Operations Support Agent

🌐 About Us At Nextlane, we don’t just develop software solutions – we create the future of the automotive industry. We are a company that combines advanced technology with a clear vision: simplifying and digitizing every step of the automotive customer journey, empowering manufacturers and dealerships to thrive in a constantly evolving market. We believe in the value of every team member, offering opportunities for you to develop and contribute to meaningful solutions. So… What does it mean to be a #Nextlaner? * Be part of a growth-oriented culture. * Collaborate with colleagues from all over the world. * Believe in the Power of ideas and the diversity of thought. * Be committed to provide an environment where you can learn, grow, and collaborate on projects that make a global impact. Our success is measured not just by results, but also by the growth and satisfaction of those who are part of our company. At Nextlane, you’ll have the opportunity to innovate, push boundaries, and work on solutions that are transforming the automotive world. 🎯 Your Responsibilities: Zendesk Configuration & Administration * Maintain and optimize core Zendesk settings including ticket fields, forms, triggers, automations, views, and macros across all supported regions * Work with the Senior Zendesk Administrator to standardize the multi-region environment and ensure consistency in configuration and data capture * Configure and improve ticket routing, queue visibility, escalation workflows, and agent productivity settings * Manage user profiles, groups, roles, and access permissions * Document configurations, changes, and best practices to support a well-maintained, auditable environment * A significant aspect of the role involves supporting a transformation from regional structures with individual workflows to a standardized approach across all regions. * Experience with transformation projects would be valuable. * Additional bonus qualifications include experience with Zendesk AI modules, specifically Ultimate and Zendesk Copilot. Reporting & Analytics (Zendesk Explore) * Build and maintain dashboards in Zendesk Explore for key support metrics including ticket volume, backlog, first response time, resolution time, SLA performance, CSAT, and agent activity * Ensure data is captured consistently across regions and that reports accurately reflect real-world support operations * Support Support Managers and Operations teams with ad-hoc reporting and data queries Process Improvement & Standardization * Work closely with Support Operations, Support Managers, IT, and other internal teams to understand operational needs and translate them into practical Zendesk configurations * Contribute to the improvement of knowledge base processes (Zendesk Guide) and Help Center content * Support the adoption of standard operational definitions across regions, ensuring Zendesk reflects agreed ways of working Troubleshooting & Internal Support * Troubleshoot Zendesk configuration issues and resolve agent-facing problems promptly * Serve as a point of contact for internal Zendesk questions and escalate to the Senior Administrator when needed * Monitor platform health and proactively flag configuration risks or data quality issues 🕵️‍♂️ What We're Looking For: * Experience: 3–5 years of Zendesk administration or support operations experience, with hands-on exposure to Zendesk Support configuration. Background in a multi-team or multi-region environment is a plus. * Jira * Languages: Fluent in English (C1). Knowledge of additional European languages — Dutch, French, Spanish, or Portuguese — is a strong plus. * Communication: Strong communication skills, both verbal and written. * Technical Skills: Hands-on experience with Zendesk Support: triggers, automations, macros, views, forms, and ticket fields. Experience building dashboards and reports in Zendesk Explore. Familiarity with Zendesk Guide (Help Center) and Jira integrations is helpful. Basic understanding of APIs or integrations is a plus. Zendesk certification is advantageous but not required. * Interpersonal Skills: Detail-oriented, curious, and well-organized, with a genuine interest in improving support processes. Comfortable working with both support agents and technical teams. Proactive troubleshooter who is willing to learn and take ownership of platform quality. Strong communicator who can translate technical changes into clear explanations for non-technical stakeholders. 🤝 Our Recruitment Process: 1. 15-minute introductory call with our Talent Acquisition Specialist. 1. Interview with the VP CS and a member of the Support Operations team 2. Interview with CS Senior Manager 💎 What We Offer: We understand that flexibility and trust are essential for our teams. Here are some of the benefits we offer: * 🏡 Remote Work: Up to 3 days a week! * 👩‍⚕️Private Medical Insurance * 🤝 Referral Bonus: €1500 for every talent you refer (after probation period). * 👩‍⚕️ Pension Premium contribution premium. * 📚 Continuous Learning: Access to our internal platform for continuous development. 🌍 Diversity, Inclusion & Belonging At Nextlane, we are committed to creating a space where everyone feels valued and respected. We firmly believe that diversity in experiences and backgrounds strengthens our culture and drives innovation. * Support for people with disabilities. If you need any adjustments during the recruitment process, let us know so we can provide the best possible experience. * Equal opportunities for all: We welcome applications regardless of age, gender, origin, disability, or any other characteristic protected by law. Join Nextlane and become part of the technological revolution in the automotive industry. Discover why we are a great place to develop your talent!

ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50. THE ROLE Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer, you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the systems, agents, workflows, and feedback loops that make support better, faster, and more scalable over time. This is a senior individual contributor role for someone who has already operated close to support strategy, technical escalation, user experience, and automation. You should be excited by the idea of taking recurring customer pain and turning it into durable systems: better agents, better documentation, better internal tooling, sharper product feedback, and fewer repeat issues. The best person for this role is not a traditional support leader who wants to manage a queue from a distance. It is someone with strong technical instincts, a deep user mindset, and a track record of building support systems that change how a team operates. You might be a great fit if you have built an AI-powered support function, owned support tooling at scale, worked deeply with LLMs or automation, or carried a support strategy from problem discovery through implementation and measurement. WHAT YOU WILL OWN BUILDING THE AI SYSTEMS THAT MAKE SUPPORT SCALE You will design, build, and continuously improve the AI-powered systems that help Dust support customers with speed and quality. This includes agents for ticket classification, auto-acknowledgement, response drafting, internal routing, proactive incident detection, knowledge retrieval, and escalation support. You will identify categories of recurring issues and engineer them out of the support queue. Sometimes that means building a better Dust agent. Sometimes it means improving documentation, creating an internal tool, tightening a workflow, writing a script, or escalating product feedback upstream with enough context for engineering to act. You will be expected to measure whether the systems you build actually improve the user experience. Seniority here means not just shipping tooling, but knowing what good looks like, instrumenting it, and iterating until the impact is visible. RUNNING COMPLEX SUPPORT WHEN THE SYSTEMS FALL SHORT You will still be close to the work. You will investigate complex customer issues across logs, code, internal tooling, product behavior, and agent outputs. You will provide clear, accurate answers to customers, including when the underlying issue is ambiguous or technically complex. You will handle escalated cases with precision and judgment, communicating clearly with both technical and non-technical users. You should be comfortable translating between customer language, product behavior, engineering detail, and business impact. When AI-generated responses are incomplete, inconsistent, or wrong, you will debug the system behind them. You will improve prompts, knowledge sources, workflows, routing, tooling, and escalation paths so that the same failure mode does not repeat. SHAPING THE SUPPORT STRATEGY You will help define how Dust should run support as we scale. That means thinking beyond the queue and owning the full loop: what customers experience, what support sees, what agents can handle, what engineering needs to fix, and what product should learn. You will translate repeated customer pain into high-quality product signal. You will build strong working relationships with engineers and product teams so escalations are high-context, actionable, and efficient. You will also help raise the bar for how the support function operates: what we measure, how we prioritize, how we review quality, how we onboard junior team members, and how we decide what should be automated versus handled by a human. WHAT WE ARE LOOKING FOR Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency. APTITUDE You have strong technical depth. You are comfortable with APIs, web applications, logs, scripts, and internal tools. You can navigate a codebase, reason through product behavior, and troubleshoot systems without being stopped by a stack trace. You have genuine AI fluency at builder level. You have built agents, automations, workflows, or internal tools using AI systems such as Dust, Cursor, Claude Code, n8n, GPT-4, Claude, Mistral, Gemini, or similar platforms. You are not just good at prompting. You understand how to turn AI into operational leverage. You have experience operating at the strategy layer of support, not only at the ticket layer. You have owned or helped shape support systems, support tooling, escalation workflows, deflection strategy, knowledge management, or AI support operations. You can balance technical accuracy with user experience. You care about whether the customer understood the answer, whether the product pain was addressed, and whether the issue will happen again. You are able to communicate bidirectionally: clearly enough for customers, technically enough for engineers, and strategically enough for leadership. ATTITUDE You combine resilience with empathy. This is a front-line role, and customer frustration is often direct and unfiltered. You do not take it personally, but you do take it seriously. You are proactive rather than reactive. You do not wait for a perfect problem statement from the customer. You investigate, infer, clarify, and anticipate what they may need next. You have strong prioritization judgment. You know what needs an immediate human response, what can be automated, what should be escalated, and what should become product feedback. You are comfortable setting boundaries. You do not say yes to everything, and you can explain tradeoffs clearly in a way that builds trust rather than eroding it. You care about the craft of support. You see support as a product experience, not a back-office function. AGENCY You turn patterns into systems. When you see the same issue twice, you start asking whether it should exist at all. You go deep before escalating. You investigate as far as you reasonably can, so that when you involve engineering or product, they receive a clear problem statement, relevant evidence, and a useful recommendation. You build without waiting for permission. If you see a gap in the support system, you are excited to prototype, test, and ship a better version. You continuously improve your own workflows. You treat your time, your tools, and your operating system as things worth debugging. You extract product opportunities from customer interactions. You do not let support signal disappear into a solved ticket. You close the loop. WHAT STRONG CANDIDATES MAY HAVE DONE BEFORE You may have: * Built or led an AI-powered support function * Designed support agents, internal copilots, escalation workflows, or deflection systems * Owned technical support tooling, support operations, or automation at a fast-growing software company * Worked as a senior support engineer, technical support engineer, developer support engineer, support ops engineer, solutions engineer, or implementation engineer * Built a support product, internal platform, AI startup, or automation-heavy support system * Operated in a high-volume environment where quality, speed, and judgment all mattered We care more about the depth and relevance of your experience than the exact number of years. That said, we expect this role to be a fit for someone who has already spent several years close to technical support, support engineering, AI tooling, or support systems ownership. WHAT THIS ROLE IS NOT This is not a traditional customer support role focused only on ticket resolution. It is not a people-management role where you are far away from the technical work. It is not a pure operations role where you optimize process without building. It is not a role for someone who is curious about AI but has not yet built with it. The person we are looking for should be excited to own the messy middle between customers, AI agents, internal tooling, engineering, and product. COMPENSATION AND BENEFITS * Competitive compensation * Significant equity package in a Sequoia-backed startup * Substantial relocation support, up to 10k€, including help finding an apartment in Paris and support with the visa process * Health insurance for you and your dependents * New MacBook Pro or Linux machine, monitor, keyboard, and equipment * Beautiful office in the heart of Paris * Opportunity to travel to the US multiple times a year * Regular team events and offsites We can go higher for exceptional profiles. LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk. Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. Learn how we think and work. * Our product constitution, a story about our mission * Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024 * LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024