
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.
(FEQ427R38) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. * Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation. * Lead strategic engagements, shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth across territories in the regions. * Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * 5+ years of experience engaging in technical customer interactions, preferably bringing direct pre-sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role. * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth. * Ability to dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) * Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). * Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. We will be testing your ability to utilise AI-assisted tools through our hiring process! Key Notes for the role: * Location for the role needs to be within a commutable distance of our office location for a hybrid schedule. * You will need to be flexible and willing to travel across the region(s) for customer visits & events on a regular basis (i.e. up to ~2 weeks per month). * Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region. * Excellent communication skills in English required as a minimum. #LI-hybrid 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.
FEQ327R195 The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Form successful relationships with Greenfield (New Logo) clients within the SMB market in France, providing technical and business value to Databricks customers in collaboration with Account Executives. * Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. * Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. * Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: * Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. * Develop customer relationships and build internal partnerships with account executives and teams. * Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. * Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). * Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: * The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). * Flexibility to travel (up to 30% as required for customer meetings, events and trainings). * Business proficiency in both French and English required. 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.