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Notion

Builds a workspace for notes, docs, and AI agents

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listed

About the Job

Requirements

  • At least 5 years of experience in a customer-facing or forward deployed engineering role, or a similar hands-on technical role.
  • Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, and comfort writing production-quality code in customer-facing or internal engineering contexts.
  • Hands-on experience with application programming interfaces and data integration.
  • Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
  • Ability to debug and isolate root causes across code, application programming interfaces, permissions, integrations, and customer-specific configuration.
  • Ability to engage technical and business audiences effectively in written and verbal communication.
  • A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.

Responsibilities

  • Own hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end-to-end implementation.
  • Advise customers on 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 with customer engineering, IT, security, and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make architectural decisions that maximize Notion’s value within their technical ecosystem.
  • Troubleshoot implementation issues involving application programming interfaces, integrations, automation logic, data quality, permissions, authentication, system limits, and customer-specific environments.
  • Design and operate feedback loops with Product, Customer Experience, and Engineering, translating implementation challenges into actionable insights, technical requirements, and tooling improvements that influence the product roadmap.
  • Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
  • Improve methodologies, scoping artifacts, build patterns, technical documentation, and engineering best practices to help Services deliver complex technical implementations at scale.

Desired Qualifications

  • Experience working in professional services, preferably in a startup or high-growth environment.
  • Experience deploying AI agents autonomously in complex coding or business workflows.
  • Experience designing or implementing AI-powered workflows, including work with model context protocols, application programming interfaces, large language model applications, prompt engineering, retrieval-augmented generation systems, or workflow orchestration.
  • Background developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
  • Experience with extract, transform, and load or extract, load, and transform workflows; data transformation; schema mapping; validation scripts; or large-scale content migration tooling.
  • A 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.
  • A track record of successful enterprise customer implementations.

About the Company

Notion

Builds a workspace for notes, docs, and AI agents

Notion builds a workspace app where people and teams write notes and documents, plan projects, and keep company wikis, all made from the same flexible blocks. It announced an AI writing assistant built on an OpenAI model in November 2022, two weeks before ChatGPT's launch set off the generative AI boom. A page can mix text, checklists, and databases that turn into task boards or calendars, while AI agents search the workspace and connected apps like Slack and run routine tasks on a schedule. Notion is free for individuals, and teams pay per-member subscriptions plus credits to run custom agents. Notion was founded in 2013, released its app in 2016, and is based in San Francisco.

Company size
501-1,000
Company stage
Private
Total funding
$335M
Headquarters
San Francisco, CA
Founded
2013

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