Act as the ultimate driver for Client Intelligence & Data, translating high-level business goals into precise, versioned APIs and event-driven architectures spanning dashboard analytics and reporting.
Define the “what” and “why” for platform features that move client onboarding toward low-to-no coding effort, owning the transition from manually assembled reports to an autonomous, AI-driven insights engine for merchants and operators.
Enforce a “Stop the Line” mentality for quality, maintaining a Stability Floor of high automated quality assurance across KPI computation and report generation, ensuring feature velocity never compromises bank-grade reliability and data accuracy.
Lead a high-ownership pod of elite engineers, partnering with Staff Engineers and the CTO Office to eliminate silos.
Evangelize and operationalize the YBIYRI mindset, ensuring your team designs for multi-tenancy, elastic scaling, and automated observability across analytics pipelines, owning their microservices in production via a “follow-the-sun” model.
Use the RICE framework to turn ambiguous requirements — such as new merchant-facing KPIs or operator reporting needs — into a structured, executable roadmap that balances architectural integrity against market opportunism.

Deep technical foundation: Strong understanding of cloud-native architectures, distributed systems, APIs, event-driven platforms, and modern software engineering practices (Cloud-native/Serverless, Kotlin/Go, gRPC/REST), with the ability to lead architectural discussions on “paved road” infrastructure as it applies to analytics and reporting systems.
Platform-as-a-Product experience: Proven experience building foundational platform capabilities or complex distributed systems, ideally involving analytics pipelines, BI tooling, or merchant-facing dashboards.
Execution mastery: Track record of driving delivery velocity, unblocking engineering teams, managing dependencies across 11 domains, and optimizing DORA metrics.
The “Maker” mindset: Preference for clean, modular architecture over monolithic shortcuts.
Commercial sharpness: Ability to articulate technical trade-offs (e.g., tech debt vs. feature velocity) to executive stakeholders and translate growth goals into technical requirements.

Domain familiarity: Working knowledge of data pipelines, KPI/metrics design, dashboarding tools, and merchant or operator reporting needs.

Competitive Compensation
Remote Work – You can work from everywhere!
Home Office Bonus – A one-time allowance to help you create your ideal home office.
Work Equipment
Stock Options
Health Plan wherever you are.
Flexible Days Off

Remote (Worldwide) — Europe

Yuno is hiring a Technical Product Manager - Client Intelligence & Data