Own and manage the EMEA in-person events calendar - field events, hosted experiences, sponsored conferences, and activations across the region. Partner with the Events Team and Demand Gen to define goals, audiences, formats, and success metrics specific to EMEA markets.
УдалённоLondon
93 000 – 110 000 $
JКомпания не указана
53
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
– Прямое влияние на ключевые показатели: CR к FTD, LTV, удержание, выручка; – Широкие возможности для тестирования — десятки гипотез, механик и экспериментов с интерфейсом;
ГибридseniorЛимассол
Зарплата не указана
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Discovery здесь — сердце роли: проводишь CustDev, ищешь и валидируешь боли, превращаешь инсайты в гипотезы и доводишь их до A/B-теста. Кого ищем: продакта, который 2–3+ года развивал массовый продукт, проводил исследования, уверен в SQL и умеет принимать решения на основе данных.
▫️Управление командой Account / Operations Managers. ▫️3+ года опыта в Account Management / управлении клиентами, Client Operations / клиентских операциях, Customer Success / работе с клиентским успехом или Payments / платежах.
УдалённоleadГеография найма не уточнена
Зарплата не указана
JКомпания не указана
62
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— вести B2B-клиентов от onboarding и KYC/KYB до запуска и первых транзакций
— разбираться в бизнес-модели и платёжных потребностях клиента и подбирать оптимальный payment flow
— сопровождать клиентов по продуктам платформы: счета, FX, международные переводы, payouts, fiat/crypto, API, White Label
— развивать клиентов и помогать подключать дополнительные сервисы платформы
— сопровождать cross-border payments, в том числе нестандартные и ручные платёжные сценарии
— контролировать транзакции, разбирать задержки, отклонения и другие операционные вопросы
— взаимодействовать с AML/Compliance, Finance, Legal, Product/IT и Sales
— участвовать в запуске API-интеграций и White Label-проектов
— собирать обратную связь клиентов и участвовать в улучшении продукта и внутренних процессов
Требования:
— опыт от 3 лет в fintech / payments / banking / FX / Client Success / Account Management
— опыт работы с B2B-клиентами в финансовых или платёжных продуктах
— понимание cross-border payments, SWIFT, SEPA, FX и settlement
— понимание KYC/KYB и AML
— опыт сопровождения клиента от onboarding до запуска продукта
— умение переводить бизнес-задачу клиента в понятный payment flow
— понимание API-интеграций на уровне взаимодействия с клиентом и технической командой
— русский язык — свободный
— английский — B2+
Плюсом:
— B2B cross-border payments
— crypto / USDT / USDC
— treasury / FX operations
— mass payouts
— API / White Label
— опыт работы с несколькими банками и payment providers
Условия:
— полностью удалённо, full-time
— 5-дневная рабочая неделя
— работа с собственной fintech-платформой и международной платёжной инфраструктурой
— прямое взаимодействие с Product/IT, Compliance, Finance, Sales и руководством
— возможность влиять на клиентский опыт, продукт и процессы компании
Ищем специалиста для развития контент-стратегии и роста органического трафика. Вам предстоит работать с SEO, верстать лендинги и создавать качественный контент с помощью AI-инструментов.
• Достигать согласованных результатов в заранее согласованные сроки. • Управлять разработкой, маркетингом и продажами: корректировать и адаптировать продукт, ставить задачи, объяснять требования, контролировать сроки и качество результата.
Sunday Robotics is looking for a Senior Product Manager Internal Tools to define and prioritize tools for robot operations, testing, data workflows, and internal users.
Northern Data is looking for a Revenue Operations and CRM Manager to own CRM systems, improve revenue processes, and build forecasting and reporting infrastructure.
Halborn Inc is looking for a Director of Field Product Management to define solution portfolios, turn market evidence into roadmap priorities, and enable go-to-market teams.
Location: San Francisco
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
Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.
Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far.
Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers.
As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk.
EXAMPLE INITIATIVES
- How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/
- Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts
- Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived
RESPONSIBILITIES
Team Leadership and Culture
- Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise
- Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence
- Provide regular coaching, feedback, and career development support to your direct reports
- Own on-call health for the team’s services, including escalation paths and follow-through on incidents
Technical Direction
- Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events
- Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them
- Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files
- Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on
- Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network
- Review designs and code across the area, and take on hands-on work where it unblocks the team
- Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team
Cross-Functional Partnership
- Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need
- Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs
- Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on
- Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability
- Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership
REQUIREMENTS
- Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management [TODO: confirm whether a tech lead stepping into management qualifies]
- Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure
- Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions
- Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts
- Understanding of how container images are structured, stored, and delivered at scale
- Strong written and verbal communication skills, with the ability to influence without authority across teams
NICE TO HAVE
- Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects
- Familiarity with lazy-loading snapshotters or peer-to-peer image distribution
- Experience with EROFS, FUSE, ublk, or io_uring
- Experience building or operating CDN, object storage, or large-scale caching infrastructure
- Experience running storage services on Kubernetes
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).
The job is to find opportunities, write winning proposals quickly, and build lasting relationships with agencies and teaming partners. Find and respond to federal opportunities, focusing on small business and 8(a) set-asides.
Own relationships with agency program offices, contracting officers, and prime contractors. Spot upcoming requirements, recompetes, and expansion opportunities early.
О проекте:
MeGo.Tours — сервис для путешествий: бронирования, гиды, туры, маршруты, marketplace услуг.
Сейчас масштабируем продукт и усиливаем управление разработкой, поэтому ищем Project Manager, который поможет держать процессы под контролем и доводить задачи до результата.
Требования:
— Опыт в project / delivery роли от 6 месяцев
— Понимание Agile / Scrum процессов
— Умение структурировать хаотичные требования
— Сильные коммуникационные навыки
— Базовое понимание разработки (web / mobile)
— Опыт работы с таск-трекерами (Jira, Trello и др.)
— Ответственность и системное мышление
Будет плюсом:
— Опыт в стартапах
— Понимание product management
— Опыт работы с аналитикой и метриками
— Навыки работы с документацией (PRD, BRD)
— Опыт в travel / marketplace / e-commerce проектах
Чем предстоит заниматься:
— Управлять процессом разработки (planning → execution → delivery)
— Вести спринты и координировать команду (dev / design / marketing)
— Декомпозировать задачи и следить за их выполнением
— Контролировать сроки, риски и приоритеты
— Организовывать коммуникацию между бизнесом и разработкой
— Вести трекинг задач в Jira / аналогах
— Подготавливать статус-отчёты и апдейты по проектам
— Помогать превращать идеи в понятные задачи для команды
Условия:
— Возможность влиять на процессы и продукт
— Работа напрямую с фаундерами
— Гибкий формат работы
— Процент от прибыли / опционы обсуждаемы
— Один обязательный созвон в неделю + рабочие сессии по необходимости
— Реальный опыт построения travel-tech продукта
Формат работы: удалёнка (позже возможно работать из офиса Алматы)
УдалённоСтажёрАлматы
Зарплата не указана
ГибридSan Francisco
165 000 – 330 000 $
Все вакансии в одном месте — страница 17 · Job Hunters