
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.
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.
the internal expert for customer scenarios
stakeholders over time
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.
and roadmap priorities
with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion
implementation engineer).
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.
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.
FEQ327R288 This role is based out of Paris and can involve travel up to 30% when needed SPECIALIST SOLUTIONS ARCHITECT - PLATFORM SECURITY AND CLOUD INFRASTRUCTURE As a Specialist Solutions Architect (SSA-SME), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. Reporting to the Manager, Field Engineering (Specialist). THE IMPACT YOU WILL HAVE: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation * Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community and act as a technical SME. WHAT WE LOOK FOR: * Pre-sales or post-sales experience working with external clients across a variety of industry markets * Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) * Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking, including: * Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity). * Architect production cloud networks for data and AI workloads, including segmentation and routing, data exfiltration prevention, and performance/reliability * Identity & Access Management (e.g. role-based access control, using the principle of least privilege, integration with IdPs, etc) * Hands-on experience with cloud infrastructure automation (e.g. Terraform or cloud-specific resource management tools like ARM, CloudFormation, etc). * Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks to augment SIEM, enable security analytics and threat hunting, and build advanced detections. * Ability to design and extend highly performant, scalable, secure, and cost-effective cloud-based big data solutions * Deep knowledge of development tools and best practices for engineers including CI/CD, unit and integration testing, plus automation and orchestration * Production programming experience in one or more of the following languages - Python, Scala, SQL, or R * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience * The role is located in Amsterdam and requests travel up to 30% when needed. * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SOLUTION ENGINEER About Neural Concept Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows. Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight. We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us. About the Role As a Solution Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence. This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities. What you will do * Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs * Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded * Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision * Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision * Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows * Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes * Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge * Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals * Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities Who you are * You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI * You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood * You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations * You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back * You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes * You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices * You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting * Professional fluency in French and English What Will Set You Apart Candidates who bring the following will be able to take on a wider scope and go deeper with the most technically complex accounts: * You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation * You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment * You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect * You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools Nice-to-Have * Strategic or technical consulting background, executing digital transformations * Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk) * Background in ML/DL research or development in an engineering context * Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines) What You Get * Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence. * Benefit from a competitive salary and rewarding opportunities as we continue to scale. * Thrive in a collaborative, multicultural environment where your work is visible and recognized. * Develop professionally alongside talented colleagues who share knowledge freely and support one another. * Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. * Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules. WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.
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 As a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines, and resolving complex challenges around scale, permissions, and governance. Your work as a customer-facing engineer will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale. WHAT YOU'LL ACHIEVE * Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. * Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. * Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. * Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. * Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem. * Design and build customer integrations, automations, and custom tooling as a part of Notion implementations. * Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers * Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale. * Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow. SKILLS YOU'LL NEED TO BRING * 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment. * Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. * Hands-on experience with APIs and data integration. * Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. * A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale. * Fluency in English and French. NICE TO HAVES * Experience working in SaaS professional services, preferably in a startup or high-growth environment. * Experience deploying AI agents autonomously in complex coding or business workflows. * Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. * Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. * Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. * Strong track record of successful enterprise customer implementations. 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 - €166,000per 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.