Вакансии

В крупной промышленной группе в Киржаче Владимирской области требуется ведущий инженер-конструктор. Основные обязанности включают создание 3D-моделей и разработку конструкторской документации, работу с оборудованием для вентиляции и кондиционирования воздуха, таким как приточно-вытяжные установки (AHU), вентиляторы, противопожарное и теплообменное оборудование. Специалист будет заниматься улучшением конструкций с учётом производственных требований, участвовать в унификации деталей и оптимизации изделий. При необходимости потребуется координировать деятельность одного-двух инженеров-конструкторов. Кандидат должен иметь не менее трёх лет опыта в проектировании вентиляционного или климатического оборудования, хорошо разбираться в ЕСКД, ЕСТД, ГОСТ и СП, относящихся к вентиляции, а также уверенно владеть одной из CAD-систем: NX, Inventor, SolidWorks, КОМПАС-3D, Creo или CATIA.

- Предстоит разобраться, какую работу клиенты готовы доверить AI, каким должен быть результат и за что они готовы платить. А затем соединить качество технологии, удобный пользовательский опыт и устойчивую экономику.

Высшее техническое образование по специальности. Стаж работы в должности инженера АСУТП на производстве не менее 5 лет.

Location: Москва Команда занимается запуском, сопровождением и развитием автоматизированных систем трайба "Платежи", которые предоставляют клиентам возможность осуществлять платежи через различные каналы обслуживания. Мы ищем человека, который будет обеспечивать доступность и бесперебойную работу данных каналов. Обязанности * обеспечение бесперебойного функционирования АС класса MC/MC+ * мониторинг сопровождаемых систем, решение инцидентов * проведение внедрений релизов, участие в проведении приемо-сдаточных испытаний * повышение отказоустойчивости и надежности АС, автоматизация типовых задач. Требования * опыт администрирования приложений-контейнеров (OpenShift,DropApp), приложений-брокеров (kafka) от 1 года * опыт базового администрирование СУБД Pangolin, Linux, шлюза SOWA * представление об архитектурах приложений, интеграционных взаимодействиях, шлюзовых решениях * навыки работы с SQL _Будет плюсом:_ * имеете опыт сопровождения автоматизированных систем банка * имеете опыт работы системным аналитиком * работали с инструментами мониторинга (АС Тенги,АС Metrics,Grafana и др) * работали с инструментами DevOps: Git, BitBucket, Jenkins, ArgoCD * навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использования их в работе * опыт использования GigaChat, Kandinsky и аналогов впродуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы по адресу Кутузовский проспект 32к1 * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Владивосток Команда занимается сопровождением АС Единый Аудит.  АС обеспечивает получение и централизованное хранение событий аудита от всех АС Банка * основой АС является hadoop хранилище на несколько десятков петабайт, состоящее из 300+ серверов в каждом из плечей * решение относится к классу высоконагруженных (хайлоад), общий поток до 10 миллиардов событий в сутки, пиковый поток до 150k tps * система уровня критичности MC+ Обязанности * выполнение регламентных работ * контроль состояния компонентов системы * восстановление работоспособности, работа с инцидентами и проблемами; * установка релизов (участие в ИФТ, НТ и ПСИ) * участие в проведении аварийных учений. Требования * опыт работы с операционными системами Linux (уровень опытного пользователя) * базовые знания по сетевым технологиям (понимание общих принципов работы сетей TCP/IP) * понимание принципов работы систем виртуализации\\контейнеризации * понимание принципов реляционных СУБД * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Будем плюсом: * опыт работы с контейнерной изоляцией (Docker, Kubernetes, OpenShift) * навыки работы с СУБД PostgreSQL * опыт администрирования nginx и серверов очередей (kafka) * навыки работы с любой из следующих систем мониторинга Zabbix\\Prometheus и Grafana * опыт работы с инструментами Jenkins, Git, Github\\Bitbucket * умение писать простые SQL запросы * технический английский (чтение документации), опыт подготовки эксплуатационных документов. Условия * работа по адресу Фонтанная 3 * график работы 5/2 с 9.00 до 18.00 (по договоренности возможно временное смещение в сторону часовых поясов Москвы) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Для нового медиапроекта ищу активного, общительного человека, который умеет слушать, задавать хорошие вопросы и раскрывать собеседника. Задачи: • проводить короткие ознакомительные созвоны; • готовить план интервью; • вести голосовые онлайн-встречи; • записывать интервью; • помогать с графиком и организацией записей. Требования: • грамотная речь; • уверенное общение; • любопытство к людям; • умение импровизировать; • опыт в журналистике, подкастах, радио или интервью — плюс; • профильное образование необязательно. Условия: • удалённая работа; • оплата обсуждается индивидуально / за выпуск.

FNZ is looking for Finance Systems Functional Leads to own D365 finance functionality, platform support and continuous improvement.

Mistral is looking for an Applied AI Technical Lead Forward Deployed AI Engineer to lead enterprise AI solution delivery and customer deployments.

Задачи: — Управление налоговым соответствием — Усиление операционного контроля — Подготовка бизнеса к аудитам и проверкам

Mistral is looking for an Engineering Team Lead Serverless Containers to lead the team building and operating the serverless container platform.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Monterrey, Mexico; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Senior AI Lead who will act as the primary AI consultant within the organization and help shape the vision, roadmap, and execution of AI initiatives. You will work across stakeholders and delivery teams to guide responsible AI adoption and establish a sustainable AI practice. The AI Practice is focused on building a sustainable AI capability within an enterprise environment and connecting AI initiatives to measurable business impact. It covers strategy, roadmap planning, solution delivery, governance, and adoption enablement across business units. Serve as the primary AI consultant within the organization to identify opportunities for AI driven innovation Develop and drive the AI strategy aligned with business goals Lead the assessment prioritization and roadmap planning of AI initiatives across business units Collaborate with product owners data scientists engineers and business stakeholders to scope design and deliver AI solutions Provide guidance on AI technologies frameworks and architectures including LLMs RAG AI agents prompt engineering and MLOps pipelines Ensure AI projects align with business objectives maintain technical quality and follow ethical AI principles Mentor AI team members to build internal capabilities and support knowledge sharing Track AI trends tools and emerging technologies to support continuous improvement and innovation Manage stakeholder expectations and communicate roadmap progress benefits risks and delivery outcomes Champion AI adoption through workshops demos and enablement sessions Define and track KPIs adoption metrics and ROI frameworks for AI initiatives Establish AI governance frameworks usage policies and guardrails for responsible AI adoption Guide the evolution toward an Agentic SDLC model across software development workflows Drive change management activities to support AI augmented and agent orchestrated ways of working 7+ years of experience in AI consulting solution architecture or related roles with leadership responsibilities Experience with AI and ML technologies including LLMs NLP computer vision conversational AI RAG architectures and MLOps Experience driving AI initiatives from ideation through design and implementation in enterprise environments Experience working with clients and executive leadership to translate business needs into AI solutions Hands on collaboration experience with development teams and data scientists across the AI and ML toolchain including Python PyTorch TensorFlow Jupyter Git and CI/CD pipelines Understanding of AI ethics data privacy and responsible AI principles Experience designing and delivering AI training enablement programs or internal advocacy initiatives that drive measurable adoption Familiarity with AI governance frameworks and organizational policy development for responsible AI use Understanding of Agentic SDLC methodologies and AI native delivery practices Advanced degree in Computer Science AI Data Science or a related field or equivalent professional experience Experience with cloud AI platforms such as AWS SageMaker Bedrock and Amazon Q Developer Experience with cloud AI platforms such as Azure OpenAI Service Azure AI Studio and Cognitive Services Experience with cloud AI platforms such as Google Cloud Vertex AI Gemini API and Document AI Experience with AI lifecycle management and MLOps platforms such as MLflow Kubeflow Weights & Biases and SageMaker Pipelines Experience with AI orchestration and agent frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel and Haystack Familiarity with vector databases and retrieval infrastructure such as Pinecone Weaviate Chroma Qdrant pgvector and Elasticsearch with kNN

Location: Warsaw, Poland; Pakistan; Bulgaria Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform. What You Will Do Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team. Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices. Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience. Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience. Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality. Investigate and promptly address bugs to uphold platform reliability. Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations. Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative. Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows. Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives. What We Need Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications. Minimum 2 years in a lead/manager role, able to guide and ensure development of teams Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here International Environment Competitive remuneration package 15 Days Annual Leave Annual Performance Bonus Stock Options after 6 months Company activities and events CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Опыт в DevOps: Опыт работы от 2–3 лет в эксплуатации высоконагруженных (Highload) распределенных ИТ-систем. Поддержание надежности (SRE): Обеспечение отказоустойчивости (High Availability) сквозных потоков данных (Data Flow) от распределенных систем банка до целевых хранилищ платформы мониторинга.

Мы ищем специалиста, который возьмёт на себя digital-направление компании: сайты, поиск и GEO, рекламу, продвижение на площадках клиентов и отзывы. Стратегия и планирование.

Разработка нового функционала по требованиям бизнеса на платформе 1С; Поддержка существующего функционала уровень L3 – не более 25%;

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Los Angeles, CA or Remote Workplace: onsite Role Description Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.  This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline. You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.  We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it. What You'll Own: Inbound Growth & Demand Own performance across the inbound marketing funnel, from acquisition through qualified opportunity. Understand how prospects discover, engage with, convert through, and progress across marketing channels. Identify gaps, friction, and growth opportunities throughout the buyer journey. Partner with the Director of Marketing to connect organic visibility to measurable business outcomes. Develop a holistic view of inbound performance across all three brands. Paid Acquisition & Performance Marketing Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels. Manage and optimize paid marketing budgets. Determine where investment should increase, decrease, or be tested based on performance. Develop audience, offer, channel, and campaign testing strategies. Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume. Manage paid media agencies, freelancers, and specialized partners. Campaign Activation & Distribution Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs. Develop distribution and amplification plans around major campaigns and content. Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies. Ensure campaigns have clear paths from awareness and engagement to conversion. Find opportunities to extend the reach, performance, and business value of existing content and creativity. Conversion Rate Optimization Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths. Partner with the Director of Marketing and creative resources on messaging and creative variations. Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices. Retargeting, Lifecycle & Lead Nurture Develop strategies for continuing to engage prospects after their initial interaction. Build retargeting audiences and programs across relevant channels. Develop lifecycle segmentation and nurture strategies. Partner with fractional Marketing Operations support on automation and technical implementation. Improve progression from initial engagement to qualified opportunity. AI-Native Marketing & Execution Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant. Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting. Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis. Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution. Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves. Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations. Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable. Growth Experimentation Maintain a prioritized growth experimentation roadmap. Move quickly from hypothesis to execution Scale what works and stop what doesn't. Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned. Performance Analytics & Attribution Connect marketing activities to measurable business outcomes. Understand performance across visitor → lead → qualified lead → opportunity → pipeline. Establish KPIs for campaigns and acquisition programs. Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI. Turn performance data into recommendations and actions, not simply dashboards. Help leadership understand what's working, what's not, why, and what Marketing should do next. Partnership With the Director of Marketing This is designed to be a close counterpart relationship between two distinct areas of marketing expertise. The Director of Marketing owns the market-facing strategy : overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV. The Growth Marketing Lead owns the performance engine : acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement. You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning. At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy. Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes. Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating. Fractional Marketing Operations Partnership The Growth Marketing Lead will work closely with a fractional/retained Marketing Operations resource who can support the technical infrastructure required to run and measure the growth engine. This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure. You don't need to personally administer every system. You do need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions. You will effectively serve as the business owner of marketing performance , with specialized Marketing Operations support helping i What Success Looks Like: Success will be measured through outcomes including: Marketing-sourced pipeline Qualified opportunities generated Inbound conversion rates Cost per qualified lead and opportunity Lead-to-opportunity conversion Paid acquisition efficiency Landing-page and website conversion Funnel velocity Growth experiment performance Improved visibility and confidence in marketing performance across the portfolio Experience We're Looking For: 3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology. Demonstrated experience owning multi-channel inbound acquisition programs. Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing. Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline. Experience with landing-page optimization, CRO, A/B testing, and structured experimentation. Experience building retargeting, nurture, and lifecycle programs. Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue. Experience working with CRM, marketing automation, attribution, analytics, and reporting systems. Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge. Strong analytical skills and the ability to translate data into clear recommendations and actions. Experience managing agencies, freelancers, vendors, and specialized external resources. Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources. Comfortable balancing strategic thinking with hands-on execution. Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful. How We Work: You have a startup mindset. You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner. We trust your expertise. There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results. You're collaborative and dynamic. You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own. You move fast. We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again. You take ownership. If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate. You're a team player. We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal. You're adaptable. Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace. You're AI-native. AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work. You're comfortable with cybersecurity. You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance. You care about outcomes more than activity. Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it. And we genuinely enjoy working together! Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here. What We Offer: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program Why Spin.AI: Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.