Вакансии

Задачи: тестирование мобильных и веб-приложений в нишах Lifestyle, Health и Utilities. Условия: удалённая работа, гибкий график.

Компания Patreon ищет старшего менеджера по инженерным вопросам для управления командами, занимающимися инфраструктурой и повышением продуктивности разработчиков. В этой роли необходимо координировать работу по созданию и поддержке масштабируемых систем, обеспечивающих стабильность и эффективность процессов разработки. Кандидат должен обладать опытом руководства техническими коллективами, глубокими знаниями в области инфраструктуры и инструментов для разработчиков, а также умением внедрять лучшие практики для улучшения рабочих процессов. Работа возможна удаленно или в гибридном формате в офисах в Нью-Йорке или Сан-Франциско.

Задачи: — Настройка и поддержка CI/CD pipelines — Автоматизация сборки, тестирования и развертывания приложений — Администрирование Linux-серверов — Работа с Docker и Kubernetes — Управление инфраструктурой через Terraform и Ansible — Мониторинг, логирование и настройка алертинга — Администрирование виртуальной инфраструктуры — Настройка и поддержка сетевой инфраструктуры — Настройка VPN, Reverse Proxy и балансировки нагрузки — Обеспечение стабильности и доступности инфраструктуры Требования / технологии: — Linux: Debian, Ubuntu, CentOS, RHEL — LVM, Git — CI/CD: Jenkins, GitLab CI, GitHub Actions — Docker, Kubernetes — Terraform, Ansible — Bash, Python — Prometheus, Grafana, ELK Stack, Zabbix — Kafka, RabbitMQ — Proxmox, VMware vSphere — TCP/IP, DNS, HTTP/HTTPS, TLS — Routing, NAT, Firewall, VLAN — MikroTik — VPN: IPsec, OpenVPN, WireGuard — Site-to-Site VPN — Reverse Proxy, Load Balancing — Понимание принципов сетевой сегментации

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a talented Mobile Engineer to join our engineering team. In this role, you will design, build, and maintain high-performance native iOS applications that power core user experiences. You will collaborate with cross-functional teams to solve technical challenges at scale, write resilient code, and help maintain high engineering standards. What You'll Be Doing Build & Scale Native Mobile Apps: Design, develop, and maintain modular, reliable native mobile features (iOS) used by millions of global users. Architect Core Systems: Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency. Collaborate Cross-Functionally: Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences. Ensure Quality & Rigor: Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring. Integrate AI Workflows: Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows. Modernize Engineering Tooling: Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds. What We Look For In You Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native iOS applications Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning. Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity. Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently. Nice-To-Haves Experience with CI/CD pipelines for mobile delivery (e.g., Fastlane, GitHub Actions, Xcode Cloud). Familiarity with analytics, feature flagging, and experimentation/A/B testing frameworks. Experience maintaining or contributing to shared mobile frameworks or design systems. Proficiency in speaking, reading and writing in both English and Mandarin to collaborate effectively with global and cross-functional team members. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Проектировать и разрабатывать масштабируемые ETL/ELT-процессы для загрузки и трансформации данных в корпоративное хранилище (DWH) на базе стека Oracle; — Писать и оптимизировать сложные запросы SQL и хранимые процедуры PL/SQL; — Участвовать в проектировании моделей данных (Data Vault, Star/Snowflake schema) совместно с архитекторами и аналитиками; — Обеспечивать качество данных (Data Quality), мониторить пайплайны и оперативно устранять инциденты; — Взаимодействовать с командами Data Science и BI-аналитиками для предоставления витрин данных. Требования: — Опыт работы в роли Data Engineer / ETL Developer / Oracle Developer от 3-х до 5 лет; — Глубокое знание экосистемы Oracle; — Отличное знание SQL и PL/SQL (умение писать и оптимизировать сложный код); — Понимание принципов построения хранилищ данных (DWH) и моделей данных; — Английский язык на уровне Upper-Intermediate (B2) и выше (рабочий язык в международной команде и для общения с заказчиком); — Готовность к релокации в г. Маскат, Оман и работе в офисе. Условия: — Локация: г. Маскат, Оман (офисный формат работы); — Длительность проекта: 7 месяцев; — Полное сопровождение релокации со стороны компании: оформление рабочей визы, медицинская страховка, оплачиваемый перелет и помощь с организацией переезда.

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. They are redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. Sezzle is building an innovative, dynamic team passionate about creating a unique shopping journey. About the Role: We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role offers an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join the Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle. What You'll Do: — Design A.I. systems from the ground up — Generate reliable and accurate training data for A.I. systems — Collaborate closely with engineers, data analysts, and business end users to build effective systems — Write accurate and efficient SQL queries What We Look For: — Proficiency in SQL and Python — Solid understanding of data analysis and database structures — Currently enrolled in a postsecondary institution studying MIS, Business Analytics/Data Analytics, Computer — Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. About You: — You have relentlessly high standards and continually raise the bar — You ensure defects do not get sent down the line and fix problems permanently — You are not bound by convention and enjoy developing new ways to do things — You value speed and calculated risk-taking in business decisions — You earn trust by listening attentively, speaking candidly, and treating others respectfully — You can respectfully challenge decisions when you disagree and commit once a decision is made — You focus on delivering key inputs with quality and timeliness, rising to occasions despite setbacks Interview Process: — Application submitted — Wonderlic test (30-40 min) — SQL and Python Questions (30 minutes) — Interview with recruiters (30 min) — Interview with engineers (1 hour) — Interview with engineering leadership (30-45 min) — Offer Sezzle’s Technology Stack: Languages: Golang, Typescript, Python Frontend: Typescript - React and React Native Backend: Golang Database: MySQL, Postgres, Elasticsearch DevOps & Cloud: AWS, Kubernetes Version Control: Git CI/CD: Gitlab Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

Задачи: — Design, build, and operate backend infrastructure for new DeFi protocols and vault products — Build vault management, curation, and constraint-based allocation systems — Build high-throughput blockchain indexers and data-ingestion pipelines — Design performant, stable, and well-documented APIs for applications and internal systems — Work with Quant Engineers to turn reviewed models into reliable production services — Work closely with smart contract engineers on systems that consume onchain state and submit onchain transactions — Take technical ownership of projects and help maintain a high engineering standard across the team Требования: — 5-8+ years of backend engineering experience, including ownership of production systems — Strong experience with Rust; experience with C++, Go, Zig, or another systems language can substitute — Experience building high-performance, data-intensive, or event-driven backend systems — Strong PostgreSQL knowledge — Experience with blockchain, DeFi, financial infrastructure, or another environment involving real capital — The ability to work independently in a high-autonomy environment — Strong judgment around correctness, reliability, and security

Nordomatic söker en Senior DevOps / Reliability Engineer för att stärka sitt team i Stockholm. Rollen innebär att arbeta med att utveckla och förbättra mjukvara som optimerar fastighetsförvaltning. Kandidaten förväntas ha erfarenhet av DevOps-principer och pålitlighetstekniker för att säkerställa stabila och effektiva system. Arbetet inkluderar att implementera och underhålla automatiserade processer, övervaka systemprestanda samt samarbeta med utvecklingsteam för att förbättra driftsäkerheten. Krav inkluderar gedigen kunskap inom relevanta teknologier och verktyg för kontinuerlig integration och leverans, samt förmåga att arbeta i en agil miljö. Positionen är baserad i Stockholm och erbjuder möjligheten att bidra till innovativa lösningar inom fastighetsautomation.

В компании Google открыта вакансия Engineering Manager для команды, занимающейся инструментами разработки в области искусственного интеллекта. Работа предполагает руководство инженерной группой, которая разрабатывает и поддерживает программные решения, связанные с AI. Кандидат должен обладать опытом управления командами разработчиков, глубокими знаниями в области программирования и технологий искусственного интеллекта, а также умением эффективно организовывать процессы разработки. Местом работы является Варшава, Польша.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Onchain Data Team The Onchain Data team builds the core data and technology infrastructure behind OKX Web3. We connect to diverse blockchain networks and collect, process, govern, interpret, and serve large-scale onchain data, delivering accurate, real-time, and reliable capabilities to Wallet, DEX, Explorer, Risk, CeFi, and AI products. Our scope includes, but is not limited to: Multi-chain data ingestion, parsing, computation, and unified data models; Data capabilities for onchain assets, transactions, addresses, tokens, contracts, and projects; Blockchain explorers, the Project Marketplace, Onchain Data APIs, bots, and agents; Labels, risk detection, risk-control data, and security investigation capabilities; DEX trending rankings, token scoring, and other onchain data products; Global multi-region deployment, high-availability architecture, performance optimization, and system reliability; Deep application of AI in engineering, data analysis, risk investigation, and intelligent operations. You will work on challenges involving heterogeneous chains, large-scale data, real-time computation, high concurrency, high availability, data accuracy, and complex cross-functional collaboration. Your work can directly improve user experience, asset security, and business growth. What You May Work On This is a broad hiring track rather than a single fixed role. Your responsibilities will be matched to your strengths, experience, and interests, and may include one or more of the following: Design, build, and evolve onchain data infrastructure, data services, or business systems, taking ownership of the quality and outcomes of critical modules. Build multi-chain ingestion, real-time and batch computation, data governance, search, storage, and serving capabilities, continuously improving data accuracy, completeness, and freshness. Contribute to blockchain explorers, the Project Marketplace, onchain assets, labels, risk control, DEX rankings, token scoring, and related platforms or products. Identify critical technical and business problems, make sound judgments, design solutions, coordinate resources, drive execution, and review outcomes. Build highly available, high-performance, scalable global systems, while continuously improving reliability, cost efficiency, delivery efficiency, and user experience. Use AI tools deeply and explore agents, intelligent investigation, engineering automation, and intelligent operations, turning successful practices into reusable team capabilities. Collaborate with product, data, security, algorithm, operations, and engineering teams to drive cross-functional initiatives to completion. What We Value Most Hunger — Curiosity and Drive You stay curious about AI, Web3, emerging technologies, and new business domains, and can learn unfamiliar areas quickly. You do not wait for instructions when facing a problem; you proactively understand the context, identify solutions, and drive execution. You go beyond completing assigned tasks and continue to ask about outcomes, user value, and opportunities for improvement. Cognition — Cognitive Ability and Judgment You can quickly understand complex technical and business problems, build a structured mental model, and identify the core issue and key trade-offs. When information is incomplete or the situation is uncertain, you can form sound judgments based on facts and logical reasoning. You can compare the value, cost, risk, and long-term impact of different options, clearly explain your rationale, and turn decisions into executable plans and results. What We Are Looking For Strong computer science fundamentals and coding ability in at least one mainstream programming language, such as Java, Go, Python, or C++. Clear logical thinking and strong problem decomposition skills, with the ability to independently solve complex technical or business problems. Hands-on experience in one or more of the following areas: Backend and distributed systems; Real-time or batch data processing, data platforms, search, and storage; High-concurrency, high-availability systems, and reliability engineering; Risk control, security, strategy, or data analysis; AI agents, LLM applications, or engineering productivity. A strong sense of ownership and accountability, with the ability to drive initiatives through to measurable outcomes. Open, direct, and effective communication, with a willingness to solve problems across teams. Strong learning ability and growth potential. We value solid engineering fundamentals, but do not use mastery of one specific framework or middleware stack as the sole hiring criterion. Preferred Qualifications Experience with Web3, public blockchains, onchain data, wallets, DEXs, blockchain explorers, or smart contracts. Familiarity with one or more blockchain technology models, such as EVM, UTXO, or Move. Experience with large-scale data processing, stream processing, databases, messaging systems, caching, or search systems. Experience in fintech, risk control, security, e-commerce, advertising, recommendation systems, or other complex internet businesses. Proven examples of using AI tools to solve real problems and turning solutions into engineered or scalable capabilities. Ability to work in English, or experience building global and multi-region systems. Demonstrated technical judgment, business impact, or zero-to-one ownership in previous projects. The Kind of Candidate We Hope to Meet You can clearly explain the most complex problem you have solved, how you formed your judgment, and how you drove the solution to completion. You have one or more clear strengths. We do not expect experience in every area, but we value meaningful depth or exceptional potential in at least one direction. You are willing to understand users and business context instead of passively receiving requirements. You are open to unfamiliar domains and can use AI and team collaboration to close knowledge gaps quickly. You remain constructive in changing or uncertain environments and can keep moving work forward. Why Join Us Build core onchain data infrastructure for OKX Web3, directly supporting global users and multiple strategic businesses. Work deeply with diverse blockchain technologies, onchain data systems, and real-world Web3 use cases. Solve challenging engineering problems involving large-scale data, real-time computation, high availability, and global deployment. Explore the intersection of AI and Onchain Data, applying frontier technologies to data, risk control, products, and engineering workflows. Own meaningful problem spaces with the autonomy to identify issues, make judgments, and drive outcomes end to end. Access career opportunities across Mainland China, Hong Kong SAR, and Singapore. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Наставничество и коучинг технической команды. — Поиск лучших способов решения технических проблем и проектирование решений, не боясь бросать вызов статус-кво. — Предоставление дорожной карты для внедрения практик разработки ПО для повышения качества кода. — Выявление узких мест в процессах разработки и деплоя. — Руководство проектами по планированию времени доставки, улучшению качества кода и эффективности процессов. — Реализация планов через стандартизацию кода и автоматизацию процессов. — Руководство развитием знаний по управлению конфигурациями платформ и устранению неполадок. — Ведение команды DevOps для предоставления последовательных и комплексных решений организации. — Сотрудничество с остальной командой DevOps для достижения единых решений. Требования: — Отличные навыки кодирования и скриптинга (Bash, Perl). — Опыт реализации масштабируемых облачных архитектур на современных облачных контейнерных платформах (PaaS/SaaS). — Знание облачной инфраструктуры (AWS, Azure) и инструментов управления кластерами, таких как Kubernetes. — Опыт работы с контейнерами (Docker, OpenShift) и инструментами CI (Jenkins, Hudson, Maven, Ant, Git, Sonar). — Опыт работы в Agile-разработке, предпочтительно с опытом архитектора решений или аналогичной роли. — Опыт работы DevOps или SRE лидером в кросс-функциональной Agile-команде. — Готовность пробовать новые решения вне стандартных. — Культура доверия, свободомыслия и полной прозрачности. — Смелость и готовность бросать вызов статус-кво. Условия: — Полная занятость. — Удалённая работа из Бриджтауна, Барбадос.

Задачи: — тестировать игру целиком: пройтись по всем экранам и механикам, сверить реализацию с GDD и Figma, проверить игровую логику, экономику, начисления, прогрессию, состояния и найти проблемы до того, как их найдут игроки — проверка реализации игровых фич по GDD/техническим требованиям — сверка экранов и интерфейсов с Figma: расположение элементов, состояния, тексты, размеры, адаптивность и визуальные расхождения — полное тестирование новых фич: happy path, негативные сценарии, edge cases, повторные действия, лимиты и нестандартные состояния — проверка игровой экономики: валюты, награды, начисления и списания, цены, лимиты, бусты, покупки, прогрессия и баланс — проверка игровых систем: уровни, задания, достижения, события, лидерборды, турниры, реферальные и бонусные механики и другие фичи — проверка корректности сохранения и синхронизации прогресса между клиентом и сервером — регрессионное тестирование после изменений и фиксов — составление понятных чек-листов и тест-кейсов без лишней бюрократии — качественные баг-репорты: шаги воспроизведения, expected / actual result, окружение, скрины, видео и другая необходимая информация Требования: — опыт ручного тестирования игр и понимание того, как правильно тестировать игровые механики и системы — умение самостоятельно разбираться в GDD, Figma и билде, проходить все сценарии и находить проблемы в логике, интерфейсе, экономике и взаимодействии систем — умение смотреть на игру глазами игрока и системно разбирать её как QA — желательно от 2 лет опыта в QA, важен опыт тестирования игр Будет плюсом: — работа с DevTools, логами и API — опыт с Postman, Swagger, Charles, WebSocket, SQL и другими QA-инструментами — опыт тестирования проектов на Unity и WebGL — опыт с Telegram Mini Apps, особенно тестирование игровых TMA-проектов, авторизации, платежей, внутриигровых начислений — опыт тестирования Android и iOS Условия: — формат работы: офис, гибрид или удалёнка — занятость: full-time — зарплата обсуждается по опыту

Задачи: — Проектировать, разрабатывать и оптимизировать графы знаний на базе Neo4j. — Разрабатывать решения Graph-RAG для задач поиска, извлечения информации и использования AI. — Проектировать модели графовых данных, связи между сущностями и общие модели данных. — Создавать и автоматизировать пайплайны для загрузки, трансформации и обработки данных. — Работать со структурированными и неструктурированными наборами данных, включая профилирование, сбор данных, валидацию и проверки качества. — Разрабатывать масштабируемые потоки обработки данных с использованием AWS-сервисов. — Работать с потоковыми данными и обработкой на базе Kafka. — Участвовать в развитии архитектуры, управляемой метаданными, каталогов данных и принципов Data Fabric. — Участвовать в автоматизации data pipelines и разработке пайплайнов на базе AI-агентов. Требования: — Сильный практический опыт работы с Neo4j, включая моделирование графовых данных и оптимизацию запросов. — Практический опыт проектирования и реализации решений Graph-RAG. — Сильные навыки разработки на Python. — Опыт работы со stream processing и Kafka. — Практический опыт работы с технологиями обработки данных в AWS, включая AWS Glue, Data Catalog, Data Lake/Lake Formation и связанные сервисы. — Глубокое понимание data pipelines, data modeling и data architecture. — Опыт обработки как структурированных, так и неструктурированных данных. Будет преимуществом: — Опыт работы с PostgreSQL. — Сильный опыт построения data pipelines на AWS. — Опыт работы с LangChain, CrewAI или аналогичными агентными фреймворками. — Опыт автоматизации data pipelines с использованием AI-агентов. — Знание распространенных моделей данных, metadata-driven processing и принципов Data Fabric. — Опыт интеграции Knowledge Graphs с решениями на базе RAG/LLM. Требования по доступности: — Возможность частично пересекаться с рабочими часами по тихоокеанскому времени США (US Pacific Time), включая доступность до 11:00 AM PT. Условия: — Возможности для профессионального и карьерного развития. — Поддержка в получении профессиональных сертификаций. — Программа менторства. — Медицинская страховка. — Участие в корпоративных мероприятиях. — Гибкие форматы работы (гибридный или удалённый). — Оплачиваемый отпуск и больничные.

Location: Remote - US About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, the team responsible for the foundational infrastructure our products and engineering teams depend on. Cloud Engineering owns LaunchDarkly’s AWS accounts and networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. The team is small, senior, and recently rebuilt. This is a frontline leadership role for a manager who treats operational health as a top priority, leads calmly through incidents, and creates leverage through software, automation, and reliable paved paths. In your first year, you’ll lead a marquee infrastructure insourcing program from planning through completion. The program’s cost savings will help fund additional team growth, giving you the opportunity to deliver meaningful business impact while strengthening the infrastructure behind LaunchDarkly’s next stage of scale. This role combines people leadership, operational ownership, and technical judgment. You do not need to be the most senior individual contributor in the room, but you should be comfortable partnering with experienced engineers, guiding tradeoffs, and creating an environment where the team can do its best work. Responsibilities: Lead and develop a senior Cloud Engineering team, providing clear expectations, coaching, feedback, performance management, and career-development support. Own the operational health of LaunchDarkly’s cloud infrastructure, including incident response, on-call health, service-level objectives, resilience, and disaster recovery. Launch and deliver a multi-quarter infrastructure insourcing program, including sequencing work, managing dependencies, communicating milestones, and ensuring a successful transition. Guide technical priorities and tradeoffs across AWS infrastructure, networking, multi-region Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. Build leverage through software, automation, and paved paths that help product engineering teams use infrastructure safely and independently. Support migrations by providing guidance, patterns, and enablement while maintaining clear ownership boundaries with partner teams. Establish team norms for effective AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. Partner with Service Frameworks, Core Platform, Revenue Platform, Data Platform, and product engineering teams on shared infrastructure priorities and cross-team dependencies. Communicate roadmaps, operational risks, investment needs, and progress clearly to engineering leadership and cross-functional stakeholders. Participate in hiring and team planning as the organization grows. Qualifications: 2+ years of experience managing an infrastructure, platform engineering, or site reliability engineering team at a product company, including people management of an on-call team. Demonstrated ownership of incident response, on-call health, and service-level objective frameworks for critical production systems. Experience leading at least one multi-quarter infrastructure migration or insourcing program from planning through completion. Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices, with the judgment to guide discussions and tradeoffs with senior engineers. Experience taking over an established team and maintaining engagement, performance, and retention through a leadership transition. A clear point of view on team norms and practices for AI-assisted engineering. Strong written and verbal communication skills, with the ability to explain technical and operational priorities to a range of audiences. A thoughtful, calm, and accountable leadership approach, particularly during incidents and periods of change. Nice to Haves Experience with vendor negotiations or cloud cost management. Experience supporting FedRAMP or other compliance-related infrastructure and operations. Experience operating large-scale datastores or OLAP systems. Experience growing a team through funded expansion. Pay: Target pay ranges based on Geographic Zones* for Level M2: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270** Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 10% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: India About the Job: As a Senior Sales Engineer , you will be the technical partner to Account Executives, helping LaunchDarkly land and expand enterprise customers across the Indian market. You will guide technical discovery, deliver compelling demonstrations, lead proof-of-value engagements, and help customers understand how LaunchDarkly enables safer, faster software delivery. This role combines deep technical expertise with strong business acumen and the ability to translate complex technology into real business outcomes. You’ll work closely with engineering leaders, architects, and DevOps teams at large enterprises to help them modernize their software delivery practices. Responsibilities: Partner with Sales to Win Enterprise Deals Work closely with Account Executives to qualify opportunities and develop technical account strategies. Help customers understand how feature management and progressive delivery can transform software delivery. Participate in complex enterprise sales cycles and help secure technical wins. Lead Technical Discovery and Solution Design Engage with engineering leaders, platform teams, and architects to understand their software delivery challenges. Design solutions that demonstrate how LaunchDarkly integrates into modern development environments. Align technical solutions with customer business objectives. Deliver High-Impact Demos and Proof of Value Conduct compelling product demonstrations that highlight real customer value. Lead technical evaluations including proof-of-concepts, workshops, and hands-on trials. Guide customers through the evaluation process and ensure successful outcomes. Build Champions and Trusted Relationships Develop strong relationships with both technical and business stakeholders. Enable customer champions who can advocate for LaunchDarkly internally. Support customers throughout the evaluation process and beyond. Be a Technical Thought Leader Stay up to date on trends in DevOps, CI/CD, feature management, AI-driven development, and modern software architecture. Confidently communicate technical and business value to a range of audiences from developers to executives. Collaborate Across Teams Partner with Sales, Customer Success, Product, and Engineering to ensure successful customer outcomes. Provide feedback from the field to help shape the product roadmap. About You: Customer-Focused You enjoy helping engineering teams solve complex problems and improve how they build and deliver software. Strong Communicator You can clearly articulate technical concepts and connect them to business outcomes. Entrepreneurial Mindset You are proactive, take ownership, and thrive in fast-moving environments. LaunchDarkly Values You embody the qualities of being humble, hungry, smart, and energetic, collaborating effectively with both customers and internal teams. Qualifications: 5+ years of experience in Sales Engineering, Solutions Engineering, or Technical Pre-Sales in enterprise SaaS. Experience working with enterprise development teams and technical stakeholders. Strong understanding of modern software development practices , including: CI/CD DevOps Infrastructure as code Feature flags and progressive delivery Proven ability to run technical demos, workshops, and proof-of-concept engagements . Excellent communication and presentation skills. Experience supporting complex enterprise sales cycles. (Preferred) Background in software engineering, DevOps, SRE, or platform engineering . (Preferred) Experience with cloud platforms such as AWS, Azure, or GCP . (Preferred) Familiarity with Kubernetes and microservices architectures . (Preferred) Programming experience in languages such as Java, Python, Go, Node.js, or .NET . (Preferred) Experience supporting enterprise deals in large organizations (F500 / G2000) . About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Canada (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. This is a remote opportunity and we would be interested in applicants from Canadian EST time zones only. Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 164,490 -  CAD 197,389 .  Actual compensation may vary based on level, experience, and skillset as assessed in 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the USA EST time zones only . Senior Software Engineer - Session Replay The Opportunity: The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong. Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues. This team works at the intersection of: frontend observability, backend data processing and storage at scale, debugging workflows across products, privacy and access control, performance and cost constraints at scale. Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Senior Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What You’ll Be Doing: As a Senior Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will: Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems Drive the evolution of our backend architecture, including: Designing systems around columnar/analytical data storage for large-scale session data Defining data models, ingestion pipelines, and query patterns Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud Make high-leverage architectural decisions that impact multiple teams and products Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences Engage directly with customers - joining calls, gathering structured feedback, and helping customers instrument and adopt Session Replay successfully. Improve engineering standards, patterns, and operational practices within the team Mentor engineers and help grow technical leadership within the team Technologies you'll work with: Go (backend services and APIs) Columnar/Analytical data storage (core data storage and querying) Object storage (S3, GCS, Azure Blob Storage) and MySQL TypeScript / React (user-facing workflows) Grafana ecosystem (Mimir, Loki, Tempo, etc.) We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: You are comfortable working in a remote-first company ; communication is key. For us, working together means being collaborative, friendly, kind, and respectful . We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English. Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs) You are comfortable owning features in ambiguous problem spaces . We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial. You have a good understanding of a software development process that takes a user-centered approach . You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value. You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation. You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: Experience with columnar/analytical databases Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.). Experience building debugging or developer-focused tools. Familiarity with privacy, security, and access control in data-heavy systems Experience working on performance-sensitive systems (large datasets, real-time queries, session data) Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 -  USD 185,334 .  Actual compensation may vary based on level, experience, and skillset as assessed in 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: USA - Remote Workplace: Remote 💫 This job description was written by a person ABOUT US Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE One of our values is “Build a house you want to live in.” In this metaphor, Close.com http://Close.com is the front door. Our website is where people learn about who we are, what we do and, even more importantly, it’s a critical touch point on their journey to becoming a Close customer. We’re dedicated to making it best-in-class. We’ve recently migrated from Webflow to our own codebase (Astro, Sanity, Vercel) so a new and improved foundation is in place. We believe building in-house gives us the flexibility, creativity, and speed to make our website a competitive advantage - this is where our first Sr. Frontend Engineer - Marketing comes in. As the technical owner of the website, you’ll be responsible for maintaining, optimizing, and instrumenting Close.com http://Close.com. You’ll work closely with Marketing, including a Marketing Designer, but report up through Engineering. YOU ARE - A marketing website engineer. You’ve built beautiful, conversion-focused websites for a while now - probably 5+ years. You may have worked in an agency, but you’ve also had to build, own, and collaborate on websites long-term - seeing your work through impact and likely many iterations. Motion, ambitious CSS, and rich media are second nature, and you sweat page speed and how the site reads to both search engines and AI agents as much as how cool it looks. A modern stack like Astro paired with a headless CMS (Sanity is ours) is familiar territory to you. - Fluent in measurement. The sites you build aren’t only beautiful, but they’re well-measured too. You understand cookies, conversion events, analytics, and experimentation tooling, and you've worked with tools like Segment, Amplitude, or Customer.io http://Customer.io. - Focused on conversion and fueled by impact. We’re primarily a self-service SMB business and that means that Close.com http://Close.com isn’t just a brand experience. It’s a critical part of our acquisition funnel. This means that your work will have a direct effect on some of our most important business metrics - traffic, conversion, revenue. You’re the type who finds this motivating and is eager to partner with Marketing and Growth to move these numbers. - Energized by empowering non-technical team members. You’ve built systems that allow Marketers or Designers to self-serve and solve problems quickly and independently. You’re comfortable thinking through guardrails, automations, and tooling. - Already building with AI. You use AI to move faster and empower your team but are equally discerning about which moments require craftsmanship and taste. - Resourceful and collaborative. You’ll bridge two teams (Marketing and Engineering) and will need to easily work with folks across departments and levels. No tweak or task is too small (or too big) for you to tackle. YOU WILL - Build and continuously improve a world-class marketing website. We want close.com http://close.com to be responsive, highly interactive, and polished. The kind of site that brings the product to life through animation and interactivity. You'll ship new pages and continue raising the bar on core site functionality. - Make the site fast and findable. You’ll own performance, technical SEO, and how the site shows up to search engines and AI agents. - Manage the infrastructure behind the site. The platform (Sanity), components, integrations, and deployment are for you to maintain and evolve. - Own the technical integrity of site measurement and partner on experiments. Make sure tracking, attribution, conversion events, and funnel data are implemented correctly and reliably flow into our marketing and data systems. - Build tools that let Marketing self-serve...and help the site self-improve. You’ll build automations and flows to help the team ship pages, campaigns, and experiments, but you’ll also help the website be a partner in its own development - be it catching regressions or flagging performance problems and SEO issues. The website of the future is a surface for collaboration between you, the marketing team, and AI agents. - Stretch beyond the site and act as an engineering resource to marketing. The website is your focus, but there’s a lot of work to be done! You’ll be a resource for solving tricky problems, across the website and in other areas of marketing - sometimes that means hopping in yourself, or just knowing when to loop in the right person. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.