Product manager for Data Operations

Cumulocity is the preferred choice for industrial equipment makers and is trusted by major brands to power smart connected products in manufacturing, green energy, fleet management, consumer electronics and more. With roots dating back to 2012, Cumulocity is now one of the leading Industrial IoT platforms in the market, connecting devices, making them intelligent with AI and providing advanced analytics capabilities.

• Own the product strategy, roadmap and business case for Data Operations, aligned with company objectives, customer needs and market opportunities.
• Define and track the metrics that matter — adoption, usage, reliability, customer satisfaction and commercial performance — and use them to steer decisions.
• Evangelize practical agentic AI use cases in Industrial IoT, internally and with customers.
• Run continuous discovery: weekly customer conversations, workshops, prototype validation, competitive analysis and structured feedback from our preview customers.
• Translate customer and market problems into clear product concepts, requirements, user stories and a prioritized backlog.
• Work daily with the Engineering leads and our Design team to shape solutions that balance customer value, technical feasibility, effort and time to market.
• Make transparent trade-offs between strategic initiatives, customer commitments, technical debt and platform work, and explain the reasoning behind them.
• Partner with Product Marketing on positioning, value propositions, launch plans and enablement material, and act as a credible technical voice in customer and partner conversations.
• Support Sales, Pre-Sales, Customer Success and Professional Services in enterprise opportunities, and bring what you learn there back into the roadmap.
• Coordinate releases across Engineering, Operations, Marketing, Sales, Customer Success, Professional Services, and Support, and follow adoption after launch to verify the outcome.
• Work as part of the Product Management team: share context and learnings, review and challenge your peers' decisions, and step in where another Product Manager needs support, so that the platform evolves as one coherent product.

• You have owned B2B software products.
• Technical products in platform, infrastructure or developer-facing areas, where the user is an engineer and the buyer is an enterprise. You should bring experience across the full product lifecycle.
• You are fluent in agentic AI in practice.
• You have built with LLMs and agents yourself. You understand tool calling, context and memory, why agents fail in long multi-step tasks, and how to evaluate reliability before putting them in front of customers. You use these tools daily in your own work.
• You work with high agency.
• You have a bias towards action and try to solve problems immediately rather than waiting for an official mandate or explicit permission.
• You experiment rather than debate.
• When the answer is unclear, you design a small, fast experiment instead of arguing from opinion, and you keep what you have measured clearly separated from what you still assume.
• You are a team player.
• You challenge your peers openly, accept challenges in return, and make the other Product Managers better. You see the team's outcome as your own.
• You explain hard things simply — to a plant engineer, to a CTO and to a room of skeptical developers.
• You work in English.
• German is useful here, but not required.
• Будет плюсом: An industrial or OT background — IoT protocols, edge computing, SCADA or complex event processing; Experience with lakehouse or streaming data stacks such as Iceberg, Parquet, Kafka, Pulsar, Spark or Flink; A track record of reducing friction in self-serve product adoption and of turning usage signals into commercial opportunities; Experience running a design-partner or co-innovation program that measurably changed a roadmap

• Opportunities for professional growth in a fast-paced, high-impact global technology organization.
• Direct collaboration with experienced technology leaders, engineers, enterprise customers and strategic partners.
• High autonomy and ownership in defining product priorities, with accountability for measurable customer and business outcomes.
• The opportunity to shape the future of a leading Industrial IoT platform and contribute directly to its commercial success.
• Exposure to cutting-edge technologies across Industrial IoT, AI, cloud computing, edge computing and advanced analytics.
• An international team and flexible remote or hybrid working.