Вакансии

Ключевая миссия CTO: построить инженерную организацию нового поколения. Ожидается построение AI Native Engineering Organization, внедрение AI PDLC как основного процесса разработки, организация работы автономных Tiny Teams, создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт, широкое использование AI для автоматизации инженерной деятельности, сокращение времени полного цикла Idea → Prototype → MVP → Production, формирование инженерной культуры с акцентом на скорость обучения и внедрения инноваций. Задачи: — Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; — Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; — Формировать AI Native инженерную организацию для высокой скорости вывода новых продуктов и функций; — Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов; — Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; — Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их эффективность и ответственность; — Развивать практики агентной разработки (Agentic AI), AI Coding и использование AI-инструментов для автоматизации инженерной деятельности; — Формировать масштабируемую архитектуру AI-first продуктов для быстрого внедрения новых моделей, сервисов и сценариев; — Управлять архитектурой решений, техническим долгом и технологическими рисками; — Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; — Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и улучшении процессов; — Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: — Опыт руководства несколькими инженерными командами разработки от 2 лет; — Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; — Опыт формирования и реализации технологической стратегии продукта; — Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; — Опыт управления архитектурой, качеством разработки и техническим долгом; — Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; — Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; — Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); — Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); — Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; — Опыт организации работы автономных инженерных команд (Tiny Teams); — Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; — Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; — Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; — Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Будет преимуществом: — Опыт создания AI-first продуктов на базе современных LLM; — Опыт построения агентных платформ или мультиагентных систем; — Опыт внедрения AI Native Engineering в инженерной организации; — Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; — Опыт создания персонализированных рекомендательных систем; — Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; — Опыт работы в MedTech, HealthTech, Digital Health или Wellness; — Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); — Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: — Формат: Гибридный (от 2-х дней в неделю, м. Технопарк); — Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); — Условия ипотечного кредитования от Сбербанка; — Индивидуальный план развития; — Обучение: английский с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; — Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; — Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

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Ключевая миссия CTO: - Построение AI Native Engineering Organization; - Внедрение AI PDLC как основного процесса разработки; - Организация работы автономных Tiny Teams; - Создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт; - Широкое использование AI для автоматизации инженерной деятельности; - Сокращение времени прохождения полного цикла Idea → Prototype → MVP → Production; - Формирование инженерной культуры, где скорость обучения и внедрения инноваций становится ключевым конкурентным преимуществом. Задачи: - Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; - Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; - Формировать AI Native инженерную организацию, обеспечивающую высокую скорость вывода новых продуктов и функций; - Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов — от идеи и исследований до промышленной эксплуатации; - Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; - Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их высокую эффективность и ответственность за конечный результат; - Развивать практики агентной разработки (Agentic AI), AI Coding и использования AI-инструментов для автоматизации инженерной деятельности; - Формировать масштабируемую архитектуру AI-first продуктов, обеспечивающую быстрое внедрение новых моделей, сервисов и пользовательских сценариев; - Управлять архитектурой решений, техническим долгом и технологическими рисками; - Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; - Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и постоянном улучшении процессов; - Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: - Опыт руководства несколькими инженерными командами разработки от 2 лет; - Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; - Опыт формирования и реализации технологической стратегии продукта; - Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; - Опыт управления архитектурой, качеством разработки и техническим долгом; - Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; - Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; - Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); - Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); - Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; - Опыт организации работы автономных инженерных команд (Tiny Teams); - Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; - Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; - Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; - Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Преимущества: - Опыт создания AI-first продуктов на базе современных LLM; - Опыт построения агентных платформ или мультиагентных систем; - Опыт внедрения AI Native Engineering в инженерной организации; - Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; - Опыт создания персонализированных рекомендательных систем; - Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; - Опыт работы в MedTech, HealthTech, Digital Health или Wellness; - Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); - Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: - Формат: гибридный (от 2-х дней в неделю, м. Технопарк); - Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); - Условия ипотечного кредитования от Сбербанка; - Индивидуальный план развития; - Обучение английскому языку с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; - Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; - Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

SeekOut is the leading Enterprise Talent Optimization Platform that companies use to quickly hire, grow, and retain great talent while focusing on diversity, technical expertise, and other hard-to-find skillsets. In 2022, SeekOut was named on the Forbes annual list of America’s Best Startup Employers and CEO Anoop Gupta was crowned GeekWire’s Startup CEO of the Year. Throughout 2021, SeekOut was ranked number two in the B2B category of The Information’s 50 Startups to Watch list, and was included on Madrona’s Intelligent Apps Top 40 list. Founded in 2017 by top executives and engineers from Microsoft, SeekOut has raised $189 million in funding, is backed by Tiger Global Management, Madrona Venture Group, Mayfield, and Founders Circle Capital and was valued at $1.2 billion in its recent Series C round. Additional Information: SeekOut offers great benefits including health/vision/dental, transportation subsidies, 401k, education budgets, ability to work remote, onsite parking (if/when we go back to the office), snacks/lunches, and more! We are an inclusive, open, energetic, caring team, that is learning and growing, pulling in the same direction to deliver out sized results, while still having fun. SeekOut condemns discrimination, racism, and racial injustice in all forms. Committed to attracting and retaining a diverse staff, SeekOut will honor your experiences, perspectives, and unique identity. Together, we strive to create and maintain working and learning environments that are inclusive, equitable and welcoming. We are accelerating our efforts through our products and policies to take action and advance definitive, measurable policies and practices that eliminate racism and discrimination. SeekOut is proud to be an equal opportunity employer. We are committed to inclusion of all individuals and will make reasonable accommodations for qualified individuals with disabilities in our job application process. If you require assistance or accommodations to participate in the job application or interview process, please contact HR@seekout.com.

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The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling. Responsibilities: — Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado) — Build and maintain data pipelines and backend services for analytics workloads — Design and optimize database schemas across relational, NoSQL, and cloud data stores — Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB — Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders — Contribute to system design and architecture decisions — scalability, reliability, security — Monitor and troubleshoot production systems using observability tooling Requirements: — 9+ years of backend development experience — Strong Python proficiency — the team's primary language — Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3 — Strong grasp of data modeling (ER design) and system design principles — Interest in AI-assisted development and modern developer tooling — Experience building and shipping production-grade REST APIs We offer: — Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland) — Health insurance coverage for those based in Poland — 50% coverage of health insurance for spouses and children in Poland — 24 days of paid vacation — 10 days of paid sick leave — 50% reimbursement for professional training, education, conferences — Work alongside a highly professional team — Engaging teambuilding events and activities

6 000 – 8 000 $

Обязанности: — RedTeam/Пентест сетевого периметра, доменной и платежной инфраструктуры (blackbox, greybox, whitebox) — Анализ защищённости беспроводных сетей — Оптимизация и повышение уровня информационной инфраструктурной и сетевой безопасности — Мониторинг рынка актуальных угроз информационной безопасности — Участие в R&D проектах Требования: — Опыт работы от 2х лет в качестве пентестера инфраструктуры — Отличное знание как минимум одного языка программирования (go, java, python, php) и умение читать и анализировать исходный код на распространенных языках программирования — Уверенное владение методикой проведения инфраструктурных пентестов — Отличное знание сетевых протоколов (TCP/IP), атак на них и обход механизмов защиты — Навыки тестирования на проникновение и поиска уязвимостей с предоставлением отчетов — Уверенное владение специализированным ПО и фреймворками для проведения различных видов тестирований (Burp Suite, Metasploit, PowerSploit, BloodHound, Cobalt-Strike, Impacket) — Опыт администрирования *nix и Windows-систем, web-серверов — Знание технологий виртуализации (ESXi, Hyper-V) и контейнеризации (Docker, Kubernetes), а также атак на них — Английский язык – не ниже уровня intermediate (Чтение технической литературы) Будет плюсом: — Сертификация в области практической безопасности (OSCP/OSCE/OSEP/GWAPT/GPEN и т.д.) — Участие в CTF (task-based или attack-defense) и прохождение спец. лабораторий (standoff365, hackthebox, pentester academy) — Опыт проведения комплексного анализ защищенности платежных инфраструктур и ДБО — Участие в Red Team Условия: — Зарплатные условия обсуждаются по итогам собеседования — Режим работы офис\Гибрид\удаленка обсуждаются по итогам интервью — Есть 2 коворкинга на Алтае и Сочи доступные для работы 1 раз в год — Погружение в ИИ-культуру – взаимодействуем с искусственным интеллектом на постоянной основе и обучаем этому новичков, предоставляем бесплатных ИИ-помощников — Стандартные + большой компании: ДМС, обучения, возможность участия в различных общих активностях от D&D до марафона

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GiveWell’s mission is to help people in need as much as we can by researching the most cost-effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work focuses on global health and well-being, funded by tens of thousands of donors who rely on our research to inform their giving. We have grown from directing $1.5 million in 2010 to more than $400 million in 2025, with anticipated grantmaking likely to approach or exceed $1 billion this year, aiming for a future with even greater scale. We have been expanding our research capacity and scope to direct substantially more funding to the most impactful opportunities. The Senior Communications Officer, Strategic Communications will lead GiveWell’s development of messaging and narratives that explain its work across different audiences and contexts. The role involves translating the organization’s increasingly diverse and complex work into clear, accurate communications and leading major initiatives requiring close coordination across GiveWell. This position reports to the Vice President of Communications, Steven Profaizer, and will lead a small and growing team. It is one of three new communications leadership roles, alongside Senior Communications Officer, Media & Public Affairs and Senior Communications Officer, Editorial & Production.

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Обязанности: Collaborating with the marketing manager, internal teams, clients and partners on marketing strategy. Helping identify marketing trends and key opportunities for innovation. Learning and working with various types of software for digital marketing. Working closely with sales and marketing department. Creating marketing materials such as white papers, case studies, and presentations. Giving presentations. Maintaining a marketing database. Providing administrative support to the marketing and sales team. Preparing, formatting and editing a range of documents. Understanding company product and brand. General office duties. Creating and interpreting a variety of reports. Organizing market research. Analyzing questionnaires and other forms of feedback. Updating social media accounts.

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About TestGorilla: TestGorilla is a 100% remote company founded in 2020, building a skills-based talent discovery platform to replace reliance on resumes with scientific validation of skills. The company aims to place 1 billion people in their dream jobs and is currently scaling up. About the role: The Senior People & Talent Operations Partner owns People Ops as a product, including systems, compliance, and self-serve workflows that enable the People & Culture function to run efficiently. The role involves managing payroll, compliance, and HR systems across 35 countries, building AI/automation and self-serve layers, and working in a lean two-person team directly with the Head of People & Culture. The role requires autonomy, candid communication, empathy, structure, and organization. Responsibilities: — Uphold company behaviors and foster an inclusive, supportive culture. — Design, build, and maintain a smart, automated, AI-enabled people journey from pre-boarding to off-boarding. — Be the technical owner and orchestrator of the HR tech stack, ensuring tools are unified and integrated. — Own non-Finance payroll, invoicing, contract administration, and compliance across all operating countries. — Manage data privacy, recordkeeping, and the relationship with the Employer of Record (EOR) vendor. — Configure and troubleshoot hiring tools to enable hiring managers to run searches independently. — Maintain documentation for self-serve processes accessible to humans and AI agents. — Collaborate to maintain a balance between self-serve and human involvement in People processes. Requirements: — Passion for TestGorilla's mission. — Excellent written and verbal English communication skills. — Experience building and owning sophisticated automations (Zapier, n8n, Make.com) as part of an integrated HR tech stack. — Experience managing payroll, compliance, or HR operations across multiple countries, ideally with EOR or mixed entities. — Deep, hands-on HRIS experience; HiBob experience is a plus. — Product mindset focused on user feedback and iteration. — Experience working in high-autonomy, async-first, remote-only environments. — Ability to combine operational rigor with empathy and handle sensitive matters. — Opinionated, candid, with strong feedback and stakeholder management skills. — Typically 5+ years of relevant experience, but emphasis on ownership, impact, and progression. Bonus skills: — Experience with ATS or hiring platforms like Ashby, Greenhouse, or Lever. — Experience with EOR providers such as Remote, Deel, or Oyster. — HRIS implementation or migration experience. — Experience supporting teams through organizational change. Conditions: — Hired as an Individual Contractor. — Fully remote global team. — Competitive base pay €56,520 - €70,650 plus Share Appreciation Rights (SARs), no bonus. — Remote and flexible work with asynchronous hours. — Remote work budget €1,000 per year or up to €2,000 from day one for laptop purchase. — Learning and development budget of 3.5% per year with growth opportunities. — Caregiver support including paid parental leave and tailored return-to-work. — Unlimited and flexible time off policy. Application process: Candidates apply via the provided link and complete an AI-powered skills assessment. Hiring decisions are made by humans. Support and accommodations are available for assessments. Applications close September 20, with interviews following.

About Peec AI Peec AI is the visibility platform for the age of AI search. The way people discover brands is being rewritten. ChatGPT, Claude, Google AI Mode and Copilot now sit between companies and their customers, and most brands have no idea what those models say about them. We built the platform marketing teams use to measure, understand and improve how they show up inside AI answers. We went from 0 to $15M ARR in 18 months. We're around 80 people, based in Berlin with a growing presence in New York, and we're moving fast enough that the people joining now are writing the playbook everyone after them will run. The core Peec AI product is how a brand sees itself inside AI search. Most of what it needs to become has not been built yet, and this PM will define and own it. We're looking for someone to decide what an entire product surface should be and then ship it. What You'll Do — Take new product areas from nothing to shipped, owning the problem end to end — Define what a brand's presence inside AI search should look like, working directly with our founders and customers on a category that is still being written — Go broad on the problem space before narrowing on solutions, and hold that discipline when everyone wants an answer immediately — Partner with Data, Engineering and Design to build and launch AI-native features at scale — Set the bar for how the product looks and feels, not just what it does — Own the customer relationship for your product area. Discovery calls, onboardings, and see people actually use what you built Who You Are — 3+ building excellent software products, ideally at a startup or fast-moving company — You have built new products rather than maintained and improved existing ones, and you can point to what you shipped — Experience shipping AI-powered products and systems that operate at scale — Genuine design judgement — Technical enough to work as a peer with engineers and data scientists — Experience in a product-led growth environment — You operate with very little direction. You pick up an ambiguous area and come back with a direction — Excited to be in our Berlin office five days a week — We care more about what you have built than how long you have been building. If you have fewer than three years but the work speaks for itself, apply anyway. Bonus Points — A design background, or a portfolio of things you have designed yourself — Previous founder experience — Background in Computer Science or a technical field — Previous experience building AI-driven or search-related products What We Offer — Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups — Regular team events and off-sites — Aggressive equity compensation package — Paid Dinner & Uber home when working late — The most beautiful office space and work environment in Berlin

JetBrains is a software development company that creates intelligent tools for developers and teams, known for products like IntelliJ IDEA, PyCharm, and Kotlin. The position is Technical Product Marketing Manager for .NET Developer Tools. Work location options include on-site in Belgrade, Berlin, Limassol, Madrid, Munich, Paphos, Prague, Warsaw, Yerevan, or remote in Germany.

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Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.

What you’ll do Participate in the Master Class Program designed to pivot experienced professionals into Life Sciences Consulting. Own key workstreams on customer-facing engagements early in the program to create high-impact business solutions. Collaborate with team members at all levels of Veeva to accelerate consulting skills development. Contribute to building effective business and operational improvement strategies powered by Veeva’s industry insights and technology. Support initiatives focused on speeding drug development, launching treatments more effectively, and shaping optimal customer engagement. Who you are You are graduating with an advanced degree or have 3-5 years of industry experience. You are excited to pivot your career into consulting for the Life Sciences industry. You are eager to join a program with an anticipated start date of April 2027. Requirements Advanced degree or 3-5 years of industry experience in a relevant field. Interest in transitioning into Life Sciences Consulting through the Master Class program. Ability to contribute to customer-facing engagements and collaborate across teams. Benefits & perks Structured Master Class program designed to accelerate consulting skills development. Exposure to industry-leading software, data, AI, and consulting expertise. Team description Veeva Business Consulting combines deep domain knowledge with innovative technology to help Life Sciences companies work more efficiently and connectedly. The team focuses on speeding drug development, launching treatments, and shaping stakeholder engagement using Veeva’s industry insights and technology. Location France (Master Class program, anticipated start April 2027).

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Toloka AI is a global tech company offering end-to-end data labeling solutions combining public crowd, domain experts, and machine learning. Project: Workforce, a virtual team of freelancers including AI tutors, subject matter experts, writers, and editors. Work format: Remote work (Latin America).

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Toloka AI is a global tech company offering end-to-end data labeling solutions combining public crowd, domain experts, and machine learning. Project: Workforce, a virtual team of freelancers including AI tutors, subject matter experts, writers, and editors. Work format: Remote work (Latin America).

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Вакансии маркетологов: • Редактор | Кировская область • Performance / Growth Marketer, реклама, аналитика | NDA | удалённо | от 500$ • Контент-маркетолог, контентная стратегия | онлайн-академия Евгении Кондрашиной | удалёнка | 60 000 – 80 000 ₽ • Маркетолог, Лидогенерация | агенство по разработке цифровых продуктов | парт тайм • Бренд-менеджер, маркетинг, SMM | Kondratovich Group | Самара | зп на собеседовании • ассистент маркетолога, монтаж, съемки, таргет | зп на собеседовании • Lead Media Buyer, Google Ads | удалёнка | зп на собеседовании • Partnership Manager, PR/маркетинг, английский | Evercode Lab | удалёнка • Старший бренд-менеджер | Pims | гибрид | до 250.000р • Джуниор / Миддл Маркетолог-стратег по внешнему продвижению, английский B1 | ALTWeb Group | удалёнка | зп на собеседовании • Миддл / Сеньор Маркетолог | Инновационные системы | Казань • Бренд-менеджер | ENERGON • Интернет-маркетолог, Telegram, контент, реклама | крупный онлайн-магазин | удалёнка | 150 000–250 000 ₽ + бонус за результат • Маркетолог/ассистент, Telegram | удалёнка | оклад + % с продаж • Growth Hacker, Аналитика, Performance-маркетинг | Pragmatic | удалёнка | 90 000–130 000 ₽ на руки • Проджект-менеджер, опыт в affiliate, трейдинг, крипта | удалёнка | зп на собеседовании • Директор по маркетингу, управление маркетингом, премиальный сегмент | NEDVEX | удаленка | З/П обсуждается индивидуально • Старший бренд-менеджер, мясо | Мираторг • Маркетолог-аналитик, маркетинговая аналитика, CRM | НДС365 | удалёнка | 40 000–50 000 ₽ • Senior Product Marketing Manager | Россия | зп на собеседовании • Маркетолог | Три Коржа | офис | от 100 000 • Коммерческий директор (CCO), e-commerce, продажи, реклама, аналитика | Rabiko | Москва | зп на собеседовании • Контент-маркетолог, аналитика, контент-стратегия | продюсерский центр | удалёнка • Project Manager, управление проектами, брендинг | The Clients | удалёнка | зп на собеседовании • Маркетолог, Анализ рынка, SMM, Corel, Photoshop | Оптика FIELINN | Беларусь • Partnership Manager, PR/маркетинг, B2B-маркетинг, GA4, Ahrefs/SEMrush, Brand24 | Evercode Lab | удалённо • Директор по маркетингу, B2B | Росмарк Р-сталь | СПб | зп на собеседовании • Ведущий специалист по Яндекс.Директ, Яндекс.Директ, Яндекс.Метрика | MEDIA TAKE | удалёнка | 150 000–230 000 ₽ • Маркетолог-продюсер, стратегия, контент, сценарии Reels/TikTok | Алматы • Директор по маркетингу | NEDVEX • Помощник маркетолога по контенту | агентство | удалённо | зп на собеседовании • Junior CRM-маркетолог, CRM/email маркетинг, Excel | Онпоинт | Москва • Influence-маркетолог | от 200 000 ₽ | работа из любой точки мира • Маркетолог, контекстная реклама • CVM-менеджер, CRM, CVM, аналитика | M Cosmetic | Ташкент • Старший продуктовый маркетолог, Продуктовый маркетинг, Маркетинг роста | СберОбразование • Team Lead Media Buying, Facebook | удалёнка | доход обсуждается индивидуально • Интернет-маркетолог, Telegram, контент, реклама, аналитика | Крупный онлайн-магазин | удалёнка | 150000–250000 ₽ • Специалист по CRM, CRM-коммуникации | госкомпания | Москва • Маркетолог, стратегия продвижения | Меткий | Иркутск • Marketing Manager, SMM | RedCore | удалённо • Маркетолог, холодный трафик, аналитика | онлайн-школа | зп 150–200 тыс. ₽ • Продуктовый маркетолог | NEDVEX • Менеджер издательских проектов, опыт работы в издательстве | агентство Екатерины Майоровой | удалёнка | зп на собеседовании • Team Lead Media Buyer, Google Ads | Fintech Marketing | удалёнка | зп на собеседовании

About the Role As a Customer Success Manager at Abnormal AI, you will serve as the primary liaison between customers and internal teams, focusing on successful onboarding, adoption, and ongoing value delivery. You will build and nurture strong customer relationships, align on business goals, and drive measurable outcomes through best practice adoption and strategic planning. You will proactively identify opportunities and risks to help customers maximize their investment and contribute valuable feedback for product improvements. Your role involves collaboration with cross-functional teams and maintaining customer satisfaction and retention. Who you are - Skilled at building trust and maintaining relationships with stakeholders at various organizational levels, including executives - Action-oriented, analytical, and collaborative in approach to customer success and issue resolution - Dedicated to delivering measurable customer value and ensuring satisfaction throughout the customer lifecycle - Strong verbal and written communication skills, comfortable handling both strategic discussions and technical conversations - Solid technical understanding of SaaS products, including internet technologies, networking, and email security solutions - Proven track record of driving product adoption and supporting long-term customer growth What you will do - Act as the main point of contact for assigned customers, developing strategic relationships and guiding platform adoption and success planning - Deliver regular business reviews (QBRs/EBRs), clearly communicating ROI and aligning on success metrics to support retention and expansion - Understand customers’ industries, goals, and challenges to provide tailored recommendations and align internal and external stakeholders on success objectives - Promote awareness and usage of key platform features, provide ongoing education, and identify opportunities for expanded adoption - Proactively monitor customer health, manage escalations, and collaborate with Product, Engineering, Support, and Sales teams to resolve issues and share actionable insights - Maintain expert knowledge of the product roadmap and communicate relevant updates and enhancements to customers - Coordinate with internal teams to develop and execute customer success plans, addressing risks before they impact engagement or satisfaction Must Haves - 5+ years of experience in enterprise SaaS, with at least 3+ years in Customer Success, TAM, or support roles - Proven ability to manage large customer portfolios and develop long-term relationships, including at the executive level - Excellent communication, presentation, and organizational skills, capable of managing both strategic and technical conversations effectively - Strong problem-solving skills and experience resolving escalations while maintaining a positive customer experience - Proficiency with CRM and case management tools such as Salesforce and Jira - Technical proficiency related to internet technologies, networking, and email security products - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience

We are seeking an elite, hands-on Senior Security Compliance Consultant (SOC 2 & GRC Specialist) to lead a critical, company-wide SOC 2 Type II audit readiness initiative. In this strategic engagement, you will perform comprehensive gap analyses, assess existing security controls, design robust compliance workflows, and drive cross-functional teams toward audit completion. The ideal candidate brings a proven track record in GRC frameworks, control mapping, evidence automation, and policy development. Utilizing automated compliance platforms such as Sprinto, you will build repeatable compliance processes, validate technical controls, and ensure a seamless audit experience across the entire organization. General Information (About the Client): Our client is a fast-scaling, cloud-native technology platform committed to maintaining enterprise-grade trust, security, and data privacy. To support their rapid commercial growth and enterprise sales pipeline, they are establishing a formal, highly disciplined security governance model. They operate a modern, cloud-first environment where compliance is treated not as a passive checklist, but as an active, automated operational advantage. By leveraging modern GRC platforms and fostering a security-conscious culture, they provide an empowering environment for compliance experts to drive real architectural and procedural improvements. Tasks and Deliverables: SOC 2 Readiness & Gap Analysis: Conduct a thorough assessment of existing technical and operational security controls, pinpointing compliance gaps and building an actionable remediation roadmap. Control Design & Implementation: Author, refine, and operationalize security controls, policies, and procedures aligned with SOC 2 Trust Services Criteria (TSC) and PCI DSS standards. Automated Evidence Collection: Lead evidence-gathering workflows using automated GRC tooling (Sprinto), ensuring all technical artifacts, access logs, and policy attestations are validated and audit-ready. PCI DSS Guidance: Provide expert advisory on maintaining PCI DSS alignment alongside SOC 2, ensuring overlapping control requirements are mapped efficiently to reduce operational drag. Cross-Functional Coordination: Collaborate with engineering, DevOps, HR, and IT teams to embed compliance workflows into daily operations without slowing down feature execution. Auditor Interface & Readiness: Serve as the primary liaison during the audit preparation phase, coordinating directly with external auditors to present evidence, resolve findings, and ensure a successful audit cycle. Required Experience: SOC 2 Mastery: Proven track record of leading end-to-end SOC 2 readiness, gap remediation, and audit preparation initiatives for cloud-native or B2B SaaS companies. GRC & PCI DSS Acumen: Deep familiarity with Governance, Risk, and Compliance (GRC) frameworks, risk assessment methodologies, and PCI DSS compliance requirements. Tooling Proficiency (Sprinto): Direct, practical experience leveraging automated compliance and evidence-collection platforms, specifically Sprinto (or equivalent modern platforms like Vanta/Drata). Policy & Control Mapping: Exceptional capability to author clear, enforceable security policies and translate abstract regulatory requirements into concrete engineering controls. Cross-Functional Facilitation: Strong stakeholder management skills with a history of driving accountability across distributed engineering, product, and operations teams.

Koast.ai is seeking a Head of Product to own the product end to end, starting as a 20 hours/week contract role with potential to grow into full-time. The product is an AI operating layer for teams managing Meta ads at volume, helping agencies and media buying teams launch ads faster, automate optimizations, and manage multiple accounts from one hub. The role involves discovery to identify real problems, writing clear specs for engineering, managing the product queue, using data to prioritize features, and overseeing delivery from specification to release. The candidate will make technical product decisions respecting the non-deterministic nature of AI-driven ad management. Responsibilities include running discovery sessions, surfacing technical risks, writing and grooming detailed tickets, partnering with engineering on feasibility and scope, owning success metrics, being the customer contact during onboarding, and communicating updates to CEO, customers, and engineers. Requirements: — 4+ years in product management on B2B SaaS with full lifecycle ownership — Hands-on familiarity with Meta Ads Manager and Marketing API; agency or performance marketing background preferred — Strong technical fluency including reading API responses and understanding data models and rate limits — Experience with attribution or analytics data (Hyros, Cometly, Triple Whale, Northbeam, or similar) is a plus — Experience writing specs for AI coding agents is a plus; willingness to learn required — Comfortable with Shortcut, PostHog, Intercom, Slack, and Notion or able to learn quickly — Availability 20 hours/week during US business hours with intent to go full-time Work style values mastery, pushing boundaries, embracing challenges, responsibility, dedication, and collaboration. The role offers early-stage impact as the first product seat, working on AI and ads at scale, growth potential with equity, and remote flexible work during US hours. To apply, candidates must record a Loom video covering specific points about their experience and email the link with their LinkedIn or resume to jobs@koast.ai with the subject "Scale with Koast". Applications without the video are not reviewed.

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