Senior Product Manager - Data Streaming
Senior Product Manager owning HiveMQ's Data Streaming portfolio — the MQTT-based Enterprise Broker at the heart of its Industrial AI Platform. The role sets strategy and roadmap for messaging/streaming infrastructure serving industrial OT/IT customers, driving adoption, revenue, and agentic-AI readiness.
- Compensation
- €120K–€154K / yr
- Location
- United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Product
- Posted
Skills
Must have
- 8–15 years total work experience, with a significant portion in product management or consulting
- Track record with established enterprise infrastructure products at a meaningful stage of maturity (real revenue, demanding enterprise customers)
- Data-driven product development using quantitative and qualitative methods
- Budget and resource management experience across teams
- Ideally located in the Eastern Time zone of the United States
- Deep familiarity with message-oriented middleware and event-driven architectures: MQTT and/or Kafka, Solace, RabbitMQ or similar (throughput, latency, ordering, QoS tradeoffs)
- OT/IT convergence experience: PLC communication, OPC-UA, Modbus, SCADA, MES via product management, systems integration, solution engineering, or hands-on industrial work
- Smart manufacturing / Industry 4.0 understanding: how manufacturers instrument facilities, manage device fleets, and move operational data from edge to cloud
- Strategic thinking: set vision, define strategy, execute across multiple product lines
- Influence without authority: drive alignment across senior stakeholders through data and narratives
- Effective executive-level communication
- Decision-making under uncertainty, including saying 'no' and adjusting course based on data
- Product instrumentation: ensuring products are measured effectively to monitor impact
- Stakeholder management across R&D, Sales, Marketing, Customer Success, Support, and executives
Nice to have
- IoT, robotics, or adjacent industrial domains (connected vehicle, energy systems, industrial IoT)
- Self-managed enterprise software experience: on-prem/edge deployment, LTS release cycles, version management, upgrade paths
- PLG track record for infrastructure or developer products: trial flows, licensing enforcement, activation metrics, conversion funnels
- Distributed systems appreciation: reliability, scalability, clustering, operational observability at scale
Full description
HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling global leaders like Audi, BMW, Eli Lilly, and Siemens to operationalize AI and drive innovation at scale.
At HiveMQ, our culture is Effortless → Empowered → Relentless. We make the complex simple, act with confidence and ownership, and never stop pushing the boundaries of what’s possible. Join us to power the future of intelligent industry.
The Opportunity
We’re seeking an exceptional Senior Product Manager to lead HiveMQ’s Data Streaming portfolio — the connectivity and transport foundation that every other layer of our Industrial AI Platform depends on. The core product is our flagship offering: HiveMQ Enterprise Broker, the high-performance MQTT server running at the core of industrial operations at companies mentioned above and more.
A critical and differentiating element of the Enterprise Broker is its extensibility system — the mechanism by which new functionality is built in the field, validated against real customer needs, and reviewed, generalized, and graduated into the core product. Managing this well requires two things in parallel: ensuring OT teams can easily build integrations with IT systems without friction, and maintaining a healthy process by which extensions are proposed, triaged, and absorbed into the roadmap rather than accumulating as one-off customizations.
The Data Streaming layer faces a genuinely interesting strategic challenge: it is HiveMQ’s primary revenue engine today, but lighter brokers and free-tier strategies from competitors are beginning to pressure pricing in some segments. The response isn’t to double down on features — it’s to make HiveMQ the default substrate for operational agents, the only choice that compounds into Intelligence and Agentic AI in ways no alternative can match. Translating that thesis into a product roadmap is as much a PM job as a strategic one.
What You’ll Do
Strategic Leadership & Vision
- Define and drive product strategy for the Data Streaming layer of our platform with a clear thesis on how and where we should invest to drive our “expert product for experts” to be easier to deploy, easier to manage, easier to configure, etc.
- Work with customers, our sales team, along with partners & alliances team to identify key integration opportunities to invest in as part of how the Data Streaming product fits within broader solutions that our customers are attempting to build
- Own the product scope and sequencing for the next-generation Core Broker — evolving toward cloud-native, multi-tenancy, and Agent Experience (AX) — while holding near-term LTS and expansion commitments in parallel