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Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Miami, Florida, United States Join Our Team We are looking for a Customer Support Specialist to join our Customer Support team. This role is ideal for a hands-on, customer-focused professional with problem-solving skills and a solid understanding of logistics processes (mainly ocean freight). You will thrive in a fast-paced environment, enjoy investigating and resolving complex issues, and be passionate about delivering exceptional customer experiences. What You'll Be Doing Support the daily activities of the Customer Support team. Ensure customer inquiries via email, chat, and ticketing systems are handled promptly and professionally. Assist with complex customer issues, platform-related challenges, and service disruptions. Investigate customer-reported problems, identify root causes, and coordinate resolutions with Product and Development teams. Monitor service quality and ensure high levels of customer satisfaction. Maintain accurate records of customer interactions and support activities. Collaborate closely with Sales, Operations, Product, Development, and IT teams to ensure seamless customer experiences. Support customers with Cargoo platform functionalities, troubleshoot issues, and provide effective solutions. Identify trends in customer feedback, recurring issues, and system performance to drive continuous improvement initiatives. Contribute to the development of knowledge base articles, best practices, and support procedures. Assist with initiatives that improve customer retention and overall customer satisfaction. Who We're Looking For: Experience in customer support, customer service or a comparable customer-facing role; experience in logistics, freight forwarding, supply chain or related industries is considered an advantage. Tech-savvy Strong communication and interpersonal skills with a customer-oriented mindset. Ability to communicate effectively with both technical and non-technical stakeholders. Strong organisational skills and attention to detail. Ability to manage multiple tasks and priorities in a fast-paced environment. Experience working with ticketing, CRM or customer support systems is considered an advantage. Ability to work independently and as part of a cross-functional team. Fluent English and Spanish, Portuguese is a plus. Equal Opportunity Employer CSA Global Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Work Authorization Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this role. Relocation/Travel Role is not pen to relocation and does not require travel. Ready to take the next step in your customer service leadership career? We would love to hear from you. Apply today and help us deliver outstanding customer experiences every day.

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business. We’re looking for a GTM Engineer to join Marketing and help transform how we work internally. You’ll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work. Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. The aim is to 10x our impact. This is a hands-on technical role in a marketing team. You’ll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You’ll partner closely with Marketing Operations to make sure what you build fits our existing tools and standards. You’ll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. You’ll bring a clear technical point of view on what is scalable and reliable, while making sure the systems you build are useful to the people who need them. HOW YOU’LL MAKE AN IMPACT FIND THE PROBLEMS WORTH SOLVING Work with teams across Marketing to understand their processes and the work behind their requests. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. You’ll use your creativity and judgement rather than simply build to a ticket. BUILD AI-ASSISTED WORKFLOWS AND INTEGRATIONS Create and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Work with Marketing Operations when a solution involves our marketing technology or channel tools. MAKE INTERNAL MARKETING WORK MORE EFFICIENT Build workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Connect information and tools so people spend less time on repetitive coordination and more time on work that needs their expertise. Partner with Marketing Operations where workflows touch marketing technology or channel execution. BUILD SYSTEMS PEOPLE CAN RELY ON Design beyond the individual task. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Identify where information is missing, where an agent needs better direction or where teams need support to use and improve the system. HELP MARKETERS BUILD WITH AI Work alongside marketers to show what is possible and help them use AI with confidence. Create reusable patterns, skills, playbooks and guardrails so teams can solve more problems themselves and repeat good practice. TEST, LEARN AND IMPROVE Prototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes. KEEP UP WITH THE TOOLS Stay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you’re comparing Claude, ChatGPT, coding agents or emerging platforms. WHAT WE’RE LOOKING FOR YOU BUILD THINGS You’ve made working automations, prototypes, integrations, agents, internal tools or products, and enjoy taking a messy problem through to something people can use. Your job title matters less than what you’ve built and the value it creates. YOU USE AI HANDS-ON You use LLMs to get work done, not just to talk about what they could do. You’re comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time. YOU HAVE SOUND TECHNICAL JUDGEMENT You can reason about systems, APIs, data flows, permissions and failure modes. You understand the difference between a promising demo and a dependable workflow. You don’t need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices. YOU UNDERSTAND MARKETING AND GTM You understand how demand generation, growth, customer marketing, marketing operations, sales and revenue processes connect. You’re familiar with concepts such as campaign briefs, segmentation, ABM, lead scoring, MQLs, MQAs, pipeline, attribution and lifecycle stages. You’re interested in the business outcomes behind the work. YOU’VE WORKED ACROSS MARKETING OR REVOPS TOOLS You’ve built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You can think across a stack rather than optimise one tool in isolation, and you’re comfortable with connectors, APIs, webhooks or MCP-style integrations. YOU KNOW HOW TO DESIGN USEFUL WORKFLOWS AND AGENTS You can give a workflow the context it needs, choose the right tools, define hand-offs, involve people at the right points and make outputs easy to review. You understand that an agent’s performance depends on its data and operating environment as well as the model. YOU PRIORITISE FOR VALUE You can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next. YOU MEASURE AND IMPROVE YOUR WORK You’re comfortable defining success measures, tracking usage and output, and deciding what to improve, stop or scale. You care about measurable gains in productivity, quality, speed or business impact. YOU THINK IN SYSTEMS You look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you’re curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship. YOU COMMUNICATE CLEARLY AND BRING PEOPLE WITH YOU You can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You listen well, communicate simply and influence through your work and judgement. YOU’RE CURIOUS AND SELF-STARTING You’re comfortable with ambiguity and motivated to learn. You’ve taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn. YOU USE AI RESPONSIBLY You understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale. You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. What matters most is your curiosity about marketing, your judgement about what is worth improving and your ability to build practical solutions. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

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

Location: Cairo, Egypt Workplace: hybrid The WFM Manager owns workforce planning for inDrive Customer Support: how many people we need, in which language and vertical, and on which schedule, for both in-house teams and BPO partners. You turn forecasts into capacity plans, and capacity plans into schedules, so we meet our service levels at a sustainable cost. CS covers ride-hailing, intercity, delivery and food delivery, across Live Chat, Email, Incident Management, Driver Verification, Review and Appeals, and Insurance. This role gives CS leadership one clear view of hiring needs and service-level risks for the coming months and years. Reports to Director, Customer Support Excellence. Key Responsibilities Forecasting. Work with Analytics and the Business teams to build and improve the forecast of contacts and tickets by line, vertical, language and country. Own the forecast accuracy report and drive wMAPE down with cross-functional teams. Capacity planning. Build the capacity plan for every line: First Line (Live Chat and Email), Incident Management, Review and Appeals, Driver Verification, Insurance, escalations and other lines as business grows. Use the Erlang method to make sure we have enough people to hit each service level, by language and vertical (ride-hailing, intercity, delivery, food delivery). Headcount planning. Own the monthly and yearly headcount plan for in-house and BPO teams. Show CS leadership what hiring will look like in the coming months, and where performance is likely to dip, ensure BPO is following correct methodology to deliver on performance. Scheduling and adherence. Lead a team of junior, senior and workforce specialists who turn capacity plans into schedules and enforce them. Own schedule and capacity accuracy, and keep improving adherence to meet targets. BPO partners. Share incoming contact patterns with BPOs, audit and validate their rosters and schedules, and hold them accountable for all WFM topics. Reporting and insight. Publish regular reports on forecast accuracy, capacity, adherence and service level, with root causes and actions. Raise risks early to CS leadership. Tools. Work with Product to build our WFM tool in-house, while staying flexible and getting the most from the tools we use today. Team. Hire, coach and develop the WFM team, and set clear standards for planning and scheduling across all lines. Transformation and KPIs. Sponsor automation, process optimisation and workforce transformation initiatives that improve efficiency and service levels. Define the KPIs for the WFM team and the department, such as forecast accuracy, schedule adherence and service level, and track them against targets. Skills, Knowledge & Expertise 5+ years in workforce management or capacity planning, including 2+ years leading a team Hands-on forecasting and capacity planning, with strong knowledge of the Erlang method, shrinkage, occupancy and chat concurrency Experience planning across several lines, languages and countries, for in-house and outsourced teams Experience managing BPO partners on rosters, schedules, adherence and service levels Strong analytical skills: advanced Excel or Google Sheets, SQL or BI dashboards, and experience with WFM tools such as Calabrio, NICE or Verint Clear communication with senior leaders, and the ability to turn data into decisions Fluent English; other languages are a plus Recommended - Bachelor's degree in business, statistics, engineering or a related field, or equivalent experience Nice to Have Experience in ride-hailing, delivery, marketplace or other fast-growing tech operations Experience helping build or choose WFM tooling together with a Product team Python or automation skills for planning and reporting Experience working across many time zones Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: Islamabad, Pakistan Workplace: hybrid The WFM Manager owns workforce planning for inDrive Customer Support: how many people we need, in which language and vertical, and on which schedule, for both in-house teams and BPO partners. You turn forecasts into capacity plans, and capacity plans into schedules, so we meet our service levels at a sustainable cost. CS covers ride-hailing, intercity, delivery and food delivery, across Live Chat, Email, Incident Management, Driver Verification, Review and Appeals, and Insurance. This role gives CS leadership one clear view of hiring needs and service-level risks for the coming months and years. Reports to Director, Customer Support Excellence. Key Responsibilities Forecasting. Work with Analytics and the Business teams to build and improve the forecast of contacts and tickets by line, vertical, language and country. Own the forecast accuracy report and drive wMAPE down with cross-functional teams. Capacity planning. Build the capacity plan for every line: First Line (Live Chat and Email), Incident Management, Review and Appeals, Driver Verification, Insurance, escalations and other lines as business grows. Use the Erlang method to make sure we have enough people to hit each service level, by language and vertical (ride-hailing, intercity, delivery, food delivery). Headcount planning. Own the monthly and yearly headcount plan for in-house and BPO teams. Show CS leadership what hiring will look like in the coming months, and where performance is likely to dip, ensure BPO is following correct methodology to deliver on performance. Scheduling and adherence. Lead a team of junior, senior and workforce specialists who turn capacity plans into schedules and enforce them. Own schedule and capacity accuracy, and keep improving adherence to meet targets. BPO partners. Share incoming contact patterns with BPOs, audit and validate their rosters and schedules, and hold them accountable for all WFM topics. Reporting and insight. Publish regular reports on forecast accuracy, capacity, adherence and service level, with root causes and actions. Raise risks early to CS leadership. Tools. Work with Product to build our WFM tool in-house, while staying flexible and getting the most from the tools we use today. Team. Hire, coach and develop the WFM team, and set clear standards for planning and scheduling across all lines. Transformation and KPIs. Sponsor automation, process optimisation and workforce transformation initiatives that improve efficiency and service levels. Define the KPIs for the WFM team and the department, such as forecast accuracy, schedule adherence and service level, and track them against targets. Skills, Knowledge & Expertise 5+ years in workforce management or capacity planning, including 2+ years leading a team Hands-on forecasting and capacity planning, with strong knowledge of the Erlang method, shrinkage, occupancy and chat concurrency Experience planning across several lines, languages and countries, for in-house and outsourced teams Experience managing BPO partners on rosters, schedules, adherence and service levels Strong analytical skills: advanced Excel or Google Sheets, SQL or BI dashboards, and experience with WFM tools such as Calabrio, NICE or Verint Clear communication with senior leaders, and the ability to turn data into decisions Fluent English; other languages are a plus Recommended - Bachelor's degree in business, statistics, engineering or a related field, or equivalent experience Nice to Have Experience in ride-hailing, delivery, marketplace or other fast-growing tech operations Experience helping build or choose WFM tooling together with a Product team Python or automation skills for planning and reporting Experience working across many time zones Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: London, United Kingdom Workplace: onsite Job Overview Bring your hospitality and events expertise into the classroom and help students prepare for their professional careers. London College of Contemporary Arts (LCCA) is recruiting a Lecturer in Hospitality and Event Management in London. This full-time, permanent higher education role involves undergraduate teaching across Levels 4 to 6 in Hospitality Management and Event Management. You will combine academic knowledge with industry experience to deliver engaging teaching, assessment and student support. About LCCA At LCCA, we combine academic learning with real-world industry experience, helping students develop the confidence, knowledge and practical skills to pursue their chosen careers. Our diverse student community is central to our work. We aim to create an inclusive learning environment where students feel supported, valued and able to reach their potential. About the Role You will plan and deliver undergraduate lectures and learning activities, assess student work and provide constructive feedback and academic support. Your teaching will connect contemporary hospitality and events industry practice with sustainability, employability and digital skills. You will also contribute to curriculum development, quality assurance and the wider student experience. Key Responsibilities Plan, prepare and deliver engaging teaching across Hospitality and Event Management modules at Levels 4 to 6. Create inclusive learning environments for students from diverse educational and cultural backgrounds. Use digital learning technologies and industry-relevant materials to enhance student engagement. Embed contemporary hospitality and event practices, sustainability, employability and digital skills within teaching. Design, administer and mark assessments in line with institutional regulations. Provide timely, constructive and developmental feedback to students. Participate in moderation and standardisation activities and support academic integrity. Support student retention, progression and achievement, referring students to additional services where appropriate. Contribute to curriculum development, review and enhancement in line with industry developments, QAA Subject Benchmarks and relevant professional standards. Incorporate employer engagement, guest speakers, field visits and live projects where appropriate. Engage with student feedback, quality assurance processes and continuous improvement activity. About You You will be an engaging higher education lecturer who can connect academic theory with hospitality management and events practice. You will be confident teaching students from varied backgrounds and committed to supporting their learning and professional development. Essential Requirements Postgraduate qualification in Hospitality Management, Event Management or a related discipline, or equivalent professional experience. Recognised teaching qualification, such as a Postgraduate Certificate in Higher Education (PGCert) or equivalent. Experience teaching across Levels 4 to 6. Ability to use digital learning technologies effectively. Commitment to inclusive teaching and student success. Strong communication and teamwork skills. Desirable Requirements PhD or professional doctorate in a related discipline. Fellowship of Advance HE (FHEA), or willingness to work towards it. Extensive industry experience within hospitality, events or a related sector. Experience in curriculum design and programme development. Research and publication record or evidence of scholarly activity. Experience supervising undergraduate research projects. Understanding of quality assurance processes and academic regulations. Why Join LCCA? Inspire the next generation of hospitality and event professionals. Bring your industry experience directly into the classroom. Work with a diverse and ambitious student community. Contribute to curriculum development and innovative learning experiences. Access ongoing professional development, training and mentoring. Build your academic career within a growing Higher Education institution. What We Offer Competitive salary and annual leave entitlement. Pension scheme and Season Ticket Loan, subject to eligibility. Vision Express Eye Care Vouchers. Professional development and training opportunities. Employee wellbeing support and counselling services. Employee discounts and rewards platform. Refer-a-friend scheme, career progression opportunities and staff networking activities. Career Development and Progression At LCCA, we are committed to investing in our people and supporting long-term career growth within Higher Education. This role offers opportunities to develop through teaching, curriculum design, scholarly activity, programme leadership and wider academic responsibilities. Our Approach We are committed to ensuring our workforce reflects our diverse student population and to increasing representation across age, disability, gender identity and expression, religion, race, sex, sexual orientation and socio-economic background. We are also committed to providing reasonable adjustments to candidates who require support during the recruitment process. Please contact the LCCA Talent Acquisition Team at collegedivisionrecruitment@gus.global . Right to Work Applicants must have the right to work in the UK. Additional Information LCCA operates seven days a week, so evening and weekend working may be required on a rota basis. Apply Now Ready to bring Hospitality and Event Management to life for our students? Apply to join LCCA and help students connect their learning with future careers. Click Apply to submit your application.

Location: EMEA; Portugal; Spain; Poland ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. 👩‍💻 The Role   Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire this role requires you to be based within UTC 0 / +3 as you will be supporting the EMEA region. Oyster is looking for an Offboard Operations Expert to join our Lifecycle Operations Department to help us deliver a fantastic support experience to our growing number of customers and team members. Your role is dedicated to serving as a trusted primary point of contact during sensitive employment and offboarding situations. You will independently guide customers through complex individual cases and bulk offboardings ensuring they feel thoroughly supported, clear on local employment requirements, and confident in our service every step of the way. Key Responsibilities You are a key voice of Oyster to our customers and team members during sensitive HR and offboarding phases. You balance case management with proactive problem-solving to make complex processes seamless. - Act as the primary point of contact for customers and team members, guiding them through standard and complex offboarding processes; - Work collaboratively and cross-functionally with customer service colleagues, HR, finance, product, and legal experts to resolve queries and then share your knowledge with the whole customer-facing team to create a great experience for our customers, and to keep the streamlined process. - Consistently meet individual weekly service delivery goals, adherence to SLAs, and customer satisfaction (CSAT) metrics; - Handle complex customer inquiries and escalations with clarity and empathy, knowing when to leverage manager support for high-risk situations; - Lead and project manage small bulk offboardings (5+ team members), coordinating requirements asynchronously and synchronously with internal cross-functional partners; - Identify opportunities to tweak existing playbooks and workflows to eliminate bottlenecks and boost operational efficiency; - Maintain exceptional data accuracy on the Oyster platform and keep all ticket communications clear and up to date; - Participate in small project initiatives, contribute to internal knowledge bases & help center articles and support team members through peer learning. Core Requirements - 3+ years of experience in customer service or customer-facing operations, with a strong background in HR, People Operations or People administration. - Demonstrated experience managing complex employee-lifecycle cases and small group transitions or bulk workflows. - Experience supporting employees or customers across multiple countries, regions or employment jurisdictions. - Exposure to employment practices within EMEA is strongly preferred. - Strong SLA and metrics focus, with a track record of achieving individual output and quality goals such as CSAT and turnaround times. - Strong process orientation and confidence using self-service playbooks, asynchronous tools and cross-functional expertise to resolve incomplete or complex information. - An empathetic, human-centred approach to customer support, particularly during sensitive employment transitions. - Strong analytical curiosity and the ability to identify the underlying issue behind a customer request rather than addressing only the immediate question. - Excellent time management and prioritisation skills, with the ability to manage multiple cases, deadlines and regional dependencies independently. - Excellent written and verbal communication skills, including the ability to adapt communication for customers, team members and internal stakeholders across different cultures and jurisdictions. - Strong attention to detail and sound judgement when working with sensitive, confidential or compliance-related information. - Collaborative mindset and willingness to share knowledge, support colleagues during busy periods and work effectively within a distributed global team. - Remote-first mindset and alignment with Oyster’s mission to create global employment opportunities. - AI & Workflow Automation: Actively embraces emerging AI technologies, with a willingness to continuously learn, experiment and identify opportunities to improve workflows, productivity and operational excellence. You’ll also need - A reliable home internet connection, or the ability to obtain one. - Fluent English language skills. - The ability to work within the required regional timezone coverage for your assigned EMEA portfolio, while maintaining appropriate overlap with the broader global team. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

As our Junior IT Administrator, you'll own the full device and access lifecycle, from a new hire's first laptop to an employee's final offboarding, and build the systems that make it repeatable at scale.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome in our office in Tel Aviv, Israel. Your responsibilities will include: Own the production journey • Lead the transition from PoC to production • Ensure customer workloads are deployed, stable, and scalable • Drive time-to-production and time-to-value Ensure technical success in production • Understand customer architectures and use cases • Monitor and improve: o performance (latency, throughput) o cost efficiency o reliability • Identify and resolve bottlenecks proactively Act as a trusted technical partner • Work directly with customer engineering teams • Provide guidance on best practices and optimisation • Translate technical challenges into actionable solutions Manage risks and incidents • Act as a primary technical contact for production issues • Coordinate with internal teams to resolve incidents • Communicate clearly during high-pressure situations Drive continuous improvement • Identify opportunities to optimise and expand usage • Provide structured feedback to Product and Infrastructure teams • Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore, Sydney, or Tokyo About the Role: Do you love solving complex problems and interacting with people? Are you passionate about helping customers and are a standout colleague? Cloudflare is seeking a Technical Customer Support Engineer to join our team. You will work with our customers on a variety of technical support issues as well as the Technical Operations team that is responsible for running our global distributed network. This is a position where you will learn the inner workings of Cloudflare's technology and gain a deeper understanding of internet technologies. You will focus on providing support on our Developer Platform products: Workers, Workers AI, Pages, KV, Stream, R2, D1, DO etc. Examples of desirable skills, knowledge and experience: You are familiar with Developer Platform products You have previous experience working as part of a team in a customer-facing role You have experience solving HTTP, DNS and other networking-related problems You have experience with a common web development language (for example, Javascript) You understand how the Internet works You have experience working in a support role where you thrived every time you resolved a ticket You are comfortable communicating through various support channels and always put the customer first  (Emails, Live Chats, Phone calls and  virtual meetings) You are a motivated self-starter and always looking to expand your existing skill set Bonus Points You are familiar with Cloudflare and have a site actively using our platform You have a solid grasp of problem-solving with command line tools (curl/dig/traceroute/tcpdump) You are familiar with Nginx, Apache, IIS or any other web servers You are committed to gaining a deeper understanding of the following technologies: DNS /  CDN - Cache / SSL / Cloudflare Workers You have worked with PostgreSQL, MySQL, MS SQL or other database servers You have experience with Cloudflare Workers and/or JavaScript You have experience with Video encoding and streaming solutions What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

As a Support Associate at Wolt, your key responsibility is to ensure that our customers and partners enjoy a positive experience and receive the help they need within the expected timeframes. Handle customer, courier, and merchant inquiries through live chat, phone, and email support.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role: The Business Operations Team Lead is a hands-on leadership role, combining people management with direct ownership and execution of Business Operations activities and processes. The role is responsible for leading and developing a team of Operations Specialists, driving strong operational performance, and ensuring effective and scalable execution across the purchase-to-pay (P2P) lifecycle. Working closely with Procurement, Finance, Accounts Payable, Legal, Accounting, Treasury, Logistics, and other stakeholders, the Team Lead drives process improvements, resolves cross-functional challenges, supports the implementation of new capabilities and ways of working, and helps ensure that Business Operations can effectively support the organization as it grows. ________________________________________________________________ Key Responsibilities Lead, coach, and develop the Business Operations team, setting clear expectations, providing ongoing feedback, managing performance, and supporting individual professional growth. Maintain an active hands-on role in Business Operations activities, including managing assigned PRs, requests and tickets, while also supporting complex cases and operational escalations across the P2P lifecycle, alongside team leadership responsibilities. Own and continuously improve Business Operations processes and operational standards, ensuring effective, consistent, and scalable execution across the team. Drive operational performance and quality by managing team priorities and workload, monitoring key metrics, identifying trends and gaps, and taking action to improve results. Partner with Procurement, Finance, AP, Legal, Accounting, Treasury, and other stakeholders to manage cross-functional topics and resolve operational challenges. Identify recurring issues, process gaps, and inefficiencies, and drive practical improvements from identification through implementation. Drive and contribute to the design, testing, implementation, and adoption of new workflows, systems, automation, and operational capabilities. Ensure processes and execution are aligned with internal policies, controls, and business requirements. Lead and contribute to cross-functional projects and initiatives that improve efficiency, quality, controls, and scalability. Key Qualifications & Experience 5+ years of experience in Business Operations, Procurement Operations, Finance Operations, P2P, or a related operational role, with a strong understanding of end-to-end procurement and purchase-to-pay processes. Demonstrated experience leading and developing team members, either through formal people management or a team leadership role. Experience driving cross-functional processes and working with stakeholders across Procurement, Finance, AP, Legal, Accounting, and other business functions. Demonstrated experience identifying process gaps, resolving complex operational issues, and driving improvements through implementation. Strong analytical and problem-solving skills, with the ability to use data and operational insights to support decision-making. Strong stakeholder management and communication skills, with the ability to influence and drive alignment across teams. Experience working with ERP, procurement, finance, or workflow management systems. Fluent English. Experience working in a global and rapidly scaling organization. Competencies & Behavioral Traits Strong leadership skills with the ability to coach, develop, and create accountability within a team. High level of ownership and accountability, with the ability to drive topics independently from identification through resolution. Strong end-to-end and process-oriented thinking, with the ability to identify dependencies, gaps, and broader business impact. Proactive and solution-oriented, with a strong continuous-improvement mindset. Strong judgment and ability to prioritize and make decisions in a dynamic environment. Collaborative and effective at building strong stakeholder relationships, influencing decisions, and driving alignment across functions. Comfortable challenging existing ways of working and driving change. Structured and analytical, with the ability to balance hands-on execution, people leadership, and improvement initiatives. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas. You will be expected to work from our Austin office twice a week. About the Department The Cloudflare Customer Support Team solves complicated problems and answers technical questions via phone, email, chat and social media. Whether it is a Wordpress blogger using our services for free or a global Enterprise business with petabytes of web traffic, we are always eager to assist. We are the eyes and ears of Cloudflare, acting as the real-time voice of the customer to help communicate their needs and real-world use cases back to the rest of the company - for better service and future product development. About the role Do you love solving complex technical issues and interacting with people? Are you passionate about providing premium-level support to customers and are a standout colleague? Cloudflare is seeking an experienced Technical Support Engineer for Zero Trust to join our team. You will work with our largest and most technically sophisticated customers on a variety of technical support issues to ensure they can deploy and operate Cloudflare's Zero Trust solutions with confidence. Responsibilities Serve as a trusted technical advisor, providing advanced support for enterprise customers using Cloudflare’s Zero Trust platform, including products like Access, Gateway, Cloudflare Tunnels, Cloudflare WAN and the Cloudflare One client (formerly known as Cloudflare WARP client). Troubleshoot and resolve complex technical issues related to identity, device security, and secure application access. Communicating and working directly with the customers via phone, video conference (ie Zoom, Google Meet), chat and tickets in Salesforce Work directly with customers to diagnose and remediate configuration and integration challenges with authentication protocols (e.g., SSO, SAML, OIDC) and network security settings. Create and maintain knowledge base articles, technical guides, and troubleshooting documentation for internal and customer use. Partner with Cloudflare’s Product, Engineering, and Security teams to escalate and resolve advanced customer issues. Provide feedback based on customer interactions to drive product improvements and ensure alignment with user needs. Assist customers in identifying and responding to security incidents, leveraging Cloudflare’s threat intelligence and security tools. Desirable Skills, Knowledge, and Experience Availability to work the weekend shift (Saturday & Sunday) You have a minimum of 3 years experience working as a Support Engineer / Sr. Support Engineer supporting networking or web security products. Exceptional troubleshooting and problem-solving skills, with the ability to simplify complex concepts for customers. Strong customer service orientation and communication skills, both written and verbal. Ability to work independently and collaboratively in a fast-paced, dynamic environment. You have experience supporting and troubleshooting multi-factor mechanisms (TOTP, SMS, FIDO, U2F, WebAuth, EMAIL, Push MFA, etc). Hands-on experience with identity and access management (IdP, IAM, SCIM) systems, such as Okta, Microsoft Entra, Ping, etc. Strong knowledge of authentication protocols (SAML, OIDC) Proficiency in networking fundamentals, including DNS, VPNs, firewalls, and traffic routing. Experience supporting cloud platforms (AWS, Azure, GCP) and SaaS application integrations. You have worked with PostgreSQL, MySQL, MS SQL or other database servers. Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or a related field (or equivalent experience). This may also include specialized bootcamps. Relevant certifications such as Cloudflare Certified Zero Trust Specialist, CISSP, or CCSP. Experience with building projects on Cloudflare or using Cloudflare Products. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. About the Role Services Support Specialists are the dedicated, global point of contact for HumanSignal's contractor population — a workforce-operations function distinct from Enterprise Support. Where Enterprise Support is primarily technical and customer-facing, this role resolves payment, identity/verification, account-access, onboarding, and project-related questions for contractors working across every timezone. Key Responsibilities Own and resolve inbound contractor tickets in Zendesk, including payment/payout issues, identity and KYC verification, account access, and onboarding or assessment blockers. Serve as a contractor's single point of contact, coordinating across teams rather than leaving them to navigate multiple channels on their own. Escalate issues outside Services Support's scope to the appropriate team: Payments/Finance, Verification/Trust, Project Operations, Support Engineering/Engineering, or Safety/Security. Monitor and handle annotator requests within Discord, escalating to the appropriate delivery team resource when needed. Apply P0-P3 severity classification to incoming tickets and follow the corresponding response process. Identify and flag repetitive, low-complexity ticket types (roughly 81% of tickets require two or fewer agent comments) for deterministic self-service or automation. Participate in a quarterly review of ticket volume and coverage against the schedule below. On-Call Responsibilities Acknowledge P0 pages within approximately 15 minutes; unacknowledged pages automatically escalate to that week's secondary on-call responder. On-call is reserved for Critical issues only — for example, a systemic inability to work, widespread payment or verification failures, major production incidents, or credible safety/security concerns. Routine P1-P3 tickets remain queued for the next scheduled shift. Qualifications Experience in a support or operations role, ideally supporting a global or contractor/gig workforce. Comfort working across payment, identity/verification, and account-access issues, with the judgment to know when to resolve directly versus escalate. Clear, professional written communication suited to a global contractor population. Willingness to participate in the rotating P0 on-call schedule. Working proficiency with Zendesk (or a comparable ticketing platform) and Discord. Ability to work independently during off-hours coverage while following documented escalation paths. What Success Looks Like SLA attainment on first response and time-to-resolution, against an initial planning estimate of approximately 15-30 minutes of direct handling time per ticket. P0 pages acknowledged within the target window, with escalations to the secondary responder tracked and rare. Low rate of tickets requiring re-escalation or reopening. Contractors get a single, clear path to resolution rather than moving unassisted between Support, Project teams, Payments, and Verification. A growing share of high-volume, low-complexity ticket types shifted to self-service or automation. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North America. The base cash compensation range for the United States is $55,000 to $70,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.