Forward Deployed Engineer

Forward Deployed Engineer, GTM - Japan

Notion

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, 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. 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. This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.   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 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. * Fluency in at least one programming language such as TypeScript/Node.js, Python, JavaScript, or Java, and comfort shipping scripts, tools, and integrations rather than only advising. * Practical experience building with APIs and data integrations (auth, pagination, transforms, error handling, idempotency), plus fluency with formats like JSON and YAML and query languages like SQL. * Strong technical judgment and operating discipline: you design for permissions, governance, observability, and safe action execution. * High agency and learning velocity: you move comfortably between paid delivery and investment work, build leverage through reusable patterns, and use AI tools to raise the quality of your thinking and craft. * You are a native-level Japanese speaker with business-level English proficiency (including spoken English)   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. 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 A NOTE ON AI 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. EQUAL OPPORTUNITY & ACCOMMODATIONS 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.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Req: CSQ427R173 Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: * Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems * Own production rollouts of consumer and internally facing GenAI applications * Serve as a trusted technical advisor to customers across a variety of domains * Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally * Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: * Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy * Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  * Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through AI * [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets * Willing to travel once every 4-8 weeks to see customers (as needed) * Language Proficiency: Native-level fluency in Japanese and professional working proficiency in English (both written and verbal).  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.

Sr. Forward Deployed Engineer

Databricks

Req ID: CSQ327R52 Location: Tokyo, Japan 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: * 6+ years 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 * Fluent in Japanese with a professional working proficiency in English 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.