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Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | 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 is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $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: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: In this position, you'll play a crucial role in shaping our go-to-market strategy and driving data-informed decision-making within the Japan/APAC region. This position sits at the intersection of sales, strategy, and operations, offering the opportunity to significantly impact Notion's growth trajectory. You'll work closely with sales leadership and cross-functional teams to optimize processes, deliver actionable insights, and support key strategic initiatives. You will report directly to the Head of Field Strategy & Operations. WHAT YOU'LL ACHIEVE: - Partner with Japan leadership team to define and drive strategy (e.g. territory mapping, long-term account planning, geographic expansion) and results for the region by conducting insightful analysis on local Japan markets and customers while providing support for other APAC priorities as needed. - Support regional sales leaders and sales teams in achieving their goals by providing actionable insights and visibility to sales performance metrics - Build reporting and presentations for Japan/APAC sales leadership to update on the state of the business, both up and across the organization - Act as a partner to the Japan/APAC sales team, providing hands-on operational support to drive deals forward and advising with decision-making - Enable smooth, efficient deal execution by supporting day-to-day deal operations, including opportunity hygiene, quote preparation, and coordination of approvals and internal handoffs, helping sellers navigate processes and remove friction throughout the deal lifecycle - Partner with the GTM Systems team to continuously enhance our sales technology stack to provide both a best-in-class experience for our sellers and a robust sales data environment - Work with cross-functional teams including Legal, Finance, Product, Marketing, etc. as the primary operational counterpart on behalf of the Japan/APAC sales org - Maintain and embed global sales policies, processes, and procedures, driving discipline with regards to strategy execution - Support global planning process locally, including target setting, capacity modeling, territory carving, etc. - Surface on-the-ground observations and insights to global sales and RevOps leadership SKILLS YOU'LL NEED TO BRING: - 5+ years of strategy, operations, and analytics experience with a track record of driving growth - working in sales operations, preferably in a high-growth SaaS environment - Expertise to quickly drill down into the business funnel for outbound and inbound sales motions, and how that connects to revenue - Excellent analytical and quantitative modeling skills; ability to analyze and interpret data, provide actionable insights, and deliver measurable results - Expert proficiency with core sales tools (e.g. Salesforce, Gong, Outreach, etc.) and best practices for sales data management - Ability to apply AI-powered tools to accelerate analysis, uncover trends, and translate complex sales data into actionable business insights. Comfortable framing analytical questions, iterating on prompts, and validating AI-generated outputs with sound business judgment and rigorous data checks, while handling sensitive information responsibly - Strong collaborator, works well with stakeholders, gains trust, enjoys working with people - Demonstrates a senior presence and can convey complex information to executives clearly and concisely; can resolve tradeoffs. Effective communicator across levels and audiences - Hands on and proactive, with a builders mentality. - Maintaining high ownership mentality, demonstrated by developing projects of >6-12 months length - Notion power user or desire to learn -- prior Notion experience is not required, but you have the ability and desire to become a pro #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive for the Northeast region, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on strategic enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across the Northeast, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing major accounts. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, strategic enterprise accounts in the Northeast United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Knowledge of the Northeast enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on the Northeast, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Northeast region. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $110,800 — $186,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

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: 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: North Macedonia; Serbia; Bulgaria; Albania; Kosovo; Bosnia and Herzegovina 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, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are looking for a Senior Google Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Google Ads campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing significant advertising budgets, optimizing campaigns for maximum ROI, and driving measurable business growth. You'll take ownership of paid search strategies, campaign execution, performance analysis, and ongoing optimization while working closely with marketing teams and key stakeholders. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, YouTube, and Performance Max. Develop and execute paid advertising strategies focused on lead generation, conversions, ROAS, and customer acquisition. Manage substantial monthly advertising budgets while maximizing campaign efficiency and profitability. Conduct in-depth keyword research, competitor analysis, audience targeting, and bid optimization. Monitor and improve key performance metrics, including CPA, CPC, CTR, conversion rates, and ROAS. Implement and troubleshoot conversion tracking using Google Tag Manager, GA4, and Google Ads. Run A/B tests on ad copy, landing pages, bidding strategies, and audience segments. Analyze campaign performance and provide actionable recommendations to improve results. Create detailed performance reports and communicate insights to clients and internal stakeholders. Stay up to date with Google Ads platform updates, automation, and performance marketing best practices. Requirements 4–5+ years of professional experience managing Google Ads campaigns, preferably in an agency or high-growth business environment. Proven track record of scaling successful Google Ads campaigns and delivering measurable ROI. Advanced knowledge of Google Search Ads, Performance Max, Display, Shopping, and remarketing strategies. Strong experience managing and optimizing substantial monthly ad spend. Proficiency in Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking. Strong understanding of bidding strategies, attribution models, and conversion rate optimization (CRO). Excellent analytical skills with the ability to translate campaign data into actionable business insights. Experience with Google Looker Studio, reporting dashboards, and performance analysis. Strong communication skills and confidence presenting campaign results to stakeholders. Ability to independently manage multiple campaigns, prioritize tasks, and meet performance targets. Excellent written and spoken English. Nice to Have Google Ads certifications. Experience managing paid media campaigns for international markets, particularly the US, UK, or Australia. Experience with Meta Ads, Microsoft Ads, or other paid advertising platforms. Experience working with SaaS, eCommerce, lead generation, or B2B companies. Familiarity with landing page optimization and marketing automation tools. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders

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: Argentina; Colombia; Mexico; Chile; Costa Rica; 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, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are looking for a Senior Google Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Google Ads campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing significant advertising budgets, improving return on ad spend (ROAS), and driving measurable business growth. You should be confident taking full ownership of Google Ads accounts, developing paid search strategies, analyzing campaign performance, and delivering consistent results. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, YouTube, and Performance Max. Develop and execute paid advertising strategies focused on lead generation, conversions, and revenue growth. Manage and optimize advertising budgets to maximize ROAS and reduce cost per acquisition (CPA). Conduct keyword research, competitor analysis, audience targeting, and campaign restructuring. Implement and troubleshoot conversion tracking using Google Tag Manager (GTM), Google Analytics 4 (GA4), and Google Ads. Continuously run A/B tests on ad copy, landing pages, bidding strategies, and targeting. Analyze campaign performance and identify opportunities to improve conversion rates and profitability. Create clear performance reports and communicate actionable insights to stakeholders. Stay updated on Google Ads platform changes, automation, and industry best practices. Take full ownership of campaign performance and proactively recommend improvements. Requirements 4–5+ years of proven, hands-on experience managing Google Ads campaigns. Advanced knowledge of Google Ads, including Search, Shopping, Display, and Performance Max. Demonstrated success managing and scaling advertising budgets while maintaining strong performance. Strong understanding of ROAS, CPA, CPC, CTR, conversion rates, and other key performance metrics. Proficiency in Google Analytics 4, Google Tag Manager, and conversion tracking. Experience with campaign optimization, bidding strategies, audience segmentation, and remarketing. Strong analytical skills with the ability to translate data into actionable strategies. Experience working with international clients, preferably in the UK, US, or Australian markets. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and meet performance targets. Nice to Have Google Ads certifications. Experience managing paid media for digital marketing agencies. Experience with eCommerce, SaaS, B2B lead generation, or service-based businesses. Familiarity with Looker Studio, Google Merchant Center, and landing page optimization. Experience managing high-budget or multi-account Google Ads portfolios. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders

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: Colombia; Argentina; Mexico; Costa Rica; Venezuela, Bolivarian Republic of; Peru 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, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are lookingfor a results-driven Google Ads Specialist with 2–3+ years of hands-on experience managing and optimizing paid search campaigns. In this fully remote role, you'll work with a growing international company to plan, execute, and optimize Google Ads campaigns that drive qualified traffic, generate leads, and maximize return on ad spend (ROAS). The ideal candidate is analytical, detail-oriented, and confident managing campaigns independently. You should have a strong understanding of Google Ads, conversion tracking, keyword strategies, and performance optimization. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, and Performance Max, as relevant to business goals. Conduct keyword research, competitor analysis, and audience targeting to identify growth opportunities. Monitor campaign performance and optimize bids, budgets, ad copy, and targeting to improve ROI and ROAS. Manage campaign budgets efficiently while maintaining strong performance against KPIs. Set up, monitor, and troubleshoot conversion tracking using Google Tag Manager and Google Analytics 4 (GA4). Conduct A/B testing on ad creatives, landing pages, and campaign strategies to improve conversion rates. Analyze campaign data and prepare clear performance reports with actionable recommendations. Identify opportunities to reduce cost per acquisition (CPA) and improve lead quality. Collaborate with marketing, creative, and sales teams to align paid advertising strategies with business objectives. Stay updated on Google Ads platform changes, industry trends, and PPC best practices. Requirements 2–3+ years of hands-on experience managing Google Ads campaigns, preferably for agencies, eCommerce brands, or lead generation businesses. Proven experience managing and optimizing Google Search campaigns. Strong knowledge of Google Ads campaign structures, bidding strategies, keyword match types, and negative keywords. Experience with Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking. Ability to analyze campaign performance and make data-driven optimization decisions. Experience managing advertising budgets and working toward measurable performance targets. Familiarity with Performance Max, Display, Shopping, or YouTube Ads is an advantage. Strong understanding of key PPC metrics, including CTR, CPC, CPA, conversion rate, and ROAS. Excellent written and verbal English communication skills. Strong organizational skills, attention to detail, and ability to manage multiple campaigns independently. Experience working with international clients or marketing agencies is a plus. Google Ads certifications are advantageous but not mandatory. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders

Location: Ethiopia; Botswana; Sri Lanka; Egypt 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 growing technology-focused company looking for a driven Account Executive to take ownership of the sales process, build strong customer relationships, and consistently deliver revenue growth. This is an excellent opportunity for a sales professional who is confident managing prospects from initial qualification through to closing and enjoys working in a fast-paced, performance-driven environment. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring an experienced, results-driven Account Executive (AE) with 3–4+ years of B2B sales experience and a proven track record of closing deals. This is a closing-focused sales role for someone who knows how to take qualified opportunities through the sales process, handle objections, negotiate confidently, and turn prospects into paying customers. We're looking for a true closer — not someone whose experience is limited to prospecting, appointment setting, or lead generation. The ideal candidate has consistently achieved sales targets, managed a pipeline independently, and can demonstrate measurable revenue generated from deals they personally closed. Key Responsibilities Own the sales cycle from qualified opportunity to signed contract. Conduct discovery calls, product demonstrations, and sales presentations with decision-makers. Close B2B deals consistently , converting qualified opportunities into paying customers. Manage objections, negotiate pricing and contract terms, and secure commitments. Build relationships with key stakeholders and senior decision-makers. Maintain an accurate sales pipeline and forecasts using CRM platforms such as HubSpot or Salesforce. Follow up strategically with prospects to move opportunities through the pipeline. Consistently meet or exceed monthly and quarterly revenue targets. Collaborate with SDRs, marketing, and leadership teams to maximize conversion rates. Requirements 3–4+ years of proven B2B sales experience, ideally in an Account Executive or closing-focused role. Demonstrable closing experience is mandatory — you must have personally owned and closed deals, not just booked meetings or generated leads. Proven track record of meeting or exceeding sales quotas and revenue targets. Experience managing deals from discovery through negotiation to signed agreement. Strong objection-handling, negotiation, and closing skills. Confidence selling to business owners, senior stakeholders, and decision-makers. Experience using CRM systems such as HubSpot, Salesforce, or Pipedrive. Excellent spoken and written English communication skills. Ability to work independently in a remote, target-driven sales environment. Comfortable discussing previous sales performance, including quota attainment, average deal size, and closed revenue. Nice to Have Experience selling SaaS, technology, marketing services, or other B2B solutions. Experience selling into UK, US, or international markets. Experience closing deals through video calls and remote sales processes. Familiarity with structured sales methodologies such as MEDDIC, SPIN, or Challenger Sales. Benefits 💰 Competitive salary and uncapped commission structure 🌎 Fully remote work environment 🚀 Career growth and leadership opportunities 📈 Long-term stability in a growing market 🎯 Performance-based incentives and bonuses

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.

Location: Argentina; Colombia; Mexico; Brazil; Costa Rica; Chile 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. In this role, you'll take ownership of Meta advertising campaigns, from strategy and setup to optimization, reporting, and scaling. You'll work closely with marketing and creative teams to drive measurable results, improve return on ad spend (ROAS), and generate high-quality leads or conversions. This is an excellent opportunity for a performance marketer who enjoys testing new strategies, analyzing data, and scaling successful campaigns. Key Responsibilities Plan, launch, manage, and optimize paid advertising campaigns across Facebook and Instagram using Meta Ads Manager. Develop and execute performance marketing strategies focused on lead generation, customer acquisition, and conversions. Monitor and optimize key performance metrics, including ROAS, CPA, CPL, CTR, CPC, and conversion rates. Conduct A/B testing across ad creatives, copy, audiences, placements, and campaign structures. Manage campaign budgets effectively and scale high-performing campaigns. Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Collaborate with creative and marketing teams to develop high-converting ad creatives and messaging. Analyze campaign performance and provide actionable insights and recommendations. Create regular performance reports highlighting results, opportunities, and areas for improvement. Stay up to date with Meta advertising platform changes, trends, and best practices. Requirements 2–3+ years of hands-on experience managing Meta Ads (Facebook and Instagram) campaigns. Proven experience running and optimizing conversion-focused paid advertising campaigns. Strong understanding of Meta Ads Manager, Business Manager, and campaign structures. Experience managing advertising budgets and improving campaign performance. Solid knowledge of audience targeting, retargeting, lookalike audiences, and campaign optimization. Experience with Meta Pixel, conversion tracking, and attribution. Strong analytical skills and ability to interpret advertising performance data. Experience with A/B testing, creative testing, and campaign scaling. Familiarity with Google Analytics (GA4), Google Tag Manager, or other analytics tools. Excellent English communication skills, both written and verbal. Ability to work independently, manage multiple campaigns, and meet deadlines in a remote environment. Nice to Have Experience managing Meta Ads for eCommerce, SaaS, lead generation, or digital agencies. Experience with Shopify, landing page builders, or CRM platforms. Familiarity with creative strategy and direct-response copywriting. Experience working with international clients, particularly in the UK, US, or Australian markets. Meta Blueprint certifications or other relevant digital marketing qualifications. 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: Romania; North Macedonia; Croatia; Slovenia; Bosnia and Herzegovina; 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 fast-growing startups, digital agencies, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We're looking for a results-driven Google Ads Specialist with 2–3+ years of hands-on experience managing and optimizing paid advertising campaigns. In this mid-level role, you'll be responsible for building, managing, and scaling Google Ads campaigns that generate high-quality leads, drive conversions, and deliver measurable ROI. The ideal candidate is analytical, detail-oriented, and confident managing campaigns independently. You should have a strong understanding of Google Ads, conversion tracking, campaign optimization, and performance reporting. This is an exciting opportunity for a performance marketer looking to take ownership of campaigns, work with international teams, and grow their career in digital advertising. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Performance Max, and YouTube where relevant. Conduct keyword research, competitor analysis, and audience targeting to identify growth opportunities. Monitor and optimize campaign performance against key metrics, including CPC, CTR, CPA, ROAS, and conversion rates. Manage advertising budgets effectively to maximize campaign ROI. Write compelling ad copy and test different creatives, messaging, and landing pages. Implement and troubleshoot conversion tracking using Google Tag Manager and Google Analytics 4 (GA4). Conduct A/B testing and continuously improve campaign performance. Analyze campaign data and provide clear, actionable performance reports. Collaborate with marketing, creative, and sales teams to align campaigns with business objectives. Stay up to date with Google Ads platform updates, advertising trends, and industry best practices. Requirements 2–3+ years of hands-on experience managing Google Ads campaigns, ideally within a digital marketing agency or performance marketing environment. Proven experience managing and optimizing Google Search campaigns, with exposure to Performance Max, Display, or YouTube advertising. Strong knowledge of Google Ads campaign structures, bidding strategies, keyword targeting, and optimization techniques. Experience using Google Analytics 4 (GA4) and Google Tag Manager. Ability to independently manage advertising budgets and make data-driven optimization decisions. Solid understanding of conversion tracking, attribution, and performance marketing metrics. Experience conducting A/B tests and improving campaign conversion rates. Strong analytical and problem-solving skills with excellent attention to detail. Excellent written and verbal English communication skills. Ability to work independently in a fast-paced, remote environment. Comfortable presenting campaign results and recommendations to internal stakeholders or clients. Nice to Have Google Ads certifications. Experience managing campaigns for UK, US, or other international markets. Experience with lead generation campaigns for B2B, SaaS, or service-based businesses. Familiarity with Looker Studio, CRM platforms, and landing page optimization. Experience managing multiple advertising accounts simultaneously. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders

Location: South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Job Type: Full-time About the company Our client is a high-performing growth marketing agency helping SaaS, AI, subscription-based, and consumer technology companies scale customer acquisition and revenue. With a track record of generating over $200 million in attributable client revenue and managing more than $100 million in advertising spend , the agency combines paid media, creative strategy, conversion rate optimization (CRO), and AI-powered marketing to deliver measurable growth. Working with ambitious US-based brands, the agency takes a full-funnel approach to performance marketing, focusing on sustainable growth rather than just advertising metrics. Job Summary We're looking for an experienced, hands-on Director of Growth – Performance Marketing to lead growth strategy, campaign performance, and client relationships across multiple US-based accounts. You'll oversee Google Ads and Meta Ads performance, drive full-funnel experimentation, manage marketing specialists, and work closely with the founder on client strategy and new business opportunities. This role is ideal for a strategic growth leader with strong agency experience who can confidently manage senior client stakeholders, solve complex marketing challenges, and independently drive measurable results. Key Responsibilities Growth Strategy & Performance Own client growth strategies across Google Ads, Meta Ads, landing pages, and conversion funnels. Optimize key metrics including CAC, ROAS, SQLs, pipeline generation, and trial-to-paid conversions. Launch and track 2–4 structured growth experiments per client monthly. Identify performance issues, diagnose root causes, and proactively implement improvements. Develop actionable growth roadmaps and performance recommendations. Client Management & Leadership Serve as the primary strategic contact for US-based founders, CMOs, and marketing teams. Lead client strategy calls, communicate insights, and maintain strong client retention. Coordinate media buyers, designers, and marketing specialists to ensure quality execution. Manage campaign delivery, creative briefs, timelines, and quality assurance independently. Provide the founder with concise updates on account performance and priorities. New Business & Operations Audit prospective clients' advertising accounts, analytics, and conversion funnels. Build compelling 90-day growth roadmaps to support sales pitches. Lead new client onboarding within the first two weeks. Improve reporting, campaign workflows, and internal processes. Leverage AI tools and automation to streamline research, reporting, creative ideation, and analysis. Requirements Must-Have Qualifications Proven experience in a senior growth marketing or performance marketing leadership role. Previous experience at a performance marketing or growth agency managing multiple US-based clients. Advanced hands-on expertise in Google Ads and Meta Ads, including campaign optimization and performance analysis. Strong understanding of full-funnel growth strategy, CAC, ROAS, conversion optimization, and lead generation. Experience auditing prospect accounts, building 90-day growth roadmaps, and supporting sales pitches. Proven ability to independently manage client relationships and communicate with founders and CMOs. Experience leading or coordinating media buyers, designers, and marketing specialists. Practical experience using ChatGPT, Claude, and AI-assisted workflows for marketing operations. Excellent English communication skills, both written and verbal. Strong analytical, problem-solving, and project management skills. Availability to work during the required US Eastern Time overlap. Nice-to-Have Qualifications Experience with SaaS, AI/ML, e-commerce, retail, consumer goods, or entertainment and media clients. Knowledge of GA4, CRM integrations, attribution, and conversion tracking. Experience with landing page CRO, creative testing, and lifecycle marketing. Familiarity with marketing automation and agency operational processes. Benefits 🌎 Fully Remote: Work remotely with a high-performing, US-focused growth marketing agency. 🚀 Leadership Opportunity: Own growth strategy, client relationships, and campaign performance. 📈 Career Growth: Play a key role in shaping the agency's continued expansion. 🎯 High-Impact Work: Drive measurable growth for ambitious SaaS, AI, and technology companies. 🤝 Direct Client Placement: Join the company as an integrated member of its team. 🧠 Modern Marketing Environment: Work with advanced AI tools, automation, and data-driven growth strategies. 💼 Founder Collaboration: Partner directly with agency leadership on strategic initiatives and business growth.

Location: South Africa; Brazil; Mexico; Venezuela, Bolivarian Republic of; Colombia; Ecuador About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with fast-growing startups, digital agencies, SaaS businesses, and tech-enabled companies across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we connect you directly with innovative companies, where you become an integral part of their team. Job Type Full-time Job Summary We are seeking a proactive, customer-focused Customer Success Manager to join a growing team. In this role, you will play a key part in building strong client relationships, driving customer satisfaction, and ensuring clients achieve their desired outcomes. This is an exciting opportunity for an experienced customer success professional who excels at client communication, account management, and proactively identifying opportunities to improve customer retention, engagement, and long-term growth. Key Responsibilities Build and maintain strong, long-term client relationships, acting as the primary point of contact for client needs, queries, and escalations. Work closely with internal teams to ensure projects are delivered on time, within scope, and aligned with client expectations. Client Onboarding: Oversee the onboarding process for new clients, ensuring a smooth transition and clear communication of goals, processes, and expectations. Manage a portfolio of client accounts, monitor engagement, and proactively identify opportunities to strengthen relationships and improve satisfaction. Identify and pursue opportunities to grow accounts and expand revenue across the existing client portfolio. Provide regular updates on project progress, milestones, challenges, and outcomes, ensuring transparency and alignment throughout the client journey. Maintain accurate client records, prepare account performance reports, and share insights that support informed decision-making. Requirements At least 2 years of professional experience in Account Management or a related client-facing role. Previous leadership experience or the ability to effectively guide, support, and develop a team. Excellent verbal and written communication skills, with a strong focus on achieving results. Exceptional communication skills and a results-oriented mindset. Exceptional organizational and time-management skills, with the ability to manage a high-volume portfolio of client accounts efficiently. Benefits 💰 Competitive compensation with room for growth 🎯 Performance-based bonuses linked to client retention, account growth, and referrals 🚀 Join a fast-growing company focused on delivering measurable results and exceptional client experiences 📚Continuous development through professional mentorship