Technical product manager in gaming

At Miniclip, we're building products that power the analytics, monetisation and compliance of our growing portfolio of games. Our solutions are used by the various studios, development, and analytics teams to shape game development decisions and grow revenue. You'll steer one or more of these products: that means getting to know what various users and stakeholders need, setting a clear direction, and working with our data, server, web and SDK engineers to make it happen.

• Own the vision, goals and roadmap for your product area, and shape where we're heading as a team.
• Use AI tools to build prototypes, utilities and automations that speed up discovery (testing ideas with users, synthesising research, exploring data) and implementation (drafting specs, validating requirements, checking outputs).
• Spend time with your users (studios, development teams, analytics teams and other stakeholders) to understand their problems before jumping to solutions.
• Turn what you learn into clear requirements with engineering, including API contracts, data requirements, integration flows and acceptance criteria.
• Work through feasibility and trade-offs with engineers, and make prioritisation calls you can explain to the people who depend on you.
• Decide what success looks like for your products, such as adoption, reliability, data quality and time saved for game teams, and let it guide your decisions.
• Plan releases, see how they land, and feed what you learn back into the roadmap.
• Keep documentation and communication clear, so users will know what's available, what's coming and how to use it.
• Keep an eye on industry tools, standards and regulatory changes in analytics, monetisation and compliance, and bring us ideas.

• 4 or more years of professional experience, including at least 1-2 years in product management, technical product or project roles, or a closely related technical role.
• Comfort with technical concepts such as APIs, data pipelines, databases and system integrations. You don't need to write production code, but you can hold a detailed conversation with engineers.
• Hands-on use of AI tools in your own work, for example building a prototype, a utility or an automated workflow with tools like Claude, Cursor, or similar.
• The ability to take a request and turn it into a well-defined problem and a set of priorities.
• Clear writing, especially in requirements and documentation.
• A degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
• Будет плюсом: Experience in gaming, ad tech, or data and analytics platforms; Familiarity with SQL and cloud data warehouses; Exposure to privacy and compliance requirements such as GDPR and consent management; Examples of things you've built with AI tools, even small ones; Agile, Scrum or product management training

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