Вакансии

— собирать данные и проводить анкетирование; — изучать отзывы игроков и выделять повторяющиеся замечания как выборку;

- Сбор, актуализация и ведение GDD: формализация существующих разрозненных наработок в единый структурированный документ. - Детальная проработка core loop и второстепенных механик.

Ты первый баингер в проекте: процессов и команды нет — всё выстраиваешь сам. — опыт Team Lead / hands-on — в приоритете;

Location: Bangkok, Thailand; Vietnam; Georgia; Indonesia; Philippines Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Lead PPC Specialist . Your main tasks will be: Own and evolve the global Paid Search strategy across our products portfolio, with primary responsibility for Google Ads and additional ownership of Microsoft Advertising where relevant; Lead, coach and develop the Paid Search team: set objectives, allocate workload, review performance, improve execution standards and support hiring and onboarding; Own portfolio-level budget allocation, forecasting and performance across products, markets and funnels, including Tier-1 geographies and six-figure+ monthly search spend; Design scalable account and campaign structures covering keyword strategy, match types, negative keywords, search-query mining, bidding, RSAs, DSA and Performance Max where appropriate; Lead the implementation and optimization of pLTV-based conversions and conversion values: partner with Analytics and Engineering to validate predicted lifetime value, conversion mapping, value uploads and signal quality, then use these signals in value-based Smart Bidding; Establish a rigorous experimentation program using Google Ads Experiments to A/B-test bidding strategies, campaign structures, match types, ads, landing pages and pLTV optimization approaches; Apply sound statistical methods to experiment design and interpretation, including hypothesis definition, sample-size and power considerations, confidence intervals, significance, seasonality and test contamination; Oversee conversion tracking, Enhanced Conversions, offline conversion imports, attribution and reporting across app, mobile web and desktop; identify data gaps and drive remediation; Analyze search demand, auction dynamics, marginal returns and conversion-funnel performance to identify scalable growth opportunities and present decision-ready recommendations; Collaborate with Analytics, Engineering, Product, CRO, Creative and Localization teams to improve acquisition economics and landing-page performance across international markets. We expect from you: Expert-level knowledge of Google Ads Search, including account architecture, keyword and search-query strategy, match types, negative keywords, RSAs, DSA, auction dynamics, policy compliance and international scaling; Advanced knowledge of Google Smart Bidding: Maximize Conversions, Target CPA, Maximize Conversion Value, Target ROAS, portfolio bid strategies and the conditions required for stable learning and scale; Hands-on experience implementing and optimizing campaigns against predicted lifetime value (pLTV) conversions or conversion values, including offline conversion imports, Enhanced Conversions, API-based value uploads, signal validation and bidding calibration; Proven experience designing and running A/B tests through Google Ads Experiments, including bidding, campaign structure, match-type, ad-copy and landing-page experiments; Strong statistical foundation: hypothesis formulation, experimental design, sample-size and power concepts, confidence intervals, statistical significance, variance, seasonality, multiple-testing risk and common sources of bias; Advanced understanding of performance economics and funnel metrics: CAC/CPA, pLTV, ROAS, LTV-to-CAC, payback period, conversion lag, marginal CPA/ROAS, CVR, CPC, CTR and impression share; Deep understanding of measurement and attribution across app, mobile web and desktop, including GA4, Google Tag Manager, Enhanced Conversions, offline conversion tracking and data-driven attribution; Advanced Excel/Google Sheets skills and working proficiency with SQL, BigQuery and BI tools for campaign, cohort and funnel analysis; Strong capability in budget allocation, forecasting, scenario modelling, marginal-return analysis, pacing and executive-level reporting for high-spend international accounts; Experience with Microsoft Advertising, Search Ads 360, Google Ads Scripts or other automation tools is a strong advantage; Proven ability to build scalable campaign-management, experimentation, analytics and quality-assurance processes for a team. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

- Розробка та ведення проєктних планів. - Формування цілей, дедлайнів та контроль етапів реалізації.

Location: Singapore Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Owns Mistral’s strategic relationship with EY across APAC. Manages the EY relationship and joint go-to-market end to end, delivering revenue and industry impact. Orchestrates multi-country pursuits spanning ASEAN (Malaysia, Thailand, Vietnam, Indonesia and the Philippines), Australia, India, Japan and Korea, owning the seating model, deal economics and partner governance through MD sign-off. Owns partner-leadership access at the change-maker level: AI practice leads, industry MDs and CTOs at regional and global level, including EY Consulting leadership. Architects and operationalises the APAC GSI Partner Playbook: the frameworks, co-sell motions, solution accelerators and delivery-readiness programmes needed to scale frontier AI regionally, including the sovereign AI narrative that differentiates Mistral in regulated markets. Location: Based in Singapore, with travel to ASEAN and APAC countries. What success looks like First 12 months - Executive relationships built across EY Consulting at AI practice lead, industry MD and CTO level, including EY’s Singapore hub and its practices across ASEAN and APAC countries. - A joint EY–Mistral GTM plan live: shared ICPs, vertical use cases, field plays and demand generation, with named account coverage across ASEAN and APAC countries. - One to two named, in-flight APAC deals of flagship scope and complexity, converted from or created through global agreements. - Partner-led and partner-attached pipeline delivered against the team target across sovereign AI, AI Studio and enterprise deployments. - Two to three multi-year GTM agreements or MOUs signed, covering revenue targets, co-sell motions, enablement and commercial frameworks. Key outcomes - Partner-influenced revenue from EY contributes a fifth or more of APAC annual bookings. - Mistral embedded in partner platforms, marketplaces, sovereign-cloud offerings and regional AI Lab programmes. - Certified EY delivery pods operational, with a stable base of partners delivering repeatable demand. Key responsibilities - Own the EY relationship and joint GTM across APAC: executive sponsorship, joint account planning, pursuit support and governance. - Own APAC GSI partner strategy, with EY as the anchor integrator. - Drive EY engagement across ASEAN and APAC countries from Singapore. - Convert or create global agreements and MPAs into named APAC deals; orchestrate multi-country pursuits across ASEAN and APAC countries. - Architect joint GTM: messaging, ICP alignment, vertical use-case strategy, field plays and demand generation. - Guide EY in building profitable Mistral service lines and certified delivery pods. - Lead deal orchestration: partner qualification, commercial alignment, seating model, deal economics and delivery planning. - Own partner scorecards, QBRs, pipeline reviews and performance analytics; ensure MPA, reseller/OEM and AI Lab frameworks are fit for multi-country use. Must have - 8–12+ years driving partner-led revenue with GSIs, hyperscalers, telcos or OEMs across APAC. - Has worked at EY, or has directly managed the EY relationship (alliance, partnership or account leadership), with first-hand knowledge of how EY Consulting operates, including its service lines, practice and industry structure, alliance model, decision-making, and how deals are sold, staffed and governed. - Demonstrated ability to manage a strategic GSI relationship and its joint GTM, operating at AI practice lead, industry MD and CTO level and converting or creating global agreements into named APAC deals. - Track record engaging C-suite and securing multi-year commercial frameworks. - Experience structuring multi-country pursuits, seating models and partner governance requiring MD-level sign-off, including across ASEAN and APAC countries. - Commercial acumen in AI/cloud: able to translate AI Studio, sovereign AI and GPUaaS into clear revenue models. Nice to have - Familiarity with model deployment, GPU infrastructure or AI Lab concepts. - Existing relationships within EY AI/Cloud practices. - Prior use of hyperscaler funding (ECIF, MACC, OCP), MDF or co-sell pipelines. - Exposure to sovereign AI or public-sector transformation in regulated APAC markets, including ASEAN. Ideal backgrounds Current or former EY Consulting leaders (alliance directors, AI/data practice leads, industry or sector leads), and leaders who have directly managed the EY relationship from a vendor, hyperscaler or technology partner side (e.g. senior partner sales managers at AWS, Microsoft or Google Cloud; partner account managers at Nvidia, Dell or HPE); regional or global alliance directors at Deloitte; GTM and strategic partnership leads at fast-growing AI, data or infrastructure vendors. Languages: English required. Mandarin, Japanese or Korean a bonus for multi-country engagement. Bahasa (Indonesia/Malaysia), Thai, Vietnamese or Filipino a plus for ASEAN engagement. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Manage and maintain IT systems in a cloud first environment. Provide friendly and unflappable technical support.

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion As our Talent Operations Coordinator, you’ll be the operational backbone of our hiring and onboarding efforts, blending hands-on coordination with process ownership. You’ll keep every candidate interaction running smoothly, make sure new hires start strong and stay supported after Day 1, and build the systems and data that help our teams scale. You will: - Master the art of interview scheduling across time zones, departments, and competing priorities with precision and efficiency - Own the interview lifecycle in Ashby end to end: keep stages, scorecards, and interviewer assignments accurate, and run regular data hygiene audits - Manage interviewer coordination and readiness, including scheduling, prep materials, feedback reminders, and calendar and room or video logistics - Be the go-to point of contact for candidates, providing clear communication, timely updates, and a professional experience throughout - Keep Ashby (our ATS) running smoothly and coordinate preboarding - Team up with the other Talent Operation team members to optimize processes, track key metrics, and turn recruiting data into actionable improvements - Get exposure to the broader People team and jump into various initiatives including talent research and onboarding support - Build and maintain templates, playbooks, and SOPs for scheduling, candidate communications, and preboarding to keep the process consistent and scalable - Track and report on core recruiting metrics (time to schedule, time to feedback, candidate NPS, offer acceptance rate) and flag bottlenecks - Partner with recruiters to source for a few select roles, including researching target companies, identifying and engaging prospects, and building talent pipelines - Plan and run post-onboarding sessions and check-ins, coordinating with managers, IT, and People Ops so new hires stay supported through their first weeks - Prepare presentations and training materials for onboarding and compliance programs. AI-NATIVE MINDSET We work smarter by leveraging AI. You should be comfortable with tools like Claude, Gemini, and Ashby's AI features, whether that's streamlining communication, automating repetitive tasks, or spotting efficiency wins. You'll help champion AI adoption across the talent team and find new opportunities to improve how we work. YOU BRING - 4-7 years of experience in talent operations and recruiting coordination - Exceptional organizational skills with an operations-first mindset: you thrive on systems, processes, and keeping multiple moving parts running seamlessly - Outstanding written and verbal communication: you're articulate, clear, and professional in every interaction - An AI-native approach: you're already using tools like Claude and Gemini effectively and you're excited to expand their application - Proficiency with ATS platforms (Ashby experience is a plus) and Google Workspace - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Amsterdam Workplace: OnSite About Us Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in the service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, and more countries soon, love running on Tebi. About the Role You'll be the second pair of hands on IT support at Tebi, joining our team to keep a fast-growing, hybrid team equipped, unblocked, and moving. From the moment someone joins, the tools they use every day, you'll shape how it feels to work here. You'll take real ownership of your slice of the fleet, with the autonomy to make calls and the judgment to know when to loop others in. What You'll Do - Manage the IT onboarding seamlessly, hardware ready and configured before day one, for office and remote hires alike. - Own IT off-boarding and recover hardware when someone leaves. - Manage the devices, procurement, shipping, inventory, and repairs. - Administer MDM, Jamf Pro enrolment and profile management for Mac and iPad. - Handle systems,Google Workspace, provisioning, and access management. - Be a first line of support, troubleshoot daily issues and escalate real security concerns. What You'll Bring - 3+ years of hands-on IT support or systems administration experience. - Comfort owning a broad scope autonomously, without close supervision. - Clear communication, equally at ease with a non-technical colleague or a vendor. - Hands-on MDM experience, ideally with Jamf Pro. - A solid grasp of identity and systems administration, including Google Workspace. - Security awareness, you can spot phishing or access risks and know when to flag them. Benefits - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don't. It's a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it's a €4 Trillion+ global market and a critical part of everyday life in today's economy. How We Use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn't make the last call. If there's a smarter way to do something, we want to find it.

Задачи: — Анализировать эффективность маркетинговых активностей и искать точки роста — Разрабатывать и поддерживать систему аналитической отчетности — Работать с маркетинговой командой над аналитическими инструментами — Собирать, обрабатывать и анализировать большие объемы данных (Python, SQL) Требования: — От 3 лет опыта в маркетинговой аналитике — Отличное знание Python и SQL — Понимание статистики, A/B-тестирования и маркетинговых метрик (CPM, CPC, CPI, CPA, ROAS) — Знание принципов атрибуции мобильных и веб-приложений — Сильное аналитическое мышление — Опыт в fintech и знание Google Ads/Facebook Ads — плюс — В первую очередь рассмотрим кандидатов, которые уже находятся на Кипре Условия: — Работа в современном офисе в Лимасоле (15 минут от моря) — High-load продукт и сильная команда профессионалов — Гибкое начало рабочего дня — 22 рабочих дня отпуска — Обеды, снеки, компенсацию спорта — Курсы английского и греческого — Корпоративные мероприятия, спорт и активное комьюнити

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus We are looking for a PSP Operations Specialist to help manage day-to-day payment operations and resolve payment-related issues. You will work closely with our Head of PSP, Support team, developers, and payment providers to investigate failed transactions, coordinate issue resolution, and ensure smooth payment processing. This is a great opportunity for someone with initial experience in fintech, payments, or customer support who wants to develop their expertise in payment operations. Key Responsibilities Monitor payment transactions and investigate failed, declined, or delayed payments. Help the Support team resolve payment-related questions and customer complaints. Check transaction statuses, payment logs, and provider responses to identify potential issues. Communicate with payment providers to investigate problems and follow up on their resolution. Coordinate with developers and other teams to resolve payment-related issues. Track open requests, provide status updates, and escalate complex or critical incidents. Identify recurring payment issues and share findings with the team. Assist with payment performance monitoring, operational reports, and internal documentation. Support operational tasks related to new merchants and payment methods. Manage relationships with Service Providers Requirements Around 1 year of experience in fintech, payment operations, customer support, or a similar role. Basic understanding of payment processing and willingness to learn about PSPs and payment methods. Good analytical skills and attention to detail. Comfortable working with Excel or Google Sheets. Good communication skills and ability to coordinate with different teams. Proactive approach to problem-solving and ability to follow tasks through to completion. Fluent in Russian and strong written English skills for day-to-day communication with international payment providers and partners. Nice to Have Experience in a fintech company or payment service. Basic knowledge of card payments, APMs, or local payment methods. Familiarity with transaction statuses, decline codes, or payment logs. Experience with CRM, ticketing systems, or operational tools. What we offer Full relocation support and working visa sponsorship Competitive salary Days off when you need them What awaits you Working in a small and fast-paced Scrum team A practical role where you can influence how we work with data No bureaucracy - we focus on practical solutions and common sense Pleasant colleagues and a healthy internal culture A non-toxic environment with respect for work-life balance (we turn off Slack during vacations) You don't need to know everything about payment operations from day one. We value curiosity, attention to detail, and a willingness to learn.

Location: Colombia About the Role We're hiring an Ops & Marketing Project Manager to be the organization backbone of a small, fast-moving team. Plans get made in Slack, work gets briefed in Notion, and the gap between those two is where things quietly die. You're the person who closes that gap. This role sits primarily on the operations side of our home fragrance brand. You'll own wholesale operations end to end, and you'll be the one keeping product development, inventory, and production moving: chasing suppliers, holding timelines, building the project boards, and making sure nothing sits waiting on an answer nobody asked for. You'll also own the marketing calendar and the project flow behind it. Our marketing team moves fast across website, paid, email, and creator work, and it needs someone who makes sure that once something is decided it has an owner, a date, a dependency map, and someone chasing it. You're not deciding what we launch. You're the person who knows the status of everything, without being asked. We're an AI-forward company, and this is an AI-forward role. Claude is part of how this team works every day, not a side experiment. We expect you to build your systems, SOPs, trackers, and reporting with AI in the loop, and to keep finding the places where it takes busywork off your plate and off the plates of the people around you. You don't need a technical background. You do need real curiosity and the willingness to make it part of how you work. What You'll Do Own wholesale day to day: processing orders, charging payments, creating shipments and inbounds, and the customer service that comes with it Create 3PL orders for suppliers, samples, and anything else needed Write the SOPs as you go, so the function can be handed to a dedicated coordinator over time. Designing your own replacement here is part of the job, not a threat to it Product Development, Inventory, and Production Supplier follow-up, cost comparisons, timelines, and project boards across new products and packaging Stay closely on top of production status and timelines, and flag slippage early enough that we can do something about it Support inventory operations and learn the fundamentals of production from the team, with room to take on more here over time The Marketing Calendar Own a single calendar across brands and channels: website, paid creative, email and SMS, creator and UGC, promotions, and product launches Hold the dates. Work backwards from the launch date rather than forwards from today, so creative, approvals, and builds land in the right order Turn strategy into briefed work. When a plan arrives as ten line items with five names attached, you break it into owned tasks with real dates and confirm who has what Catch collisions before they cost a day: duplicate briefs, two designers on the same asset, work blocked on an approval nobody requested Run the weekly cadence. What shipped, what slipped and why, and what's at risk next week, published without being asked for it Systems, Notion, and AI Own Notion as the system of record for these areas: structure, templates, status hygiene, and getting people to actually use it Build real systems where only informal structure exists today, then keep them alive. A board nobody updates is worse than no board Use AI to build and run those systems, from drafting SOPs and briefs to pulling together reporting and tracking what's outstanding Keep creator and partnership records, contracts, and payments accurate and moving, in step with finance and the partnerships team Requirements What We're Looking For Exceptional organization. This is the single most important quality for this role 3+ years managing multiple concurrent projects across teams Operations experience in e-commerce, consumer brands, wholesale, or supply chain Direct marketing experience, ideally owning or running a marketing calendar across channels You already use AI seriously in your own work, and you can show us how. We care more about how you think with it than which tools you've touched Hands-on Notion experience. You've built databases and views that other people relied on, not just filled in someone else's Experience working inside a CRM and keeping it clean and current (Folk, HubSpot, Salesforce, Klaviyo, or similar) Strong follow-through. You're persistent with suppliers, vendors, and teammates until you get an answer The instinct to surface problems early, with a recommendation attached Strong written communication. Most of this job happens in writing, across time zones Strong English communication skills Strong Excel and Google Sheets skills, and comfort across Word, PowerPoint, and Google's suite of tools Nice to Have Wholesale or B2B operations experience, including basic customer service Familiarity with Shopify, Cin7, Klaviyo, or Figma Experience with product development or packaging timelines Benefits 💰 Competitive salary in USD 🕒 Flexible working schedule 🌎 100% remote, long-term career opportunity

Location: Colombia; Argentina; Brazil; Mexico; Peru; Venezuela, Bolivarian Republic of 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 startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, optimizing campaigns for profitability, and driving measurable business growth. You should be highly skilled in Meta Ads Manager, audience targeting, creative testing, conversion tracking, and scaling strategies. This is an exciting opportunity to take ownership of paid social campaigns for a growing international business and make a direct impact on revenue and customer acquisition. Key Responsibilities Campaign Management: Plan, launch, manage, and optimize Meta advertising campaigns across Facebook and Instagram. Performance Optimization: Continuously improve ROAS, CPA, CPL, CTR, and conversion rates to maximize advertising profitability. Budget Management: Manage and scale significant monthly advertising budgets while maintaining strong performance. Creative Strategy: Collaborate with creative teams to develop high-converting ad creatives, messaging, and testing frameworks. Audience Targeting: Build and refine prospecting, retargeting, and lookalike audience strategies. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. A/B Testing: Execute structured experiments across creatives, audiences, placements, and campaign strategies. Analytics & Reporting: Monitor performance, identify opportunities, and provide actionable insights and recommendations. Scaling Strategy: Develop and execute strategies to scale winning campaigns while maintaining efficiency. Cross-Functional Collaboration: Work closely with marketing, creative, and leadership teams to align paid media campaigns with business objectives. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering measurable ROI. Advanced proficiency in Meta Ads Manager and Meta Business Suite. Strong understanding of campaign structures, bidding strategies, audience segmentation, and conversion optimization. Experience managing substantial advertising budgets with clear performance accountability. Strong knowledge of Meta Pixel, Conversions API, attribution models, and event tracking. Experience developing creative testing strategies and identifying winning ad concepts. Strong analytical skills with the ability to interpret campaign data and make informed optimization decisions. Familiarity with Google Analytics 4 (GA4), Google Tag Manager, and reporting dashboards. Excellent English communication skills, both written and verbal. Ability to work independently, take ownership of results, and thrive in a fast-paced remote environment. Nice to Have Experience managing Meta Ads for eCommerce, DTC brands, lead generation businesses, or digital marketing agencies. Experience with Shopify, landing page optimization, and conversion rate optimization (CRO). Familiarity with third-party attribution platforms such as Triple Whale, Hyros, or Northbeam. Experience managing six-figure monthly advertising budgets. Meta Blueprint certifications. Experience mentoring junior media buyers or leading paid social strategy. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Bulgaria; Montenegro; Kosovo; Bosnia and Herzegovina; North Macedonia; Slovenia 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 startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, generating measurable ROI, and developing paid social strategies that drive customer acquisition and revenue growth. You should be confident taking full ownership of Meta advertising accounts, analyzing campaign performance, testing creative strategies, and scaling successful campaigns while maintaining profitability. Key Responsibilities C ampaign Strategy & Execution: Plan, launch, manage, and optimize Meta Ads campaigns across Facebook and Instagram. Budget Management: Manage and strategically allocate advertising budgets to maximize ROAS and minimize customer acquisition costs. Campaign Optimization: Continuously optimize campaigns based on CPA, CPL, CTR, CPC, conversion rates, and ROAS. Audience Targeting: Develop and test prospecting, retargeting, lookalike audience, and broad targeting strategies. Creative Testing: Collaborate with creative teams to develop, test, and refine high-converting ad creatives, copy, and messaging. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Performance Reporting: Build and present detailed performance reports with actionable insights and recommendations. Scaling Campaigns: Identify winning campaigns and scale advertising spend efficiently without compromising profitability. Funnel Optimization: Analyze landing pages, conversion funnels, and customer journeys to improve overall campaign performance. Platform Expertise: Stay updated on Meta advertising algorithm changes, platform updates, and paid social best practices. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering strong ROI/ROAS. Advanced proficiency with Meta Ads Manager, Meta Business Suite, and Events Manager. Strong understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Hands-on experience managing significant monthly advertising budgets. Expertise in Meta Pixel, Conversions API, conversion tracking, and attribution. Proven ability to develop and execute structured A/B testing strategies. Strong analytical skills and experience using GA4, Looker Studio, or similar reporting tools. Experience working with e-commerce brands, lead generation businesses, or digital marketing agencies. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and deliver results in a fast-paced remote environment. A strong portfolio or case studies demonstrating measurable campaign performance and successful scaling. Nice to Have Experience with Shopify, WooCommerce, or other e-commerce platforms. Familiarity with Google Ads, TikTok Ads, or other paid acquisition channels. Experience managing multiple client advertising accounts simultaneously. Knowledge of landing page optimization, CRO, and marketing automation. Previous experience working with UK, US, or international clients. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Albania; Bosnia and Herzegovina; Slovenia; Kosovo; Croatia; Bulgaria 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 startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a results-driven Meta Ads Specialist with 2–3+ years of hands-on experience managing and optimizing paid advertising campaigns across Facebook and Instagram. The ideal candidate has a strong understanding of Meta Ads Manager, audience targeting, creative testing, conversion tracking, and performance optimization. You should be comfortable managing advertising budgets, analyzing campaign performance, and implementing data-driven strategies to maximize return on ad spend (ROAS). This is an excellent opportunity for a performance marketer looking to take ownership of paid social campaigns and drive measurable business growth. Key Responsibilities Plan, launch, manage, and optimize Facebook and Instagram advertising campaigns using Meta Ads Manager. Develop and execute paid social strategies focused on lead generation, conversions, customer acquisition, and revenue growth. Monitor and optimize key performance metrics, including ROAS, CPA, CPL, CTR, CPC, and conversion rates. Conduct audience research, build custom and lookalike audiences, and implement retargeting strategies. Perform A/B testing across ad creatives, copy, audiences, placements, and campaign structures. Collaborate with creative teams to develop high-performing ad content. Manage campaign budgets effectively and identify opportunities to scale successful campaigns. Implement and troubleshoot Meta Pixel, Conversion API (CAPI), and conversion tracking. Prepare regular performance reports and provide actionable recommendations to improve results. Stay updated on Meta advertising platform changes, best practices, and emerging paid social trends. Requirements 2–3+ years of proven experience managing Meta (Facebook and Instagram) advertising campaigns. Strong proficiency in Meta Ads Manager and Meta Business Suite. Demonstrated experience running conversion-focused and/or lead generation campaigns. Solid understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Experience with Meta Pixel, conversion tracking, and retargeting campaigns. Ability to analyze advertising data and make informed optimization decisions. Experience with A/B testing and creative performance analysis. Familiarity with Google Analytics 4 (GA4) and reporting tools. Strong analytical, problem-solving, and communication skills. Excellent written and spoken English. Ability to work independently in a remote environment and collaborate with international teams. Nice to Have Experience managing Meta Ads for eCommerce, SaaS, lead generation, or agency clients. Familiarity with Shopify, WordPress, or landing page builders. Experience with Google Tag Manager and Conversion API integrations. Experience managing multiple advertising accounts or substantial monthly ad budgets. Knowledge of funnel optimization and conversion rate optimization (CRO). Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Croatia; Bulgaria; Kosovo; North Macedonia; Slovenia; Serbia About Huzzle At Huzzle, we connect exceptional professionals with global companies across the US, UK, Canada, Europe, and Australia. We work with startups, digital agencies, and technology companies across industries such as SaaS, MarTech, FinTech, and EdTech. Our focus is on matching top sales talent with full-time remote opportunities, where they join client teams directly while receiving ongoing support from Huzzle. Job Summary We are looking for a results-driven Performance Marketer to join a growing international team. This is an exciting remote opportunity for a data-driven marketing professional who enjoys optimizing campaigns, increasing customer acquisition, and achieving measurable business results. The ideal candidate will have hands-on experience managing paid advertising campaigns across various digital channels, analyzing key performance metrics, and developing strategies to maximize return on investment. This role is well-suited to professionals seeking a remote performance marketing opportunity with room for growth and long-term career development. Key Responsibilities Plan, launch, and optimize paid advertising campaigns across platforms such as Google Ads, Meta Ads, LinkedIn Ads, and other digital channels. Track campaign performance and analyze key metrics, including ROAS, CPA, CAC, CTR, and conversion rates. Conduct audience research, keyword analysis, and competitor research to uncover new growth opportunities. Design and implement A/B tests for ad creatives, landing pages, and campaign strategies. Work closely with content, design, and sales teams to enhance campaign performance and improve lead quality. Allocate and manage advertising budgets effectively to maximize return on investment. Compile regular performance reports and share actionable insights with relevant stakeholders. Monitor customer acquisition funnels and identify areas for improvement and optimization. Keep up with digital marketing trends, advertising platform updates, and emerging technologies. Contribute to lead generation, demand generation, and overall revenue growth initiatives. Requirements Proven experience managing campaigns on Google Ads, Meta Ads, LinkedIn Ads, or similar platforms. Strong analytical skills with the ability to interpret marketing data and make data-driven decisions. Experience with analytics tools such as Google Analytics, Looker Studio, or similar reporting platforms. Understanding of conversion tracking, attribution models, and marketing funnels. Excellent communication and collaboration skills. Ability to manage multiple campaigns and priorities simultaneously. Experience in SaaS, eCommerce, B2B, or digital agency environments is an advantage. Proficiency with marketing automation and CRM tools is a plus. Benefits 💻 Work from anywhere while collaborating with international teams. 🚀 Career Growth: Explore opportunities with companies across SaaS, MarTech, and B2B services. 🤝 Peer Community: Connect and network with high-performing professionals. 🧭 Ongoing Support: Get continued guidance and support from Huzzle before and after placement.