About OkWhen
OkWhen builds technology that powers live, virtual, and hybrid events. Their platform supports conference management, registration, payments, mobile apps, content libraries, webinars, LMS functionality, CEU tracking, sponsor management, and operational workflows.
The Outcome We’re Hiring For
You will own meaningful parts of the application and consistently deliver reliable software without requiring constant supervision. You will improve system performance, reduce technical debt, and turn operational problems into simple, maintainable products. This role requires understanding the existing system, making sound technical decisions, and following work through from discovery to production.
Responsibilities:
— Design, build, test, deploy, and maintain production software
— Develop backend services and APIs using C# and ASP.NET/.NET
— Build and maintain web applications using Angular
— Design, optimize, and troubleshoot SQL Server databases and queries
— Maintain and extend mobile applications using .NET MAUI
— Investigate and resolve production issues
— Improve application reliability, performance, security, and observability
— Write automated tests and maintain technical documentation
— Participate in code reviews and establish engineering standards
— Collaborate with product, operations, and event-production teams
— Break ambiguous business problems into clear technical plans
— Use AI-assisted development tools responsibly to improve speed without sacrificing quality
Requirements:
— 7+ years of professional software development experience
— Strong commercial experience with C#, .NET, and ASP.NET Core
— Strong experience with Angular and TypeScript
— Advanced working knowledge of SQL Server, database design, and query optimization
— Production experience with .NET MAUI or Xamarin
— Experience designing and consuming REST APIs
— Experience with Git, CI/CD, debugging, and automated testing
— Demonstrated ability to work independently in an existing codebase
— Strong written and verbal communication
— Comfortable owning outcomes, not just completing assigned tasks
Preferred Qualifications:
— Experience with SaaS platforms
— Experience with event management, registration, payments, LMS, or communications systems
— Cloud experience with Azure or AWS
— Experience with distributed systems, queues, integrations, or real-time applications
— Experience modernizing legacy applications
— Experience mentoring other developers
Conditions:
— Health Care Plan (Medical, Dental & Vision)
— Retirement Plan (401k, IRA)
— Paid Time Off (Vacation, Sick & Public Holidays)
— Family Leave (Maternity, Paternity)
— Training & Development
— Work From Home
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role:
- Location: Hiring in San Francisco
We're looking for a Commercial Sales Director to lead and grow our commercial sales motion across the Eastern region. You'll build and develop a team of stellar account executives, and help the most ambitious engineering teams discover, evaluate, and adopt LangChain's products. This is a high-ownership role at a company where the sales motion is genuinely technical — our buyers are engineers and AI/ML teams, and the best person in this seat will earn their trust.
If you want real ownership over a region, a product that's solving a problem developers care deeply about, and the opportunity to work in a high-impact environment, we'd love to hear from you.
What you'll do:
- Own regional sales strategy: territory planning, pipeline health, deal execution across new and existing accounts
- Hire, develop, and retain high-performing AEs and build the kind of culture where great people want to stay
- Run reliable operating cadence: forecasting, pipeline inspection, deal reviews, and field execution
- Translate what you're hearing in the field (from buyers, partners, deals won, deals lost) into concrete input on product, pricing, and packaging
- Partner with Marketing, Sales Development, Deployed Engineers, Sales Operations, and Legal to run coordinated go-to-market motions
- Work with field marketing on in-person activities: executive dinners, regional events, on-site meetings that move deals forward and deepen relationships
- Build relationships with technical buyers (engineering leads, AI/ML teams, platform teams, CPOs, CTOs) as well as economic buyers (VPs, C-suite)
- Spot market opportunities early and move on them immediately.
HOW TO BE SUCCESSFUL IN THIS ROLE
- 5+ years of full cycle quota-carrying SaaS sales experience, with at least 1 year managing a team
- Consistent track record selling into the corporate, commercial, SMB, Mid-market, and Small-Enterprise segment.
- Comfortable selling into technical audiences — you don't need to write code, but you need to understand what developers care about and earn their trust
- Experience selling platforms, professional services, and broader organizational transformations, including work with SIs
- Clear, direct communicator. Equally effective with a technical buyers and executives.
On Target Earnings -$300,000 to $350,000 + Equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Задачи:
— Техническое лидерство и развитие системы 1С ЗУП;
— Формирование и сопровождение технического видения развития системы;
— Контроль архитектурной целостности системы и интеграционного ландшафта;
— Проработка и согласование технических решений совместно с командами разработки и смежными системами;
— Участие в анализе и декомпозиции бизнес-требований;
— Сопровождение полного цикла поставки изменений: от проработки до вывода в продуктив;
— Выявление и управление техническим долгом;
— Организация и развитие инженерных практик в командах 1С (code review, процессы разработки, качество поставки, релизный процесс);
— Координация разработки между несколькими командами и участниками процесса;
— Взаимодействие с бизнес-заказчиками, архитекторами и смежными ИТ-командами;
— Экспертная оценка вариантов развития системы и интеграций;
— Контроль актуальности технической документации по системе и интеграциям.
Требования:
— Уверенный опыт работы с 1С ЗУП;
— Опыт проектирования и развития сложных корпоративных систем;
— Понимание архитектуры интеграций и взаимодействия распределенных систем;
— Опыт технического лидерства команды, системы или направления;
— Умение принимать технические решения и аргументировать их;
— Понимание процессов разработки и сопровождения;
— Опыт выстраивания инженерных практик;
— Способность работать не только “в код”, но и в координацию людей и процессов;
— Навык общения с бизнесом и перевода бизнес-задач в технические решения;
— Хорошо развитые коммуникативные навыки.
Условия:
— Профессиональное развитие в команде экспертов, нетривиальные задачи, новый интересный опыт;
— Возможность работать в составе крупной компании, лидере страхового рынка;
— Полное соблюдение норм Трудового Кодекса РФ;
— Полностью "белая" конкурентная зарплата, премии;
— График работы 5/2, удаленный формат или гибридный график с офисом на ст. м. Киевская ;
— Корпоративные скидки на страховые продукты (автострахование, ВЗР и т.д.);
— Корпоративные скидки на фитнес, магазины-партнёры, книги и др.;
— Подключение к ДМС после успешного прохождения испытательного срока;
— Электронная библиотека с более чем 3000 книг на самые актуальные темы.
Москва
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Проект посвящен расчёту величины кредитного риска по кредитному портфелю требований к корпоративным заёмщикам и ценным бумагам Банка (Положение 483-П). Включает управленческую отчетность по RWA ПВР, факторный и портфельный анализ, оптимизацию RWA, а также расчет тестовых гипотез без отражения в отчётности Банка.
Задачи:
• Взаимодействовать с бизнес-заказчиками и уточнять требования;
• Проектировать целевые витрины (разрабатывать логическую и физическую структуру);
• Разрабатывать новые и дорабатывать текущие витрины данных в рамках перехода на ПВР;
• Внедрить промышленную базу (витрину) дефолтов с необходимыми атрибутами (дата дефолта, дата выздоровления и др.);
• Разрабатывать витрины с историческими данными и интегрировать их в процессы и потоки данных;
• Составлять детальную техническую документацию (FSD, Source2Target);
• Разрабатывать контроль качества данных;
• Проводить ПСИ витрин.
Требования:
• Высшее естественнонаучное, техническое или экономическое образование;
• Опыт работы на проектах внедрения/развития хранилищ данных (DWH) и/или Data Lake от 3 лет;
• Глубокое знание SQL (диалекты Oracle, PostgreSQL), написание сложных запросов, чтение PL/SQL-кода;
• Опыт проектирования объектов БД на всех слоях, понимание архитектуры DWH;
• Навыки описания потоков загрузки данных, составления технической документации (Source2Target, ТЗ, FSD);
• Опыт управления командой от 2 человек, выстраивание процессов, обучение и менторство;
• Опыт в согласовании FSD и проведении Code Review;
• Понимание целей проведения ПМИ и ПСИ, опыт работы с JIRA.
Будет плюсом:
• Знание принципов построения отчетности для регуляторов, понимание метрик PD, LGD, EAD, EL;
• Опыт работы с ETL-средствами (предпочтительно Informatica Power Center);
• Опыт работы в финтехе в команде DWH не менее 5 лет.
О проекте:
Мы строим Customer Intelligence & Personalization Platform для зарубежной экосистемы бизнесов.
Задачи:
— Принимать технические решения и самостоятельно реализовывать ключевые части платформы.
— Владеть архитектурой и развитием Data Core.
— Проектировать слои Bronze / Silver / Gold и модели данных.
— Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику.
— Строить pipelines от raw-данных до подготовленных data products.
— Разрабатывать трансформации на SQL / dbt / Python.
— Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality.
— Развивать data catalog и metadata-as-code подход.
— Проектировать data contracts и интеграции Data Core с другими компонентами.
— Переводить исследовательские решения и ручные процессы в production.
— Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами.
— Взаимодействовать с инженерами и data scientist в команде.
Требования:
— Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership.
— Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse.
— Знания Core banking / legacy banking systems.
— Опыт с Customer 360 / Golden Record / MDM.
— Сильный SQL и уверенный Python.
— Опыт работы с dbt или аналогичными transformation frameworks.
— Опыт работы с Airflow / Dagster / Prefect или аналогами.
— Хорошее понимание data modelling, historization, grain и master entities.
— Практический опыт data quality, lineage и metadata management.
— Знание Data Vault 2.0.
— Опыт работы с OpenMetadata или другими data catalog solutions.
— Умение самостоятельно принимать технические решения и отвечать за результат.
— Опыт работы с плохо документированными источниками.
— Навыки работы с Git, CI/CD, Docker, Linux.
— Практический AI-native способ разработки.
Условия:
— Оформление: ИП.
— Формат работы: полная занятость.
— Локация: Ереван либо готовность к регулярным командировкам (до 2 раз в месяц на несколько дней) в Ереван для работы с данными и специалистами заказчика.
— Уровень дохода обсуждается индивидуально.
About CircleCI Engineering:
CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work.
Team-Agnostic Placement:
Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship.
What You'll Do:
— Build AI-natively, using AI as the default approach to problem solving.
— Invent new interfaces for software delivery that support autonomous pipelines and human judgment.
— Own the full stack by building features end-to-end in Go, React, and TypeScript.
— Focus on reliability and responsiveness as design concerns.
— Champion observability using Honeycomb, Datadog, and Rollbar to improve systems.
— Proactively identify and close gaps without being asked.
What You'll Bring:
— AI-native engineering practices with daily use of AI tools and understanding of their impact.
— At least 3 years of production full-stack experience with a track record of shipping real products.
— Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration.
— System design skills with conscious tradeoffs and documentation.
— Production mindset focusing on latency, responsiveness, and reliability in distributed environments.
Additional Information:
The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.
Задачи:
— построить AI-стек для инженерии;
— внедрить AI-агентов, evals, AI code review и автоматизацию тестов/деплоя;
— ускорить разработку в 5 раз;
— выбирать AI-модели и инструменты;
— запускать MVP и масштабировать успешные решения на всю компанию.
Требования:
— 6–7+ лет коммерческой разработки;
— опыт масштабного внедрения AI в инженерные процессы;
— Claude Code, Cursor и аналогичные инструменты;
— опыт с AI-агентами;
— data-driven подход;
— английский B2+.
Условия:
— работа в международной B2C-компании в сфере развлечений;
— локация Кипр / UK, remote из Европы;
— full-time / contract;
— релокация и visa support.
Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Tabuk, Saudi Arabia
The Fire Safety Engineer is responsible for delivering technical fire and life safety engineering activities across KAUST under the direction of the Fire Safety Engineering Lead. The role supports KAUST's delegated Authority Having Jurisdiction (AHJ) governance framework by conducting technical reviews, field assessments, inspections, compliance verification, fire risk assessments, and technical investigations within approved KAUST procedures and delegated authorities. The role prepares technical recommendations for review and approval through the Lead, Fire Safety Engineer and the Health and Safety Manager, as applicable. The Fire Safety Engineer also supports compliance with Saudi Civil Defense requirements, Saudi Building Code (SBC), National Fire Protection Association (NFPA), International Fire Code (IFC), and KAUST requirements by maintaining audit-ready evidence, verifying fire protection system performance, supporting Civil Defense-related documentation and inspections where applicable, and escalating significant fire and life safety risks.
Responsibilities
Conduct fire and life safety engineering reviews, assessments, inspections, and field verifications.
Review fire safety requirements for new construction, renovations, research facilities, high-hazard areas, and fire protection systems.
Ensure compliance with SBC, NFPA, IFC, KAUST requirements, and Saudi Civil Defense requirements.
Conduct fire risk assessments, inspections, system verification, and compliance checks, and recommend corrective actions.
Review and maintain fire safety documentation, drawings, test certificates, inspection records, ITM records, and deficiency closure evidence.
Coordinate with Projects, Facilities, contractors, consultants, Fire & Emergency Services, and other stakeholders to resolve fire safety issues.
Provide technical assurance for Inspection, Testing & Maintenance (ITM) of fire protection systems and monitor corrective actions.
Participate in testing, commissioning, acceptance, and functional verification of fire alarms, suppression systems, smoke control, passive fire protection, fire doors, barriers, and egress systems.
Support investigations of fire incidents, unwanted alarms, system failures, and impairments, including root cause analysis and corrective actions.
Requirements
Bachelor's degree in Fire Engineering, Fire Protection Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline.
Minimum 6 years of professional experience in fire protection engineering, fire systems engineering, fire prevention, or fire & life safety compliance.
Experience with fire protection system inspection, testing, commissioning, and compliance.
Strong knowledge of SBC, NFPA, IFC, and preferably Saudi Civil Defense requirements.
Experience reviewing fire protection designs, technical drawings, specifications, inspection reports, testing documents, and compliance records.
Experience with deficiency management, corrective actions, and closeout.
Experience working in complex environments such as universities, research facilities, industrial facilities, healthcare, mixed-use communities, or large campuses.
Valid Saudi/GCC driver's license or valid driver's license as applicable.
Fire safety/protection certifications such as CFPS, CFPE, CFAITMS, CWBSP, NICET, IFE, or equivalent are preferred.
Задачи:
— Разработка высоконагруженных backend-сервисов и внутренних API на Go.
— Проектирование и развитие микросервисной и распределённой архитектуры: идемпотентность, консистентность, retries, deadlines, отказоустойчивость.
— Написание конкурентного кода на goroutines, channels и примитивах синхронизации.
— Проектирование REST/gRPC API и согласование контрактов с другими командами.
— Асинхронное взаимодействие сервисов через брокеры (Kafka, NATS, RabbitMQ).
— Работа с БД: проектирование схем, индексы, оптимизация запросов, транзакции; Redis для кэша и хранения.
— Профилирование и оптимизация: CPU, память, аллокации, GC, throughput и latency.
— Тестирование: unit- и integration-тесты.
— Docker и Kubernetes: деплой, ресурсы, health checks.
— Участие в построении CI/CD.
— Мониторинг, логирование, трейсинг, алерты и дашборды.
— Code review, участие в архитектурных решениях и техдизайне.
— Управление техдолгом и рефакторинг.
— Разбор production-инцидентов, повышение надёжности.
— Документирование технических решений.
Требования:
— Коммерческая разработка от 5 лет, из них опыт production-разработки на Go от 3-4 лет.
— Глубокое знание Go: goroutines, channels, примитивы синхронизации, паттерны конкурентности, memory model, GC, runtime.
— Опыт написания конкурентного кода без гонок данных.
— Умение профилировать и оптимизировать приложения с помощью pprof (CPU, память, аллокации).
— Опыт работы с generics.
— Понимание сетевого программирования.
— Опыт разработки высоконагруженных и распределённых систем.
— Опыт проектирования микросервисной архитектуры.
— Понимание event-driven архитектуры и асинхронного взаимодействия между сервисами.
— Сильные навыки System Design.
— Понимание принципов отказоустойчивости: retries, deadlines, идемпотентность, консистентность данных.
— Опыт проектирования и разработки HTTP / REST / gRPC API.
— Уверенное знание SQL и PostgreSQL или MySQL: сложные запросы, CTE, оконные функции, индексы, транзакции, оптимизация.
— Опыт работы с NoSQL-хранилищами.
— Практический опыт работы с Redis.
— Опыт работы с одним или несколькими брокерами сообщений: Kafka, NATS/JetStream, RabbitMQ.
— Опыт работы с Docker и Kubernetes: деплой, управление ресурсами, health checks, readiness/liveness probes.
— Опыт работы с Git и CI/CD (GitLab CI, GitHub Actions, TeamCity или аналоги).
— Хорошее понимание Linux, сетей и TCP/IP.
— Опыт написания unit- и integration-тестов.
— Опыт работы с мониторингом (Prometheus, Grafana), логированием и трейсингом.
— Опыт проведения code review и участия в принятии архитектурных решений.
— Умение документировать технические решения.
Будет плюсом:
— Опыт построения observability: OpenTelemetry, Jaeger, ELK.
— Опыт работы с CI/CD и GitOps: ArgoCD и аналоги.
— Опыт работы с распределёнными и NoSQL-базами данных: ClickHouse, MongoDB, YDB, CockroachDB.
— Опыт работы с IAM, OAuth2/OIDC, mTLS и безопасным межсервисным взаимодействием.
— Знание Python для скриптов, автоматизации и работы с legacy-кодом.
Условия:
— Поток действительно интересных проектов, релевантных твоему опыту и с учетом текущей загрузки.
— Формат работы 5/2, полная или частичная занятость.
— Оформление в удобном для тебя формате: ИП или самозанятость.
— Полная удаленка.
— Возможность менять проекты внутри компании — с учётом твоей экспертизы, интереса и текущей загрузки.
— Прозрачность условий и коммуникации, поддержка на всех этапах до выхода на проект и во время работы.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion.
Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage.
Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems.
Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion.
The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions.
Key responsibilities:
Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation
Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation)
Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building
Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when
Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced)
Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic
Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours')
Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules
Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy
You may be a good fit if you have:
Due to U.S. Government contract requirements, this position requires U.S. citizenship and an
active TS/SCI security clearance with a current full-scope polygraph
(a TS/SCI with CI polygraph may be considered where crossover is supportable)
Must have prior experience working with US national security
(defense and/or intelligence)
agencies
—ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators)
5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week
Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly
Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership
Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders
Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems
A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$350,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Развертывание и эксплуатация Bitcoin Core nodes.
— Построение отказоустойчивой инфраструктуры для backend-сервисов.
— Мониторинг состояния Bitcoin-нод и внутренних сервисов.
— Настройка metrics, logging, alerting и dashboards.
— Secrets management и безопасная работа с credentials.
— Backup и disaster recovery.
— Автоматизация deployment и infrastructure provisioning.
— CI/CD.
— Контроль доступов и сегментация инфраструктуры.
— Анализ и устранение production-инцидентов.
— Capacity planning и оптимизация ресурсов.
— Совместная работа с security engineer над hardening инфраструктуры.
Требования:
— Опыт DevOps/SRE в production-системах.
— Linux на уверенном уровне.
— Docker и контейнерная инфраструктура.
— Опыт с Kubernetes или аналогичными orchestration-платформами.
— Infrastructure as Code: Terraform, Ansible или аналоги.
— Опыт построения monitoring/alerting систем.
— Понимание сетей, firewall, TLS и управления доступом.
— Практический опыт secrets management.
— Опыт построения backup/recovery процессов.
— Умение расследовать production-инциденты.
Будет плюсом:
— Опыт эксплуатации Bitcoin Core nodes.
— Понимание Bitcoin P2P/networking.
— Опыт эксплуатации blockchain infrastructure.
— Опыт с security-sensitive или financial infrastructure.
— Опыт защиты публичных сервисов от DDoS/DoS.
— Опыт построения privacy-oriented инфраструктуры.
Что важно в этой роли:
Для проекта критична не только доступность сервисов, но и минимизация инфраструктурных рисков и утечек метаданных. Поэтому нам нужен инженер, который рассматривает security и privacy как часть инфраструктурной архитектуры, а не как отдельный этап после запуска.
Location: Remote; San Francisco; New York
Workplace: Remote
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.
Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:
- $10 billion+ generated by creators since Patreon's inception
- 100 million+ free memberships for fans who may not be ready to pay just yet, and
- 25 million+ paid memberships on Patreon today.
We are looking for a Senior Engineering Manager to lead the Infrastructure & Developer Productivity teams, which are responsible for Patreon’s core infrastructure, developer productivity, and AI enablement. The team’s mission is to keep Patreon's engineering org fast, and reliable, and ready for an AI-native way of building software.
This role location is open to fully Remote or to those who are able to be in-office 3 days per week on a hybrid work model in New York or San Francisco.
About the Team
You'll own the roadmap and execution across infrastructure and developer productivity. Balancing "keep the site up" reliability work with "make every engineer faster" investment — including Patreon's push to make AI-assisted development a durable part of how the org ships code.
About the Role
- Manage and grow ICs; own hiring, performance, and career development for your org.
- Own operational excellence: observability standards, on-call structure, incident response, SLAs/SLOs, and Production Readiness Reviews (PRR).
- Partner closely with Product Engineering, Security, and Data leaders so infrastructure and tooling decisions don't become a bottleneck for product delivery
- Drive the org's AI-enablement strategy — deciding where to standardize tooling/workflows and where to let teams choose their own path
About You
- Required:
- 10+ years of engineering experience, including 5+ years in engineering management, ideally with experience managing managers or senior ICs across multiple teams
- Direct experience leading infrastructure, platform, or developer-productivity teams supporting a consumer product at scale
- Familiarity with cloud infrastructure (AWS/GCP), Kubernetes, and infrastructure-as-code tooling
- Comfort operating scalable production systems with high availability and performance requirements
- Strong cross-functional partnership skills; you'll work daily with Product Engineering, Security, and Data leads
- Nice to Have
- Experience standing up or scaling developer tooling (CI/CD, testing platforms, internal dev environments)
- Exposure to AI-assisted software development. Direct experience rolling out AI coding tools/agents at an organizational level, including adoption metrics and guardrails.
About Patreon
Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:
- Put Creators First | They’re the reason we’re here. When creators win, we win.
- Build with Craft | We sign our name to every deliverable, just like the creators we serve.
- Make it Happen | We don’t quit. We learn and deliver.
- Win Together | We grow as individuals. We win as a team.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.
Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.
Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.
Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.
At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.
The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.
Patreon reserves the right to modify or update compensation and benefits at any time.
Задачи:
— Построение threat model для CoinJoin-протокола и всей системы.
— Анализ возможных атак на coordinator и участников протокола.
— Проектирование защиты от Sybil-атак и DoS.
— Анализ возможных утечек метаданных.
— Анализ privacy-свойств протокола.
— Аудит механизмов authentication, authorization и rate limiting.
— Анализ key-management архитектуры.
— Security review Bitcoin transaction flow.
— Code review критичных компонентов.
— Анализ attack surface backend и инфраструктуры.
— Подготовка рекомендаций по hardening.
— Участие в security testing и подготовке к внешним аудитам.
Требования:
— Опыт application security, protocol security или security engineering.
— Умение самостоятельно строить threat models.
— Хорошее понимание сетевой безопасности.
— Понимание DoS/DDoS и Sybil attack моделей.
— Опыт security review backend-систем.
— Понимание криптографических примитивов и digital signatures.
— Опыт анализа key-management систем.
— Умение проводить code review с точки зрения безопасности.
— Понимание рисков metadata leakage и privacy-sensitive систем.
Будет большим плюсом:
— Глубокое понимание Bitcoin protocol.
— Опыт security-аудита Bitcoin или других cryptocurrency-протоколов.
— Знание UTXO, PSBT, SegWit, Taproot и Bitcoin transaction signing.
— Опыт анализа CoinJoin или других privacy protocols.
— Понимание blockchain analysis и deanonymization techniques.
— Опыт аудита non-custodial систем.
— Практический опыт Rust/C++/Go.
Что важно в этой роли:
Security engineer должен оценивать не только классические уязвимости backend-приложения, но и экономические, протокольные и privacy-атаки. Для CoinJoin особенно важны поведение злонамеренных участников, Sybil/DoS, корреляция активности и возможные утечки метаданных.
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About Analytics at LawnStarter
The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts.
The Role
The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed.
Key differentiators of the role:
- First dedicated governance role, reshaping existing standards.
- Owns the data roadmap, discovering business needs and prioritizing work.
- Whole-stack ownership from source data to ML models.
- Leading the migration to Lightdash, setting up permissions and norms.
Responsibilities:
- Develop and manage the data roadmap balancing business needs and platform health.
- Automate monitoring of data quality and freshness, resolve incidents.
- Maintain data lineage and impact analysis to assess downstream effects of changes.
- Administer Lightdash workspace, permissions, and rollout.
- Extend and guard the semantic layer with governed metric definitions.
- Govern Segment event tracking catalog, standards, and drift detection.
- Ensure AI data readiness for internal AI tools querying the warehouse.
- Manage data security, privacy, access controls, and compliance with US state laws.
- Maintain governance documentation, ownership models, and review processes.
Challenges to solve:
- Convert business requests into a prioritized data roadmap.
- Ensure Lightdash migration improves platform usability without dashboard sprawl.
- Complete and maintain a trustworthy semantic layer.
- Manage event-tracking standards and prevent entropy.
- Proactively detect and prevent data pipeline breakages with automation and lineage.
Success metrics for year 1:
- Zero pipeline incidents from unannounced data changes.
- Zero freshness incidents; stakeholders never see stale dashboards.
- All business areas use official, well-maintained metrics and dashboards.
- Every Segment event has an owner and meets standards.
- Governance operates as a documented, sustainable system.
Requirements:
- Passion for data governance as a craft.
- Daily use of AI tools for automation, anomaly triage, and documentation.
- Hands-on manager who codes, debugs, and configures personally.
- Product-minded, able to translate vague requests into prioritized plans.
- Automation-first approach to quality checks.
- Ability to enforce standards with clear rules and good tooling.
Role exclusions:
- Not a large-team leadership role; starts solo with potential to hire one lead.
- Not a policy or committee role; hands-on fixing with code and conversations.
- Not a BI analyst role; focuses on platform and guardrails, not dashboard building.
- Not a mature system babysitting role; involves building and evolving the platform.
Technologies involved:
- Warehouse & pipelines: Redshift, dbt, Airflow
- Ingestion: Fivetran, custom Airflow pipelines
- Event tracking: Segment
- BI tools: Lightdash (primary), Tableau and Metabase (sunsetting)
- AI tooling: Claude Code, Codex, Brain (internal AI toolkit)
- Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection
Benefits:
- Base salary $75k-$120k/year
- Fully remote with asynchronous collaboration
- Flexible PTO
Equal employment opportunity statement included.
Задачи:
— Владение дорожной картой данных: выявление потребностей продукта, маркетинга, операций и финансов в данных, приоритизация задач с учетом состояния платформы и последовательное планирование инвестиций.
— Обеспечение качества и актуальности данных: автоматический мониторинг источников данных, конвейеров и отчетов, выявление изменений в схемах и источниках до возникновения проблем, управление инцидентами.
— Анализ происхождения данных и влияния изменений: создание живой карты от источника до отчетов, оценка влияния изменений на downstream компоненты до их внедрения, внедрение контрактов данных с инженерией.
— Администрирование Lightdash: настройка структуры рабочего пространства, прав доступа, обучение пользователей, поддержание порядка и производительности.
— Управление семантическим слоем: расширение и поддержка единого определения метрик, предотвращение неконтролируемого роста.
— Управление каталогом событий Segment: проверка новых событий на соответствие стандартам, поддержание соответствия с продакшеном, развитие правил и обнаружение отклонений.
— Обеспечение готовности данных для AI: контроль доступа AI-инструментов к данным, поддержание документации, консистентности и безопасности.
— Обеспечение безопасности и конфиденциальности данных: контроль доступа, обработка персональных данных в соответствии с законами штатов США, регулярные проверки.
— Поддержка системы управления: документация, модели владения и циклы обзора для устойчивой работы процессов.
Требования:
— Профессиональное отношение к управлению данными, стремление к поддержанию чистоты и надежности систем.
— Активное использование AI-инструментов для автоматизации проверок, обработки аномалий и документации.
— Практический опыт управления командой и самостоятельной работы с SQL, Airflow, настройкой прав доступа.
— Ориентация на продукт, умение превращать запросы бизнеса в приоритетный план.
— Стремление к автоматизации повторяющихся проверок.
— Умение устанавливать стандарты и добиваться их соблюдения с помощью инструментов и коммуникации.
Условия:
— Базовая зарплата $75,000-$120,000 в год.
— Полностью удаленная работа с асинхронным взаимодействием.
— Гибкий отпуск по результатам работы.
Описание роли:
— Первая позиция, посвященная управлению данными и их качеством в компании.
— Роль с полным владением цепочкой данных от источника до отчетов и моделей машинного обучения.
— Роль с практической деятельностью и последующим расширением команды.
— Не руководящая большая команда, а построение и развитие функции.
— Не роль BI-аналитика или политика, а инженерно-управленческая позиция.
Технологии:
— Хранилище и конвейеры: Redshift, dbt, Airflow.
— Интеграция данных: Fivetran, кастомные Airflow конвейеры.
— Отслеживание событий: Segment.
— BI-платформы: Lightdash (основная), Tableau и Metabase (выводятся).
— AI-инструменты: Claude Code, Codex, Brain (внутренний AI-инструмент).
— Наблюдение: AI-агент для мониторинга свежести, обнаружения аномалий и lineage dbt.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale.
You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows.
You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed.
Key Responsibilities
Shape the technical strategy and architecture for Anthropic's storage layers
Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls
Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives
Translate user needs into scalable, achievable system designs and drive alignment
Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it
Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed
Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives
Plan and lead large migrations of critical workloads with user minimal disruption
Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call
Stay hands-on in code and production, including in the most critical and complex areas
Minimum Qualifications
Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service.
Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations
Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on
Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java
Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency
Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sainte-Anne-de-Bellevue, Canada
Role overview:
Our client is seeking a
GNC
System Engineer
for design, integration, verification, and operational support of GNC subsystems for our current and next‑generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life‑cycle.
Tasks summary:
Architecture Concept & Requirements
Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements.
Produce System Requirements, Interface Control document (ICD), and Description Document.
Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Modelling & Trade‑Study
Conduct trade studies on sensor suites and actuator families.
Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins.
Algorithm Development
Design and implement attitude‑determination algorithms and orbit‑determination solutions.
Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms
Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench.
Cross‑Functional Coordination, Stakeholder & Program Interaction
Translate algorithms into FSW requirements running on real‑time operating systems.
Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC.
Present technical status, risk analyses, and trade‑study results to senior management.
Negotiate and maintain ICDs with subsystems.
Support B&P (Phase 0 & pre-phase A).
Hardware Selection & Design
Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures.
Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements.
Review harness routing and power distribution for GNC electronics.
Integration & Verification (IVV)
Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests.
Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences.
Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction.
Technical Leadership & Mentorship
Mentor, guide junior engineers and interns.
Act as technical liaison with customers, partners and external vendors
Act as Continuous Improvement stakeholder
Contribute to our client’s knowledge‑base, process enhancements, and standards.
Configuration, Documentation & Standards Management
Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation).
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
Support Technology Road‑Mapping & Innovation
On‑Orbit & Operations Support
Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.).
Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events.
Analyse on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms.
Orbital mechanics, attitude dynamics, and control‑law design (classical and modern optimal control).
Proficiency with navigation sensors and actuators.
Experience implementing real‑time filtering and control algorithms in embedded code
Strong understanding of aerospace system engineering fundamentals.
• Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
Experience with Confluence and JIRA.
• Demonstrated capability to efficiently work with little supervision.
• Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
• Demonstrate excellent written and verbal communications skills in English & French work environment.
Location: Paris, France
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!
As an Inside Sales Representative, you’ll play an important role in helping our existing customers scale while managing requests and closing deals from a large book of accounts. You’ll build a strong foundation of knowledge across our product platform and internal sales processes while partnering with Support, Order Management, and Marketing. You’ll also gain experience qualifying and routing inbound prospects to an aligned Account Executive. Ultimately, this experience will help you serve customers efficiently and support your own career development in Sales. As a founding member of this new team, you're adaptable and eager to contribute to how the strategy of this function evolves over time.
This is a full time role that can be held from our Paris Hub.
What you'll do at Figma:
Communicate with existing customer accounts through email, Zoom, and Ironclad about Figma’s platform and pricing
Close inbound sales requests for subscription expansions, including adding products or licenses, creating new instances, and upgrading to the Enterprise Plan
Manage inbound billing requests (such as processing renewals and changing payment term/method)
Close targeted outbound account renewals
Qualify and handle inbound sales requests
Partner with Marketing to run proactive campaigns that maximize expansion/retention across all products
We’d love to hear from you if you have:
Desire to build career in Sales - ultimately working towards Senior Inside Sales Representative and Account Executive roles at Figma
Strong technical aptitude with ability to learn new products, processes, and policies as we go
Collaboration across multiple teams (such as Sales, Support, Billing, and Marketing)
Inherent curiosity and commitment to ongoing learning, adaptable and comfortable navigating frequent change, and high achiever with a strong inner motivation to over-achieve
Fluent in English and French languages
While it’s not required, it’s an added plus if you also have:
B2B SaaS experience
Customer-facing Sales/Support experience
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.
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.
Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Tabuk, Saudi Arabia
УдалённоseniorГеография найма не уточнена
География найма не уточнена
УдалённоseniorRemote; San Francisco; New York; For remote employees located outside CA and NY, salary may vary based on location and local market conditions
