Engineering Team Lead, Management Track

**About the company:** KATIX Shibuya-ku, Tokyo KATIX makes selling your vehicle simple. Just take a photo and enter the details of it, and you'll receive offers from multiple companies for it. **Responsibilities:** People Regular 1on1s with each engineer on your team Setting and scoring goals for your team that tie to company KPIs, and contributing to evaluations Growth plans for each engineer, including developing your team’s next tech lead Onboarding new hires and interns Delivery The team’s Kanban flow: planning, daily standups, retrospectives Removing blockers and keeping work moving from input to production Delivery metrics (lead time, review delay, deploy frequency) and acting on what they show Business Translating company KPIs (listing rate, closing rate, lead time to listing, transaction volume) into your team’s goals Reporting progress upward weekly, in terms of outcomes rather than tickets Cross-department Working directly with Customer Success, Sales, Promotion, and Corporate, in Japanese, on requirements, expectations, and delivery Supporting other departments as they build with AI, so they can ship safely without a queue into engineering AI-native practice Setting and holding the team’s standards for AI-assisted development: how work is decomposed, how AI output is verified, how AI-generated code is reviewed Measuring the effect on the team’s delivery and adjusting Hiring Casual interviews, first interviews, and evaluating technical exercises for your team’s open roles Reliability Coordinating incidents that touch your team’s systems, running blameless postmortems, and seeing follow-through to completion Standards Contributing to engineering-wide standards: review culture, the team’s Code of Conduct, AI usage guidelines Hands-on Code review, architecture input, unblocking, and building features when the team needs it Requirements 5 or more years of professional web engineering, including at least one to two years as a tech lead or equivalent, leading a team of three or more engineers Full stack background in a modern web stack. You can review, unblock, and contribute in Next.js and TypeScript, and you are not put off by a Rails legacy on the bike side Japanese at JLPT N2 or higher. This is a hard requirement. You will lead team members who do not speak English, collaborate with non-engineering departments, and take part in meetings conducted in Japanese. It does not need to be perfect. It does need to work reliably above casual-conversation level. Nice to haves While not specifically required, tell us if you have any of the following. A track record of growing engineers: people you mentored who took on more, or a team whose output improved under you Led AI adoption at team level with outcomes you can describe Business fluency: you can explain how engineering work you led moved a business metric, and you are comfortable being measured that way Comfortable running 1on1s, giving direct and kind feedback, and facilitating a team’s working rhythm Prior people-management responsibility, including hiring or evaluations Incident management and postmortem experience Kanban or flow-metrics experience Observability and SLO work (Sentry, New Relic) Marketplace, e-commerce, auction, or escrow-adjacent product experience Experience helping non-engineers build or automate with AI Compensation ¥7,000,000 ~ ¥9,000,000 annually. **Requirements:** 5 or more years of professional web engineering, including at least one to two years as a tech lead or equivalent, leading a team of three or more engineers Full stack background in a modern web stack. You can review, unblock, and contribute in Next.js and TypeScript, and you are not put off by a Rails legacy on the bike side Japanese at JLPT N2 or higher. This is a hard requirement. You will lead team members who do not speak English, collaborate with non-engineering departments, and take part in meetings conducted in Japanese. It does not need to be perfect. It does need to work reliably above casual-conversation level. **Nice to have:** While not specifically required, tell us if you have any of the following. A track record of growing engineers: people you mentored who took on more, or a team whose output improved under you Led AI adoption at team level with outcomes you can describe Business fluency: you can explain how engineering work you led moved a business metric, and you are comfortable being measured that way Comfortable running 1on1s, giving direct and kind feedback, and facilitating a team’s working rhythm Prior people-management responsibility, including hiring or evaluations Incident management and postmortem experience Kanban or flow-metrics experience Observability and SLO work (Sentry, New Relic) Marketplace, e-commerce, auction, or escrow-adjacent product experience Experience helping non-engineers build or automate with AI **Compensation:** ¥7,000,000 ~ ¥9,000,000 annually.