
Notion · Paris
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, a...
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.
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.
solution design, and end to end implementation.
expand and deepen their use of Notion.
systems and workflows.
transformation logic, validation, and post-migration optimization.
solutions that maximize the value of the Notion platform within their broader technical ecosystem.
actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our
Customers
migrations and implementations at scale.
and contributing best practices as the team and customer footprint grow.
SaaS or enterprise software environment.
production-quality code in customer-facing or internal engineering contexts.
at scale.
analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
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
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.
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.
CSQ427R154 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * Extensive experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * 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.
ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE You will join the Test Bench team — the team building the software and hardware systems that automate our production line testing systems. As a Forward-Deployed Engineer, you are the product owner of the stations on the floor. Where Automation Software Engineers build the technology, you make it work in production: reliably, ergonomically, and at industrial grade. You will own deployed test stations, drive their continuous improvement, and act as the primary feedback channel between the factory floor and the engineering team. RESPONSIBILITIES STATION OWNERSHIP & INDUSTRIAL HARDENING * Take ownership of deployed test stations and make them production-grade: mechanically robust, operator-friendly, and maintainable under real production conditions. * Diagnose and resolve hardware, software, and integration issues at the station level; escalate to Automation Software Engineers when a software change is required, with a clear spec of what needs to change and why. CONTINUOUS IMPROVEMENT & OPERATOR ADOPTION * Identify recurring failure modes and friction points — not just technical, but workflow and ergonomic — and work with the engineering team to implement lasting fixes. * Build and maintain operator trust: a station that works technically but that operators avoid is not done. Your measure of success is adoption, not completion. R&D & ENGINEERING COLLABORATION * Translate floor observations into structured, actionable feedback for the engineering team: what operators are actually doing, what is breaking, what is slowing the line down, and why. * Own new station bring-up on the floor: work alongside Automation Software Engineers during integration, validate that the station meets production requirements, and sign off on readiness. * Perform hardware interventions on stations and integrate new hardware systems on the floor — sensors, cameras, instruments — getting them communicating with the existing stack. CANDIDATE REQUIREMENTS * 2+ years of hands-on experience in a production, field deployment, or industrial environment — manufacturing or robotics background preferred. * Comfortable with hardware: wiring, fixture work, component swaps, and basic electrical troubleshooting. * Comfortable with 3D CAD design and mechanical integration. Experience working on control cabinets is a plus. * Comfortable with Python and Linux: able to read logs, run diagnostic scripts, modify configurations, and debug a misbehaving system at the command line. You don’t need to be a software engineer, but you can’t be afraid of a terminal. * Strong instinct for root cause analysis: you distinguish symptoms from causes, and you look for a second root cause when the first fix doesn’t fully solve the problem. * Excellent communication skills: able to work effectively with operators on the floor and with engineers in Paris, and to translate between the two. Fluent in French and professional English LOCATION AND COMMITMENTS * Contract Type: CDI * Work Schedule: Full-time * Availability: ASAP * Location: On-site at our manufacturing facility (1 hour from Paris) We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.
Ekimetrics est un leader mondial de l'efficacité marketing et commerciale et des solutions d'IA à l'échelle. Depuis 2006, nous aidons les entreprises à optimiser leur marketing et leurs opérations en combinant IA avec expertise business et technologique dans 4 domaines : Marketing & commercial effectiveness, Customer analytics, Operational excellence, AI for sustainability. Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous concevons des solutions sur mesure qui transforment les données en impact positif concret, grâce à une combinaison unique de technologie et de services. Notre force est de déployer une IA à impact, à grande échelle. Notre mission : mobiliser cette puissance pour répondre aux défis les plus urgents de notre temps. Nous nous engageons pour une IA responsable et frugale, pour garantir un impact constant à grande échelle, et pour rester fidèles à nos valeurs et à notre ADN. À propos du rôle Ekimetrics recherche un.e Senior Engineering Manager capable d’incarner l’excellence technique, l’innovation et la vision stratégique. Ce rôle est au cœur de notre offre de développement de solutions sur-mesure pour nos clients et vise à garantir la qualité et la fiabilité technique, ainsi que la cohérence de l’architecture et des choix technologiques. Vous intervenez comme référent.e technique, bras droit du responsable du développement de solutions data et IA sur-mesure pour nos clients, et comme figure aspirationnelle pour les équipes. Vous êtes reconnu.e pour votre capacité à naviguer sur toute la chaîne de valeur data & IA, du full stack à l’industrialisation de modèles avancés. Responsabilités principales Leadership Stratégique & Vision - Co‑construire avec les dirigeants (C‑level) des entreprises que nous accompagnons leur vision Data & IA. - Traduire cette vision en roadmaps technologiques, architectures cibles et stratégies d’implémentation. - Assurer l’alignement entre enjeux business, contraintes techniques et création de valeur mesurable. Expertise Technique & Garant de l’Architecture - Être le référent technique sur les projets : choix de la stack, design d’architecture, bonnes pratiques, scalabilité, sécurité. - Superviser la conception et l’implémentation de solutions sur mesure : data pipelines, plateformes cloud, modèles IA, APIs, middleware, MLOps. - Assurer la cohérence technique des projets : montée de version, maintenance, performance, robustesse opérationnelle. - Intervenir sur des projets end-to-end, incluant data engineering, IA, déploiement, monitoring et adoption, ainsi que développement web. Pilotage de Solutions de Bout en Bout - Diriger des équipes pluridisciplinaires pour concevoir, développer et déployer des solutions Data & IA de A à Z. - Maîtriser les environnements cloud (Azure, AWS, GCP) et les plateformes modernes (Databricks, Snowflake). - Garantir la qualité technique, la performance et la fiabilité des solutions livrées. Innovation, Veille & Connexion au Marché - Être à la pointe des dernières avancées technologiques : nouveaux algorithmes, frameworks, architectures, outils IA/ML, innovations Databricks/Snowflake... - Développer une vision claire des tendances du marché et des meilleures pratiques. - Inspirer les équipes et les clients par une posture d’expert reconnu et connecté à l’écosystème. Structuration & Leadership d’Équipes - Contribuer à structurer la fonction custom build pour l’amener à une nouvelle dimension. - Travailler main dans la main avec le Head of Custom Build interne, en tant que bras droit technique. - Encadrer, coacher et faire monter en compétence des équipes de data engineers, ML engineers, développeurs et data scientists. - Insuffler une culture d’innovation, d’excellence technique et de delivery irréprochable. Profil recherché - 8–12 ans d’expérience en data/IA, dont un rôle de Head of Data & AI, Forward Deployed Engineer, ou équivalent. - Expérience du pilotage d’équipes pluridisciplinaires. - Expérience démontrée sur des projets IA complexes, de la conception à la mise en production. - Maîtrise des stacks data, middleware et IA, ainsi que des architectures cloud modernes. - Forte curiosité technologique et capacité à anticiper les tendances. - Aptitude à proposer des approches innovantes et pragmatiques. - Aisance avec les dirigeants et capacité à traduire les enjeux business en solutions data/IA. - Profil aspirationnel, dynamique, capable d’incarner la modernité et l’ambition technologique d’Ekimetrics.