Senior Product Manager - Data Streaming

The role

The Senior Product Manager will lead the Data Streaming portfolio and the HiveMQ Enterprise Broker. You will define product strategy, manage the product roadmap, and drive business outcomes like revenue and customer satisfaction.

What you will do

• Define and drive product strategy for the Data Streaming layer
• Work with customers, sales, and partners to identify integration opportunities
• Own product scope and sequencing for the next-generation Core Broker
• Champion Agent Experience (AX) as a design target
• Drive measurable business outcomes across adoption, usage, revenue, and customer satisfaction
• Work with product data analysts to instrument products and measure impact
• Partner with engineering leadership to ensure technical feasibility and delivery
• Collaborate with GTM organizations including Sales, Customer Success, and Product Marketing
• Manage strategic customer relationships and handle escalations
• Develop and present roadmaps to senior leadership

Required qualifications

• 8–15 years total work experience, with significant portion in product management or consulting
• Track record with established enterprise infrastructure products
• Demonstrated success using quantitative and qualitative methods for product decisions
• Experience allocating resources across teams and managing to budget
• Ideally located in the Eastern Time zone of the United States
• Deep familiarity with MQTT and/or platforms like Kafka, Solace, RabbitMQ, or similar distributed messaging and streaming technologies
• Meaningful experience with operational technology environments such as PLC communication, OPC-UA, Modbus, SCADA, or MES

Nice to have

• Direct experience with Tier 1 industrial companies in automotive, pharma, energy, or discrete manufacturing
• IoT, robotics, or adjacent industrial domains
• Self-managed enterprise software experience
• PLG for infrastructure or developer products
• Distributed systems

About the company

HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. The company uses the MQTT standard and a distributed edge-to-cloud architecture to connect and govern industrial data.