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Forward Deployed Engineer, GTM, DACH

in 80331, München, Bayern, Deutschland
Unternehmen: Notion
Vollzeit position
Verfasst am 2026-06-29
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Cloud Computing: IT-Infrastruktur & Betrieb, Künstliche Intelligenz Ingenieur, IT Consulting, Technischer Support
Gehalts-/Lohnspanne oder Branchenbenchmark: 60000 - 80000 EUR pro Jahr EUR 60000.00 80000.00 YEAR
Stellenbeschreibung

About Notion

Notion helps you build beautiful tools for your life’s work. In today’s world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

About

The Role

As an early Technical Architect on Notion’s Professional Services team, you will play a key role in designing and implementing end-to-end technical solutions that drive successful customer engagements, particularly for large-scale enterprise deployments. 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.
  • 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.
  • Participate in and lead technical design sessions, documenting current and future state architectures and identifying gaps, risks, and tradeoffs.
  • Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
  • Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
  • 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.
  • Build foundational discovery frameworks, technical standards, and internal tooling that define how Professional Services delivers complex migrations and implementations at scale.
  • Contribute to the evolution of the Professional Services team by developing repeatable methodologies, scoping artifacts, 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 practical solutions at scale.
  • Fluency in both English and German.
  • You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.
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,…
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