We are seeking a Productivity Engineer to design, build, and operate internal systems and automation that improve productivity across the organization. The Productivity Engineer (PE) discipline is responsible for replacing internal silos, manual work, and tribal knowledge with scalable, maintainable, AI-native systems. As a Productivity Engineer at this level, you will develop your engineering foundation by delivering tangible improvements to internal tools, automation, and platform operations under the guidance of senior team members, while taking ownership of the systems you contribute to.
Responsibilities
Pillar ① Internal Systems & Tooling
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Implement internal tools, scripts, admin console extensions, and small-scale operational systems under the guidance and code review of senior team members
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Maintain and incrementally improve assigned systems, ensuring reliability and operational quality
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Proactively surface improvement opportunities discovered through hands-on work
Pillar ② Workflow Automation & AI Integration
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Build automation scripts and small-scale pipelines under guidance
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Learn and apply patterns for embedding AI/LLM APIs, agents, and skills into operational workflows
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Identify candidate processes for automation and propose simple solutions
Pillar ③ Platform Infrastructure
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Carry out configuration, operation, and incremental improvement of existing internal platforms (e.g., documentation systems, ticketing tools, knowledge bases)
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Create templates, guides, and small integration tasks reliably
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Support migration and integration projects led by senior team members
Pillar ④ Cross-Functional Operational Improvement
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Communicate effectively with stakeholders in your assigned projects: gather requirements, confirm understanding, and share progress
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Identify operational pain points within your scope and propose improvements
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Complete small-to-medium improvement tasks end-to-end with senior guidance on direction and trade-offs
Requirements
- Hands-on implementation skills to build automation and tooling by combining scripts and APIs (Python, Node.js, TypeScript, etc.)
- Experience driving research, validation, and implementation independently while leveraging AI tools
- Business-level proficiency in both Japanese and English
- 0–3 years of relevant experience
Nice to haves
While not specifically required, tell us if you have any of the following.
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Experience with CRM or ticketing SaaS platforms (Salesforce, HubSpot, Zendesk, etc.)
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Experience with workflow automation tools (Zapier, Workato, GitHub Actions, etc.)
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Experience working in a B2B SaaS environment
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Experience with documentation platforms (Confluence, Redocly, etc.)
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Experience deploying and operating LLM-based agents or skills in production
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Familiarity with IT governance, security, and compliance
