Staff/Principal Product Manager, Agent Management Platform
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Looking for an AI product manager job in Berlin? Choose from 20 open roles at 10 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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As of 23 September, 14 AI product manager roles are open in Berlin at 9 employers. Of the roles that say how they work, 29% are remote or hybrid.
AI product manager roles make up a notable share of what is listed on the board for Berlin. The openings skew towards experienced candidates: mid-level and lead positions each account for about a third of roles where seniority is stated, with senior roles making up most of the remainder, so entry-level postings are rare. A good portion of the listings are at least a month old, suggesting some roles have been open for a while, while a smaller share arrived in the past two or three weeks. Hiring is concentrated: most roles listed here sit with a handful of employers. Agents are the most frequently mentioned skill area, appearing in well under half of descriptions, followed at some distance by SQL and cloud platforms. There is not enough weekly history yet to describe any direction over time.
Figures are measured every Monday.
An AI product manager shapes the strategy, roadmap and delivery of products that use machine learning or generative AI. Day to day this means translating business problems into technical requirements, working with engineers, data scientists and designers, setting priorities and tracking outcomes. In a city like Berlin, where research institutions such as BIFOLD at TU Berlin sit alongside venture-backed fintechs like N26, established e-commerce companies like Zalando, and public-sector digital units like DigitalService, the role can appear in quite different contexts — from consumer-facing features to regulated financial products to government services. The Berlin University Alliance also creates a steady pipeline of AI research that product teams may need to engage with or commercialise.
Descriptions on the board point heavily towards AI agents and agentic systems as the core technical area a candidate should be familiar with. Cloud platforms — AWS, GCP and Azure — appear in a minority of listings, as do SQL and APIs, suggesting that comfort working with technical infrastructure and data is valued alongside product thinking. A smaller share of descriptions mention evaluation methods, CI/CD practices and reinforcement learning, indicating that some roles expect deeper familiarity with the full ML development lifecycle.
Among the roles on the board that state a work mode, on-site working accounts for a large majority, with hybrid arrangements making up most of the rest. No roles listed here are fully remote. Candidates should expect that Berlin presence will be required, at minimum for most of the working week, and in many cases full-time on site.
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