Вакансии

Location: Москва Workplace: В офисе О компании Сейчас в центр пакетного ядра в команду мобильной передачи данных ищем эксперта с широким опытом работы в коре, чтобы интерпретировать и реализовывать данные для CEM. Обязанности контролировать полноту, корректность и своевременность данных от сетевых элементов (MME/SGSN, SGW/PGW, PCRF/PCF, PCEF/DPI, CGNAT, IMS, HSS/UDM, DNS) в CEM; анализировать расхождения и аномалии в данных, выявлять причины и координировать их устранение совместно с владельцами систем и вендорами; разрабатывать и актуализировать методики расчета Core-KQI/KPI на абонентском и сессионном уровнях; проверять корректность метрик и сопоставлять результаты с PM-счетчиками и данными сетевых элементов; анализировать причины ухудшения качества услуг на основе абонентских сессий и сетевых событий; локализовать проблемы и определять зоны ответственности между доменами Radio, Core, Transport, сервисными платформами и абонентскими устройствами; оценивать влияние изменений сетевой инфраструктуры, обновлений ПО, внедрения новых сетевых элементов и вендорских решений на данные и метрики CEM; формировать и согласовывать требования к составу, качеству и формату данных, поступающих в CEM; участвовать в разработке и внедрении новых сценариев использования CEM: клиентские KPI, выявление аномалий, анализ блокировок, мониторинг качества сервисов и Personal QoS; пилотировать новые функции, проверять результаты и оценивать их применимость в промышленной эксплуатации. Требования знание архитектуры мобильных сетей EPC, IMS, 5G NSA/SA, назначения и принципов взаимодействия основных сетевых элементов; понимание протоколов GTP, Diameter, SIP и их применения в сигнальных и пользовательских процедурах; понимание принципов работы и взаимодействия основных сетевых элементов и функций Packet Core и IMS (SGSN/MME, GGSN/SGW/PGW, AMF/SMF/UPF, HSS/UDM, PCRF/PCF, OCS/CHF, PCEF/DPI, CGNAT, DNS), включая особенности формирования событий, статистики и диагностических данных; опыт работы с xDR/CDR, PM-счётчиками и другими источниками сетевых данных; понимание принципов формирования и расчёта сетевых KPI/KQI, оценки качества услуг на уровне абонента и сессии; уверенное владение SQL и Python для обработки, анализа и проверки корректности данных; практический опыт диагностики сетевых проблем (troubleshooting), анализа сигнализации и определения зон ответственности между сетевыми доменами; опыт взаимодействия со смежными техническими подразделениями и вендорами при расследовании проблем и внедрении изменений; желателен опыт работы с оборудованием нескольких вендоров и системами мониторинга качества услуг (CEM/SQM). Условия ДМС с первого месяца работы, включая стоматологию. А еще оплачиваем 50% стоимости полиса ДМС для родственников; страхование от несчастных случаев с 1 месяца работы. Материальная помощь в сложных жизненных ситуациях; прием врачей общей практики и массаж в офисе. Консультация психологов и программа поддержки сотрудников; отпуск 28 календарных дней + 3 дня за ненормированный рабочий день; компенсация расходов на выбор сотрудника, например, на спорт или питание. Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; мобильная связь за счет компании и льготные тарифы для близких; единая подписка МТС Premium — KION Lite в онлайн-кинотеатре KION, сервисы МТС Музыка и Строки; собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучение для карьерного развития.

Location: Москва Workplace: Офис, Гибридный Яндекс Поиск каждый день помогает десяткам миллионов людей находить ответы на вопросы. Мы ищем Senior Marketing Manager. Вместе с командой дистрибуции вам предстоит развивать маркетинг партнёрского канала, искать новые точки роста и запускать решения, которые можно масштабировать. Яндекс Поиск каждый день помогает десяткам миллионов людей находить ответы на вопросы. Наша задача — увеличивать долю Поиска за счёт партнёрств с крупными онлайн-площадками и искать новые возможности для роста в этом канале. Мы ищем Senior Marketing Manager. Вместе с командой дистрибуции вам предстоит развивать маркетинг партнёрского канала, искать новые точки роста и запускать решения, которые можно масштабировать. Обязанности Точки роста партнёрского канала Вы будете искать способы увеличить рост Поиска с помощью онлайн-партнёрств, открывать новые каналы и разрабатывать механики работы с партнёрами. Развитие партнёрской базы Вам нужно будет повышать эффективность работы с текущими партнёрами, запускать новые механики и искать способы масштабировать успешные решения. Эксперименты с маркетингом Вам предстоит выдвигать гипотезы, пробовать новые форматы продвижения, оценивать, как они влияют на ключевые метрики, а успешные решения — масштабировать на других партнёров. Привлечение партнёров Среди ваших задач будет поиск новых партнёров, налаживание сотрудничества с ними и запуск совместных маркетинговых активностей. Продвижение продукта Вы будете продвигать новые возможности и фичи Поиска — через коммуникации внутри продукта, партнёрские каналы и внешние площадки. Требования * Работали в маркетинге от пяти лет * Курировали кросс-командные проекты и можете фокусироваться на ключевых задачах * Умеете находить точки роста, формулировать гипотезы и проверять их на практике * Обладаете аналитическими навыками, позволяющими выстраивать прозрачную связь между маркетинговыми активностями и достижением KPI Будет плюсом * Имеете опыт работы с партнёрскими каналами или трейд-маркетингом

- Assist with e-communication archiving reviews to ensure adherence to firm policies. - Provide input on and help complete Due Diligence Questionnaires (DDQs) and RFPs.

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is looking for Senior Project Managers to manage mechanical and plumbing equipment procurement, planning, testing, delivery, and vendor coordination for data centers.

Roofstock is looking for a Senior Legal Operations Manager to manage legal workflows, contracts, records, outside counsel spend, governance, claims, and legal technology.

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Alpaca is looking for a Senior Brokerage Operations Associate to design scalable Canadian brokerage, clearing, custody, tax, reconciliation, and operational-control workflows.

Glean is looking for a Senior Analyst Relations Manager to lead analyst relationships, industry evaluations, briefing programs, and analyst-facing communications.

Chainalysis is looking for a Senior Intelligence Analyst to investigate Russian and Eurasian crypto threats, attribute networks, and produce actionable intelligence.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: France | Remote; Paris; US (EST); US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. ABOUT THE ROLE You’ll run Morpho’s corporate IT: accounts and access, laptops, and the SaaS tools the company runs on, all set up securely. You’ll work closely with the security team: they set policy and lead on incidents, and you put that policy in place across our tools and devices. The scope is broad and the work is hands-on. We’d rather automate repetitive work than hire for it, so expect to write scripts and build your own tooling, using AI where it helps. We’ll go through our stack with you early in the process. RESPONSIBILITIES - Administer SSO, the directory and the password manager. Handle onboarding and offboarding, and run regular access reviews. - Manage the Mac fleet: setup, MDM policies, OS and app updates, and keeping the endpoint security agent installed and working. - Apply the security baselines and access policies the security team defines, and keep our tools configured to match. - Administer our SaaS tools: setup, admin access and licences. Handle the IT side of bringing on new vendors. - Support the security team during incidents by isolating devices, revoking access and pulling logs. - Provide evidence for IT controls during audits. - Automate repetitive work such as onboarding, offboarding, access reviews and evidence collection. - Write and maintain documentation for IT procedures. - Take part in IT on-call. DEFINITION OF SUCCESS - 1 month: handles onboarding, offboarding and day-to-day account and device work without help, and knows how our tools are set up. - End of probation: owns our identity, device and SaaS setup, has automated at least one process that used to be manual, and is the person the security team goes to for IT changes and incident support. - 12 months: runs corporate IT independently. Onboarding, offboarding, access reviews and audit evidence mostly run on tooling they built. EXPERIENCE - 5+ years in IT, systems engineering or IT security. - Hands-on admin experience with an enterprise identity provider, an MDM and endpoint security tools. - Strong macOS management: configuration profiles, privacy preference and system extension policies. - Writes Python or Bash to automate work. Infrastructure as code is a plus. - Has supported a SOC 2, ISO 27001 or similar audit. - Knows crypto companies are frequent targets of phishing and social engineering, and sets up systems with that in mind. Web3 or fintech experience is a plus. - Writes clear documentation. - Prefers simple setups people follow over perfect ones they work around. - Comfortable being part of an on-call rotation. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Support Engineer L2 t o resolve complex technical issues escalated by Nebius clients. This position requires strong analytical skills, effective communication, and a customer-centric approach to deliver outstanding service and ensure operational continuity. You’re welcome to work remotely from the USA. Please note that this is a shift work. Your responsibilities will include: Diagnose and resolve technical issues, focusing on Linux, networking, security, Kubernetes and cloud environments. Analyze and resolve storage-related issues using a strong understanding of data storage concepts. Apply ML knowledge to assist with troubleshooting model deployment, performance issues and integration challenges in ML pipelines. Develop Python and Bash automation scripts to streamline processes and optimize workflows. Provide timely updates and clear customer explanations regarding issue status and resolutions. Escalate unresolved problems promptly to ensure minimal service disruption. Maintain and improve technical documentation to support troubleshooting and issue prevention. We expect you to have: Linux administration – advanced Networking – intermediate Kubernetes – intermediate Cloud solutions (AWS, Azure, GCP) – intermediate Python/Bash scripting – intermediate ML training, inference and pipelines – intermediate Data storage concepts – intermediate Troubleshooting and problem-solving – advance Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years in technical support, with at least 3 years of hands-on experience in cloud environments. Working Hours: Availability for rotational shifts or on-call support as required. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-SM2 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $200,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

— Опытного Facebook Media Buyer с успешными кейсами в Nutra SS. — Опыт работы с Tier 1/2 GEO.

- будет развивать backend-часть продукта.

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

- Участие в полном цикле анализа триггерных кампаний, пилотов и A/B-тестов. - Контроль корректности настройки кампаний и пилотов в CRM-системе: логика исключений, контрольные группы и A/B-тестирование.

• Готовность взять на себя ответственность за сложную производственную среду и влиять на архитектурные решения. • Стек: Azure (AKS, VNet, LB), Python/Golang/Bash, Prometheus, VictoriaMetrics, Loki, ArgoCD, GitLab CI/CD.