
Dust · Paris
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 choi...
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
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.
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.
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.
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.
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.
Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency.
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.
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.
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.
engineer, or implementation engineer
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.
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.
We can go higher for exceptional profiles.
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.
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.
About Prelude Prelude is redefining how companies authenticate and onboard users - turning what's traditionally a cost center into a growth lever. Our flagship product lets businesses send OTP codes with the best price-to-conversion ratio on the market, dynamically selecting the most effective channel in real time (optimized SMS, WhatsApp, and more) while actively blocking spam and fraud that legacy providers miss. Founded in 2022 by former Zenly team members who lived the pain of broken SMS authentication firsthand, we're already serving fast-growing companies across Europe and are expanding into the US. But authentication is only the starting point - we're building the platform for trust at scale, with an ambitious roadmap of market-defining products ahead. Why join us Today, we're a team of 60 and growing, based in Paris, building products that power secure and high-performance user onboarding for companies across the world. We believe small, highly skilled teams outperform large, fragmented organizations, and we are intentional about staying focused on impact, quality, and speed. We operate with a flat org structure and value in-person collaboration, which helps ideas move faster, decisions stay grounded, and teams take full ownership of what they build. Our values * Care We care deeply about our customers, our teammates, and the quality and reliability of what we ship. * Bias for Action We move fast, test in the real world, and iterate quickly rather than over-optimizing in theory. * Ownership We take responsibility end to end, from identifying problems to delivering outcomes and learning from results. ABOUT THE ROLE This is more than a typical support role. You’ll be one of the first senior support hires at Prelude, with real ownership over how the function takes shape as we grow. When a developer at Voodoo is debugging a webhook signature, when X sees unexpected 429s in production, when Tipalti walks through a retry policy with us, or when Suno is troubleshooting a delivery rate dip in our API logs, you’re the person on the other end. You set the tone for how Prelude shows up: technically sharp, calm under pressure, and genuinely useful when something is on fire. You won’t inherit a finished playbook. You’ll help shape it, alongside a team that’s excited to learn from you as much as it wants to support your growth here. WHAT YOU’LL DO * Own end-to-end technical support for our developer customers: engineers integrating our SDKs, debugging webhooks, exploring our API logs, asking thoughtful questions about rate limits and retry behavior. You’ll triage, investigate, and resolve issues, working closely with Engineering whenever a fix or deeper dive is needed. * Help onboard our new customers, partnering with Sales and Engineering to turn a signed deal into a smooth integration and a confident first weeks in production. * Proactively monitor key accounts to look for ways to improve their experience and optimize their usage of Prelude. Spot usage anomalies, untapped features, and integration patterns worth refining, and reach out before customers have to ask. * Develop a deep understanding of how our clients’ businesses work and how their end-users interact with our platform. The more context you carry, the sharper the help you offer, and the more useful the signal you can route back to Product. * Get into our customers’ code. Reproduce their integrations, run their curl calls, read our SDK source when their stack trace points there, and send back answers that include the exact request, the response, and a clear explanation of what happened, not just “we’re looking into it.” * Help us build the foundations of our support function as we scale: runbooks, on-call rotation, escalation paths, SLAs, internal triage, customer-facing status communication. A lot of this is still being defined, and your judgment on what it should look like is welcome from day one. * Bring AI into the workflow from week one. We’d love to hear about specific workflows you’ve shipped, like triage automation, log-analysis loops, response drafting, or custom Claude or GPT integrations against internal tools, and the leverage they created for your team (hours saved per week, tickets pre-classified, faster resolution times). * Spot recurring issues and partner with Engineering and Product to fix them at the source. The best ticket is one that never has to be filed again: a doc fix, an SDK improvement, a clearer error message, a small product change. * Be a calm, technical presence when a customer’s production is degraded, and a thoughtful voice in the post-incident debrief the next morning. Help drive momentum when something is stuck. We rely on senior teammates to move things forward when no single team owns the problem. WHAT WE’RE LOOKING FOR 6+ years supporting developers at a B2B SaaS company, somewhere like Stripe, Twilio, Vercel, Segment, Auth0/Okta, Plaid, Cloudflare, Datadog, Linear, Sentry, PostHog, Resend, Clerk, WorkOS, Supabase, Pinecone, Algolia, LaunchDarkly, or Speakeasy. Your customers have been developers (people building products on top of an API) rather than business users on a dashboard. You’re comfortable in code. You have a software engineer background and can write at least one of Python, JS/TS, or Go fluently enough to follow a stack trace, scan an SDK file, and point a customer toward the line that matters. You use curl and Postman without thinking about it, write SQL when you need to, and feel at home in tools like Datadog or Grafana. You use AI deliberately as part of your craft. We’d love to hear about workflows you’ve shipped in the last six months (internal tools, triage layers, log-analysis loops, custom Claude/GPT setups) and the measurable impact they’ve had. Less interested in whether you’ve experimented; more interested in what you’ve put into production. You’ve shaped how a team operates. Maybe you introduced a runbook, started the on-call rotation, stood up an AI triage layer, or partnered with engineering to retire a recurring class of tickets. We pay attention to what you’ve built and changed, not just how long you’ve been doing the work. You bring momentum. You’re patient with people and impatient with stuck systems, comfortable pushing for resolution when customers are waiting, without losing your sense of humor. Excellent written English. You’ll be writing to engineers at some of the world’s most demanding companies. French or other European languages are a bonus, not a requirement. BONUS POINTS You’ve been one of the first 1–5 hires in a support function before, or you’ve watched a company scale from under 50 to over 200 and have a feel for what “good” looks like at each stage. You’ve helped run or contribute to a developer community (Discord, Slack Connect, a forum) and enjoy turning a confused integrator into a power user. You’ve built small internal tools yourself: a Retool app, a Slack bot, a quick script to pull a customer’s recent traffic before you reply. You’d rather build than wait. IS THIS YOU? If you’ve spent the last few years deep in developer-facing support, you reach for AI to amplify your work rather than admire it from a distance, and you’re excited about being the person who helps define what great support looks like at a fast-growing company, we’d love to talk. INTERVIEW PROCESS * 30 minutes with Talent. * 60 minutes with our co-founder, Quentin. * 60 minutes with Engineering and Support. Come ready to share a ticket you’d love to revisit, an AI workflow you’re proud of, or an incident you helped run. We enjoy going deep. * 60 minutes with our CEO.
Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction. Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain. You can find below an interesting link about who we are and what we do : Insights about Outsight Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience. We also deploy our solutions in other markets such as Tourism, Retail and Sports. Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW. Context We are looking for a pioneering backend developer to engineer the intelligence engine of our spatial workflows. This role owns the application-layer execution, state machines, and background runtimes that convert simple user intent or live streaming data thresholds into proactive, automated workflows and operations. Responsibilities Architect multi-step autonomous AI execution paths, context assembly modules, and chatbot routing engines. Implement reliable memory systems, state-tracking loops, and proactive alerting pipelines. Consume the streaming layers and data context provided via MCP servers by the Data Engineering team to wire up secure application logic. Integrate automated cross-platform notification pipelines (Slack, webhooks, alerting protocols) triggered directly by autonomous decisions. Requirements for the role Agentic Workflow & Productivity Edge:Mandatory Expertise: Deep, practical experience building production-grade autonomous loops, ReAct patterns, and multi-agent state architectures (e.g., LangGraph, AutoGen, or custom async graph structures). The candidate must naturally code within an AI-augmented environment to accelerate output, displaying elite productivity and immediate architectural autonomy. Why join us? Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows. As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents. Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics. Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer. Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.
JOIN OUR MISSION, JOIN DOCTOLIB! We are looking for a Senior AI Engineer to join the Patient team in Paris. The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing. You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them. Your responsibilities include but are not limited to: * Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers). * Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML. * Build evaluation and observability into every stage, with offline and online evaluation. * Set up the data/event feedback loops that drive iteration and feed deeper ML later. * Improve search relevance and ranking on Patient facing products , raising result quality * Own production quality: latency reliability, monitoring, and maintainability. * Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business. WHO YOU ARE Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You could be our next team mate if you have: 1. Production deployment: ability to ship algorithms to production (ECS-based service on AWS) 2. Strong analytical mindset: result-oriented, patient-first approach 3. Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production. 4. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR 5. AI-engineering proficiency: turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch 6. Architecture-first approach: you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling 7. Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring 8. Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability Now, it would be fantastic if you: * Experience at a B2C marketplace (e-commerce, hospitality, travel) * Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference * Have experience with search engines or information retrieval concepts * Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers) * Have experience in a healthcare or other regulated domain (GDPR / HDS) WHAT WE OFFER * Free comprehensive health insurance (basic package) for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support THE INTERVIEW PROCESS * A first interview with a member of the Talent Acquisition team * A coding interview * An agentics system design * A final interview * Reference check JOB DETAILS * Permanent position * Full Time * Workplace: Levallois * Start date : As soon as possible At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.