Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.
Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.
You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.
Responsibilities
Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
Provide white glove deployment support for Anthropic products in enterprise environments.
Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
Travel frequently (25-50%) to customer sites to build in person with customers.
Be a champion for Anthropic’s mission in the field.
You May Be a Good Fit If You Have
4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply.
Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
High agency with an ability to navigate ambiguity present in complex organizations.
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
Passion for advancing safe, beneficial AI systems through creative technical applications.
Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
Experience with enterprise IT systems and/or AI deployment patterns is a plus.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£225,000
—
£255,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We’re looking for a
Senior Product Builder
who wants to own product problems, not just engineering tasks.
You’ll work across the full lifecycle of B2B initiatives:
understand → shape → build → ship → measure → iterate
This is not a frontend or backend-specific role. Our main stack is Ruby on Rails and React, but we care more about strong engineering fundamentals, product judgment and the ability to work across the stack when needed.
You won’t receive a perfectly specified backlog. You’ll be expected to help create the work: understand merchants and the business, challenge assumptions, work through ambiguity and decide with the team what is worth building.
How we build at seQura
🤖
AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift.
What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first.
AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you.
Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code.
If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you.
About the Merchant Experience team
🧩
We build the B2B product experiences that help merchants manage and grow their business with seQura.
The team owns merchant-facing products and the platform behind them, including order management, analytics, self-service capabilities, growth initiatives and platform features used by other B2B teams.
We are a small team of senior Product Engineers and a Product Designer, with
no dedicated Product Manager by design
.
Engineers are expected to contribute beyond implementation: understanding problems, shaping opportunities, making product and technical decisions, shipping solutions and checking their outcomes.
Initiatives are led by engineers who take ownership of a problem, gather context, define the hypothesis and success criteria, shape the work, drive delivery and follow up after launch.
AI-assisted development is part of our daily workflow. As implementation gets faster, we expect engineers to spend more of their judgment on
what to build, why it matters and what we learn from it
.
What challenges you'll be solving 🚀
Own product initiatives end-to-end, from problem understanding to outcome validation.
Act as Champion for initiatives: gather context, define hypotheses and success criteria, shape the work and drive it forward.
Work directly with merchants, business stakeholders, Product Design and other engineering teams when needed.
Build and operate production software across backend and frontend.
Make pragmatic product and technical decisions with incomplete information.
Use data, feedback and experiments to decide whether to iterate, change direction or stop.
Contribute to evolving Merchant Portal into a platform other B2B teams can build on.
Use AI throughout your workflow, including exploration, implementation, testing, debugging and learning unfamiliar systems.
What to expect in the next 90 days
🏁
Month 1
Learn the B2B domain, Merchant Portal, codebase and current initiatives. Shadow a Champion, meet key stakeholders and start contributing.
Month 2
Own a small initiative with support from the team, from understanding the problem to shipping it.
Month 3
Act as Champion for an initiative: frame the problem, define the hypothesis and success criteria, ship a solution and check the outcome.
What you’ll need 🤝
Must have:
7+ years of experience building production software.
Strong software engineering fundamentals.
Experience owning work beyond implementation.
Comfortable working across backend and frontend when needed.
Comfortable working with ambiguity and incomplete information.
Strong product and customer curiosity.
High autonomy, ownership and accountability.
Comfortable working directly with stakeholders and other teams.
Experience using AI meaningfully in your software development workflow.
Strong written and verbal communication skills in English.
Nice to have:
Experience with Ruby on Rails and/or React.
Strong full-stack experience.
Experience building platforms or capabilities used by other teams.
Experience with product discovery, experimentation or success metrics.
Spanish fluency.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts
Flexible working hours.
A personal budget for professional development.
Hybrid or fully remote work.
Office workshops and meet-ups to encourage community participation and career growth.
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
Which are the next steps?
🙌
Interview with our People Team.
Technical take-home challenge.
Live peer review of the challenge.
Meet the team.
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
Support Analyst to join our Global Customer Support Team. This role focuses on in-depth analysis, diagnosis, and resolution of complex user cases related to the Creatio product line, as well as continuous knowledge sharing and collaboration with internal technical teams.
The role is based in Poland.
Responsibilities:
Technical Case Analysis & Resolution
Monitor the team’s support queue and proactively take cases into work
Analyze and diagnose incoming technical and functional issues
Resolve user cases related to Creatio product functionality
Implement technical tasks such as building business processes, configuring integrations, and adjusting system behavior
Provide clear algorithms and recommendations for implementing additional business logic
Identify product issues and collaborate with development teams by submitting detailed bug reports
Keep users informed about case progress and resolution status
Handle escalations and complex customer situations
Collect and process feedback related to resolved cases
Customer Communication
Communicate with users via phone and email in a clear and professional manner
Provide telephone consultations on Creatio products and related services
Conduct remote sessions to support issue investigation and resolution
Knowledge Base & Documentation
Create, update, and maintain knowledge base articles
Contribute to troubleshooting guides and technical documentation
Provide feedback and improvement suggestions to the Academy team
Problem Analysis & Continuous Improvement
Analyze recurring issues and customer feedback to identify underlying problems
Collaborate with cross-functional teams, including developers and cloud administrators, to improve product stability and support processes
Requirements:
Experience in technical or customer support roles
Strong understanding of HelpDesk / ServiceDesk processes
Comprehensive knowledge of relational database concepts
Proficiency in SQL
Understanding of PC architecture and computer networks
Foundational programming knowledge and understanding of OOP principles
Ability to analyze complex issues, identify root causes, and propose effective solutions
Strong verbal and written communication skills
Ability to work collaboratively with cross-functional technical teams
Capability to manage multiple tasks and priorities effectively
English proficiency at B2 level or higher
What you should expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
Support Analyst to join our Global Customer Support Team. This role focuses on in-depth analysis, diagnosis, and resolution of complex user cases related to the Creatio product line, as well as continuous knowledge sharing and collaboration with internal technical teams.
The role is based in Poland.
Responsibilities:
Technical Case Analysis & Resolution
Monitor the team’s support queue and proactively take cases into work
Analyze and diagnose incoming technical and functional issues
Resolve user cases related to Creatio product functionality
Implement technical tasks such as building business processes, configuring integrations, and adjusting system behavior
Provide clear algorithms and recommendations for implementing additional business logic
Identify product issues and collaborate with development teams by submitting detailed bug reports
Keep users informed about case progress and resolution status
Handle escalations and complex customer situations
Collect and process feedback related to resolved cases
Customer Communication
Communicate with users via phone and email in a clear and professional manner
Provide telephone consultations on Creatio products and related services
Conduct remote sessions to support issue investigation and resolution
Knowledge Base & Documentation
Create, update, and maintain knowledge base articles
Contribute to troubleshooting guides and technical documentation
Provide feedback and improvement suggestions to the Academy team
Problem Analysis & Continuous Improvement
Analyze recurring issues and customer feedback to identify underlying problems
Collaborate with cross-functional teams, including developers and cloud administrators, to improve product stability and support processes
Requirements:
Experience in technical or customer support roles
Strong understanding of HelpDesk / ServiceDesk processes
Comprehensive knowledge of relational database concepts
Proficiency in SQL
Understanding of PC architecture and computer networks
Foundational programming knowledge and understanding of OOP principles
Ability to analyze complex issues, identify root causes, and propose effective solutions
Strong verbal and written communication skills
Ability to work collaboratively with cross-functional technical teams
Capability to manage multiple tasks and priorities effectively
English proficiency at B2 level or higher
What you should expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Задачи:
— Выступать экспертом по управлению сервисами (инцидент-менеджмент, on-call, IDP, управление работой, автоматизация рабочих процессов, Agent Builder и операционная автоматизация) для команд адвокации и инженерии Datadog
— Создавать контент в различных форматах для укрепления репутации Datadog как лидера в DevOps, мониторинге, наблюдаемости и безопасности: демонстрации, публичные выступления, блоги, документация, вебинары, open source, исследовательские отчеты и др.
— Сотрудничать с командами продуктовой инженерии для создания убедительных демонстраций и обучать внутренние инженерные команды эффективной коммуникации и презентациям
— Взаимодействовать с open source сообществами для продвижения ключевых сообщений на рынке и разработки новых интеграций для Datadog
— Вносить вклад в продукт через обратную связь (баги или предложения по улучшению), документацию или код
Требования:
— Около 5+ лет опыта работы платформенным инженером, инженером по надежности сайта, DevOps-инженером или разработчиком ПО с практическим опытом реагирования на инциденты и поддержки продакшн-систем в сложных ИТ-средах
— Глубокое понимание основных практик управления сервисами (инцидент-менеджмент, on-call, пост-инцидентные обзоры, SLO), опыт работы с инструментами Datadog, PagerDuty, Opsgenie, incident.io, Rootly, Jira Cloud Platform, Cortex или аналогичными, умение решать операционные задачи в организациях разного размера
— Страсть к решению организационных, а не только технических проблем, и опыт широкого распространения знаний
— Около 2+ лет опыта в сторителлинге и создании привлекательного контента: письменные материалы, выступления на конференциях (SREcon, DevOpsDays, SREday), проведение воркшопов, стримы, видео, участие в open source и сообществах
— Наличие публичных примеров работ: статьи, блоги, демонстрации, записи презентаций на технические темы
— Уверенное владение как минимум одним языком скриптов и программирования (Node.js, Python, Go, bash), опыт работы с API и современными инфраструктурами (IaaS, контейнеры)
— Самостоятельное изучение новых технологий и языков
Плюсы:
— Опыт работы с ITSM платформами (ServiceNow, Jira Service Management)
— Активное участие в сообществах SRE, DevOps или инцидент-менеджмента
Условия:
— Конкурентный пакет льгот и бонусов
— Акции для новых сотрудников (RSU) и программа покупки акций сотрудниками (ESPP)
— Возможности карьерного роста
— Обучение продукту и пространству
— Лучший в своем классе онбординг
— Внутренние программы наставничества и поддержки
— Дружелюбная и инклюзивная рабочая культура
Пакет льгот может варьироваться в зависимости от страны и типа занятости.
Компания предлагает конкурентоспособную зарплату и пакет акций, включая переменную часть. Фактическая компенсация зависит от навыков, квалификации и опыта кандидата. В пакет входят медицинское страхование, стоматология, планирование семьи, поддержка психического здоровья, пенсионный план 401(k) с соответствием, оплачиваемый отпуск, компенсация фитнеса и скидки на покупку акций.
Продукты:
— Atomic Agent — open-source local-first AI-агент, работающий на устройстве пользователя.
— AI/ML API — платформа с 400K+ пользователей для доступа к AI-моделям через единый API.
— Atomic Bot — простой запуск OpenClaw в один клик.
Задачи:
— писать контент на английском: посты, треды, статьи, туториалы и кейсы;
— развивать X, Reddit, GitHub, Discord и другие AI-комьюнити;
— запускать коллаборации с AI-компаниями, KOLs и разработчиками;
— работать с email, SEO и органическим ростом;
— тестировать маркетинговые гипотезы и анализировать результат в GA4, PostHog и других инструментах;
— создавать короткие видео и простую графику.
Требования:
— от 1 года опыта в digital, community или content marketing;
— английский B2+;
— понимание культуры X, Reddit, Discord;
— сильные навыки письменной коммуникации;
— базовое понимание аналитики и UTM;
— самостоятельность, инициативность и интерес к AI/Tech.
Будет плюсом:
— опыт с AI, SaaS, developer tools или open-source;
— понимание AI/LLM, developers, self-hosted и локальных моделей;
— SEO, GA4, Google Ads;
— опыт работы с технической аудиторией, KOLs и международными партнёрами;
— техническое или математическое образование.
Условия:
— международные AI-продукты и глобальную аудиторию;
— прямое взаимодействие с CMO и продуктовой командой;
— возможность быстро вырасти в Marketing Manager;
— обучение за счёт компании;
— 28 дней отпуска + 100% больничных;
— гибкое начало рабочего дня;
— выплаты в рублях, валюте или USDT.
Локация: Москва / Санкт-Петербург, офис. Удалённый формат не рассматриваем.
Требуемый уровень английского: B2+.
Задачи:
— Анимировать 2 видео в месяц длительностью 15–25 минут каждое (некоторые короче)
— Обеспечивать визуальное сопровождение: создавать анимацию, добавлять звуковые эффекты и сдавать готовое видео в 1080p с исходными файлами проекта
— Создавать персонажей эпохи Позолоченного века в стиле 2D плоской анимации, поддерживая единый стиль во всех видео
— Поддерживать удержание зрителя на протяжении всего видео с помощью ритма, монтажных склеек, постановки сцен, визуальных крючков и звуковых эффектов
Требования:
— Умение создавать анимацию в стиле Agent Flappy (пример: https://www.youtube.com/@AgentFlappy)
— Наличие портфолио обязательно
— Готовность выполнить оплачиваемое тестовое задание на 20 секунд за $20
Условия:
— Оплата $200 за готовое видео
— 2 видео в месяц до монетизации канала
— После монетизации объем работы увеличивается до 4–6 видео в месяц
— Бонусы за просмотры и объем начинаются после монетизации
— Возможность постоянной работы в команде при успешном сотрудничестве
Дополнительно:
— Предоставляются сценарий, озвучка и референсы
— Требуется творческий подход и готовность к сотрудничеству
— Тестовое задание оплачивается и входит в оплату первого видео
Задачи:
— Проектировать и разрабатывать multi-agent системы.
— Интегрировать LLM с внутренними инструментами и сервисами.
— Разрабатывать backend-сервисы и API для agent workflows.
— Реализовывать RAG pipelines и tool/function calling.
— Создавать CLI-based agent workflows и инструменты автоматизации.
— Разрабатывать Computer Vision pipelines: object detection, multi-object tracking, person re-identification.
— Разрабатывать multi-camera multi-person tracking для сетей камер.
— Работать с видеопотоками в реальном времени и оптимизировать GPU inference.
Требования:
— Опыт работы с Node.js ecosystem и Express.js.
— Уверенное владение Python.
— Опыт работы с LLM APIs и prompt engineering.
— Опыт работы с RAG, tool calling или agent frameworks.
— Знакомство с Docker, Linux и Git.
— Опыт работы с PyTorch и OpenCV.
— Опыт в object detection и multi-object tracking.
— Опыт работы с YOLO, ByteTrack / BoT-SORT или аналогами.
— Понимание person re-identification и vector search.
— Опыт работы с Milvus / FAISS.
— Опыт обработки видео с ffmpeg / GStreamer.
— Работа с RTSP и hardware decoding.
Будет плюсом:
— Опыт в NLP и ML.
— Опыт развёртывания open-source LLM.
— Опыт оптимизации inference.
— Опыт работы с Vision-Language Models.
— TensorRT / ONNX Runtime.
Условия:
— Удалённый формат работы.
— Заработная плата: 1.600–3.200 USD net в месяц.
Location: Bangalore; EU Remote
Workplace: Remote
About the role
We’re looking for an experienced Backend Software Engineer with 4+ years of experience to help drive and evolve our product. Strong hands-on experience with Go (Golang) is a must for this role. Our technology is new and rapidly evolving, so you’ll be an early contributor with meaningful impact on the architecture while solving complex technical challenges at scale.
What you’ll do
- You'll design, extend and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale. Our product is processing billions of events from hundreds of thousands of endpoints in real-time with sub-second latency requirements
- You'll architect and implement Security products to protect customers data
- You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills
- Strong hands-on experience with Go (Golang) is required. You have built and shipped production backend services using Go.
- You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, Etcd
- You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet
Who you are
- You have a strong track record in building backends that are actively used at scale. You contributed significantly to and extended their architecture.
- You have experience developing large applications in Go.
- You used databases at a very large scale. Knowledge of the GCP services is a plus
- You have experience with profiling and optimizing the distributed code that uses large databases and streaming platforms.
- If you have experience in building connectors that integrate at API level with SaaS applications commonly used in the enterprises let us know
- You have hands-on experience with microservices and Kubernetes
- You have excellent verbal and written communication skills in English and you can be available to frequently communicate with distributed teams in Europe and US
- You thrive in fast paced environments tackling ambiguous challenges and you enjoying shipping with velocity
- You have a customer centric mindset and enjoy direct feedback from customers
- You are based in Bangalore for the India location (Remote for EU based talent)
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Romania
The Opportunity
Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Equity participation
Comprehensive benefits (health, dental, vision, 401k)
Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements
If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.
Location: Poland
The Opportunity
Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Equity participation
Comprehensive benefits (health, dental, vision, 401k)
Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements
If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.
Location: Canada
The Opportunity
Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Equity participation
Comprehensive benefits (health, dental, vision, 401k)
Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements
If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.
Задачи:
— разработка и развитие веб-интерфейсов для AI-ассистента на TypeScript/React
— разработка backend-сервисов на Node.js/TypeScript
— разработка механизмов взаимодействия AI-агентов с кодовой базой и инструментами разработки
— интеграция LLM / AI API
— проектирование и реализация RESTful API и GraphQL сервисов
— разработка механизмов контекстного анализа кода
— оптимизация производительности и UX взаимодействия AI-ассистента с разработчиком
— работа с WebSocket и Server-Sent Events для real-time коммуникации.
Требования:
— от 4 лет коммерческой разработки на TypeScript/JavaScript
— хорошее понимание асинхронного программирования и event-driven архитектуры
— опыт работы с Node.js
— глубокое понимание TypeScript (типы, дженерики, декораторы)
— понимание принципов работы AI / LLM систем
— опыт интеграции внешних API и сервисов
— понимание архитектуры веб-приложений и многоуровневой архитектуры
— опыт проектирования архитектуры сложных систем.
Будет плюсом:
— знание Rust/Golang
— создание Desktop приложений (tauri/electron)
— опыт разработки AI-ассистентов для программистов
— опыт разработки agentic AI-систем
— опыт работы с LLM (OpenAI / open-source модели / RAG / embeddings)
— понимание контекстного анализа кода
— опыт разработки IDE-плагинов на JavaScript/TypeScript
— опыт работы с Websocket и real-time системами
— инструментальное владение AI для анализа, генерации и автоматизации
— опыт создания AI-агентов и использования их в работе
— опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов.
Условия:
— работа над AI Developer Platform нового поколения
— разработка agentic AI-систем для программистов
— сложные инженерные задачи на стыке IDE, анализа кода, AI и веб-интерфейсов
— возможность влиять на архитектуру и развитие продукта
— работа с современными LLM и AI-инфраструктурой
— гибкий формат работы и конкурентную компенсацию
— годовой бонус и ежегодный пересмотр зарплаты
— расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа
— статус аккредитованной ИТ-компании со всеми преимуществами (отсрочка от срочной службы)
— льготная ипотека для сотрудников, подписка Прайм, скидки от партнеров и сервисов группы компаний
— корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
— реферальная программа (бонус до 100 000 рублей).
Fastly is seeking a Threat Detection Analyst for the APAC region who is Japanese speaking. The role is part of the Fastly Customer Security Operations Center (CSOC) team, focusing on operational support of Fastly’s security products and services, particularly integrating and supporting agent software installed on customer systems. The position involves monitoring and analyzing customer activity with emphasis on security functions such as identifying account-takeover, Bot Attacks, and WAF administration, focusing on application layer security and web technologies. The role requires working Friday to Tuesday, 0000 - 0800 UTC (9am - 6pm AEST).
Responsibilities include:
— Ensuring security for customers and providing outstanding responses to security issues.
— Providing deep application-security expertise on escalated cases from customers and automated systems.
— Conducting continuous improvement and research to enhance customer security products and operations.
— Contributing to processes and policies to scale the organization.
— Creating and reviewing security service reports for customers.
— Creating and managing security content for customer environments.
Requirements:
— Prior experience working in a SOC environment.
— Experience with SaaS/Cloud or hybrid cloud deployments; Apache, NGINX, IIS or other web server platforms and associated application server technologies and frameworks.
— Scripting skills in Python, Java, Go, Rust, PHP, Unix/Linux Shell, C#, or other common web languages.
— Strong information security background with practical skills in application security.
— Experience in IT or security technical support, operations, or research roles.
— Unix/Linux or Windows system administration skills.
— Ability to work with limited supervision and mentor others on security knowledge.
— Fluent spoken and written English, adaptable to different audiences.
— Experience troubleshooting software products.
— Focus on delivering exceptional customer experiences.
Work hours require availability during core business hours. The position is remote based with potential to become hybrid as Fastly expands in the region. Travel to the US and internationally may be required.
Benefits include a comprehensive package starting from day one, with variations depending on country. Fastly emphasizes a positive work environment, diversity, inclusion, and support for employees' passions and causes.
Applications must be submitted through Fastly's official careers site. Fastly is an equal opportunity employer committed to a safe and welcoming work environment free of discrimination and harassment. Reasonable accommodations are available for applicants with disabilities.
Требования:
• Агентная разработка (vibe coding)
• Опыт продуктовой разработки от 4 лет, уровень senior fullstack
• Агентные CLI-инструменты (Claude Code, Codex CLI, Cursor agent mode, Aider) как основной способ работы
• Spec-driven development: формулирование функциональных и нефункциональных требований до первого промпта; умение писать инженерные спецификации и контекстные файлы (правила, схемы, markdown)
• Модульность: слабая связанность, доменные границы, нарезка проекта на небольшие изолированные файлы
• Управление контекстным окном для предотвращения дрейфа и галлюцинаций
• Умение сбросить сессию агента и начать заново с более жёсткими ограничениями
• Разработка в несколько потоков, менеджмент репозитория под агентную работу, опыт коллаборативной AI-разработки
• Ревью и аудит AI-кода: слабые имена, дублирование, отсутствующие проверки, небезопасная работа с данными
• Тесты как способ управления агентом: юнит- и интеграционные тесты пишутся до логики фичи
• Инфраструктура и восстановление: версионирование, снапшоты БД, бэкапы, CI, процедуры восстановления данных
• Готовность писать код руками при необходимости и ответственность за результат, включая код, сгенерированный агентом
• Современный типизированный backend-язык с асинхронностью, моделью ошибок, управлением зависимостями, воспроизводимым окружением
• HTTP API и realtime-транспорт: REST, двусторонние соединения, стриминг, протокол сообщений, переподключения, валидация схем
• Автотесты: юнит- и интеграционные, изоляция внешних сервисов и зависимостей, поддержание тестовых данных
• Реляционные БД: схема, миграции, индексы, нетривиальные запросы, понимание пределов БД
• Разрешение конфликтов зависимостей, включая бинарную несовместимость библиотек
• Компонентный SPA-фреймворк и типизированный JavaScript; готовность сменить фреймворк за неделю
• Компонентные тесты в браузерном окружении
• Realtime-клиент: переподключения, стриминг, рантайм-валидация сообщений
• Медиа в браузере: доступ к устройствам ввода, работа с аудиопотоком, кодирование и передача
• Состояние на клиенте и ограничения браузера: защищённый контекст, сертификаты в dev, хранилище
• Умеренность в UI: простой интерфейс без тяжёлых фреймворков и дизайн-систем
• Классические CV-задачи: детекция, эмбеддинги, кластеризация, обработка изображений и метаданных, дедупликация
• Локальные LLM: форматы весов и квантизации, размер контекста, латентность, стоимость запроса; умение измерять
• Речевые модели: распознавание и синтез речи, баланс качества и ресурсов, ограничения по задержке и длине входа
• Мультимодальные модели: генерация описаний по изображению, оценка качества генерации
• Эмбеддинги и векторный поиск: семантический поиск, гибридные схемы, переранжирование, метрики качества
• Ресурсы и эксплуатация inference: одна модель на процесс, память ускорителя, батчинг, прогрев, поведение под нагрузкой
• Не требуется: обучение моделей с нуля, MLOps, распределённое обучение
• Пайплайны обработки как идемпотентные стадии с фиксацией состояния
• Понимание разницы между инкрементальным и полным пересчётом и цены ошибки
• Целостность данных при деплое, сведение расходящихся баз, миграции данных
• Границы сервисов: процессы, владение данными, поведение при отказах
• Контейнеризация: образы с тяжёлыми зависимостями, тома для данных и весов моделей, политики перезапуска, диагностика падений
• Linux и сеть: удалённый доступ, проброс портов, разрешение конфликтов, чтение логов
• Скриптование рутины: деплой, синхронизация данных, ротация логов
• Уверенное владение Git, включая нетривиальные операции; чтение истории
• Базовая безопасность: сервис без аутентификации локален, секреты не в репозитории, dev/prod режимы разведены
• Автоматические smoke-проверки интерфейса после изменений
• 4+ года разработки, из них 2+ года бэкенда в продакшене
• 1+ год реального фуллстека: разработка клиента и сервера
• Проект с LLM/ML как частью продукта
• Запуск моделей локально или on-premise
• 2–3+ месяца ежедневной работы через агентные инструменты
Задачи:
• Подключение и настройка USB-камеры: интеграция с ПО, захват видеопотока, детекция лиц, распознавание жестов
• Реализация стереоскопического режима 2D→3D на телевизоре без специализированной 3D-панели
• Разработка клиентских интерфейсов для телевизора и мобильного устройства по дизайн-макетам, адаптация вёрстки, интеграция с бэкендом, двустороннее realtime-взаимодействие
• Разработка технической документации, инженерных спецификаций и контекстных файлов, используемых при агентной разработке
Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia
Workplace: Remote
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At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
We are a fast-moving e-commerce company that builds our own proprietary AI infrastructure. We develop internal AI-driven systems to automate complex creative and analytical workflows, which we later scale into B2B SaaS products.
We are not looking for a traditional developer.
We are looking for an AI-Native Builder who can turn an idea into a functional prototype in days using the latest AI-assisted development tools.
THE ROLE
As a Founding AI Engineer, you will work directly with the founder to design, build, and iterate on various AI systems. The projects will vary - from computer vision and image manipulation to automated video generation and agentic data analysis. You will be responsible for the full pipeline: from R&D of the best AI models to deploying scalable web applications.
Who You Are:
- Modern Developer: You have abandoned "manual-only" coding. You are a power user of tools like GPT Codex, Claude code, and Replit, allowing you to build at a 10x pace.
- AI Generalist: You are comfortable working across different AI domains - LLMs (Text/Reasoning), Diffusion (Image/Video), and Vision models.
- Agile & Adaptive: You thrive in an environment where projects evolve. You are a fast learner who can master a new AI framework or API over a weekend.
- Hacker Mindset: You focus on ROI. You build lean MVPs, test them in our real-world e-commerce operations, and only then polish them for scale.
- Architecture-Aware: You know how to orchestrate multiple AI models into a single "Agentic" workflow that handles complex tasks autonomously.
Technical Interests:
- Stack: Next.js / Python (FastAPI).
- AI Frameworks: ComfyUI / Diffusers, IP-Adapters, ControlNet, and Agentic frameworks (LangChain/CrewAI).
- Infrastructure: Experience with Serverless GPU providers (Replicate, Fal, RunPod).
- Integrations: Skilled at connecting diverse APIs to create seamless automated systems.
Why Join Us:
- Direct Impact: Build tools that are immediately put to use in real-world business scenarios.
- Extreme Speed: No corporate red tape. If the tech works, we ship it.
- Evolution: This is a founding role with the opportunity to lead multiple product lines as we transition from internal tools to SaaS.
THE RECRUITMENT PROCESS
1. Apply - A simple form that helps us know who’s stepping into our world.
2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space
3. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together
FIXED SERVICE FEE
€2000- €3000 after taxes (depending on your skills, competencies, and experience).
PERKS & BENEFITS
- Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness.
- Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
- A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
- Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
- A budget for your home office setup so you’re comfortable working how you like and where you like.
- Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
- Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
- For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours - it keeps collaboration smooth and communication easy.
(This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
Требования:
• Агентная разработка (vibe coding)
• Опыт продуктовой разработки от 4 лет, уровень senior fullstack
• Агентные CLI-инструменты (Claude Code, Codex CLI, Cursor agent mode, Aider) как основной способ работы — поставленные и поддерживаемые продуктовые фичи, а не прототипы; ключевым является методика, а не знание конкретного инструмента
• Spec-driven development: функциональные и нефункциональные требования формулируются до первого промпта; спецификация → план → код; умение писать инженерные спецификации и контекстные файлы (правила, схемы, markdown), удерживающие агента в рамках задачи
• Модульность как условие агентной работы: слабая связанность и доменные границы, нарезка проекта на небольшие изолированные файлы вместо монолита
• Управление контекстным окном: осознанный подбор того, что попадает в контекст, для предотвращения дрейфа и галлюцинаций на устаревшем коде
• Умение вовремя сбросить сессию: остановить зациклившегося агента, очистить рабочее дерево и начать заново с более жёсткими ограничениями
• Разработка в несколько потоков, менеджмент репозитория под агентную работу, опыт коллаборативной AI-разработки
• Ревью и аудит AI-кода: слабые имена, дублирование, отсутствующие проверки, небезопасная работа с данными
• Тесты как способ управления агентом: осмысленные юнит- и интеграционные тесты пишутся до логики фичи
• Инфраструктура и восстановление: версионирование, снапшоты БД, бэкапы, CI, готовая процедура восстановления данных
• Готовность писать код руками, когда агент упёрся, и ответственность за результат, включая код, сгенерированный агентом
• Современный типизированный backend-язык: асинхронность, модель ошибок, управление зависимостями, воспроизводимое окружение
• HTTP API и realtime-транспорт: REST и двусторонние соединения — стриминг, протокол сообщений, переподключения, валидация схем на границе
• Автотесты как норма: юнит- и интеграционные, изоляция внешних сервисов и тяжёлых зависимостей, поддержание тестовых данных
• Реляционные БД руками: схема, миграции, индексы, нетривиальные запросы, понимание пределов выбранной БД
• Разрешение конфликтов зависимостей, включая бинарную несовместимость библиотек (характерно для окружений с ML-пакетами)
• Компонентный SPA-фреймворк и типизированный JavaScript; конкретный фреймворк не принципиален, принципиальна готовность сменить его за неделю
• Компонентные тесты в браузерном окружении, а не только ручная проверка
• Realtime-клиент: переподключения, стриминг, рантайм-валидация входящих сообщений
• Медиа в браузере: доступ к устройствам ввода, работа с аудиопотоком, кодирование и передача
• Состояние на клиенте и ограничения браузера: защищённый контекст, сертификаты в dev, хранилище
• Умеренность в UI: простой интерфейс без тяжёлых фреймворков и дизайн-систем
• Классические CV-задачи: детекция, эмбеддинги и кластеризация объектов, обработка изображений и метаданных, дедупликация
• Локальные LLM: форматы весов и квантизации, размер контекста, латентность и стоимость запроса; умение измерять, а не предполагать
• Речевые модели: распознавание и синтез речи, размен качества на ресурсы, ограничения по задержке и длине входа
• Мультимодальные модели: генерация описаний по изображению, оценка качества генерации
• Эмбеддинги и векторный поиск: семантический поиск, гибридные схемы с полнотекстовым, переранжирование, метрики качества выдачи
• Ресурсы и эксплуатация inference: одна модель на процесс, память ускорителя, батчинг, прогрев, поведение под нагрузкой
• Не требуется: обучение моделей с нуля, MLOps-платформы, распределённое обучение
• Пайплайны обработки как идемпотентные стадии с фиксацией состояния: перезапускаемость, докат, инкрементальность
• Понимание разницы между инкрементальным и полным пересчётом и цены ошибки (полный пересчёт обычно уничтожает ручную разметку)
• Целостность данных при деплое, сведение расходящихся баз, миграции данных, а не только схемы
• Границы сервисов: как процессы общаются, кто владеет данными, что происходит при отказе одного из них
• Контейнеризация: образы с тяжёлыми зависимостями, тома для данных и весов моделей, политики перезапуска, диагностика падений
• Linux и сеть: удалённый доступ, проброс портов, разрешение конфликтов портов, чтение логов как основной способ разбирательства
• Скриптование рутины: деплой, синхронизация данных, ротация логов
• Уверенное владение Git, включая нетривиальные операции; чтение истории как источника проектных решений
• Базовая безопасность: сервис без аутентификации не выходит за пределы локального интерфейса, секреты не попадают в репозиторий, dev- и prod-режимы разведены явно
• Автоматические smoke-проверки интерфейса после изменений
• 4+ года разработки, из них 2+ года бэкенда в продакшене
• 1+ год реального фуллстека: разработка и клиента, и сервера к нему
• Проект, где LLM/ML были частью продукта, а не демонстрационным примером
• Запуск моделей локально или on-premise, а не только вызовы облачных API
• 2–3+ месяца ежедневной работы через агентные инструменты
Задачи:
• Подключение и настройка USB-камеры на целевом устройстве: интеграция камеры с ПО устройства и захват видеопотока; детекция лиц и определение пользователя, находящегося перед устройством; распознавание управляющих жестов
• Реализация стереоскопического режима 2D→3D: поиск и реализация способа вывода стереоскопического изображения на произвольном телевизоре, не требующем специализированной 3D-панели (приоритетный вариант — пассивное 3D)
• Разработка клиентских интерфейсов для телевизора и мобильного устройства: реализация экранов по предоставляемым Заказчиком дизайн-макетам; адаптация вёрстки под особенности вывода на телевизоре и под мобильные экраны; интеграция с существующим бэкендом Заказчика, включая двустороннее realtime-взаимодействие
• Разработка технической документации по всем перечисленным блокам работ, включая инженерные спецификации и контекстные файлы, использованные при агентной разработке
Location: Georgia; Rhode Island; New Jersey; Delaware; Maine; Maryland; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; New Hampshire; New York
Workplace: Hybrid
Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Over the last 2 years, Chainalysis has made big bets and moved fast to capture the market opportunity in front of us: we've accelerated growth, landed enterprise-wide contracts at the world's largest financial institutions, completed four acquisitions to build our AI talent and expand our products, and launched our first agentic product to select customers.
The Talent Acquisition team at Chainalysis is responsible for scaling the most important ingredient to our success: people. Our job is to build and execute a talent acquisition strategy that is inclusive, rigorous, and repeatable around the world. As we enter a period of significant go-to-market growth, we're investing heavily in our sales organization and need a recruiter who can match that pace.
We're looking for a Recruiter, Go-to-Market who will own and drive hiring for sales and go-to-market roles at Chainalysis. This is a high-volume, outbound-heavy role. You'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top sales talent across crypto, fintech, and traditional financial services. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Account Executive roles among your key hires. You'll work closely with hiring managers across our enterprise and public sector sales teams, acting as a recruiting partner who understands the business and delivers results.
Please note that this position is a 6 month Fixed Term Contract initially
IN THIS ROLE, YOU'LL:
BUILD PIPELINE THROUGH OUTBOUND SOURCING
- Own pipeline generation for go-to-market roles, with a heavy emphasis on proactive outbound sourcing to find and engage top sales talent
- Map the competitive landscape across crypto, fintech, and traditional financial services to identify where strong Account Executives and quota-carrying sellers work today
- Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns
- Maintain a high volume of outbound activity to keep pipeline ahead of hiring demand
RUN FULL-CYCLE RECRUITING AT PACE
- Own the full recruiting lifecycle for go-to-market roles, from intake and sourcing through offer negotiation and close
- Manage a high-volume requisition load across enterprise and public sector go-to-market teams
- Move candidates through the process efficiently while delivering a thoughtful, personalized, and transparent candidate experience at every step
- Make data-driven decisions about pipeline health, conversion rates, and sourcing channel effectiveness to keep hiring on track
PARTNER WITH HIRING MANAGERS AND THE BUSINESS
- Build trusted relationships with sales leaders to develop a deep understanding of their teams, priorities, and what great looks like for each hire
- Guide hiring managers through the recruiting process with clear communication, calibrated expectations, and market insights
- Share competitive intelligence on talent availability, compensation benchmarks, and hiring trends across relevant markets
- Provide regular pipeline updates and flag risks early so hiring plans stay on schedule
CONTRIBUTE TO TALENT ACQUISITION AS A TEAM
- Champion diversity and inclusion in every search, with intentional focus on engaging candidates from underrepresented backgrounds
- Share sourcing wins, market learnings, and process improvements across the Talent Acquisition team
- Identify opportunities to improve recruiting workflows, tools, and candidate experiences
- Occasionally provide recruiting support for roles outside of go-to-market as priorities and bandwidth allow
WE'RE LOOKING FOR CANDIDATES WHO HAVE:
- 3+ years of full-cycle recruiting experience with a strong track record of hiring sales and go-to-market talent, specifically quota-carrying roles such as Account Executives, Sales Engineers, and Business Development Representatives
- Demonstrated outbound sourcing ability: you build your own pipeline, generate candidate interest through direct outreach, and do not rely on inbound applications to fill roles
- Proven track record of recruiting sales talent within the SaaS and Cybersecurity sectors, with a specific focus on candidates who have successfully sold complex solutions into the Fintech, Cryptocurrency, or Traditional Financial Services markets.
- Comfort operating at high volume and managing multiple open requisitions simultaneously without dropping quality or candidate experience
- Strong organizational skills with sharp attention to detail and consistent follow-through on every candidate and requisition
- The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data
- A collaborative, low-ego approach to working on a small, close-knit Talent Acquisition team
- Curiosity about our industry and genuine interest in learning the Chainalysis product suite and competitive landscape
NICE TO HAVE:
- Experience recruiting for public sector go-to-market roles (Federal, DoD/Intel)
- Familiarity with government clearance requirements and their impact on candidate pools
- Experience at a high-growth or pre-IPO technology company
- Experience working with Ashby ATS and sourcing tools
- Recruiting experience beyond core sales roles, such as professional services, solutions engineering, or customer success
This role is ineligible for visa sponsorship.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
ГибридseniorBarcelona, Spain; If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you
УдалённоUkraine
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УдалённоRomania; Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
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УдалённоCanada; Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
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УдалённоseniorРоссия; ❇️ Fullstack разработчик ❇️ | Компания Top Selection 🔥 Мы в поиске Fullstack разработчика на проектную занятость Грейд: senior Ставка: от 272К до 300К Гражданство/Локация: РФ Загрузка: фуллтайм Срок: долгосрочный Оформление: только ИП 📌 (не СЗ, не ТК) Требования: • Агентная разработка (vibe coding) • Опыт продуктовой разработки от 4 лет, уровень senior fullstack • Агентные CLI-инструменты (Claude Code, Codex CLI, Cursor agent mode, Aider) как основной способ работы — поставленные и поддерживаемые продуктовые фичи, а не прототипы; ключевым является методика, а не знание конкретного инструмента • Spec-driven development: функциональные и нефункциональные требования формулируются до первого промпта; спецификация → план → код; умение писать инженерные спецификации и контекстные файлы (правила, схемы, markdown), удерживающие агента в рамках задачи • Модульность как условие агентной работы: слабая связанность и доменные границы, нарезка проекта на небольшие изолированные файлы вместо монолита • Управление контекстным окном: осознанный подбор того, что попадает в контекст, для предотвращения дрейфа и галлюцинаций на устаревшем коде • Умение вовремя сбросить сессию: остановить зациклившегося агента, очистить рабочее дерево и начать заново с более жёсткими ограничениями • Разработка в несколько потоков, менеджмент репозитория под агентную работу, опыт коллаборативной AI-разработки • Ревью и аудит AI-кода: слабые имена, дублирование, отсутствующие проверки, небезопасная работа с данными • Тесты как способ управления агентом: осмысленные юнит- и интеграционные тесты пишутся до логики фичи • Инфраструктура и восстановление: версионирование, снапшоты БД, бэкапы, CI, готовая процедура восстановления данных • Готовность писать код руками, когда агент упёрся, и ответственность за результат, включая код, сгенерированный агентом • Современный типизированный backend-язык: асинхронность, модель ошибок, управление зависимостями, воспроизводимое окружение • HTTP API и realtime-транспорт: REST и двусторонние соединения — стриминг, протокол сообщений, переподключения, валидация схем на границе • Автотесты как норма: юнит- и интеграционные, изоляция внешних сервисов и тяжёлых зависимостей, поддержание тестовых данных • Реляционные БД руками: схема, миграции, индексы, нетривиальные запросы, понимание пределов выбранной БД • Разрешение конфликтов зависимостей, включая бинарную несовместимость библиотек (характерно для окружений с ML-пакетами) • Компонентный SPA-фреймворк и типизированный JavaScript; конкретный фреймворк не принципиален, принципиальна готовность сменить его за неделю • Компонентные тесты в браузерном окружении, а не только ручная проверка • Realtime-клиент: переподключения, стриминг, рантайм-валидация входящих сообщений • Медиа в браузере: доступ к устройствам ввода, работа с аудиопотоком, кодирование и передача • Состояние на клиенте и ограничения браузера: защищённый контекст, сертификаты в dev, хранилище • Умеренность в UI: простой интерфейс без тяжёлых фреймворков и дизайн-систем • Классические CV-задачи: детекция, эмбеддинги и кластеризация объектов, обработка изображений и метаданных, дедупликация • Локальные LLM: форматы весов и квантизации, размер контекста, латентность и стоимость запроса; умение измерять, а не предполагать • Речевые модели: распознавание и синтез речи, размен качества на ресурсы, ограничения по задержке и длине входа • Мультимодальные модели: генерация описаний по изображению, оценка качества генерации • Эмбеддинги и векторный поиск: семантический поиск, гибридные схемы с полнотекстовым, переранжирование, метрики качества выдачи • Ресурсы и эксплуатация inference: одна модель на процесс, память ускорителя, батчинг, прогрев, поведение под нагрузкой • Не требуется: обучение моделей с нуля, MLOps-платформы, распределённое обучение • Пайплайны обработки как идемпотентные стадии с фиксацией состояния: перезапускаемость, докат, инкрементальность • Понимание разницы между инкрементальным и полным пересчётом и цены ошибки (полный пересчёт обычно уничтожает ручную разметку) • Целостность данных при деплое, сведение расходящихся баз, миграции данных, а не только схемы • Границы сервисов: как процессы общаются, кто владеет данными, что происходит при отказе одного из них • Контейнеризация: образы с тяжёлыми зависимостями, тома для данных и весов моделей, политики перезапуска, диагностика падений • Linux и сеть: удалённый доступ, проброс портов, разрешение конфликтов портов, чтение логов как основной способ разбирательства • Скриптование рутины: деплой, синхронизация данных, ротация логов • Уверенное владение Git, включая нетривиальные операции; чтение истории как источника проектных решений • Базовая безопасность: сервис без аутентификации не выходит за пределы локального интерфейса, секреты не попадают в репозиторий, dev- и prod-режимы разведены явно • Автоматические smoke-проверки интерфейса после изменений • 4+ года разработки, из них 2+ года бэкенда в продакшене • 1+ год реального фуллстека: разработка и клиента, и сервера к нему • Проект, где LLM/ML были частью продукта, а не демонстрационным примером • Запуск моделей локально или on-premise, а не только вызовы облачных API • 2–3+ месяца ежедневной работы через агентные инструменты Задачи: • Подключение и настройка USB-камеры на целевом устройстве: интеграция камеры с ПО устройства и захват видеопотока; детекция лиц и определение пользователя, находящегося перед устройством; распознавание управляющих жестов • Реализация стереоскопического режима 2D→3D: поиск и реализация способа вывода стереоскопического изображения на произвольном телевизоре, не требующем специализированной 3D-панели (приоритетный вариант — пассивное 3D) • Разработка клиентских интерфейсов для телевизора и мобильного устройства: реализация экранов по предоставляемым Заказчиком дизайн-макетам; адаптация вёрстки под особенности вывода на телевизоре и под мобильные экраны; интеграция с существующим бэкендом Заказчика, включая двустороннее realtime-взаимодействие • Разработка технической документации по всем перечисленным блокам работ, включая инженерные спецификации и контекстные файлы, использованные при агентной разработке
УдалённоLithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Belgium; Andorra; Slovenia; Malta; Italy; Montenegro; France; Latvia; Albania; Czech Republic; Greece; Slovakia; Kosovo; Yerevan; Bulgaria; Moldova; Georgia; Bosnia and Herzegovina; Poland; Czechia; Croatia; Our tribe works primarily in the Eastern European Time Zone (EET - UTC+2/UTC+3); We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported
УдалённоseniorЗапуск моделей локально или on-premise, а не только вызовы облачных API
ГибридGeorgia; Rhode Island; New Jersey; Delaware; Maine; Maryland; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; New Hampshire; New York; You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Account Executive roles among your key hires; Champion diversity and inclusion in every search, with intentional focus on engaging candidates from underrepresented backgrounds