
Forward Deployed Engineer, GTM - Korea
Notion · Seoul, Seoul, South Korea
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- On site
- Full-time
- $120,000 / year
- Seoul, Seoul, South Korea
Job highlights
- Lead complex customer engineering engagements end-to-end.
- Design and build integrated solutions for enterprise clients.
- Develop custom agents, automations, and data pipelines.
- Collaborate with clients to maximize Notion platform value.
- Influence product roadmap through implementation feedback.
About the role
About Us
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 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.
- You are a native-level Korean speaker with business-level English proficiency (including spoken English)
- 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, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
Equal Opportunity Employer Statement
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, colour, 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.
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.
Key skills/competency
- Forward Deployed Engineer
- Go-To-Market
- Customer Engineering
- SaaS
- Enterprise Software
- APIs
- Data Integration
- AI Agents
- Python
- JavaScript
Skills & topics
- Forward Deployed Engineer
- Go-To-Market
- Customer Engineering
- SaaS
- Enterprise Software
- API Integration
- Data Pipelines
- Python
- JavaScript
- AI Agents
- Korea
- Technical Advisor
- Customer Engagements
- Solutions Architect
- Software Implementation
- Migration Specialist
How to get hired
- Tailor your resume: Highlight customer-facing engineering, API integration, and programming skills (Python, JavaScript).
- Showcase impact: Quantify achievements in delivering customer value and solving technical challenges.
- Demonstrate language skills: Emphasize native Korean and business-level English proficiency.
- Prepare for technical interviews: Practice coding, API design, and problem-solving scenarios.
- Research Notion's culture: Align your application with their values of collaboration and innovation.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Forward Deployed Engineer role at Notion?
- The Forward Deployed Engineer role at Notion requires proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, alongside hands-on experience with APIs and data integration. Experience with AI agents and deploying them autonomously is also highly valued.
- What level of Korean and English proficiency is needed for the Forward Deployed Engineer position?
- For the Forward Deployed Engineer position at Notion, native-level Korean and business-level English proficiency, including spoken English, are required.
- How does Notion foster in-person collaboration for its Forward Deployed Engineers?
- Notion emphasizes in-person collaboration, requiring team members to work from their offices on Mondays, Tuesdays, and Thursdays as designated Anchor Days. Certain teams or positions may have additional in-office requirements.
- What is the expected experience level for a Forward Deployed Engineer at Notion?
- Notion typically looks for candidates with 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or a similar position, preferably within a SaaS or enterprise software environment.
- How can a candidate showcase their ability to deliver customer value in their application for the Forward Deployed Engineer role?
- To showcase customer value delivery, highlight instances where you translated technical challenges into solutions that drove tangible benefits for customers at scale. Quantifiable results and specific examples are key.
- Does Notion prefer candidates with experience in startups for the Forward Deployed Engineer role?
- While experience in SaaS professional services, particularly in a startup or high-growth environment, is considered a 'Nice to Have' for the Forward Deployed Engineer role, Notion also values a strong track record of successful enterprise customer implementations regardless of the company's stage.
- What role does AI play in the Forward Deployed Engineer position at Notion?
- Curiosity and willingness to adopt AI tools to work smarter are essential for the Forward Deployed Engineer role. While not requiring expert-level AI knowledge, candidates should be open to leveraging AI for better results and potentially deploying AI agents.