site operations.
Build the cross-functional team and run-of-show for each event, managing agencies, vendors, speakers, and internal stakeholders to deliver a polished, on-brand experience.
Own the hosted-event budget, timeline, and risk plan end to end, holding a high quality bar while shipping on schedule.
Drive Sponsored Presence, Experience & Thought Leadership
Lead booth strategy and experience design on the expo floor: creative concept, floor plan, demos, staffing, swag, and lead capture — creating a presence that stands out in a crowded hall.
Drive our thought leadership motion: speaker submissions, session strategy, keynote/theater content, executive briefings, and customer story placement.
Negotiate and manage sponsorships and branding opportunities, and design activations and on-site moments that break through and earn attention.
Activate the Sales Field
Build and run the field activation motion for every Tier 1 show and hosted event: pre-event briefings, target account mapping, meeting-booking playbooks, staffing plans, and post-event follow-up cadence.
Equip AEs, SDRs, SEs, and CSMs to make the most of our presence: pre-event outreach templates, at-show playbooks, demo scripts, and a meeting concierge for high-value accounts.
For hosted events, drive the right registrations and attendance against target accounts and pipeline goals, partnering with field marketing and Sales to turn invitations into engaged attendees.
Partner with Sales Operations and Marketing Operations to ensure lead capture, routing, and attribution are airtight, so every conversation is tracked and followed up.
Prove Impact, Optimize & Build
Define and report on the KPIs that matter for each event: pipeline influenced, meetings booked, leads captured, registration and attendance, brand/sentiment lift, and speaker slots earned. Then turn the numbers into a clear ROI story for leadership.
Own vendor and agency relationships, production partners, and cross-functional contributors; manage timelines, contracts, and budget to the dollar across multiple simultaneous events.
Approach the work with an AI-native, builder's mindset: build lightweight tools and automations (using OpenCode, Claude, Gemini, or similar) to streamline event operations, lead processing, enablement, and reporting, and share what you build with the team.
Run retrospectives after every major show and event and turn learnings into a better, more automated playbook for the next one.
What We're Looking For
Required Qualifications
7+ years in event marketing, experiential marketing, or field marketing, with deep experience owning both hosted and sponsored events end-to-end.
Proven track record leading complex, high-budget event programs ($1M+ annual budgets), including producing hosted events (venue, content, production, registration) and running sponsorships, booth builds, and executive programming at third-party conferences.
Strong sales-enablement instinct: demonstrated ability to activate field teams, drive pre-event pipeline, and tie events to tangible, attributable revenue.
Exceptional organizational skills and the ability to run multiple events simultaneously with competing timelines, budgets, and stakeholders, without dropping the ball.
Experience managing agencies and developing interns or junior marketers.
Agility and comfort shifting between hosted and sponsored programs as the calendar demands.
Experience working with AI tools (OpenCode, Claude, Gemini, or similar) to build solutions, automate workflows, and solve problems, not just consume outputs.
Natural curiosity about people, products, processes, and technologies, with the ability to ask insightful questions and uncover what actually drives results.
Exceptional cross-functional leadership: comfortable aligning product, sales, brand, PR, and executive stakeholders and managing up.
Sharp budget management, vendor negotiation, and agency management skills.
Data-driven mindset: comfortable working with Salesforce, marketing automation, and lead routing/attribution to prove impact.
Bias for action and willingness to experiment with new approaches, tactics, and channels.
Preferred Qualifications
Experience in B2B security, infrastructure, cloud, or developer-facing marketing.
Familiarity with events like RSA Conference, Black Hat, AWS re:Invent, Gartner summits, and similar Tier 1 shows.
Experience producing both in-person and hybrid/virtual events, including broadcast/streaming production.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE TEAM:
You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it.
We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next.
ABOUT THE ROLE:
You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale.
This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates.
You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan.
You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct.
Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph.
WHAT YOU'LL OWN:
Carry multi-quarter programs
- Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption.
- Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs.
- Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets.
Own what gets specified and what ships
- Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation.
- Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off.
- Run vendor evaluations when the right answer is buy, integrate, or replace rather than build.
Protect revenue data integrity
- Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them.
- Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions.
- Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production.
WHAT SUCCESS LOOKS LIKE:
In your first 6–12 months, you might:
- Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field.
- Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale.
- Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation.
- Establish a specification and UAT standard that engineers and AI agents can reliably build against.
- Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution.
WHAT YOU'LL NEED TO BE SUCCESSFUL:
SYSTEMS AND DOMAIN DEPTH
- Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout.
- Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene.
- Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes.
- Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code.
PROGRAM LEADERSHIP
- Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day.
- Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release.
- Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality.
- Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative.
JUDGMENT AND COMMUNICATION
- One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec.
- Maximum agency — you find the friction and start the project. You don't wait for a ticket.
- AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way.
- Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it.
STRONG SIGNALS:
None of these is a screen; any one makes you useful faster.
- You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign.
- You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved.
- You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break.
- You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation.
- You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it.
Annual salary range: $180-200k USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Задачи:
— Разработка и поддержка CI/CD пайплайнов (GitLab CI) для автоматизации сборки, тестирования и развертывания приложений.
— Автоматизация инфраструктуры через Infrastructure as Code (Terraform, Ansible).
— Развертывание и сопровождение Kubernetes-кластеров (создание Helm-чартов, настройка Ingress/Traefik).
— Настройка систем мониторинга, логирования и алертинга (Prometheus, Grafana, VictoriaMetrics).
— Обеспечение отказоустойчивости, масштабируемости и безопасности сервисов.
— Оптимизация облачной инфраструктуры и контроль затрат.
— Поддержка production-среды, участие в расследовании инцидентов.
— Взаимодействие с командами разработки для внедрения лучших DevOps-практик.
Требования:
— Опыт работы в DevOps/SRE от 3+ лет.
— Уверенное знание Linux (администрирование, настройка, диагностика) — обязателен опыт с RedOS и/или Astra.
— Практический опыт с контейнеризацией (Docker) и оркестрацией (Kubernetes: Helm, Ingress, Traefik).
— Построение CI/CD (предпочтительно GitLab CI, опыт с Jenkins/GitHub Actions — тоже плюс).
— Infrastructure as Code (Terraform, Ansible).
— Опыт работы с облачными платформами (Yandex Cloud, VK Cloud, AWS).
— Мониторинг и логирование (Prometheus, Grafana, VictoriaMetrics).
— Конфигурирование БД (SQL/NoSQL): Postgres, Redis, Tarantool, Qdrant (хотя бы одна).
— Владение скриптовыми языками (Bash, Python) для автоматизации задач.
— Понимание сетевых протоколов (TCP/IP, HTTP, DNS) и принципов работы ОС.
Будет плюсом:
— Опыт с GitOps (ArgoCD) и управлением конфигурациями.
— Работа с системами хранения секретов (HashiCorp Vault).
— Навыки DevSecOps (интеграция безопасности в CI/CD, SonarQube).
— Использование GenAI-инструментов (Copilot, ChatGPT) для ускорения рутинных задач.
— Опыт построения highload-систем и оптимизации производительности.
Мы ожидаем:
— Глубокое понимание DevOps-практик и CI/CD-подходов.
— Навыки эффективного troubleshooting (способность быстро находить и устранять проблемы).
— Опыт работы с production-системами и понимание ответственности за их стабильность.
— Умение работать в команде, делиться знаниями и принимать конструктивную критику.
— Проактивность и стремление к автоматизации всего, что можно автоматизировать.
Условия
— Официальное трудоустройство в аккредитованной IT-компании (полный соцпакет)
— Полностью удалённый формат работы (на территории РФ)
— 28 календарных дней оплачиваемого отпуска
— Корпоративные бенефиты: компенсация спортивных занятий, скидки у партнёров
— Возможность карьерного роста внутри компании: смены проектов, повышение грейда, участие во внутренних программах развития
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
- AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
- Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
_______________________________________________________________________
RESPONSIBILITIES
BUILDING AND OPERATING AI DEVELOPER TOOLS
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
SELF-SERVICE PLATFORM
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
DESIGN AND DELIVERY
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
COLLABORATION AND GROWTH
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: European Union
Workplace: Remote
🌍 Remote | UTC+8 | Core collaboration hours: 1:00–7:00 PM Manila Time
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here.
What’s special about our payment platform:
- Built for resilience: a fault-tolerant platform where payments keep flowing even when parts of the system or external partners fail
- Integrations: international partners and domestic Philippine payment rails
- Money-movement flows: cash-in, cash-out, bill payments, loan disbursement and repayment, and more
- Platform approach: one platform serving multiple internal products and teams, with shared APIs, SDKs, and reusable building blocks
- Architecture: Kotlin/Spring Boot microservices, Kafka, relational databases, and durable workflow orchestration for long-running payment processes
- Reliability by design: idempotency, retries and timeouts toward unreliable external partners, full audit trail
- Compliance: regulated environment (BSP), with security and fraud checks built into the flow
What you’ll do:
- Develop scalable microservices on the JVM with Spring Boot, as part of a team building platform solutions for our banking product.
- Design payment services with a focus on DDD, eventual consistency, and resilience to partner and infrastructure failures.
- Work with product, QA, security, and operations to release changes under agreed engineering standards.
What you’ll own:
- Own the design, build, and maintenance of software components supporting the Core Engineering team.
- Design and evolve payment flows end to end: processing, routing, status handling, refunds/reversals.
- Integrate new payment providers, banks, and partner channels, and handle their failure modes gracefully.
- Build and maintain scalable, reliable APIs and services, and contribute to internal SDKs and frameworks that let product teams launch new payment use cases quickly and safely.
- Investigate payment incidents (stuck, duplicated, or inconsistent transactions) and make the system self-healing.
- Translate functional requirements into technical solutions and maintainable implementations.
- Contribute to code and configuration reviews.
What makes you a strong fit:
- 3+ years of software development on the JVM; good knowledge of Kotlin is an advantage
- Experience with Spring Boot in a microservice environment
- Experience with domain-driven design and eventual consistency
- Experience with payments, banking, or other transactional/financial systems (payment platforms, PSP integrations, wallets, ledgers)
- Solid understanding of idempotency, distributed transactions, retries, and timeouts in money flows
- Track record in an agile setup with continuous deployment and delivery
- Experience with containerization and orchestration in a cloud environment (Docker and Kubernetes preferred, AWS preferred)
- Experience with, and enjoyment of, continuous knowledge-sharing within the team
- Nice to have: Kafka, workflow engines, ISO 20022
What we offer:
Ownership and flexibility
- Fully remote work with core collaboration hours from 1:00 to 7:00 PM Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
- AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
- Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
_______________________________________________________________________
RESPONSIBILITIES
TECHNICAL LEADERSHIP AND ARCHITECTURE
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
SYSTEMS DESIGN AND IMPLEMENTATION
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
STRATEGIC IMPACT AND INNOVATION
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
LEADERSHIP AND MENTORSHIP
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities.
What You’ll Be Doing:
Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners
Leading technical engagement with partners to drive deal progression and close opportunities
Delivering product demos, technical presentations, and hands-on enablement sessions
Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams
Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events
Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services.
Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams
Shaping and expanding the reach of Grafana Partner University across multiple partner personas
Collaborating with internal teams to provide product and competitive feedback
Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners
Run high impact workshops and 1:1 training to generate and progress pipeline
Travelling up to 50% to support cloud partner events, workshops, and field activities
What Makes You a Great Fit:
Located: United States (Remote)
6+ years in pre-sales or solution architecture, ideally within the observability space
Strong experience selling SaaS software across the NORAM region
Proven use of MEDDIC or similar qualification frameworks
Excellent communication and interpersonal skills, especially in remote, global teams
Demonstrated ability to operate in a fast-paced, ambiguous, startup environment
Strong judgement, leadership, and problem-solving abilities
Passion for education, enablement, and helping others succeed technically
Bonus Points For:
Experience with CSP’s and a strong understanding of their core infrastructure services.
Experience with cloud marketplaces, co-selling, or joint solution launches.
Solid understanding of observability and cloud native tooling
Background in OSS first companies
Experience with Grafana, Prometheus, and Loki
Hands-on experience deploying and operating Kubernetes
Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience)
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000
.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Role:
We build an advanced data platform that helps demanding enterprise and public-sector customers turn large, complex datasets into high-quality, structured data for AI. We're a small, senior team that values ownership, correctness, and strong engineering. We're hiring a full-stack engineer to help build and operate the product end to end, and to work closely with the customers who use it. You'll spend most of your time building, with regular chances to join customer conversations, help deploy the platform in their environments, and see how it's used in the field. It's a great fit for an engineer who enjoys working with customers and wants to grow into a more customer-facing role.
What You'll Do:
Build features end to end across our Rust backend and TypeScript/React frontend, from the data model and APIs to a polished, interactive web application.
Design data models, APIs, and ingestion pipelines that are fast and reliable at scale.
Help deploy, configure, and support the platform in cloud and customer environments, including AWS GovCloud, on-premises Kubernetes, and air-gapped or classified networks.
Build data connectors and integrations that bring customer data into the platform and fit it to their workflows.
Join customer conversations, demos, and occasional on-site visits to understand how the product is used, and turn that feedback into product improvements.
Contribute to architecture, code quality, performance, and security as the product grows.
What We're Looking For:
5+ years building and shipping production software.
Active Top Secret clearance with SCI eligibility (U.S. citizenship required).
Strong backend skills in a modern systems or application language (we work primarily in Rust; we're happy to help a strong engineer ramp up).
Solid SQL and PostgreSQL fundamentals — indexing, transactions, and query performance.
Proficiency with TypeScript and React and an eye for clean, responsive UIs.
Experience deploying and running services with Docker and Kubernetes.
Strong communication skills — able to explain technical work clearly to customers and non-technical stakeholders.
Ability to travel to customer sites.
Nice to Have:
Customer-facing, consulting, or solutions-engineering experience.
Experience deploying software in classified, air-gapped, or other regulated environments.
AWS/EKS (including GovCloud), infrastructure-as-code, and STIG or RMF experience.
Experience with data-intensive applications, data pipelines, or Python for data work.
Familiarity with AI training data, annotation, or data-labeling workflows.
Core Technologies:
Rust · TypeScript / React · PostgreSQL · Python · cloud object storage · Docker · Kubernetes · AWS (including GovCloud). (Additional components shared during the interview process.)
Eligibility:
U.S. citizenship and an active Top Secret clearance with SCI eligibility are required. This role is open to candidates anywhere in the U.S. (remote) or hybrid in the Washington, DC area, with occasional travel to customer sites.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Hybrid - Washington D.C
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Role:
We build an advanced data platform that helps demanding enterprise and public-sector customers turn large, complex datasets into high-quality, structured data for AI. We're a small, senior team that values ownership, correctness, and strong engineering. We're hiring a full-stack engineer to help build and operate the product end to end, and to work closely with the customers who use it. You'll spend most of your time building, with regular chances to join customer conversations, help deploy the platform in their environments, and see how it's used in the field. It's a great fit for an engineer who enjoys working with customers and wants to grow into a more customer-facing role.
What You'll Do:
Build features end to end across our Rust backend and TypeScript/React frontend, from the data model and APIs to a polished, interactive web application.
Design data models, APIs, and ingestion pipelines that are fast and reliable at scale.
Help deploy, configure, and support the platform in cloud and customer environments, including AWS GovCloud, on-premises Kubernetes, and air-gapped or classified networks.
Build data connectors and integrations that bring customer data into the platform and fit it to their workflows.
Join customer conversations, demos, and occasional on-site visits to understand how the product is used, and turn that feedback into product improvements.
Contribute to architecture, code quality, performance, and security as the product grows.
What We're Looking For:
5+ years building and shipping production software.
Active Top Secret clearance with SCI eligibility (U.S. citizenship required).
Strong backend skills in a modern systems or application language (we work primarily in Rust; we're happy to help a strong engineer ramp up).
Solid SQL and PostgreSQL fundamentals — indexing, transactions, and query performance.
Proficiency with TypeScript and React and an eye for clean, responsive UIs.
Experience deploying and running services with Docker and Kubernetes.
Strong communication skills — able to explain technical work clearly to customers and non-technical stakeholders.
Ability to travel to customer sites.
Nice to Have:
Customer-facing, consulting, or solutions-engineering experience.
Experience deploying software in classified, air-gapped, or other regulated environments.
AWS/EKS (including GovCloud), infrastructure-as-code, and STIG or RMF experience.
Experience with data-intensive applications, data pipelines, or Python for data work.
Familiarity with AI training data, annotation, or data-labeling workflows.
Core Technologies:
Rust · TypeScript / React · PostgreSQL · Python · cloud object storage · Docker · Kubernetes · AWS (including GovCloud). (Additional components shared during the interview process.)
Eligibility:
U.S. citizenship and an active Top Secret clearance with SCI eligibility are required. This role is open to candidates anywhere in the U.S. (remote) or hybrid in the Washington, DC area, with occasional travel to customer sites.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
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