Senior Product Owner - Internal Operating System & AI (f/m/d)

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About the role

Tangany, based in Munich, is a highly innovative technology company with a market-leading B2B solution for the custody of digital assets on the blockchain (e.g. cryptocurrencies & tokenized assets). Our solution is already used by more than 40 institutional customers. Tangany is regulated by the German federal financial supervisory authority, BaFin. Using our modern API, we enable our customers to easily and securely integrate blockchain functionalities into their systems. This white-label solution reduces development costs and time, enabling fast market access and ease of use for end users. Regulatory requirements can be covered for appropriate assets via Tangany's crypto custody license if required. For our continued growth, we are looking for a Senior Product Owner - Internal Operating System & AI (f/m/d) to join our team. Your role Our engineering works in three product teams. Two of them build for our partners: one the portals, the other the API and our custody core. The third works inward, and you will own its product. Its mandate is to run Tangany's operations as efficiently as possible. Business and product operations processes such as transaction operations, billing, forecasting and KPI reporting get digitised, automated, or handed to AI agents where that is the better solution. Much of this runs today on a self-hosted Retool platform. Whether we keep extending it or replace it with an AI-native solution on top of the APIs our other teams provide is one of the first calls you will shape. The team works process-first. You map each process end-to-end with the people who run it, redesign it, and only then decide how it gets automated. The team's tech lead owns the engineering, and you own what gets built, in which order and why. Beyond your team, you are responsible for AI at Tangany: governance, enablement and tooling for the whole company. Who we are looking for You are a senior Product Owner who has shipped AI in a business setting yourself, whether LLM-based tools, agentic workflows or AI-assisted development, and you can explain what worked and what did not. You run discovery before anyone asks for it: you bring problems onto the roadmap that nobody requested, write your assumptions down before the build so they can be checked afterwards, and your specs catch the interaction that would break a neighbouring system before engineering finds it. When departments pull in different directions, you hold the priority and say no with a reason the requester accepts. You want to be measured by outcomes such as fewer manual steps, fewer iterations and lower cost per process. Tasks • Own vision, roadmap and backlog of Tangany's Internal Operating System, the internal tooling every department works with, starting with the Retool-based operations portal. • Map business and product operations processes end to end with Compliance, Operations, Finance and the other departments that run them and redesign them before anything gets automated. • Decide per process whether it becomes an application built with AI-assisted development, an agentic flow, or a tool we buy. Back each decision with cost and benefit, then measure what the process costs before and after and report the result. • Write specifications that engineering can build from without a rework round, including edge cases, what is out of scope, and the regulatory requirement behind each rule. Agree on the interfaces your processes need with the portal and API teams. • Shape Tangany's AI strategy and own AI governance: usage policies, rules for which data may be processed by which AI system, and the approval of AI tools and vendors, in line with our obligations as a BaFin-regulated institution. • Drive AI enablement and own the AI tooling for all employees. You train tea

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