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Customer Care Agent Netherlands Jobs

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Explore current customer care agent netherlands jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Q
Qonto
📍 Barcelona• Full-time• Hybrid
28mo ago

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Customer Care Agent Netherlands and help Dutch SMEs and freelancers succeed with Qonto. The Customer Care team guides and helps our clients, and we’re proud of our 4.6/5 customer satisfaction. We keep pushing it higher as we scale our Dutch-market support. You’ll join a growing team in Barcelona, led by Cristina Martel García. ➡️ What you’ll do Be a Qonto Ambassador: You’ll delight our Dutch customers with sharp, fast support by email, chat and phone, both inbound and outbound. Be the voice of our customers: You’ll surface insights and flag root causes, then contribute around one improvement a month through our PDCA cycles. Hit our quality bar: You’ll reach a Stellar Support score of 70/100 or above, answer chats in under 5 minutes and emails in unde

aifinancerecruitment
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J
Justworks
📍 International• Full-time• Remote• €143K – €184K/yr
5mo ago

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are self-driven and like to work with others to remove roadblocks. You are curious and love to explore and learn new technologies. You have demonstrated the ability to build, deploy, and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework. About the role: You will join a small, highly autonomous cross-functional team to build AI agents that fundamentally transform how operations work at scale. Instead of writing bespoke software for every workflow, we are developing an agent platform that can read operational knowledge, reason about it in context, and execute tasks end-to-end. This approach allows us to scale complexity through knowledge and reasoning, rather than simply through code. This is an opportunity to join a foundational team, which currently consists of fewer than five engineers. The work spans critical areas including LLM-powered agent design, robust backend service architecture, tool and integration development, and sophisticated knowledge infrastructure. We are seeking a Senior Software Engineer with a strong pas

REMOTEjavascriptpythonjava
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Q
Qonto
📍 Belgrade• Full-time• Hybrid
18mo ago

Unsere Mission und Kunden: Wir schaffen die Freiheit für KMUs, erfolgreich zu sein - mit Europas führendem Finanz-Workspace, der Banking als Kern mit leistungsstarken Finanztools verbindet. Wir sind stolz auf unsere Trustpilot-Bewertung von 4,8, die auf über 55.000 Rezensionen basiert. Kundenzufriedenheit steht im Mittelpunkt unseres Handelns(und hier) - belegt durch einen Net Promoter Score von 75. Unser Weg: 2017 von Alexandre und Steve gegründet, ist Qonto auf über 1.700 Qontoers gewachsen, die mehr als 750.000 Kunden in acht europäischen Ländern betreuen. Seit 2023 sind wir profitabel - und das ist erst der Anfang. Unsere Überzeugungen: Wir stellen nach Fähigkeiten und Potenzial ein. Mit über 80 Nationalitäten, 45 % Frauen im Unternehmen und 56 % Frauen in unserem Leadership-Team ist Diversität kein Programm – sie ist Teil unserer DNA. Wir haben einen diskriminierungsfreien Einstellungsprozess aufgebaut, weil die besten Teams auf Leistung basieren. KI bei Qonto: KI ist fest in unsere Arbeitsweise integriert (hier). Jede/r Qontoer/in hat unbegrenzten Zugang zu den besten KI-Tools. Wir suchen Menschen, die experimentieren, ohne auf Erlaubnis zu warten, KI über das Offensichtliche hinaus nutzen und wissen, wann man ihr vertrauen kann - und wann man sie hinterfragen sollte. ------------------------------------------------------------------------------------------------------ Werde Teil unseres Customer Care Teams als Customer Care Agent Deutschland und unterstütze deutsche Unternehmer und Selbstständige bei komplexen Anfragen rund um Zahlungsdienstleistungen und Kontoverwaltung. Du betreust ein Portfolio deutscher Geschäftskunden und sorgst für ein reibungsloses Banking-Erlebnis. Du berichtest an Sanja Kadžibanov, die unser Customer Care Team Deutschland leitet. Standort: Belgrad (Büro) oder remote in Serbien. ➡️ Was du tun wirst Komplexe Kundenanfragen bearbeiten: Kontopfändungen, blockierte Zahlungen, Kontoschließungen, erweiterte Sorgfaltspflichtprüfungen — d

R
Roblox
📍 San Mateo• $295.3K – $345K/yr
22 days ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY Safety Experience? Safety is paramount at Roblox, and it shows up in everyday human moments. A rating left on a game. The words a Customer Care agent chooses when replying to a report. Whether a suspended account feels like a fair call or an arbitrary one. How fast someone gets back into an account they thought was gon

pythonjavamachine learning
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call center executive, also known as a contact center agent or customer service representative, is a frontline employee who acts as an intermediary between customers and a company. Their responsibilities include: Handling calls: Answering incoming and outgoing calls, and transferring them to the relevant department or agent Providing customer service: Addressing customer questions, concerns, and complaints Analyzing customer data: Conducting surveys to collect customer satisfaction data, and using that data to develop new strategies Communicating with customers: Using a variety of channels, including phone, email, social media, and chat Managing orders: Overseeing the timely delivery and payment of customer orders Recommending improvements: Suggesting improvements to systems and processes to increase efficiency call center BPO executive, also known as a customer care representative (CSR), is a frontline employee who deals with customer communication and support. Their responsibilities include: Answering customer queries and complaints Providing solutions to customer problems Ensuring customer satisfaction Building strong customer relationships Communicating with customers via calls, email, chat, and social media Processing orders, forms, and applications Providing information about products and services Processing returns

customer service
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JT
2mo ago

Some skills and qualifications that are useful for a telecaller include: Strong verbal communication skills, Good listening skills, Ability to multitask and manage time effectively, Ability to handle pressure, and Knowledge of CRM software programs and telephone systems call center executive, also known as a contact center agent or customer service representative, is a frontline employee who acts as an intermediary between customers and a company. Their responsibilities include: Handling calls: Answering incoming and outgoing calls, and transferring them to the relevant department or agent Providing customer service: Addressing customer questions, concerns, and complaints Analyzing customer data: Conducting surveys to collect customer satisfaction data, and using that data to develop new strategies Communicating with customers: Using a variety of channels, including phone, email, social media, and chat Managing orders: Overseeing the timely delivery and payment of customer orders Recommending improvements: Suggesting improvements to systems and processes to increase efficiency

customer serviceCRM
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At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we're moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality. This team works cross-functionally to design, deploy, and scale AI agents that handle real customer conversations and empower our human agents with more information to solve issues. They work alongside our support ops and insights teams to create exceptional experiences when our customers need help most. Responsibilities: Build and optimize AI agents that handle customer support interactions across chat and voice channels Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors Write, test, and refine prompt logic and conversation flows for specific customer use cases Partner with support operations teams to understand workflows, pain points, and opportunities Run rapid feedback loops between customer interactions and product development to continuously improve agent performance Serve as the in-house expert on AI agent development,

L
Lyft
📍 Toronto• Full-time• From C$172K/yr
2mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our Toronto office. Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform & Data teams build the tools our human support agents work in every day—and own the data that tells Lyft, and the world, what our customers are actually experiencing. As AI rapidly changes what's possible, we're reinventing how agents work: pairing them with copilots and AI that surface the right answer instantly, take on repetitive work, and raise the quality and consistency of every interaction. At the same time, we're building the data foundation that turns millions of support contacts into an accurate, trusted view of issue types and trends—used inside the team, across the company, and in what we report externally. This role owns that mandate end to end: setting the vision and strategy, and driving execution on the hardest problems across both the platform and its data. Responsibilities: Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care & safety reporting Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work Lead execution on the most complex,

artificial intelligenceai
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

pythonsqlai
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T
Toast
📍 United States• Remote• $212K – $339K/yr
5 days ago

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. A day in the life (Responsibilities) Toast is looking for a Senior Director, Customer Care Operational Excellence to own how our customer support organization operates, end to end. This is a build-and-run role: you will design (and continuously redesign) the people, process, systems, and data that determine whether every customer, from our smallest SMB accounts to our largest Enterprise relationships, gets a fast, effortless, high-quality resolution. This role sits at the center of our AI transformation of Support operations, evaluating, implementing, and scaling AI across chat, voice, and agent-assist workflows, while also owning the fundamentals: workforce planning and capacity, quality and performance measurement, and a closed-loop voice-of-customer program that feeds directly into our product and engineering roadmaps. You will lead a team, and this is a hands-on role: you're expected to get into the details, run point on hard problems personally, and build things yourself when needed. Support Operating Model: People, Process & Systems Own the end-to-end design of how Support operates: org structure, staffing model, tiering/routing, escalation paths, and channel model (chat, email, phone, self-service, community), and continuously refine it as the business scales. Build and run the operating cadence for the function: performance reviews, root-cause/escalation reviews, leadership readouts, and continuous-improvement rhythms. Segment design so that SMB, Mid-Market, and Enterprise customers each get a service model appropriate to their needs, complexity, and value. AI & Support Technology Transformation Own the roadmap for AI-enabled support, including virtual agents/chatbots, voice AI, agent-assist, and automation, from business case through implementation, measured a

REMOTEaifinanceCRM
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L
Lyft
📍 Toronto• Full-time
2mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. Responsibilities: Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft Evolve data model and data schema based on business and engineering needs Implement systems tracking data quality and consistency Develop tools supporting self-service data pipeline management (ETL) SQL and MapReduce job tuning to improve data processing performance Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions Experience: Bachelor's degree in Compute

pythonsqlaws
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L
Lyft
📍 Mexico City• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

pythonjavaredis
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

pythonjavaredis
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L
1mo ago

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Customer Excellence Agent you'll join the Customer Excellence team based in Copenhagen, reporting to Emma and Teresa, working to make every customer interaction feel like the best part of being a Lunar customer. What will you do? Be the voice of Lunar — handling customer calls and emails, helping customers with everything from app questions to account issues, always aiming to turn a frustrating moment into a positive one. Hit meaningful targets across both quality and efficiency — including talk time, message resolution, and CSAT — because we care about doing this well, not just fast. Collaborate actively with your team, sharing what you're learning, supporting your colleagues, and helping the whole team get better together. What are we looking for in you? Full professional proficiency in Danish (written and spoken) is a hard requirement for this role, as is solid working English. Genuinely energised by talking to people, including when the conversation is difficult; you see a frustrated customer as a problem to solve, not a problem to avoid. Curious and proactive — you ask questions, you notice patterns, and you look for ways to improve. Comfortable with structure and performance expectations; KPI-driven environments bring out the best in you rather than stress you out. No prior customer service experience required — we'll give you everything you need to get up to speed. Looking for a commitment of at least a year . We invest in the people who join us and

airecruitmentcustomer service
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