Задачи:
— Разработка backend части системы, построенной на микросервисной архитектуре;
— Проектирование технических решений для решения бизнес задач на проекте.
— Обсуждение своего решения в команде;
— Интеграция системы с внешними и внутренними сервисами;
— Оптимизация производительности системы и работы с большими объемами данных;
— Проведение code review и поддержка высокого качества кода.
Требования:
— Опыт разработчик на Java 21;
— Глубокое знание Java core;
— Знание принципов ООП и понимание паттернов проектирования;
— Опыт разработки высоконагруженных систем;
— Знание, опыт проектирования и разработки RESTful API;
— Опыт разработки и проектирования систем в парадигме микросервисной архитектуры;
— Опыт работы с Spring Framework (Core, MVC, Boot, Data), Hibernate/JPA;
— Реляционные СУБД, опыт написания, отладки и оптимизации SQL запросов (Postgres);
— Опыт работы с Maven/Gradle;
— Навык написания unit и интеграционных тестов на Java;
— Опыт работы с Kafka;
— Умение и желание писать чистый и понятный код.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability.
This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority.
Why you’ll love this role
Leverage:
Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship.
Genuinely Hard Problems:
You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users.
Influence Without Bureaucracy:
You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs.
Frontier AI Work:
You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
What you’ll do
Lead Cross-Cutting Initiatives:
Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups.
Own Architecture Strategy:
Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl.
Set the Standards:
Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely.
Establish Shared Patterns:
Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem.
Own What You Build in Production:
Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence.
Influence and Partner:
Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs.
Grow Engineers:
Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team.
Lead AI Adoption:
Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output.
On-Call Support:
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Cross-Team Technical Leadership:
A sustained record of technical leadership across more than one team or a broad product area.
Deep Architecture Experience:
Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components.
Modularization in Production:
Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach.
Influence Without Authority:
A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation.
Product Judgment:
The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment.
Mentorship:
Experience mentoring engineers and shaping standards through code review, documentation, and example.
Agentic AI Leadership:
Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them.
Helpful experience
Go services and APIs at scale.
Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness.
Rust adoption or production ownership for systems, security, performance, or platform components.
Ruby/Rails modularization and large-monolith modernization.
PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems.
Security-sensitive product or software supply chain engineering.
Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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 the role
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
Responsibilities:
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Build abuse detection mechanisms and infrastructure
Surface abuse patterns to our research teams to harden models at the training stage
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you have:
A Bachelor’s degree in Computer Science, Software Engineering or comparable experience
Proficiency in Python and Typescript
An ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
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:
$320,000
—
$485,000 USD
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: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Staff Frontend Engineer
An overview of this role
As a Staff Frontend Engineer on the Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll solve complex frontend problems, deliver large features with minimal guidance, and improve the architecture and standards that help teams move faster without compromising quality.
You'll work with product, design, engineering managers, and engineers across product groups to shape product experiences and frontend architecture for a global platform. This includes how teams use agentic artificial intelligence in engineering workflows and user experiences.
At GitLab, we build an all-remote, artificial intelligence-powered DevSecOps platform. You'll help shape product experiences and frontend architecture that enable everyone to contribute to and co-create the software that powers our world.
What you’ll do
Lead the technical design and delivery of large, complex frontend initiatives across multiple teams.
Drive frontend platform, design system, and shared architecture strategy for long-term scalability.
Define and improve standards for versioning, testing, documentation, accessibility, security, performance, and maintainability.
Lead modernization of a monolith or legacy frontend architecture toward modular, reusable, and independently deployable systems.
Establish versioned module or host contracts and build, test, deploy, release, and rollback practices for safe operations.
Create shared patterns for dependency management, design system integration, observability, error isolation, and performance budgets.
Guide technical direction through clear written proposals and architectural leadership. Partner with product and engineering leaders on platform roadmaps, technical debt, and investment trade-offs.
Mentor senior and intermediate engineers. Establish guardrails for artificial-intelligence-assisted and agentic workflows that protect code quality, security, privacy, and evaluation standards.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
A sustained record of technical leadership across teams or a broad product area.
Deep frontend architecture and production experience in complex web applications.
Experience scaling or governing a design system, frontend platform, or shared component architecture.
Experience with modular frontend architecture in production, such as package encapsulation, Web Components, frontend islands, runtime composition, or an equivalent architecture.
Experience creating alignment without formal authority through clear written proposals and decision records.
Experience balancing user outcomes, delivery speed, technical health, and long-term platform investment.
Experience mentoring engineers and shaping standards through code review and documentation, including evaluating and improving artificial-intelligence-assisted or agentic engineering workflows.
Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL application programming interfaces; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; and observability tools such as Prometheus or Sentry.
About the team
On the Core DevOps team, we own core repository capabilities, from Git command-line operations to web-based code exploration. We develop new features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial-intelligence-assisted development tools.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Senior Frontend Engineer
An overview of this role
As a Senior Frontend Engineer, you'll solve high-scope frontend problems and influence your team's technical and product direction. You'll ship moderately sized features with minimal guidance, improve quality and performance, mentor other engineers, and help establish standards for a high-scale web environment. You'll partner across product, design, backend, and frontend to make sound trade-offs, communicate clearly, and improve how the team delivers software.
This is an opportunity to shape product experiences and frontend architecture for a global platform while helping define how modern frontend teams use agentic artificial intelligence. You'll apply artificial intelligence-assisted engineering workflows thoughtfully and help create trustworthy user experiences that incorporate artificial intelligence responsibly in a remote-first, asynchronous organization.
What you’ll do
Design and ship moderately sized frontend features and improvements with minimal guidance, making pragmatic architectural choices.
Turn ambiguous customer and product needs into clear technical plans and intuitive, accessible experiences.
Advocate for product quality, security, accessibility, performance, maintainability, and operational readiness throughout the development lifecycle.
Establish and improve practices for frontend architecture, styling, component design, testing, observability, maintainable code, and thoughtful use of artificial intelligence and agentic tools in production engineering work.
Mentor Associate and Intermediate Engineers, share knowledge, remove technical blockers, and improve team delivery practices.
Diagnose and prevent frontend performance and reliability issues at scale using observability and production signals, and participate in incident response or on-call responsibilities under your team's ownership model.
Design or review independently buildable frontend surfaces and explicit contracts for data, events, authorization, feature flags, error handling, testing, and performance expectations.
Collaborate with product, design, backend, quality, security, and other teams to deliver cohesive customer outcomes.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience applying frontend architecture, browser behavior, testing, accessibility, performance, and maintainability practices in a complex product or platform environment.
Experience designing or evolving modular frontend boundaries, independently buildable surfaces, component systems, or migration-safe architectures.
Experience making pragmatic trade-offs with product and design partners and turning complex requirements into clear user experiences.
The ability to lead through technical judgment, collaboration, and clear written communication rather than formal authority.
Experience mentoring engineers and improving team practices through code review, design review, documentation, or hands-on collaboration.
The ability to work effectively in a remote, asynchronous organization by managing priorities, creating clarity, and communicating decisions in writing.
Practical experience integrating artificial intelligence into a feature, workflow, or engineering process, or evaluating its reliability, security, privacy, and appropriate human oversight.
Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; Prometheus or Sentry; and Git, GitLab Runner, or GitLab continuous integration and continuous delivery.
About the team
We own core repository capabilities, from Git command-line operations to web-based code exploration. Our roadmap includes feature and platform development, improvements to existing capabilities, maintainability, accessibility, performance, and workflows for teams using AI-assisted development tools.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Задачи:
— Разработка backend на Python с использованием FastAPI: учет складских остатков, заказов, цен, отправок, интеграция с 1С и платежными системами.
— Создание админ-панели для менеджеров, личного кабинета клиентов и дашбордов для руководства на Vue 3 с Typescript.
— Разработка Telegram-ботов для приема заказов, уведомления о статусе грузов, отправки актуальных цен постоянным клиентам.
— Организация фоновых задач с помощью Celery и Redis: отчеты, синхронизация данных и цен, экспорт.
— Проектирование схем баз данных, написание корректных миграций и обеспечение стабильности системы.
Требования:
— Хорошее владение Python и FastAPI, коммерческий опыт от 2 лет.
— Знание SQLAlchemy ORM, миграций и принципов работы.
— Опыт проектирования схем баз данных MySQL/PostgreSQL, анализ индексов и медленных SQL-запросов.
— Владение Git: ветвление, code review, командная работа.
— Опыт работы с Celery и Redis, очередями и планировщиками задач.
— Базовые навыки работы с Docker: сборка, запуск, деплой.
— Опыт разработки production Telegram-ботов.
— Знание Linux и сетевых основ: SSH, Nginx, логи, базовые networking.
— Опыт работы с Vue 3, Typescript, Composition API, Pinia, Vue Router.
— Опыт работы с REST API.
Преимущества:
— Опыт с React Native и Expo для мобильных приложений.
— Опыт интеграции с 1С.
— Опыт работы с CI/CD, мониторингом и высокими нагрузками.
— Понимание сферы продаж, складов или логистики.
Условия:
— Рабочее время с 9:00 до 18:00.
— Зарплата 8 000 000 сум.
Location: San Francisco, CA | New York City, NY
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 the Role
Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial.
We’re looking for an experienced Incident Response Manager to own and evolve incident management within the privacy team. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from privacy incidents. These incidents involve personal data subject to GDPR, CCPA, HIPAA and similar laws, and to the contractual commitments Anthropic makes to its customers.
You’ll be the driving force behind maturing and scaling our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You will partner closely with Privacy Legal on notifiability and communications, and with the Privacy Program team on executive and board reporting; this role owns the engineering-side programme, its metrics and its follow-through.
You won’t just manage incidents: you’ll make sure we get meaningfully better after each one.
Key responsibilities
Own the end-to-end privacy incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking.
Serve as incident commander for privacy incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders.
Establish and run incident commander rotations within privacy, ensuring clear ownership and effective coordination during incidents of varying severity.
Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams, ensuring follow-through on both tactical fixes and strategic improvements.
Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable.
Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms.
Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization.
Partner with Privacy Legal on breach and notifiability assessments against regulatory timelines, coordinate customer and regulator communications when required, and keep privileged and non-privileged records appropriately separated.
Develop and maintain privacy incident response documentation, playbooks, runbooks, and training materials; keep them current as our products, data flows and obligations evolve.
Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for privacy events.
Define, develop, and track incident management KPIs and report regularly to leadership.
Support broad cross-functional training and initiatives to uplevel privacy awareness across the company (e.g. Tabletop exercises, training, talks).
Minimum qualifications
Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment.
Have a demonstrated track record of turning incident data into organizational improvements: not just writing post-mortems, but driving the cross-functional work to implement systemic fixes.
Are comfortable participating in on-call responsibilities and leading incident response during high-severity privacy events, including off-hours.
Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist.
Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop.
Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization.
Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations.
Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership.
Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information.
Preferred qualifications
Have 7+ years of experience in technical program management, incident management, or security/privacy operations, with significant time spent in an incident response context.
Are familiar with privacy regulation and breach-notification obligations (GDPR, CCPA, HIPAA or similar) and comfortable working with legal counsel under privilege, or have a legal background.
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$290,000
—
$365,000 USD
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: Australia
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Senior Manager, Detection Engineering & Threat Hunting
Location: Remote Australia
Compensation Range: $150,000 to $170,000 AUD base plus bonus and equity
What You’ll Do:
Members of the Huntress DE&TH team wake up every morning with the honor of impeding threat actors through a combination of detection engineering and threat hunting. This team sits alongside our 24x7 Security Operations Center, and our Adversary Tactics & Tactical Response function, and plays a pivotal role in detecting threats actors before they get a chance to impact our partner environments.
As a Senior Detection Engineering and Threat Hunting (DE&TH) Analyst you should be drawn to the hard problems: detecting stealthy intrusions, managing false positives and false negatives at scale, and uncovering clues that may expose an evolving campaign across Huntress partners. In this role you will turn threat intelligence, or a hypothesis, into detections that help the SOC find real intrusions faster. While the SOC is responding to alerts within minutes, this team is developing detections and reviewing more ambiguous signs of attacker activity on a daily & weekly basis.
On the Detection Engineering side of the role, you will play a part in designing, building, and maintaining a resilient, scalable, and high-fidelity detection portfolio that enables the SOC to rapidly identify and respond to adversary activity. This will involve working with engineering and other adjacent teams to achieve a shared goal across multiple domains which includes identities and endpoints.
On the Threat Hunting side of the role, you will get to research new attacker tradecraft, test new theories, and review hunting data at scale for millions of endpoints to proactively hunt for, and disrupt, stealthy threat actor techniques that evade initial defenses.
If you love Detection Engineering and Threat Hunting at scale, whilst in the environment and energy of a SOC, this is the role for you!
Responsibilities:
Contribute to all parts of the detection lifecycle by creating new rules, testing them before deployment, monitoring efficacy, and tuning, promoting, or retiring rules based on their performance.
Develop rules across a variety of Huntress products and operating systems such as: Identity Threat Detection and Response (ITDR), Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Windows, Linux, and MacOS.
Manage any DE&TH requests raised internally or escalated from our partners.
Undertake hypothesis-driven hunts across Huntress telemetry, prioritising techniques and tradecraft that may evade high-fidelity detections and initial SOC review.
Consume threat intelligence and translate IOCs, TTPs, and internal findings into new or refined detections through Git-based workflows.
Build and refine hunting dashboards or queries required to surface potential intrusions.
Review ambiguous signs of attacker activity across Huntress products, and surface likely intrusions that require deeper investigation.
Investigate or escalate likely intrusions identified to ensure partners receive clear incident reports with accurate advice.
Contribute findings to community-driven projects and create Huntress content such as blogs, social posts, videos, podcasts, and webinars.
Use AI-assisted workflows to prototype queries, enrich analysis, and develop a scaffolding for detection rules, ensuring you apply sound judgment to validate the AI output. We expect everyone at Huntress to be able to use AI as a real part of how they work, not occasionally, but genuinely embedded in core workflows.
What You Bring To The Team:
2+ years of experience in detection engineering, threat hunting, SOC, MDR, or incident response.
Intermediate knowledge of Windows internals.
Working knowledge of Linux, macOS, Microsoft 365, Azure, and Google Workspace.
Experience developing, testing, tuning, and documenting detections or analytics from threat intelligence, IOCs, hypotheses, or real-world investigations.
Ability to communicate findings through clear written reports.
Strong familiarity with detection languages such as Sigma, Suricata, Snort, or YARA, and query languages such as KQL, EQL, ES|QL, or Splunk SPL.
A sound understanding of adversary tradecraft, including techniques used for persistence, privilege escalation, defense impairment, lateral movement, discovery, and collection on a system.
A sound understanding of the roles different threat actors play and their associated goals, such as: initial access brokers, ransomware affiliates, and state-sponsored entities.
Ability to orchestrate reusable AI workflows that improve threat hunting, detection development, or analysis, and can verify AI-generated outputs before they reach production environments.
Bonus points for:
Intermediate knowledge of Linux and MacOS internals.
Hands-on experience using tools to remotely discover evidence of compromise such as OSquery, Velociraptor, and EDR/MDR/XDR platforms.
Previous use of forensic tooling such as Eric Zimmerman's EZ Tools, RegRipper, Hayabusa, or Chainsaw to analyze endpoint artifacts.
Intermediate malware analysis skills.
What We Offer:
Fully remote work
At least one annual trip to the US for Summer Summit, with additional local events in Australia!
New starter home office set up reimbursement ($800 AUD)
12 weeks paid parental leave for both primary and secondary carers
Monthly digital allowance for personal phone and internet costs ($185 AUD)
Monthly home office tech stipend to upgrade or replace equipment ($40 AUD)
Subsidised private health insurance through our preferred provider
Stock options for
all
full-time employees
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Singapore
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
What you will be doing
- Provide operational advisory on high-risk clients whether at onboarding, periodic reviews or on trigger event and deliver justified opinions and recommendations
- Investigate alerts reported to Compliance, draft STRs and ensure most risky clients are being monitored accordingly
- Proactively handle or participate with the development and update of the local compliance Framework (Policies, Procedures and Operating Memos)
- Provide quick and precise advisory to internal team inquiries on procedural applications
- Contribute to updating AML-CTF risk classification and assessing new products/activities
- Contribute to external reports due to regulators and internal reports to Senior Management
- Draft training material/presentations and run training sessions
- Perform regulatory watch and gap analysis between applicable regulations/sanctions and current framework and propose enhancements
- Handle or participate as Specialist Matter Expert (SME) in various ad hoc Group and APAC Compliance projects
About you
- Minimum 5 years of experience in a Compliance function in the banking or payments space
- Prior experience in Compliance Advisory is ideal, otherwise, a combination of 2LoD operations experience with exposure to investigations and audit handling is preferred
- Robust knowledge on Financial Security topics (KYC, AML/CFT, Sanctions, etc.) and other Compliance topics (Payments Services Act, Scheme Rules, etc)
- Previous project management experience on Compliance framework setups
- Demonstrate clear sense of accountability in performing the role and a positive approach (can-do attitude and solution oriented)
- Ability to identify inefficiencies, see the bigger picture, challenge current status quo and define scalable and sustainable processes
- Well organized self-starter, able to prioritize quickly and meet deadlines even under pressure
- Strong stakeholder management and communication skills
- Team player with strong collaborative qualities
- Willingness to learn continuously and keep up to date with Payment industry and Regulations (local and international)
- Strong spoken and written English
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it.
You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.
WHAT YOU'LL DO
- Own detection and response end to end: what we log, what we alert on, how we triage and how we recover
- Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume
- Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read
- Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit
- Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls
- Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one
- Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find
- Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team
- Participate in an on-call rotation for security incidents
WHAT YOU'LL NEED
- Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward
- Experience building and tuning detections in a modern SIEM, ideally managed as code
- Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs
- Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools
- Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity
- Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job
- Judgment about what to alert on, what to automate and when to wake someone up
EVEN BETTER IF YOU HAVE
- Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets
- Experience building detections or guardrails for AI agents, LLM tooling or MCP servers
- Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody
- Published open source detection content
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it.
This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production.
WHAT YOU'LL DO
- Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run
- Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass
- Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation
- Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them
- Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on
- Build guardrails for AI agents and developer tooling operating inside our infrastructure
- Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change
- Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off
WHAT YOU'LL NEED
- Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised
- Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work
- Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else
- Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts
- An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement
- Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job
- Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company
EVEN BETTER IF YOU HAVE
- Experience securing GPU or HPC-style compute, training pipelines or research environments
- Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar)
- Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries
- Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments
- Open source contributions or published work in cloud or Kubernetes security
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: San Francisco, CA
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 the role
The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own.
You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions.
Key Responsibilities:
Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time
Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on
Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites
Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks
Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form
Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly
Close out same-day executive requests quickly and to a high standard
You may be a good fit if you:
Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives
Structure ambiguous problems well and get to a clear recommendation
Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from
Write and speak clearly and briefly for executive audiences
Are as willing to maintain the tracker and chase the last open items as to write the strategy
Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate
Build trust quickly with senior people across the company who are short on time
Use AI tools as a core part of how you work
Care about Anthropic’s mission and about getting safe, useful AI to customers
Strong candidates may also have
Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success
Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date
Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review
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:
$190,000
—
$270,000 USD
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: Williston, United States
GoMining
is one of the largest Bitcoin mining ecosystems in the world, serving
millions of users globally. We run our own industrial-scale mining infrastructure
across the United States — a fleet of more than 80,000 machines — and we keep
expanding.
We're looking for an experienced ASIC Repair Engineer who can diagnose and repair
Bitcoin mining equipment at the component level, keeping that fleet running at
maximum uptime.
Relocation support available! We welcome candidates from across the U.S. and provide a relocation package for those moving closer to one of our data center locations.
Responsibilities
Diagnose and repair ASIC miners, including Bitmain and MicroBT equipment
Troubleshoot and repair hashboards, control boards and power circuits at
component level
Diagnose chip failures, voltage irregularities and board-level defects
Perform SMD and BGA soldering and component replacement
Configure, test and commission repaired equipment
Keep repair records, inventory updates and technical documentation
Work with site technicians and site management to keep fleet uptime high
Support preventive maintenance and hardware optimization
Requirements
3+ years repairing Bitcoin mining equipment at component level
Hands-on experience with Bitmain miners (S19 XP , S21, T21 or similar)
Hands-on experience with WhatsMiner equipment (M30++, M50 series or similar)
Strong understanding of ASIC miner architecture and diagnostics
Practical SMD and BGA soldering skills
Ability to read schematics and technical documentation
Solid knowledge of electronics, circuit design and power systems
Experience at a mining farm, service center or high-density data center is a strong plus
Benefits
Professional growth: support for courses, conferences.
Paid leave: up to 20 vacation days, 15 sick days, plus holidays.
Recognition programs: structured performance reviews and team awards.
401k benefits.
$108,000–$240,000 per year
A strong fixed base plus performance pay tied to the work you complete
Our engineers average around $180,000 a year that's the middle of the team, not the top of it. With a fleet this size, the bench is always full
Relocation package available
seniorWilliston, United States; Relocation support available!; We welcome candidates from across the U.S; and provide a relocation package for those moving closer to one of our data center locations; Relocation package available
Location: Pecos, United States
GoMining
is one of the largest Bitcoin mining ecosystems in the world, serving
millions of users globally. We run our own industrial-scale mining infrastructure
across the United States — a fleet of more than 80,000 machines — and we keep
expanding.
We're looking for an experienced ASIC Repair Engineer who can diagnose and repair
Bitcoin mining equipment at the component level, keeping that fleet running at
maximum uptime.
Relocation support available! We welcome candidates from across the U.S. and provide a relocation package for those moving closer to one of our data center locations.
Responsibilities
Diagnose and repair ASIC miners, including Bitmain and MicroBT equipment
Troubleshoot and repair hashboards, control boards and power circuits at
component level
Diagnose chip failures, voltage irregularities and board-level defects
Perform SMD and BGA soldering and component replacement
Configure, test and commission repaired equipment
Keep repair records, inventory updates and technical documentation
Work with site technicians and site management to keep fleet uptime high
Support preventive maintenance and hardware optimization
Requirements
3+ years repairing Bitcoin mining equipment at component level
Hands-on experience with Bitmain miners (S19 XP , S21, T21 or similar)
Hands-on experience with WhatsMiner equipment (M30++, M50 series or similar)
Strong understanding of ASIC miner architecture and diagnostics
Practical SMD and BGA soldering skills
Ability to read schematics and technical documentation
Solid knowledge of electronics, circuit design and power systems
Experience at a mining farm, service center or high-density data center is a strong plus
Benefits
Professional growth: support for courses, conferences.
Paid leave: up to 20 vacation days, 15 sick days, plus holidays.
Recognition programs: structured performance reviews and team awards.
401k benefits.
$108,000–$240,000 per year
A strong fixed base plus performance pay tied to the work you complete
Our engineers average around $180,000 a year that's the middle of the team, not the top of it. With a fleet this size, the bench is always full
Relocation package available
seniorPecos, United States; Relocation support available!; We welcome candidates from across the U.S; and provide a relocation package for those moving closer to one of our data center locations; Relocation package available
Location: Fountain Inn, United States
GoMining
is one of the largest Bitcoin mining ecosystems in the world, serving
millions of users globally. We run our own industrial-scale mining infrastructure
across the United States — a fleet of more than 80,000 machines — and we keep
expanding.
We're hiring a PSU Repair Engineer to diagnose and repair the power supplies that keep that fleet running.
Relocation support available! We welcome candidates from across the U.S. and provide a relocation package for those moving closer to one of our data center locations.
Responsibilities
Diagnose and repair power supply units used in Bitmain and MicroBT mining equipment boards
Perform component-level diagnostics on power supply circuits and electronic
Troubleshoot IC failures, voltage irregularities, short circuits and PCB-level faults
Perform SMD and BGA soldering, rework and component replacement
Repair and restore power circuits, control boards and other electronic assemblies
Configure, test and commission repaired equipment
Keep accurate repair records, inventory information and technical documentation
Work with technicians, engineers and site management to maximize fleet uptime
Support preventive maintenance and equipment optimization
Requirements
3+ years of hands-on component-level repair of Bitcoin mining equipment
Strong experience with Bitmain power supplies, including APW11, APW12 and APW17
Hands-on experience with MicroBT WhatsMiner equipment and power supplies
Strong understanding of PSU architecture, operating principles and diagnostic methods
Strong SMD and BGA soldering and rework skills
Ability to read schematics, board diagrams and datasheets
Solid knowledge of electronics, circuit design, power electronics and electrical systems
Previous experience at a mining facility , ASIC repair center or high-density data center is a significant advantage
Benefits
Professional growth: support for courses, conferences.
Paid leave: up to 20 vacation days, 15 sick days, plus holidays.
Recognition programs: structured performance reviews and team awards.
401k benefits.
$108,000–$240,000 per year
A strong fixed base plus performance pay tied to the work you complete
Our engineers average around $180,000 a year that's the middle of the team, not the top of it. With a fleet this size, the bench is always full
Relocation package available
Fountain Inn, United States; Relocation support available!; We welcome candidates from across the U.S; and provide a relocation package for those moving closer to one of our data center locations; Relocation package available
Location: Williston, United States
GoMining
is one of the largest Bitcoin mining ecosystems in the world, serving
millions of users globally. We run our own industrial-scale mining infrastructure
across the United States — a fleet of more than 80,000 machines — and we keep
expanding.
We're hiring a PSU Repair Engineer to diagnose and repair the power supplies that keep that fleet running.
Relocation support available! We welcome candidates from across the U.S. and provide a relocation package for those moving closer to one of our data center locations.
Responsibilities
Diagnose and repair power supply units used in Bitmain and MicroBT mining equipment boards
Perform component-level diagnostics on power supply circuits and electronic
Troubleshoot IC failures, voltage irregularities, short circuits and PCB-level faults
Perform SMD and BGA soldering, rework and component replacement
Repair and restore power circuits, control boards and other electronic assemblies
Configure, test and commission repaired equipment
Keep accurate repair records, inventory information and technical documentation
Work with technicians, engineers and site management to maximize fleet uptime
Support preventive maintenance and equipment optimization
Requirements
3+ years of hands-on component-level repair of Bitcoin mining equipment
Strong experience with Bitmain power supplies, including APW11, APW12 and APW17
Hands-on experience with MicroBT WhatsMiner equipment and power supplies
Strong understanding of PSU architecture, operating principles and diagnostic methods
Strong SMD and BGA soldering and rework skills
Ability to read schematics, board diagrams and datasheets
Solid knowledge of electronics, circuit design, power electronics and electrical systems
Previous experience at a mining facility , ASIC repair center or high-density data center is a significant advantage
Benefits
Professional growth: support for courses, conferences.
Paid leave: up to 20 vacation days, 15 sick days, plus holidays.
Recognition programs: structured performance reviews and team awards.
401k benefits.
$108,000–$240,000 per year
A strong fixed base plus performance pay tied to the work you complete
Our engineers average around $180,000 a year that's the middle of the team, not the top of it. With a fleet this size, the bench is always full
Relocation package available
Williston, United States; Relocation support available!; We welcome candidates from across the U.S; and provide a relocation package for those moving closer to one of our data center locations; Relocation package available
Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia
At GoMining, a General Manager is the end-to-end owner of a business direction, responsible for its strategy, P&L, product, team, and overall results. A GM combines business, product, and operational ownership — setting priorities, managing unit economics, driving execution, and making decisions based on data. The goal is to run the direction as a business and take full responsibility for its growth, profitability, and performance.
We are looking for a General Manager to own Custody & Compliance at GoMining — the business line responsible for how customers move funds into and out of our ecosystem safely, quickly, and reliably.
This is not a traditional compliance role. You will own the entire direction as a business and product — from custody infrastructure and KYC/AML to deposits, withdrawals, Travel Rule, fraud controls, provider relationships, and customer experience.
Your goal is to build a system where compliance protects the company without becoming an unnecessary barrier for legitimate customers.
You will own the strategy, economics, product roadmap, delivery, key metrics, and engineering team behind the direction.
Responsibilities
Business & Product Ownership
Own Custody & Compliance end-to-end, including strategy, roadmap, priorities, budget, and business results.
Define and track the key metrics for deposits, withdrawals, KYC, fraud, and customer activation.
Improve the speed and conversion of customer onboarding and money movement.
Balance risk prevention with customer experience and commercial impact.
Build financial and operational models and make decisions based on measurable business outcomes.
Work directly with C-level stakeholders on strategy and priorities.
Custody & Money Movement
Own custody infrastructure and relationships with custody providers.
Own deposit and withdrawal flows across the GoMining ecosystem.
Improve transaction processing speed, reliability, and success rates.
Identify bottlenecks and continuously improve the customer experience around money movement.
Manage incidents and critical issues related to customer funds.
KYC, AML & Travel Rule
Own the operational implementation of KYC, AML, and Travel Rule requirements.
Build scalable compliance operations, including case management, decision SLAs, escalation processes, and operational workflows.
Ensure compliance controls are effective without unnecessarily reducing conversion.
Continuously analyze false positives and missed fraud cases.
Work closely with Legal and Risk while maintaining ownership of the customer and business outcome.
Fraud & Risk
Develop fraud prevention guardrails across deposits, withdrawals, and customer verification.
Monitor fraud losses and false-positive rates.
Build data-driven approaches to identifying suspicious activity.
Ensure risk controls scale together with transaction volume.
Providers & Partnerships
Own relationships with custody, KYC, AML, and infrastructure providers.
Negotiate commercial and operational terms.
Reduce dependency on individual providers where appropriate.
Drive integrations together with engineering teams.
Hold providers accountable for agreed service levels.
Team & Delivery
Lead a dedicated engineering team and work directly with the Tech Lead.
Own priorities, backlog, releases, and delivery.
Set clear goals and measurable outcomes for the team.
Hire, develop, and make performance decisions when required.
Use AI and automation to keep the team lean and increase execution speed.
Requirements
Strong hands-on experience in crypto custody, payments, KYC/AML, or related financial infrastructure.
Experience owning custody and compliance processes in a crypto exchange, wallet, broker, crypto bank, BaaS, custody platform, or similar environment.
Practical experience with platforms such as Fireblocks, Copper, BitGo, Uphold, or similar.
Strong understanding of KYC, AML, Travel Rule, transaction monitoring, and fraud prevention.
Experience building operational compliance processes at scale.
Experience working directly with external providers and negotiating commercial terms.
Strong product and commercial mindset.
Ability to understand how compliance decisions affect conversion, revenue, and customer experience.
Strong analytical skills and comfort making decisions based on data.
Technical literacy and ability to work directly with engineers.
Experience managing teams and owning delivery.
Experience in crypto or fintech is highly preferred.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Location: United Arab Emirates
Paid Social Manager (Meta Ads) — Remote
About us
SF Marketing Agency is a performance marketing agency based in Dubai. We run paid social, automation and lead generation for B2B and B2C businesses (SMB and mid-market) in the UAE and English-speaking markets.
We're looking for someone who wants to work hard, learn fast and get very good at Meta Ads, inside a team that uses AI in its daily work.
What you'll do
Set up and launch Meta Ads (Facebook/Instagram) lead generation campaigns for agency clients
Run 5+ client ad accounts at the same time
Check ad accounts daily: budgets, statuses, policy flags and restrictions, account health
Manage and optimise live campaigns: test audiences, offers and creatives
Track and analyse CPL, CPQL (cost per qualified lead), CPA (cost per acquisition / order), CTR and CPM
Prepare performance reports for the internal team
Brief designers and copywriters on creatives, and edit or assemble simple creatives yourself
Use AI tools every day: creating and testing creatives, writing ad copy, analysing data, automating routine tasks
Set up Meta Pixel, Conversions API and UTM tracking
Requirements
English: Upper-Intermediate (B2) or above, written and spoken
2+ years of hands-on Meta Ads experience in lead generation (agency experience is a strong plus)
Case studies that prove your results: ad spend → leads → CPL/CPA
You've brought down CPL or CPA on live accounts, and your case studies show how
Experience running 5+ ad accounts at once
Hands-on setup of Meta Pixel, Conversions API and UTM tracking
Hands-on use of AI tools (ChatGPT, Claude or similar) for creatives, copy, analysis and automation
Design skills: comfortable in Canva, Figma or Photoshop, with a good eye. You can fix a creative yourself or give a designer clear feedback
Self-driven: you test ideas on your own and don't wait for instructions at every step
Nice to have
Google Ads or TikTok Ads
CRM tools (GoHighLevel or similar), GTM, GA4
Terms
Full-time, remote
Working hours overlap with Dubai (GMT+4): you must be based between GMT+1 and GMT+7
Pay: base from $1,200/month + performance bonus tied to client results (CPL/CPA targets) + quarter bonus for company targets.
Employment type and payment method: discussed individually
How to apply
Everything in English. Applications in any other language will not be reviewed.
Your CV
Your case studies (ad spend → leads → CPL/CPA)
A short note: why you, and which accounts you run now
УдалённоUnited Arab Emirates; Working hours overlap with Dubai (GMT+4): you must be based between GMT+1 and GMT+7
San Francisco, CA | New York City, NY | Seattle, WA
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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