Director of Product Management - Data Intelligence

HiveMQ

About The Position

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.

Requirements

8-15 years total work experience, with significant portion in product management or consulting
4+ years of people management experience, including leading distributed teams across geographies and time zones
Proven 0-to-1 success: At least two successful new product launches from conception to market success in the data and analytics domain
Data-driven product development: demonstrated success using quantitative and qualitative methods to drive product decisions
Budget and resource management: experience allocating resources across teams and managing to budget
Data intelligence and contextualization: understanding of how to add semantic meaning, business context, and governance to streaming data
Data modeling for decision-making: experience building products that enable customers to model data in ways that drive automated decisions and actions
Real-time analytics and insights: proven track record with streaming analytics, complex event processing, or real-time intelligence platforms
AI/ML integration: familiarity with how data preparation, feature engineering, and data quality impact AI model effectiveness and AI-driven automation
Data governance and compliance: understanding of data lineage, quality, privacy, and regulatory requirements (GDPR, industry-specific mandates)
Data streaming and movement technologies: hands-on experience with Kafka, TIBCO, MQTT, or similar distributed streaming platforms
ETL and data integration: familiarity with tools like Talend, GoldenGate, Informatica, or similar data transformation technologies
Distributed systems: deep appreciation for reliability, scalability, and performance at scale
IoT and edge computing: understanding of operational technology (OT) and information technology (IT) convergence
Strategic thinking: ability to set vision, define strategy, and execute across multiple product lines
Influence without authority: proven ability to drive alignment across senior stakeholders through data and compelling narratives
Effective communication: creates clear executive-level communications; teams and stakeholders understand priorities and how work connects to company mission
Decision-making under uncertainty: comfortable making and defending tough calls, saying "no" thoughtfully, and adjusting course based on data
Empathetic leadership: delivers challenging feedback and news with honesty, empathy, and understanding
Cultural steward: demonstrates and champions product management best practices and company values
Product instrumentation: ensures products are measured effectively to monitor impact and progress toward goals
Outcome-focused mindset: cares about achieving business goals, not just shipping features
Risk identification: thinks ahead to identify risks and mitigation strategies
Process design: identifies inefficiencies and proposes scalable solutions as business grows
Stakeholder management: builds and maintains relationships across R&D, Sales, Marketing, Customer Success, Support, and executive teams

Responsibilities

Define and drive product strategy for the Data Intelligence portfolio, focusing on context/governance, data modeling for decision-making, real-time insights, and AI-driven actions
Lead 0-to-1 product initiatives from conception through market success, leveraging your proven experience launching new data intelligence and analytics products
Bridge the gap between raw data streams and intelligent action—envision how customers will model, contextualize, and govern their data to unlock business value
Champion AI enablement: drive product capabilities that make IoT data AI-ready for predictive analytics, automated decision-making, and intelligent actions
Establish clear, inspiring vision for your teams derived from company strategy, helping prioritize and reprioritize for organizational success
Think cross-functionally and ahead: understand how data intelligence connects to GTM, our revenue model, and anticipate the evolution of data governance, context management, and AI-driven automation
Drive measurable business outcomes across adoption, usage, revenue, and customer satisfaction metrics for your product portfolio
Own the data story: work with product data analysts to instrument products effectively, measure impact, and report progress toward business objectives
Communicate value effectively through data-backed storytelling to executives, customers, and cross-functional stakeholders
Identify and address organizational bottlenecks, proposing process improvements as business scale demands
Make hard calls: determine when products or features should be terminated if they don't deliver desired outcomes
Partner deeply with R&D leadership (Team Leads, Directors) to ensure technical feasibility and delivery excellence
Collaborate with GTM organizations including Sales, Customer Success/Support, Alliances, and Product Marketing at director and VP levels
Manage strategic customer relationships and handle escalations with appropriate oversight
Build consensus across departments on complex, cross-functional initiatives
Develop & present roadmaps and proposals to senior leadership, occasionally engaging with C-suite executives
Maintain intimate customer knowledge through ongoing strategic customer relationships
Advocate for customer needs by framing capabilities in terms of customer outcomes and business priorities
Validate product-market fit through continuous discovery and customer feedback loops
Drive customer intimacy beyond strategic accounts to understand broader market needs