Forward Deployed Engineer, Gtm, France

Notion Notion · Enterprise · Paris, France · Sales

This role focuses on leading customer engineering engagements for Notion, specifically involving AI/agentic deployments, integrations with third-party systems, and large-scale migrations. The engineer will embed with enterprise customers to design and build solutions, including custom code, AI workflows, and data pipelines, while also providing technical advisory and feedback to product teams.

What you'd actually do

  1. Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
  2. Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
  3. Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
  4. 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.
  5. 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

Skills

Required

  • 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 have

  • 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.

What the JD emphasized

  • production AI/agentic deployments
  • custom agents and AI workflows
  • custom code
  • data pipelines
  • scale, permissions, and governance
  • large-scale content and data migrations
  • customer integrations, automations, and custom tooling

Other signals

  • customer-facing AI/agentic deployments
  • design and deploy production-grade custom agents and AI workflows
  • build data pipelines
  • customer integrations, automations, and custom tooling