Technical Product Manager - Client Intelligence & Data

Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. With a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere with a single integration.

Agnostic by design, Yuno offers connectivity to 1,000+ payment methods and 460+ integrations in 190+ countries, optimizing acceptance rates, reducing costs, and strengthening security through specialized AI agents that learn from every transaction on the network. Global brands run their payments on Yuno, including Arcos Dorados (McDonald's), NetEase Games, GoFundMe, inDrive, and Rappi. Banks, acquirers, PSPs, and wallets use Yuno to modernize their infrastructure without replacing core systems and to prepare for the next generation of commerce, including agentic payments.

Yuno is moving toward its 2030 Vision: becoming the autonomous, programmable operating system for global commerce.

We are looking for a highly technical, execution-focused Technical Product Manager (TPM) to serve as the Single Threaded Leader (STL) for Client Intelligence & Data — the domain that turns raw transaction and platform data into the reporting and insights our clients pay for. In this role, you sit at the critical intersection of deep technology and business value, defining the foundational building blocks required to scale analytics and merchant-facing reporting across Yuno's 11 domains.

You are not a backlog manager; you are a “Maker-to-Governor.” You will move between defining product strategy, shaping technical direction, and ensuring reliable operation in production. You possess a sharp product sense and own the end-to-end delivery process for client-facing intelligence within our Agentic Integration Platform. You will lead an autonomous, cross-functional domain pod to build robust, headless capabilities in a zero-tolerance environment for failure. Crucially, you will champion a “You Build It, You Run It” (YBIYRI) engineering culture, ensuring that every platform component your team delivers — from KPI computation to report generation — is bank-grade, resilient, and fully owned from code to production.

Client Intelligence & Data is responsible for the reporting and insights that clients pay for. As the STL for this domain, you will own the roadmap, architecture, and operational health of the following capabilities:

Dashboard Analytics & Reporting

Analytics, KPIs, and report generation for merchants and operators

• Own single-threaded leadership (STL): 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.

• Drive agentic strategy: 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.

• Protect the stability floor: 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.

• Provide cross-functional leadership: Lead a high-ownership pod of elite engineers, partnering with Staff Engineers and the CTO Office to eliminate silos.

• Embed a YBIYRI culture: 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.

• Prioritize with evidence: 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.