Вакансии

Задачи: — развивать SEO-стратегию; — работать с Google Search Console и GA4; — анализировать поисковые данные; — отделять коммерческий интент от информационного; — оценивать потенциал тем до запуска в работу; — проводить технические аудиты; — работать с индексацией, дублями и каннибализацией; — ставить задачи штатному копирайтеру; — оценивать результат SEO по лидам и продажам. Требования: — от 3 лет опыта в SEO; — опыт продвижения услуг с длинным циклом принятия решения; — самостоятельная работа с GSC и GA4; — сильная аналитика; — понимание технического SEO. Опыт мультиязычных сайтов, зарубежной русскоязычной аудитории и интеграции SEO с CRM будет преимуществом. Условия: — полностью удалённая работа из любой точки мира; — part-time, около 30–40 часов в месяц; — тестовый период 3 месяца; — штатный копирайтер; — отдельный бюджет на внешние размещения; — зарплата по договорённости, старт от 700 €.

Location: Barcelona, Spain; Mataró, Spain; Castelldefels, Spain; Cerdanyola del Vallès, Spain; Sant Cugat del Vallès, Spain; Terrassa, Spain Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. What You'll Do Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing) Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust Requirements Must-Have Experience 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models) Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment dbt, PySpark, Snowpark, SQL, Python — strong across the modern data stack Orchestration with Airflow, Databricks Workflows, or equivalent Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows Nice to Have Pharma, life sciences, or regulated financial services domain experience Veeva CRM, IQVIA, SAP, or clinical data source integration Streamlit or Databricks Apps for business-facing analytics Databricks Data Engineer Professional certification LangChain, LlamaIndex, or equivalent RAG frameworks Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions What We're NOT Looking For Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role

Location: Jakarta, Indonesia Who are we? Avomind is a global recruitment company specializing in commercial, strategy, analytics, operations, and technology talent. We help fast-growing companies scale internationally by connecting them with driven, high-potential professionals who can make real impact. Speed and quality are at the core of how we operate. We work with companies entering new markets, scaling rapidly, or searching for highly specialized talent with unique requirements. Our team is global and fully remote, operating across Berlin, Barcelona, Toronto, and Jakarta. We support clients worldwide across key growth regions: Europe: Go-to-market, strategy, and commercial roles across Germany, France, Spain, the Nordics, and the Netherlands. USA: Professional services, investment, eCommerce, and life sciences roles across major US markets. Asia: Supporting companies across Singapore, Hong Kong, China, Indonesia, Malaysia, and India — particularly those expanding into new markets. Our proprietary network includes partnerships with over 200 leading academic institutions worldwide, including top-tier MBA programs, enabling us to access exceptional global talent. What are we looking for? We are growing our Talent Acquisition team in APAC and are looking for ambitious individuals who want to build a strong career in recruitment and become experts at identifying and engaging top talent globally. This role sits at the heart of Avomind’s success. You will work closely with Project Managers, Business Development, and Marketing teams, and global stakeholders to deliver high-quality candidates and drive impactful hiring outcomes. If you thrive in a fast-paced, international environment and enjoy working with people, strategy, and data-driven decision-making — we would love to meet you. Working Setup Work Days: Monday–Friday Work Hours: 11:00 – 20:00 (Jakarta time, with some flexibility) to ensure effective collaboration across global teams. What will you be doing on a daily basis? As a Talent Acquisition Associate, you will play a key role in executing our global recruitment strategy: Actively contribute to outbound and inbound recruitment initiatives by identifying and engaging strong candidate pipelines. Conduct direct sourcing through LinkedIn Recruiter, Sales Navigator, Google X-Ray, and other creative sourcing channels. Perform screening interviews to assess candidates’ experience, motivation, and cultural fit. Own candidate coordination and ensure a smooth, professional recruitment experience throughout the process. Collaborate closely with Project Managers, Business Development, and Marketing teams to understand hiring needs and market trends. Provide insights on candidate landscape, compensation trends, and market availability. Take ownership of candidate experience and build strong relationships with talent globally. Work in a performance-driven environment focused on delivering consistent quality hires. You will work alongside an experienced, international team and gain exposure to global recruitment projects across multiple industries and markets. Requirements We would love to hear from you if you: Are fluent in English (minimum C1 level). Additional languages are a strong advantage. Hold at least a Bachelor’s degree in a relevant field (e.g., Psychology, Business, Communication, Economics, English, or similar) with strong academic performance. Fresh graduates are highly encouraged to apply. Graduated from top universities or have participated in international exchange programs (highly preferred). Have a minimum GPA of 3.50/4.00. Demonstrate noteworthy extracurricular achievements during university; leadership experience or active involvement in student organizations is a strong advantage. Have up to 2 years of total full-time experience (maximum) . Internship exposure in recruitment, talent acquisition, sales, business development, or human resources is considered a strong plus. Are motivated to build a career in recruitment and thrive in goal-oriented environments. Possess strong communication skills and enjoy working in an international, fast-paced setting. Are collaborative, proactive, and demonstrate a growth mindset. Have experience using LinkedIn Recruiter, Sales Navigator, ATS platforms, or similar tools (preferred but not mandatory). What’s in it for you? Let's split it into a few key areas: Career Booster Coaching & Development Program. Weekly global trainings and continuous learning opportunities. Fast-track career progression (70% of our team were promoted in the last 12 months). Exposure to international markets and global clients. Learn directly from experienced team members in a flat hierarchy environment where ideas and initiative are valued. Modern Work & Culture Full remote set-up with flexible working style. Work alongside a highly international and diverse team across Europe, APAC, and the Americas. A culture built on transparency, proactivity, collaboration, and resourcefulness — we support each other, share knowledge openly, and step in to help when needed. Ownership and autonomy: you are trusted to manage your work and contribute ideas that make an impact. Compensation & Benefits Competitive monthly base salary. Monthly commission structure for each successfully hired candidate — uncapped earning potential aligned with your performance. Laptop Ownership Program. BPJS Manpower. Private Health Insurance. 20 vacation days per year + local public holidays.

Location: Brazil About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a premier executive search firm specialized in the senior care and post-acute healthcare sectors. By focusing on critical markets including senior living, home health, hospice, and skilled nursing, the team connects top-tier clinical and operational leadership with organizations dedicated to quality patient care. They serve as a strategic partner to healthcare providers across the United States, utilizing a deep understanding of the regulatory landscape and long-term care industry to drive impactful placements. As a fast-growing company in the healthcare recruitment space, the team is defined by a commitment to excellence and a results-oriented culture. They prioritize building sustainable leadership pipelines that allow healthcare organizations to scale effectively while maintaining high standards of service. Candidates joining this collaborative environment will contribute to a mission-driven organization that values professional integrity and plays a vital role in shaping the future of senior care services. Job Summary Are you a high-energy outbound specialist who thrives in a fast-paced, high-volume environment? This company is a premier executive search firm specializing in the senior care industry, and we are looking for a resilient Appointment Setter to join our mission. In this role, you will be the engine of our recruitment funnel, reaching out to passive executive talent to spark interest in career-defining opportunities. If you are self-motivated, unphased by rejection, and eager to transition into a full-cycle recruitment career, this is the perfect launchpad for you. Key Responsibilities Execute 90+ outbound cold calls per day to passive healthcare leadership candidates. Consistently secure 15+ qualified appointments per week for the senior recruitment team. Manage high-volume cold email outreach and follow-up sequences. Overcome complex objections to qualify candidates based on specific leadership criteria. Maintain a clean and organized pipeline within the CRM to ensure no lead falls through the cracks. Operate with a high degree of independence while adhering to strict CST business hours. Requirements Proven experience as an SDR or in an outbound cold-calling role targeting passive prospects. Fluency in English with exceptional verbal and written communication skills. Demonstrated ability to handle high-rejection environments with a positive, persistent attitude. Mastery of objection handling and lead qualification techniques. Highly self-organized with the ability to manage time effectively without direct supervision. Proficiency in Google Workspace. Nice-to-Haves Experience using Crelate (CRM) or LinkedIn Sales Navigator. Previous experience in Healthcare, Consulting, or Agency recruitment environments. Background in lead sourcing and identifying niche talent pools. Marketing or social selling experience. Benefits 💰 Competitive base compensation 🎯 Performance-based incentives for every placement resulting from your appointments 🌎 Fully remote work environment 🚀 Career growth opportunities with a clear path to Full Desk Recruiter 📈 Long-term stability in a recession-resistant industry 🛠️ Opportunity to work with a specialized, high-performing executive search team

Задачи: — полный цикл подбора персонала на различные вакантные позиции в ГО: согласование критериев поиска, публикация вакансий, проведение телефонных интервью и назначение собеседований — первичные собеседования, анкетирование, направление кандидатов к руководителям подразделений — сбор рекомендаций — организация и контроль выхода сотрудников на работу — ведение отчетности о проделанной работе — участие в проектах — подготовка отчетности и аналитики по проектам Требования: — высшее образование — опыт работы в профессиональном подборе в компаниях финансового сектора, e-com, телеком — навыки X-ray и Boolean search — наличие аккаунта в LinkedIn — опыт подбора менеджмента высшего звена - CPO/CFO

Задачи: — Рост органического трафика и позиций по целевому семантическому ядру; улучшение технических и контентных факторов. — Проработка UX и конверсионных улучшений: формирование и приоритизация гипотез, проведение A/B-тестов, оценка эффекта. — Управление подрядчиками по SEO, веб-разработке и контекстной рекламе: постановка задач, контроль сроков и бюджета, приёмка результатов, оценка эффективности. — Участие в планировании и контроле рекламных каналов performance-маркетинга, анализ эффективности, оптимизация бюджета. — Сквозная аналитика и отчётность: расчёт ключевых метрик (CPL, CPA, CAC, ROI, P&L), выявление узких мест воронки, подготовка предложений по повышению эффективности. Требования: — Опыт SEO от 3 лет, понимание технической оптимизации, работы с CMS (1С-Битрикс), основы HTML/CSS. — Понимание принципов линкбилдинга и работы с внешними площадками. — Уверенное владение Яндекс.Вебмастером, Google Search Console, SEO-инструментами анализа (Serpstat, Ahrefs и аналоги). — Опыт управления подрядчиками и постановки ТЗ разработчикам, контроль результата. — Уверенное владение Яндекс Метрикой, инструментами веб-аналитики, SEO-инструментами. — Понимание принципов контекстной рекламы (Яндекс Директ) и performance-маркетинга. — Умение работать с данными, считать метрики и аргументировать решения цифрами. Условия: — Официальное оформление с первого дня. — Место работы: пешая доступность от м. Алексеевская. — График 5/2 с 9:30 до 18:00. — Комфортный офис.

Задачи: — Полный цикл подбора персонала: от согласования заявки до выхода кандидата на работу. — Проведение прямого поиска (headhunting) кандидатов через профессиональные сети, LinkedIn, отраслевые сообщества и базы данных. — Поиск и привлечение кандидатов через базы резюме, соцсети, рекомендации. — Проведение телефонных и очных/онлайн-собеседований. — Первичная оценка кандидатов на соответствие требованиям вакансии. — Организация встреч кандидатов с руководителями подразделений. — Ведение базы кандидатов, отчётности по подбору. — Формирование и поддержание пула кандидатов (talent pipeline) для стратегически важных позиций. — Поддержание обратной связи с кандидатами на всех этапах. — Помощь в адаптации новых сотрудников. — Подключение к проектам HR не связанных с подбором – приветствуется и может являться зоной роста и развития. Требования: — Опыт работы рекрутером от 2 лет (массовый подбор, линейный или мидл-уровень). — Знание основных источников поиска кандидатов и job-ресурсов. — Высокий уровень эмоционального интеллекта, дипломатичность, умение работать с топ-менеджментом. — Самостоятельность, проактивность, ориентация на результат. — Организованность, многозадачность, доброжелательность. — Работа в офисном формате, не гибрид и не удаленный режим. Будет плюсом: — Разговорный английский язык. — Опыт работы в Executive Search агентствах. Условия: — Офис в центре Москвы (м. «Чистые Пруды»). — Корпоративные обеды. — Компенсация расходов на фитнес. — Расширенный полис ДМС со стоматологией.

Location: New York, 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 Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. You will own our enterprise product: the roadmap for what large customers need, and the control plane that makes it possible. These are the capabilities that decide whether a large customer can adopt us, trust us, and expand with us. Our product is an API, and our enterprise buyer is an engineering organization. The people you build for are platform teams, architects, and the developers inside those companies who are putting agents into production. You need to be comfortable making product decisions about API surfaces, developer workflows, and technical tradeoffs, not only about business requirements. To build this well, you have to be in the room. You will work alongside customer success, sales, and our forward-deployed engineers, who are in these accounts every week and already know where we fall short, and you will spend real time with customers alongside them. Delivery and implementation stay with forward-deployed engineering and go-to-market. Your job is to turn what you learn into product. The hard part is judgment. Knowing which request is one account's edge case, and which one is the thing every enterprise customer will ask for six months from now. Getting that right is the difference between a platform and a pile of custom work. In your first year, we expect you to own a clear enterprise roadmap, ship the controls that block deals today, and become the person the go-to-market team comes to before a deal gets stuck. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. The product team is small, so you will work directly with the engineers building your roadmap and with the go-to-market teams selling it. Your responsibilities will include Own the enterprise roadmap: what we build for large customers, in what order, and why. Own the platform behind it: organizations and identity, keys and quotas, spend controls, usage observability and audit, policy enforcement, and data residency. Make product decisions on our API surface for enterprise use, so that the developers inside those accounts can build on us without friction. Work with customer success, sales, and forward-deployed engineering to understand what enterprise customers need, and spend time in accounts alongside them to see it first hand. Tell the difference between a single-account request and a pattern worth building for, and be able to defend the call either way. Hand off what belongs to another product area, with the evidence that makes it actionable. Give sales and marketing the positioning, materials, and product understanding they need to sell a technical product well. Represent enterprise customers in roadmap decisions with evidence rather than anecdote. We expect you to have 6+ years of product management experience, with a meaningful part of it spent on enterprise products in B2B, developer platform, or API businesses. Experience building developer-facing or API products, with real understanding of what makes an API good to build against. Experience building platform capabilities that enterprises depend on, such as identity, permissions, quotas, usage controls, audit, or compliance. A track record of working with large enterprise accounts, including recognized logos, and turning what you learned into shipped product. Credibility with technical buyers: platform teams, architects, security, and procurement. Strong understanding of LLMs, AI agents, and how search and retrieval fit into agentic workflows. Hands-on technical background is a strong plus. The ability to turn many messy customer conversations into one clear, prioritized product argument. Proven ability to drive alignment without formal authority, including with product owners who do not report to you. It will be a bonus if you have Background as a forward-deployed engineer, solutions engineer, or solutions architect before moving into product. Experience in search, information retrieval, or NLP. Experience in API-first businesses running both self-serve and enterprise motions. Experience building for regulated industries such as financial services, insurance, or healthcare. 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 $179,500 — $224,300 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.

Location: Remote, Global Workplace: Remote About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a FinOps Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the Terraform or Lambda that ships the fix, working on a product feature chasing a number until it reconciles, and influencing product decisions when cost to reliability tradeoffs hit. Strong communication matters as much as technical depth, you'll regularly explain a savings case to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. - Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. - Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. - Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards engineering and finance can both read. You Might Be a Good Fit If You - Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. - Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). - Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. - Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. - Can analyze cost data and present it clearly to both technical and non-technical audiences. - Have prior experience in a FinOps, cloud cost management, or cloud governance role. - Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Metro Manila; Armenia; Bangkok; Kazakhstan; Georgia; Da Nang Workplace: OnSite 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll build Salmon's digital employer brand engine — getting the specific talent we want to hire onto our radar and converting online attention into qualified candidates. What you'll do: - Turn Salmon's EVP into targeted campaigns for the segments we actually want to hire — Engineering, Data, Product, across local and global markets — and run them across LinkedIn, Telegram, Instagram, TikTok, Reddit, and the other channels where that talent spends time. - Build digital funnels end to end — audience segmentation, campaign mechanics, landing pages, lead capture, retargeting, and conversion — using AI and automation to run research, content, and reporting faster and more scalably. - Turn strong employees into digital ambassadors and grow Salmon's presence in the online communities where target talent already spends time — and work with Recruiting on candidate quality, objections, and funnel drop-off to keep improving hiring conversion. What you'll own: - Own the digital employer brand strategy and execution across priority markets and talent segments, activating the EVP across every candidate-facing touchpoint. - Run LinkedIn organic and paid — audience targeting, testing, optimisation, and reporting — and build presence in relevant Telegram channels and professional groups. - Build platform-native employer brand presence on Instagram (incl. Threads), TikTok, Reddit, and niche communities where talent researches careers, companies, and relocation. - Develop employee digital advocacy: identify the right ambassadors, shape content with them, and help them build a credible external voice. - Design talent-marketing funnels, campaign landing pages, and candidate journeys from first interaction to recruiter handoff — and keep career-site and job-board presence fresh and converting. - Manage online reputation and brand mentions across search, communities, and review platforms — and own the analytics that tie digital activity to qualified candidate outcomes, from reach through to hire. What makes you a strong fit: - Strong experience in employer brand, talent/recruitment marketing, digital or growth marketing, or audience development — with the ability to build positioning and campaigns for specific audiences. - Deep understanding of digital channels and their mechanics, especially LinkedIn organic and paid, and how audiences behave differently across platforms. - Proven ability to build and optimise digital funnels and performance — not just run a content calendar — connecting digital activity to candidate quality and hiring outcomes. - Hands-on experience with UGC and employee advocacy, plus creating or launching landing pages and lightweight journeys with no-code tools or a CMS. - AI-native: you use AI tools, agents, and automation by default to scale research, content, analytics, and repetitive work. - An owner, builder, and strong executor who takes a direction from 0 to 1 and keeps tuning it — works hands-on, decides on data, and re-prioritises quickly. English C1. What we offer: OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Разрабатывать комплексные SEO-стратегии, соответствующие бизнес-целям B2B SaaS компаний — Вести стратегические коммуникации с клиентами, включая ежемесячные и квартальные обзоры, а также переговоры с руководителями высокого уровня — Создавать и представлять понятные отчеты о результатах, рисках и дальнейших шагах — Анализировать данные, позиции в поиске, трафик, конверсии и другие показатели для выработки практических SEO-рекомендаций — Продвигать клиентские обсуждения к принятию решений и определению приоритетов — Внедрять инновации в SEO-стратегиях с использованием AI — Управлять портфелем из 3–5 B2B SaaS клиентов, строить доверительные отношения с маркетинговыми и исполнительными командами — Проводить стратегические сессии, обзоры эффективности и клиентские звонки — Проактивно выявлять риски, возможности и препятствия, обеспечивать выполнение договоренностей — Руководить технической реализацией SEO, выявлять возможности для улучшения контента и авторитетности — Разрабатывать и оптимизировать SEO-воронки, ориентированные на конверсии — Интегрировать GA4, GTM и инструменты отчетности для получения полезных инсайтов — Рекомендовать и внедрять продвинутые стратегии разметки схемы — Приоритизировать SEO-рекомендации с учетом бизнес-эффекта и реалистичности внедрения Требования: — Опыт работы в SEO не менее 5 лет, из них минимум 2 года в B2B SaaS — Опыт работы с клиентами в роли SEO-стратега с ответственностью за коммуникации — Доказанный успех в органическом росте для B2B или корпоративных клиентов — Наличие успешных клиентских отношений и удержания — Глубокие знания технического SEO, контент-стратегии, аналитики и оценки эффективности SEO — Опыт работы с GA4, GTM и современными SEO-инструментами — Отличное владение английским языком, умение вести клиентские переговоры и писать отчеты — Умение приоритизировать задачи SEO с учетом бизнес-целей и контекста клиента — Способность четко представлять результаты, риски и рекомендации руководству Условия: — Конкурентная базовая зарплата и квартальные бонусы — 5 недель оплачиваемого отпуска — Полностью удаленная работа с гибким графиком, требуется минимум 4 часа пересечения с часовыми поясами Северной Америки — Медицинские и стоматологические льготы для резидентов Канады — Регулярные командные встречи и ежегодные ретриты — Четкая карьерная траектория без необходимости идти в менеджмент — Еженедельные индивидуальные коуч-сессии с опытными менеджерами — Доступ к проверенным методологиям, фреймворкам и возможностям профессионального развития

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We are hiring a Fullstack Engineer for our Growth team. You will run experiments across the whole self-serve journey: from the moment someone first hears of Peec AI to the day they renew, refer a friend or leave. That covers the website, signup, pricing and checkout, the trial and onboarding. It also covers the moments in the product where we ask people to do something, like connect a tool, invite a teammate or upgrade. You can work on any of these, and we decide together where the focus goes each month or quarter. You come up with the hypothesis, design the experiment and discuss it with the team. Then you run the rest of the loop yourself: build it, instrument it, ship it behind a flag, read the result and write down what happened. You report to the VP of Growth and work with our Growth PM, our growth engineer, and the marketing and design teams. WHAT YOU'LL DO - Go after big swings. We size every idea first and look for changes that could move a funnel step by 30 to 40 percentage points. It is fine if most of them fail. - Build and improve the experimentation infrastructure. Feature flags, assignment at the account level, exposure logged when someone becomes eligible, outcomes recorded on the server, and holdouts we read. - Keep conversion data accurate. Event design, funnel definitions and readouts the team can rely on. - Own what you ship after launch. You watch it, read the result on the date you set, and decide whether we keep it, change it or remove it. - Build internal tools that let the team run more experiments with less manual work. WHAT WE'RE LOOKING FOR - You have run growth experiments end to end. You formed the hypothesis, designed the test, built it and read the result. Not advised on them, not analysed someone else's. - You write production code today. Strong React and TypeScript on the frontend, comfortable in Node.js and databases on the backend. Our stack is React, Node.js and Next.js. - You know what your volume can detect. You can size a test, say how long it needs to run, and tell us when a result is not readable. - SQL and analytics fluency. Funnels, cohorts, event design. - B2B SaaS experience. - You ship with Claude Code, Cursor or equivalent. - Product judgement. You can tell which changes need a test, which can ship without one, and which are not worth building. - Product taste. You care about how the things you ship look and feel. You can turn an idea into a screen that belongs in our product, and you know when to bring in our design team. BONUS POINTS - You set up an experimentation practice from scratch and grew it into a regular part of how the team works. - Product-led growth experience. Onboarding, activation, paywalls, pricing, checkout. - Acquisition experience. Website and signup experiments, SEO or paid funnels. - Experiments on low-volume B2B funnels, where only big changes are readable. - Experimentation platforms and feature flags. Statsig, GrowthBook, PostHog, or your own. - Billing and subscriptions. Stripe or similar. - You founded a company, or you were an early engineer at one. - Side projects and experiments you can show us. 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

Задачи: — Разрабатывать стратегии платных медиа, соответствующие бизнес-целям клиентов и ключевым метрикам. — Управлять прогнозированием и распределением бюджета в соответствии с квартальными и годовыми целями. — Проводить ежемесячные и квартальные обзоры с участием старших заинтересованных лиц: результаты, компромиссы, риски, дальнейшие действия. — Вести клиентские переговоры, направляя их к принятию решений, определению приоритетов и обязательных следующих шагов. — Использовать AI для поддержки стратегии кампаний, тестирования креативов и измерения эффективности. — Управлять портфелем из 4-7 B2B клиентов в качестве основного стратегического контакта. — Строить доверие с руководителями маркетинга, генерации спроса и исполнительными лицами. — Вести звонки с уверенностью: устанавливать повестку, контролировать ход, отвечать на сложные вопросы в реальном времени. — Сообщать о прогрессе, рисках и рекомендациях до того, как клиент задаст вопросы. — Обеспечивать выполнение договоренностей, чтобы каждый разговор заканчивался четкими действиями, ответственными и сроками. — Планировать, запускать и оптимизировать кампании в Google, Microsoft, LinkedIn и Meta Ads. — Обеспечивать целостность отслеживания конверсий (GA4, GTM, CRM); не запускать кампании без этого. — Диагностировать проблемы с производительностью на корневом уровне: отслеживание, структура, ставки, креативы или спрос. — Приоритизировать задачи по бизнес-эффекту, усилиям и реалистичности внедрения; проводить контроль качества перед запуском. Требования: — Опыт не менее 3 лет в B2B платных медиа, включая минимум 1 год в B2B SaaS. — Опыт работы на клиентской стороне в стратегической роли с ответственностью за коммуникации, а не только исполнение. — Достижения по целям MQL, SQL или pipeline для B2B клиентов. — Прямая ответственность за бюджет рекламы не менее $50k в месяц по нескольким аккаунтам. — Глубокие знания Google Ads и как минимум одной из платформ LinkedIn, Meta или Microsoft Ads. — Навыки работы с GA4, GTM и CRM-атрибуцией (HubSpot, Salesforce). — Сильные письменные и устные коммуникативные навыки для ведения переговоров с руководителями и защиты рекомендаций под давлением. Условия: — Полностью удаленная работа. — 5 недель оплачиваемого отпуска. — Конкурентная компенсация плюс квартальные бонусы. — Гибкий график работы (требуется 4 часа пересечения с 9:00 до 17:00 EST). — Оплачиваемое обучение (школы, мероприятия, конференции). — Для резидентов Канады — комплексное медицинское страхование, стоматология и уход за глазами. Особенности: — Роль ориентирована на ведение стратегических клиентских переговоров и управление отношениями, а не только на оптимизацию аккаунтов. — Требуется умение самостоятельно формулировать рекомендации и владеть результатами, при этом уверенно отвечать на вопросы старших руководителей в реальном времени.

Location: Germany; United Kingdom At WHOOP, we're on a mission to unlock and inspire performance for life. As WHOOP expands its global footprint, we are hiring a Marketplaces Lead to accelerate marketplace growth in the UK and EU. This individual will serve as a key regional marketing owner, responsible for executing digital campaigns, optimizing marketplace presence, and partnering cross-functionally to deliver performance across e-commerce platforms. You will play a vital role in ensuring WHOOP is positioned as the leading performance technology brand in the UK and EU. This role is based in Ireland or the UK. The successful candidate must be prepared to relocate. RESPONSIBILITIES: - Own regional marketing strategy and execution for key marketplaces across the UK and EU - Localize global campaigns, manage media budgets, and collaborate with the Brand team to ensure creative relevance, cultural resonance, and compliance with marketplace standards - Manage and optimize marketplace presence, including product detail pages (PDPs), brand stores, and merchandising strategies to maximize visibility and conversion - Monitor customer reviews, ratings, and feedback to drive continuous improvement in brand perception and engagement - Plan, execute, and optimize paid digital campaigns across search and display to achieve performance and efficiency goals - Serve as the primary liaison for marketplace partners, distributors, and agencies, ensuring brand consistency and flawless execution - Analyze marketing performance and marketplace trends, providing actionable insights to enhance conversion, engagement, and ROI - Evaluate and develop new marketplace opportunities in collaboration with Sales to expand WHOOP’s regional footprint QUALIFICATIONS: - 5-8 years of experience in digital or performance marketing within Amazon, e-commerce, retail, or consumer marketing - Demonstrated success managing campaigns and product visibility across Amazon or comparable marketplaces - Experience operating in multi-country, cross-functional environments, ideally within the UK and EU - Strong project management and executional skills, with attention to detail and a data-driven mindset - Excellent communication and stakeholder management skills, with comfort aligning regional and global priorities - Proficiency in using performance metrics to inform campaign optimization - Fluency in additional European languages - Passion for fitness, health, and technology - Willingness to travel regionally up to 15% Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The base salary range for this full-time position, if based in the UK, is £69,000 - £102,000. If based in Germany, the base salary range is €77,000 - €116,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц; — Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой; — Анализировать системные таблицы ClickHouse и состояние кластера; — Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц; — Планировать горизонтальное масштабирование ClickHouse-кластера; — Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера; — Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище; — Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям; — Настраивать и сопровождать ClickHouse Keeper / ZooKeeper; — Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия; — Разрабатывать и проверять backup/restore и disaster recovery; — Настраивать мониторинг, алерты и дашборды по ClickHouse; — Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты. — Администрировать продуктивные и тестовые инсталляции MariaDB; — Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов; — Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication; — Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах; — Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster; — Настраивать, сопровождать и диагностировать Galera Cluster; — Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски; — Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий; — Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO; — Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети; — Настраивать TLS/SSL для клиентских подключений и репликации; — Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB. — Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой; — Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации; — Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов; — Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах; — Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений; — Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production; — Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты; — Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения. Требования: — Практический опыт промышленной эксплуатации ClickHouse; — Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family; — Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой; — Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes; — Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений; — Опыт настройки TLS/SSL для ClickHouse; — Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде; — Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels; — Опыт настройки и диагностики репликации MariaDB; — Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации; — Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий; — Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO; — Опыт эксплуатации Linux-серверов; — Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB; — Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры; — Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга; — Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты; — Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата; — Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты. Желательные требования: — Опыт или уверенное понимание Galera Cluster; — Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем; — Опыт работы с большими объёмами данных: десятки или сотни ТБ; — Опыт работы с ClickHouse Keeper или ZooKeeper; — Опыт эксплуатации ClickHouse / MariaDB на bare metal; — Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами; — Опыт нагрузочного тестирования ClickHouse и MariaDB; — Опыт построения процедур disaster recovery; — Опыт подготовки архитектурных и эксплуатационных документов для заказчиков; — Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями; — Опыт проведения регламентных работ с минимальным downtime; — Опыт аудита продуктивных инсталляций у заказчиков. Условия: — Постоянная занятость; — Работа с продуктивной, тестовой и лабораторной инфраструктурой; — Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика; — Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.

Location: EMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. 👩‍💻 THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3. Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI capabilities. As a Senior Data Engineer focused on AI Platform, you’ll work at the intersection of data engineering, platform engineering, and applied AI. You’ll build the data pipelines, services, integrations, and reusable platform capabilities that power AI use cases across Oyster. You’ll leverage Oyster’s existing AWS and Snowflake data platform to make enterprise data accessible, reliable, secure, and useful for AI, supporting capabilities such as LLMs, RAG, embeddings, vector search, AI agents, tool calling, and AI workflows. This is not a traditional data engineering role focused primarily on analytics pipelines or reporting. You’ll help define and build the data and platform foundations that let AI systems move from experimentation to reliable production, working closely with Engineering, Product, IT, and other teams across Oyster. Key Responsibilities - Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows. - Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management. - Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns. - Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities. - Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems. - Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost. - Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable. - Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements. - Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster. Core Requirements - 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems. - Strong Python and SQL skills. - Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access. - Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar. - Hands-on experience building or supporting production systems using LLMs / generative AI. - Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems. - Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions. - Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability. - Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data. - Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions. Bonus - Experience with AWS Bedrock or other managed foundation-model platforms. - Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data. - Experience with LLM evaluation, observability, monitoring, or AI quality. - Experience with LangChain, LangGraph, or similar frameworks. - Experience with vector databases or search technologies. - Experience implementing AI security, governance, or responsible AI practices. - Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams. - Experience working across data engineering and AI/ML platform environments. YOU'LL ALSO NEED - A reliable home internet connection (or be able to get one). - Fluent English language skills. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.