Обязанности:
- Разрабатывать и внедрять ML-функции для платформы знакомств: рекомендации, поиск, безопасность и антифрод.
- Строить рекомендательные системы и модели совместимости пользователей для повышения качества мэтчинга.
- Разрабатывать NLP-решения для анализа анкет, извлечения структурированных признаков и семантического поиска.
- Реализовывать CV-модели для модерации контента, проверки подлинности фото и выявления AI-generated изображений.
- Создавать модели скоринга рисков, выявления ботов, фейков и мошеннической активности.
- Проектировать полный ML lifecycle: подготовка данных, обучение, оценка качества, деплой и мониторинг моделей.
- Работать в тесной связке с продуктом, backend-разработчиком и QA, участвуя в принятии ключевых технических решений.
Требования:
- Опыт работы ML Engineer от 3 лет и уверенное владение Python.
- Практический опыт вывода ML-моделей в продакшн и поддержки их жизненного цикла.
- Хорошее знание PyTorch или TensorFlow.
- Опыт работы с рекомендательными системами, ранжированием или персонализацией.
- Опыт решения NLP-задач: embeddings, классификация текста, semantic search, retrieval.
- Понимание MLOps-практик: versioning, monitoring, evaluation, CI/CD для моделей.
- Способность самостоятельно принимать технические решения и строить ML-направление практически с нуля.
Будет плюсом:
- Опыт в Computer Vision: модерация контента, face analysis, deepfake detection.
- Опыт создания антифрод- и риск-моделей.
- Опыт работы с LLM, RAG и современными open-source моделями.
- Опыт работы с векторным поиском (Qdrant, FAISS, Weaviate и др.).
- Опыт работы с графовыми моделями и рекомендательными системами.
Условия:
- Участие в развитии продукта с первых этапов;
- Возможность влиять на технические решения и архитектуру системы;
- Минимум бюрократии и быстрый цикл принятия решений;
- Сильную и мотивированную команду;
- Перспективы роста вместе с компанией;
- Удалённый формат работы.
Location: Remote - United States
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently.
You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday.
What you will do:
Design and implement scalable security controls across our cloud-native platform.
Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation.
Build secure by default infrastructure and code CI/CD pipelines.
Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows.
Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience.
Conduct threat modeling, risk analysis, and mitigation planning for critical systems.
Drive improvements in monitoring, detection, and incident response at the platform level.
Build, deploy and maintain relevant tooling.
About you:
8+ years of experience in infrastructure or platform security roles.
Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening.
Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security.
Skilled at balancing engineering realities with principled security practices.
Proven track record of shipping secure, resilient systems at scale.
Bonus if you:
Have built or scaled security automation pipelines.
Contributed to open-source security projects or tools.
Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP.
Hold a bachelors or masters degree in Cybersecurity or similar disciplines.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.
Disclosures:
Privacy:
Please review our
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Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote: United States; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
As a Software Engineer on Developer Velocity, you'll design and build the internal platform, tooling, and automation that lets every Render engineer move quickly and safely. You'll drive changes in our local development environments, CI/CD pipelines, test infrastructure, and the metrics we use to understand and improve how we ship. You'll work across the entire engineering org, identify where friction lives, and remove it, measurably.
WHAT YOU'LL DO
- Improve speed and reliability of early change feedback
- Invest in build and dependency tooling, caching, incremental builds, and monorepo ergonomics, to keep iteration tight as the codebase grows.
- Accelerate our CI/CD pipelines - cutting build, test, and deploy times while keeping the path to production safe and reversible.
- Make our test suites fast and trustworthy: parallelization, smart test selection, flaky-test detection, and better local/preview environments built on the same primitives our customers use.
- Design and build tools to support concurrent agent execution
- Make test feedback fast enough to live inside an agent's loop, where slow or flaky runs compound across every attempt.
- Get agents the right context (codebase conventions, service ownership, recent changes, environment state) so their first attempt lands closer to correct.
- Simplify and establish repeatable patterns
- Reduce toil through automation, paving over repetitive workflows and manual steps wherever they slow people down.
- Instrument the engineering org with meaningful signals (deployment frequency, lead time for changes, change failure rate, time to restore) and turn them into action.
- Build and participate in an on-call rotation as the team takes ownership of critical systems.
WHAT WE'RE LOOKING FOR
- Experience building and operating developer-facing tooling, CI/CD systems, or internal platforms that other engineers depend on every day.
- Experience driving cultural and process changes to make engineering teams more effective.
- Strong software engineering fundamentals and a track record of shipping, maintaining, and debugging production systems.
- Proficiency in Go (or a strong willingness to ramp quickly, it's our primary language).
- Hands-on experience with Kubernetes or similar container orchestration.
- Familiarity with infrastructure-as-code tools (yup, Terraform).
- A bias toward measurement: you instrument what you build and let data tell you whether you actually made things faster.
- You empathize deeply with engineers, fixing developer pain points in an elegant and sustainable manner is something that resonates deeply with you.
NICE-TO-HAVES
- Experience improving build systems, test infrastructure, or developer experience at meaningful scale - Bazel, Concourse, and GitHub workflows are old friends.
- Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry.
- Comfort working close to the metal - Linux, containers, kubernetes - you get your hands very dirty.
- Security-minded instincts, especially around supply chain and the path from commit to deploy.
- Understanding that the question isn't "AI pilled vs AI skeptic", but rather where to use it as an accelerant, and where human context must come first.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Задачи:
— Разработка и улучшение biometric и identity verification решений
— Создание production-level Computer Vision и ML-систем
— Разработка алгоритмов Face Verification, Liveness Detection, Anti-Spoofing и Deepfake Detection
— Оптимизация моделей для высоконагруженных систем
— Работа с большими датасетами и подготовка данных
— Внедрение современных исследований SOTA в production
— Разработка и поддержка полного ML/CV pipeline
— Участие в подготовке решений к международным сертификациям и тестированиям
— Работа над AI-продуктами для банков, финтех-компаний, криптоплатформ, телеком-операторов и государственных организаций
Требования:
— Опыт работы ML Engineer / Computer Vision Engineer от 3 лет
— Опыт работы с Face Biometrics, KYC, Identity Verification или Anti-Fraud решениями
— Глубокие знания Computer Vision и Deep Learning
— Уверенное владение Python
— Опыт работы с PyTorch и/или TensorFlow
— Опыт построения production-grade ML/CV систем
— Опыт работы с large-scale datasets
— Опыт оптимизации inference, latency и производительности моделей
— Понимание архитектуры enterprise biometric systems
— Английский язык на уровне B2
— Обязательное преимущество: Опыт подготовки решений к сертификации iBeta Level 2 или Опыт прохождения / участия в сертификации iBeta Level 2
Будет большим плюсом:
— Опыт работы в biometric, KYC или identity verification компаниях
— Участие в NIST FRVT Evaluations
— Опыт разработки Anti-Spoofing и Liveness Detection систем
— Опыт работы с Deepfake Detection
— Понимание международных biometric compliance и certification standards
— Опыт внедрения SOTA research papers в production
— Опыт teamleading
Условия:
— Работа в международной AI-компании
— Участие в разработке production-grade AI-продуктов для международных рынков
— Официальное трудоустройство по трудовому договору
— График 5/2, 8-часовой рабочий день
— Работа в офисе в Алматы
— Финальный оффер зависит от уровня экспертизы
— Возможность работать над сложными задачами в области Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention и Identity Verification
adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually.
The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference.
The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs.
Requirements:
— 3+ years in DevOps, SRE, or Platform Engineering.
— Experience designing and operating cloud infrastructure at scale.
— Hands-on experience deploying and managing containerized applications in Kubernetes.
— Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters.
— Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda.
— Infrastructure as code expertise with Terraform.
— Knowledge of tradeoffs between managed AWS services and open-source alternatives.
— Familiarity with microservice event-driven architecture, including topics, queues, and object storage.
— Ability to support backend teams building high-performance Go services in distributed environments.
— Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines.
— Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools.
Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team.
Benefits:
— Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily.
— Ownership of projects affecting 770 million users.
— Fast-paced environment with multiple daily solution deployments.
— Open problem solving and cross-team collaboration.
— Diverse global team from over 40 countries.
— Positive work culture celebrating wins and daily victories.
adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually.
The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference.
The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs.
Requirements:
— 3+ years in DevOps, SRE, or Platform Engineering.
— Experience designing and operating cloud infrastructure at scale.
— Hands-on experience deploying and managing containerized applications in Kubernetes.
— Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters.
— Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda.
— Infrastructure as code expertise with Terraform.
— Knowledge of tradeoffs between managed AWS services and open-source alternatives.
— Familiarity with microservice event-driven architecture, including topics, queues, and object storage.
— Ability to support backend teams building high-performance Go services in distributed environments.
— Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines.
— Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools.
Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team.
Benefits:
— Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily.
— Ownership of projects affecting 770 million users.
— Fast-paced environment with multiple daily solution deployments.
— Open problem solving and cross-team collaboration.
— Diverse global team from over 40 countries.
— Positive work culture celebrating wins and daily victories.
О КОМПАНИИ
Мы в EMCD развиваем глобальную crypto / fintech экосистему и сейчас усиливаем сразу два ключевых технологических направления:
• EMCD Mining Pool — инфраструктурный продукт для криптомайнинга (high-load real-time системы, хешрейт, выплаты).
• Coinhold / Wallet — кастодиальный кошелек для хранения и управления активами, объединяющий крипту, фиат, Web3-активы и AI-native финансовые сервисы.
Ищем двух сильных технических лидеров на роли:
1. CTO — CRYPTO MINING
Фокус роли:
• Техническая стратегия и архитектура Mining Pool;
• Развитие систем учета хешрейта, rewards, payouts и monitoring;
• Обеспечение надежности 24/7, высокой доступности и безопасности инфраструктуры;
• Управление инженерными командами и развитие инженерной культуры;
• Внедрение CI/CD, observability, incident management и RCA;
• Взаимодействие с product, security и platform командами.
Будет важно:
• Опыт CTO / Head of Engineering / Lead Architect от 3 лет;
• Опыт с high-load, distributed или real-time systems;
• Понимание mining pool mechanics или blockchain-систем;
• Сильная экспертиза в system design, reliability и observability;
• Опыт в crypto / Web3 / fintech будет плюсом.
2. CTO — CRYPTO WALLET PLATFORM
Фокус роли:
• End-to-end техническое видение и архитектура crypto-fiat wallet платформы;
• Масштабирование onboarding, payments, custody, swaps и Web3 assets;
• Внедрение AI в продукт: personalization, fraud detection, financial insights, support automation;
• Управление кросс-функциональными командами: backend, mobile, DevOps, data, security;
• Развитие интеграций с банками, PSP, blockchain networks и custodians;
• Обеспечение соответствия требованиям security, compliance, AML/KYC, PCI DSS, GDPR.
Будет важно:
• Опыт CTO / VP Engineering / Head of Engineering от 7 лет;
• Опыт создания и масштабирования fintech- или crypto-продуктов для большого количества пользователей;
• Сильный бэкграунд в distributed systems, payments или wallet infrastructure;
• Опыт с crypto custody, multi-chain systems и transaction flows;
• Опыт масштабирования engineering-команд от 20+ человек;
• Опыт вывода AI/ML-функций в production будет большим плюсом.
ЧТО ПРЕДЛАГАЕМ
• Высокий уровень автономии и прямое влияние на продукт и технологическую стратегию;
• Работа в быстрорастущей global crypto / fintech среде;
• 20 оплачиваемых отпускных дней + 12 дополнительных дней в год;
• 100% оплачиваемый больничный;
• Корпоративные преимущества: скидки на продукты EMCD, доступ к mining infrastructure.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
ABOUT THE ROLE
We’re looking for a Senior Infrastructure Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you’ll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month.
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position.
As an Senior Infrastructure Engineer you will:
- Own and evolve the cloud platform that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP.
- Help design and maintain our infrastructure-as-code foundation, evolving the patterns and shared components other teams build on.
- Design and maintain the networking layer that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments.
- Help make observability data the foundation of how we operate, improving the dashboards, alerts, and SLOs for the infrastructure you own so that issues are caught before customers notice, and on-call pages are actionable instead of noisy.
- Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation.
- Help define the culture of this growing team as it expands its international presence.
ABOUT YOU
You’ll thrive as a Senior Infrastructure Engineer if you:
- Have a background as an infrastructure, site reliability engineer or cloud engineer with an enthusiasm for automation and code, or a background as a software engineer with deep enthusiasm for cloud infrastructure and distributed systems.
- Have 5+ years of experience owning and operating cloud infrastructure in a customer-facing environment that allows for little to no downtime.
- Have deep hands-on experience with AWS and a strong opinion on what good cloud operations look like.
- Have experience managing Kubernetes clusters at scale, including upgrades, node group management, autoscaling, and cluster add-on lifecycle.
- Have experience with infrastructure-as-code tools like Pulumi or Terraform, and a strong preference for changes made through code, not consoles.
- Have experience navigating multi-region or multi-cloud environments on AWS or GCP.
- Stay curious and open to growth, demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
It would be a bonus if you had even one of the following:
- Experience with Karpenter, cluster autoscaler, or other Kubernetes-native scaling tooling.
- Have experience with OpenTelemetry, Datadog, Prometheus or Grafana
- Experience building AI-assisted infrastructure tooling, including cost optimization loops, anomaly detection, or policy-as-code with LLM assistance.
- Experience contributing to multi-region architecture including data residency, regional failover, or latency-based routing.
You Are:
- Collaborative: You possess a collaborative spirit, thriving when working with both your immediate team and cross-functional partners.
- Strategic thinker: You're a strategic thinker, adept at defining clear business needs and evaluating solutions to make informed build-versus-buy decisions.
- Comfortable with ambiguity: You navigate ambiguous situations with ease, gathering data and making progress even with incomplete information or unclear requirements.
If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT US:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE:
Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day.
We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role.
You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day.
WHAT YOU'LL ACHIEVE:
- Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS.
- Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS.
- Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools.
- Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift.
- Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection.
- Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse.
- Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream.
- Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.
SKILLS YOU NEED TO BRING:
- Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company.
- Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM).
- Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments.
- Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration.
- Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors.
- Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level.
- Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC.
NICE TO HAVES:
- Experience at a fast-growing tech or AI company where the security program had to outpace headcount.
- A background in IT engineering, SRE, or production engineering that transitioned into security engineering.
- Experience building internal security tooling or workflows that improved employee or developer experience.
- Contributions to the security community through open-source tools, blog posts, or conference talks.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma's Security team is growing, and we're looking for a Security Operations Manager to lead the strategy and execution of our security operations program. In this role, you'll build and scale the systems, processes, and tooling that help protect Figma and our community. You'll partner closely with Security Engineering, Platform Security, IT, GRC, and Legal to strengthen our detection and response capabilities, improve operational resilience, and help shape the future of our DART and SOC functions.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Own Figma's security monitoring and incident response program, from detection engineering through post-incident review and continuous improvement
Build and automate security operations workflows, including alert triage, enrichment, investigation, and response actions using SOAR and custom tooling
Develop and maintain incident response run books, escalation procedures, and communication plans for security events of varying severity
Lead incident response preparedness initiatives, including tabletop exercises, red team engagements, and response capability assessments
Improve the effectiveness of our SIEM and SOAR platforms by reducing noise, increasing signal fidelity, and closing detection coverage gaps
Build and operationalize threat intelligence capabilities to identify adversary behaviors, prioritize investments, and strengthen detection and response programs
Partner with Legal, Privacy, and Communications teams to support breach notification and regulatory response obligations during significant security incidents
Drive security operations strategy through vendor management, operational metrics, and cross-functional initiatives spanning IAM, vulnerability management, DLP, and exposure reduction
We'd love to hear from you if you have:
7+ years of experience in security operations, incident response, or a related security engineering function
Hands-on experience building and automating detection and response workflows using scripting, APIs, or security automation platforms
Deep expertise with SIEM and SOAR technologies in a cloud-native or SaaS environment
Demonstrated success building, scaling, or significantly improving a detection and response program
Experience leading complex security incidents and partnering with Legal, Privacy, and business stakeholders during high-impact events
While it's not required, it's an added plus if you also have:
Operated in a public company environment with SOX, ISO 27001, SOC 2, or FedRAMP requirements
Applied AI risk management frameworks such as NIST AI RMF, OECD AI Principles, or ISO 42001
Utilized AI-powered tools to automate security operations workflows and improve team efficiency
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$204,000
—
$317,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan
Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale.
The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support).
The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability.
Location:
This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations.
What your day will look like
Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels
Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures
Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance
Develop and maintain CI/CD pipelines for continuous kernel quality validation
Conduct performance benchmarking and regression detection across kernel releases
Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them
Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads
Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers
Collaborate regularly and proactively with a globally distributed team
Contribute to upstream test suites and testing frameworks
Document test methodologies, results, and coverage gaps
What we are looking for in you
Significant programming experience in Python
Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar
Experience designing and executing system-level tests: functional, stress, performance, or regression testing
Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar)
Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions
Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems
Experience with Linux systems administration and automation
Solid background with git
Well-organized, self-starting and able to deliver to fixed schedules
Professional written and spoken English with excellent communication skills
Ability to travel twice a year, for company events up to two weeks each
Additional skills that you might also bring
Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses)
Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage)
Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF)
Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow
Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing
Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation)
Experience with Ubuntu/Debian packaging or Snap
Knowledge of virtualization technologies (KVM, QEMU) and container runtimes
Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack)
Prior involvement with open source testing communities or projects
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Задачи:
— анализ банковских и крипто-транзакций для выявления мошенничества и AML-сценариев
— разработка и улучшение ML-моделей для fraud detection
— graph analysis / Graph ML (GNN, node embeddings, link prediction)
— вывод моделей в production
Требования:
— опыт работы с transactional fraud / AML от 5 лет
— strong Python + ML stack (PyTorch / TensorFlow)
— опыт с Graph ML / Neo4j / NetworkX / GNN
— production ML и ETL pipelines
Будет плюсом:
— MLOps
— ClickHouse / Elasticsearch / Cassandra
— опыт с real-time systems и асинхронным Python
Условия:
— релокация (Узбекистан / Дубай / ЕС) или B2B outside РФ/РБ/Украины
— зарплата в валюте
— relocation package
— международная русскоговорящая команда
— сложные ML/AI задачи и сильная technical culture
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
As a Sales Development Representative (SDR), you will focus on three core missions. One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance. Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals. By fulfilling our three core missions, you will contribute importantly to Grafana Labs’ community and business goals.
We understand that our commercial success is linked to our open source DNA and users’ success with our software. As such, we want team members who can effectively leverage this connection and help support the long-term health of our company.
In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone. You will need to know how to use AI as a tool to constantly improve your productivity.
This is a demanding and rewarding role. It is a fast-paced and challenging environment. While our company is growing sustainably, we still have a lot of building and improving to do. And we do this work together with our teammates from more than 15 different countries. We're looking for driven, humble, technically curious people who embrace a team-first attitude and demonstrate extreme ownership. This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry. You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible.
What You’ll Be Doing:
Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends
Follow up on inbound leads effectively and efficiently
Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone
Use Salesforce and Grafana dashboards for lead and account management and research
Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn
Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them
Consistently meet new business opportunity and pipeline targets
Collaborate with cross-functional teams such as marketing and sales to win as a team
What Makes You a Great Fit:
Fluent in English (written and spoken)
Open to feedback and coaching, always looking for ways to improve
Clear and concise written and verbal communication style
Excellent organizational skills and the ability to prioritize many tasks and demands
Willingness and ability to take on any task - no matter how small or big - with a focus on quality
Resourceful and proactive in an environment that is constantly evolving
Driven by purpose and by winning with a team-first attitude
Located in the Sweden
Bonus Points For:
Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things:
Would you be successful if you were part of our team?
Will you love working here and be a positive influence on your fellow colleagues?
Will you grow professionally and personally during your time here?
We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart.
During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained.
Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview.
Compensation & Rewards
In Sweden, the OTE (On-Target Earnings) compensation range for this role is 530,00 SEK - 564,000 SEK. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Netherlands (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
As a Sales Development Representative (SDR), you will focus on three core missions. One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance. Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals. By fulfilling our three core missions, you will contribute importantly to Grafana Labs’ community and business goals.
We understand that our commercial success is linked to our open source DNA and users’ success with our software. As such, we want team members who can effectively leverage this connection and help support the long-term health of our company.
In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone. You will need to know how to use AI as a tool to constantly improve your productivity.
This is a demanding and rewarding role. It is a fast-paced and challenging environment. While our company is growing sustainably, we still have a lot of building and improving to do. And we do this work together with our teammates from more than 15 different countries. We're looking for driven, humble, technically curious people who embrace a team-first attitude and demonstrate extreme ownership. This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry. You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible.
What You’ll Be Doing:
Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends
Follow up on inbound leads effectively and efficiently
Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone
Use Salesforce and Grafana dashboards for lead and account management and research
Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn
Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them
Consistently meet new business opportunity and pipeline targets
Collaborate with cross-functional teams such as marketing and sales to win as a team
What Makes You a Great Fit:
Fluent in English (written and spoken)
Open to feedback and coaching, always looking for ways to improve
Clear and concise written and verbal communication style
Excellent organizational skills and the ability to prioritize many tasks and demands
Willingness and ability to take on any task - no matter how small or big - with a focus on quality
Resourceful and proactive in an environment that is constantly evolving
Driven by purpose and by winning with a team-first attitude
Located in the Netherlands
Bonus Points For:
Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things:
Would you be successful if you were part of our team?
Will you love working here and be a positive influence on your fellow colleagues?
Will you grow professionally and personally during your time here?
We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart.
During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained.
Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview.
Compensation & Rewards
In the Netherlands, the OTE (On-Target Earnings) compensation range for this role is 58,750 EUR - 61,850 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Americas Remote
Hi, I'm Brian, Senior Director of Engineering at Customer.io. We're looking for experienced engineers who want to own a channel end to end — from the infrastructure that delivers billions of messages reliably, to the product surfaces our customers use to build, send, and analyze their campaigns. You'll work across the stack, bringing both systems thinking and product craft to one of the most technically rich problem spaces in the industry.
You don't need email experience to apply.
We can teach you the email domain. The engineers who thrive here are the ones who love learning a deep problem space, not only the ones who arrive already knowing it.
About Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive.
We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence.
What We Value
Ownership
You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again.
Engineers with product taste
You think like a user, not just an engineer. You care how your systems power real customer value — and how to make them better.
A healthy skepticism for "the way things are done"
You bring rigor and creativity. Best practices matter — but never more than forward motion.
What You'll Do
Build and evolve the frontend experiences customers use to create, preview, and analyze campaigns — editors, configuration, and analytics dashboards
Design and scale backend systems that process high volumes of messages and events: queue management, retry logic, rate limiting, and real-time event pipelines
Build automated systems that respond intelligently to feedback signals from external providers — classification, suppression, throttling, and health scoring
Partner with in-house domain experts to turn their knowledge into automated tooling — you bring the systems skills, they bring the email depth
Instrument and monitor channel health end to end: signal detection, anomaly alerting, and observability
Own problems end to end — from architecture and schema design to testing, deployment, and monitoring
Participate in an on-call rotation as required, supporting the reliability of the systems you build
Share knowledge and raise the bar through short videos, thoughtful writing, and mentorship
Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output
What We're Looking For
7+ years of experience building scalable, distributed systems in Go (or similar statically typed languages)
Experience building product-facing frontend features in React or similar frameworks, with attention to UX quality and polish
Experience building or consuming APIs that handle high-throughput async workloads — event streams, queues, and systems that degrade gracefully under load
Comfort integrating with external systems you don't control — third-party APIs, rate limits, opaque failure modes — and designing for resilience around them
Comfort working in cloud-native environments (AWS, GCP)
Familiarity with relational databases (we use MySQL primarily) and an understanding of performance tradeoffs
Experience with observability tooling and operating production systems
A bias for action over perfection, and pride in owning technical decisions
Nice to have:
Familiarity with email infrastructure — deliverability, authentication standards (SPF/DKIM/DMARC), sender reputation, or high-volume sending
Compensation & Benefits
We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave
,
unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions — just a clear, human process designed to help both of us make an informed decision.
Application — We review everyone with care. Tell us why you're interested.
Recruiter Call (30 mins) — Let's chat about what you're looking for and how we work.
Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise.
Technical Interview (60 mins) — A collaborative system design conversation focused on scaling challenges.
Take-Home Assignment — Complete a short, realistic task similar to what you'd work on here.
Assignment Review Call (60 mins) — Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate.
Project Deep Dive (60 minutes: A focused conversation on a technical project you've owned end-to-end, and how you balance planned work against urgent, customer-impacting issues.
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone — apply now.
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team.
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services
- Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates
QUALIFICATIONS
- 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on
- Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements within your team and adjacent systems
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; clear written communication is how you scale your work across the team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
ON-CALL
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
WHAT TO EXPECT
First 30 days
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
First 90 days
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction.
One year outlook
You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: 232,000 - 290,000
- Zone B: 217,600 - 272,000
- Zone C: 204,800 - 256,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 253,000 - 316,000
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director, Engineering
As a Senior Staff Machine Learning Scientist, you’ll:
- Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
- Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
- Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.
- Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.
- Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.
- Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.
- Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.
- Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.
ABOUT YOU:
Requirements:
- BA/BS degree or equivalent experience
You’ll thrive as a Senior Staff Machine Learning Scientist if you:
- Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.
- 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.
- Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.
- Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.
- Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
- Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
- Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
- Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
УдалённоRemote: United States; Remote: Canada
170 000 – 290 000 $
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
