Field Engineering - Japan
Cursor3 weeks ago
Location
Japan
Workplace
Remote
Type
Full Time
Salary
USD 85,000 – 135,000
Level
Mid
Role
Field Engineer
Posted
Jun 11, 2026
Full TimeRemoteMid
The role
Summary
Cursor is seeking a Field Engineer for Japan to be the technical frontline of their AI-powered coding platform, working directly with enterprise customers to drive adoption of their developer productivity tool. This role combines deep technical expertise with customer-facing excellence, requiring someone who can bridge the gap between technical engineering teams and business stakeholders. You'll lead proof-of-concept engagements, deliver technical workshops, and serve as a product advocate while helping shape Cursor's enterprise roadmap.
What you'll do
Technical Discovery and Proof-of-Concept Leadership: Partner with Account Executives to conduct technical discovery sessions, design proof-of-concept engagements, and validate customer use cases. Lead hands-on demos of Cursor's AI capabilities, demonstrating how the platform accelerates development workflows and integrates with existing engineering toolchains.
Customer Relationship Management and Advisory: Build and maintain strategic relationships with engineering leaders, architects, developers, and CTOs. Serve as a trusted technical advisor, translating between customer business objectives and technical implementation strategies while establishing credibility as a subject matter expert in AI-assisted coding.
Solution Design and Implementation Guidance: Translate customer requirements into comprehensive solution architectures, guiding organizations on best practices for platform rollout, prompt engineering strategy, code context configuration, and enterprise adoption frameworks.
Technical Presentations and Knowledge Transfer: Develop and deliver customized technical presentations, interactive whiteboard sessions, architectural deep-dives, and hands-on workshops. Create tailored content that resonates with both technical and executive audiences across different organizational structures.
Cross-Functional Collaboration and Product Advocacy: Act as the voice of the customer internally, collaborating with Sales, Product, and Engineering teams to influence roadmap priorities, escalate critical feature requests, and ensure customer feedback drives product decisions. Participate in strategic account planning to identify expansion opportunities.
Customer Onboarding and Success Handoff: Ensure smooth transitions to post-sales customer success teams by documenting technical decisions, creating implementation runbooks, and maintaining continuity throughout the customer lifecycle. Support ongoing technical validation and expansion initiatives.
Competitive Analysis and Product Positioning: Maintain deep knowledge of Cursor's capabilities, competitive landscape analysis, and industry trends in AI-assisted development. Develop persuasive positioning strategies that clearly communicate unique value propositions and differentiation versus competing solutions.
What we look for
Technical
Software Development Lifecycle ExpertiseDeep understanding of modern software development workflows, version control systems (Git), CI/CD pipelines, testing frameworks, and deployment strategies. Familiarity with how development teams integrate tools into their existing toolchains.
Hands-On Coding AbilityPractical experience writing code in modern programming languages (Python, JavaScript, TypeScript, Go, Java, or similar). While not requiring full-time engineering expertise, you must be fluent enough to understand code, debug issues, and work alongside developers.
AI and Machine Learning FundamentalsWorking knowledge of LLM capabilities, prompt engineering, AI model limitations, and how to evaluate AI tooling effectiveness. Understanding of how large language models can accelerate software development workflows.
Enterprise Software ArchitectureFamiliarity with enterprise architecture patterns, scalability considerations, security and compliance requirements, and integration strategies for large organizations. Knowledge of how technical decisions impact broader organizational objectives.
Technical Debugging and TroubleshootingAbility to diagnose complex technical issues, navigate IDE configurations, API integrations, and environment setup challenges. Comfort with terminal/command-line interfaces and understanding of development environment nuances.
Education
Bachelor's Degree in Computer Science or Related FieldFormal education in Computer Science, Software Engineering, Information Technology, or equivalent practical experience demonstrating strong technical foundations.
Product and Business AcumenUnderstanding of B2B SaaS business models, enterprise software licensing, customer success metrics, and how technical solutions drive business value.
Experience
Field Engineering or Solutions Architecture Experience3-5 years of experience in Field Engineering, Solutions Architecture, or Solutions Consulting roles at enterprise software companies. Track record of successfully leading technical engagements with large organizations.
Developer Tools and Productivity Software ExperiencePrior experience selling, implementing, or supporting developer productivity tools, IDEs, code quality platforms, or AI-assisted development solutions. Understanding of developer personas and their decision-making processes.
Enterprise Customer ManagementDemonstrated success managing complex enterprise relationships, navigating organizational hierarchies, and driving adoption across technical and business stakeholders.
Startup Environment ExperienceExperience in fast-paced startup environments where resourcefulness, adaptability, and proactive problem-solving are essential. Comfort with ambiguity and ability to wear multiple hats.
Skills
Required skills
Technical CommunicationAbility to articulate complex technical concepts clearly to diverse audiences ranging from individual developers to C-level executives. Strong presentation skills with capability to adapt messaging based on audience technical depth.
Solution Design and ArchitectureCompetency in designing customer solutions that align technical capabilities with business requirements. Experience scoping projects, identifying technical risks, and proposing implementation strategies.
Enterprise Sales EnablementUnderstanding of enterprise B2B sales cycles, procurement processes, and how to position technical solutions to drive deal advancement. Ability to navigate stakeholder consensus building.
Customer Relationship ManagementStrong interpersonal skills with ability to build trust and credibility quickly. Comfort establishing executive relationships while maintaining technical depth with engineering teams.
Modern Development Tools ProficiencyHands-on experience with contemporary IDEs (VS Code, JetBrains suite, etc.), Git workflows, debugging tools, terminal interfaces, and development environment configuration.
Product Knowledge and Competitive AnalysisAbility to develop comprehensive product knowledge quickly and maintain awareness of competitive landscape. Skill in articulating differentiation and unique value propositions.
Nice to have
AI and LLM Product ExperiencePrior exposure to AI-powered tools, large language model applications, or generative AI products. Experience helping customers understand and leverage AI capabilities effectively.
Full-Stack Development ExperienceBackground working across frontend and backend development stacks, enabling deeper understanding of diverse engineering workflows and tool integration challenges.
Technical Writing and DocumentationExperience creating technical documentation, runbooks, implementation guides, or best practice frameworks. Ability to translate complex technical decisions into reference materials.
Enterprise Security and Compliance KnowledgeFamiliarity with enterprise security requirements (SOC 2, HIPAA, GDPR, etc.), data residency considerations, and how organizations evaluate tool security postures.
DevOps and Infrastructure UnderstandingWorking knowledge of infrastructure-as-code, container orchestration (Kubernetes), monitoring and observability tools, and how development tools integrate with deployment pipelines.
Japanese Language ProficiencyFluency in Japanese language (spoken and written) to effectively communicate with Japanese enterprise customers and understand local market dynamics and cultural nuances.
Compensation & benefits
Salary
USD 85,000 – 135,000 (annual)
Stock options
Available
Benefits
Competitive Equity Package
Meaningful stock options reflecting your role in Cursor's growth trajectory. Participate directly in the success of a well-funded, fast-growing AI platform company backed by top-tier venture capital.
Health and Wellness Benefits
Comprehensive medical, dental, and vision insurance coverage. Access to wellness programs, mental health support, and fitness benefits to support your wellbeing.
Flexible Work Arrangements
Balance between customer-facing engagement and remote flexibility. Support for working across time zones given Japan-based position with potential for distributed team collaboration.
Professional Development and Learning
Budget for conferences, training programs, and technical certifications. Opportunities to develop expertise in AI-assisted development, enterprise architecture, and advanced sales methodologies.
Generous Time Off Policy
Competitive paid time off, parental leave, and sabbatical opportunities. Respect for work-life balance in a results-oriented culture.
Fast-Paced Learning Environment
Opportunity to work at the forefront of AI-assisted development technology. Direct exposure to cutting-edge LLM capabilities and influence over product direction through customer feedback.
Collaborative Team Culture
Work alongside brilliant engineers, designers, and product leaders in a flat organizational structure. Participate in spirited technical debates and creative problem-solving sessions.
Interview process
- 1Initial Screening Call — 30-minute conversation with a recruiting coordinator focused on background, motivation for the Field Engineer role, and initial assessment of communication skills and technical depth. This conversation confirms basic qualifications and explores your interest in Cursor's mission.
- 2Technical Discussion with Field Engineer or Solutions Architect — 45-60 minute conversation with a current Field Engineer or Solutions Architect on the team. Discussion covers your technical background, experience with developer tools, past customer-facing successes, and how you approach complex technical problems. Expect questions about specific technical scenarios and your approach to customer challenges.
- 3Sales and Business Acumen Assessment — 45-minute conversation with a Sales or Business Operations leader. Focus on understanding enterprise B2B sales dynamics, how you navigate customer stakeholder alignment, your approach to driving adoption, and ability to communicate business value of technical solutions.
- 4Product Leadership Conversation — 45-minute discussion with a Product Manager or Engineering lead. Deep dive into how you understand customer problems, translate requirements into product feedback, and think about balancing customer needs with product strategy. Discussion of specific examples where your input influenced product decisions.
- 5Leadership and Culture Fit Discussion — 45-minute conversation with a co-founder, executive, or senior team member. Discussion of your alignment with Cursor's mission around AI-assisted coding, your approach to thriving in fast-paced environments, values around truth-seeking and creativity, and long-term career vision.
- 6Practical Case Study or Demo Scenario — Optional component where you may be asked to present a technical concept, lead a mock customer discovery, or demonstrate how you would position Cursor to a specific customer profile. This assesses real-world problem-solving and communication under pressure.
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Built to make you extraordinarily productive, Cursor is the best way to build software with AI.
San Francisco, California, United StatesFounded 2021cursor.com
Tech Stack
Languages
PythonJavaScript/TypeScriptGoJava
Frameworks
ReactNode.jsSpring BootFastAPI
Databases
PostgreSQLMongoDBRedis
Tools
Git/GitHub/GitLabDockerVS Code and JetBrains IDEsCI/CD Platforms (GitHub Actions, GitLab CI, Jenkins)
Other
LLM APIs and AI Tooling (OpenAI, Anthropic, etc.)RESTful APIs and API DesignCloud Platforms (AWS, Azure, GCP)Observability and Monitoring (DataDog, New Relic, Prometheus)