jinjer HR Tech Bet: PayPay Employee #9 on AI-Integrated People Data

Mikuriya Hiroaki, former PayPay employee #9 turned AI entrepreneur, explains why he joined jinjer and why its 10-year single-database architecture is a defensible AI-era moat.

• jinjer has 18,000 corporate clients on a single unified HR database covering attendance, payroll, evaluation, and compensation — built this way from founding in 2016.
• Mikuriya says the clean, consolidated data was a literal goosebumps moment: consolidating live HR data into one schema post-launch is near-impossible, making jinjer’s architecture a hard-to-copy asset.
• jinjer’s HR data analytics feature cuts employee attrition analysis from multi-hour spreadsheet work to 15–30 minutes including AI-generated action recommendations.
• The product flags resignation risk proactively — cross-referencing attendance, evaluation, and survey data — and recommends specific manager interventions before employees decide to quit.
• jinjer runs a “Customer Zero” program: all 500 employees dog-food unreleased HR features internally, including HR staff testing attendance hardware before customer rollout.
• CEO declared company-wide: “not doing AI is not an option — it’s do or do more” — non-engineers at jinjer are now using Claude Code.
• HR SaaS market is growing at roughly 20% annually; jinjer recently brought talent management system Talentio into the group.
• Mikuriya compares jinjer’s current energy to early PayPal-era PayPay — pre-scale but high-velocity, with over half the 500-person team in their 20s.

2026-04-26 · Watch on YouTube