Solutions Engineer

Solutions Engineer, Enterprise, France

Notion

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE The Notion sales organisation has a strong Product Led Growth lean, with many customers entering our funnel through our self-service motion before our product grows toward being a wall-to-wall solution. As we move to the enterprise space, more and more prospects are investigating how Notion can integrate with their existing tech stack, replace existing solutions, or be deployed in large or phased implementation to support desired business goals. This role will be the second SE in Paris, working with the existing EMEA team located in Dublin, Munich and London. As an early member of the Solutions Engineering team, you will: * Partner with members of the sales org on customer engagements with prospective and existing customers * Respond to advanced product and technical questions, RFPs, and security questionnaires in a precise and timely manner * Provide thoughtful technical guidance to customers throughout the sales process, with a focus on quickly enabling customers to successfully deploy and integrate Notion * Deliver compelling product demonstrations that emphasize business value and outcomes, helping customers visualize how Notion solves their specific challenges * Showcase custom solutions with Notion based on deep understanding of Notion’s ability to support customer workflows and integrated applications as part of the pre-sales process * Curate structured product feedback to enable the Product and Engineering teams to enhance and refine Notion to solve customer needs * Work with marketing to refine our technical narrative for the product, including blog posts, webinars, and customer-facing marketing collateral * Educate the sales org on the product, upcoming releases, competitive analysis, and topical information about typical customer environments and third party applications * Document technical considerations and contribute to internal knowledge bases as a resource for other teams, customers, and partners WHAT YOU'LL ACHIEVE * Serve as the customer's technical advisor: You'll help customers craft Notion to serve their specific business needs and explore new workflows and use cases. * Meaningfully shape our future product and messaging: As you engage with customers, you'll gain insights to help us serve them better — and work with product to inform what we do next. * Drive revenue and growth our customer base: Make a real impact and play a pivotal role in growing Notion's user base in your local market. * Help build the foundations of Solutions Engineering at Notion - As an early member of our SE org and regional team, you'll be instrumental in helping define our sales-assisted motions. * Join a fantastic team at a magical time: Notion has over three million users with a small team, which gives us a huge green field to work with. You'll join at the perfect time to shape how we grow from here. * Represent Notion at events: You'll be the face of Notion at industry conferences, trade shows, and customer events. You'll present our product vision and showcase its features, helping to build trust and strong relationships with both prospective and existing customers. * Elevate your skills as we tackle our most impactful challenges: We've achieved more than teams 10x our size in less time — and there's so much more to do and learn. SKILLS YOU'LL NEED TO BRING * 5+ years as Technical Sales Engineer, Solutions Consultant, Solutions Engineer or Solutions Architect * You have a deep understanding of the AI landscape, are confident in both using AI tools and explaining their benefits to prospetive and existing customers. * You’re able to understand and explain how APIs can be used to support advanced customer workflows and have experience working with third-party integrations * You are fluent French and English * You have strong project management experience and have managed complex projects to completion * You have a growth mindset and thrive in the building stage of a nascent team * You’re highly adaptable, easily acclimating to a rapidly changing business and industry NICE TO HAVES * You've been a first or early hire at a fast-growing startup before * You have experience using Notion * You have coding experience that would enable you to write basic scripts using the Notion API * You have experience using with and designing relational databases Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €123,000 - €138,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Solutions Engineer intern

Bigblue

📍 Paris | Internship | Fluent 🇫🇷 & 🇬🇧 E-commerce is booming — but independent brands still struggle to match the seamless logistics of giants like Amazon. At Bigblue, we're on a mission to change that. We help brands by democratizing best-in-class operations: scaling faster while delivering a five-star customer experience. Since 2018, we've built a tech-driven logistics platform powering 500+ brands — from fast-growing DTC players to global names like MUJI, Aigle, and Cabaïa. With 110+ employees across Paris, Madrid, and London, our proprietary WMS (Warehouse Management System) Atlas, and a network of 7 warehouses across Europe, we're solving logistics challenges that others haven't dared to tackle — making fulfillment faster, smarter, and greener. Backed by $20+M in funding and trusted by the next generation of e-commerce leaders, we're scaling rapidly — from 10 million orders in 2024 toward ambitious enterprise expansion. The journey ahead is bold, and we're looking for the right partner to help us lead the way. Product team You'll join the team that powers Bigblue's growth, with a triple mission: Absorb complexity and connect teams so the company can scale quickly without breaking Stay close to merchants and warehouse operators to detect issues and opportunities early Ensure that every release makes the experience smoother and more reliable You'll collaborate directly with experienced Solutions engineers, product managers and engineers (Apple, Vimeo, Alan, etc.) and see how a world-class product team builds, adapts, and scales technology. Along the way, you'll gain hands-on technical expertise, sharpen your integration skills, and play a central role in shaping Bigblue's future.

Solutions Engineer Post-Sales

Dust

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. TLDR; As a Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through value realization, identifying expansion opportunities, and creating high-value, sticky use cases that make Dust indispensable to their operations. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention. RESPONSIBILITIES * Develop and maintain deep expertise in Dust's product, platform capabilities, and prompt engineering best practices to serve as the internal expert for customer scenarios * Serve as a trusted technical advisor to our Enterprise customers, building deep relationships with both technical and business stakeholders over time * Lead advanced implementation projects, including high-value, high-impact use cases, technical integrations and custom workflows * Lead training & workshop sessions, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams). You must possess strong technical acumen and high emotional intelligence (EQ) to adapt explanations and presentations to the audience, ensuring clarity and engagement. * Partner with Customer Success to drive high-value adoption, retention and expansion among your book of business * Champion customers' needs with Product & Engineering teams, translating usage patterns and feedback into product requirements and roadmap priorities * Be instrumental in building our global Solutions Engineering organization from the ground up as our first post-sales SE hires, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion REQUIREMENTS * 4+ years in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer). * An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues. * A strong work ethic and commitment to excellence. * A deep interest in understanding customer needs and the desire to become an expert on Dust’s product. * Strong relationship-building skills with ability to establish yourself as a trusted technical advisor * Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks. * Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals. * A data-driven mindset that can interpret customer feedback and behavior. * A passion for technology, problem-solving, and a commitment to your customers’ success. * High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable. 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