VP of Product Management

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.

As VP of Product Management
, you will own the execution, performance, and long‑term success of HiveMQ’s product portfolio across data streaming, data intelligence, and agentic Acting as the Chief Product Officer’s right hand, you will define HiveMQ’s product development philosophy and design and run an AI‑first product development operating model at scale, aligning Product, Design, and Engineering into one cohesive system that delivers tangible customer and revenue impact.

You bring a senior product leadership profile and a player–coach mindset, able to be hands‑on in the early stages while building the leaders and systems that drive outcomes through organizational scale and leverage.

This role requires a proven track record of taking products from 0-to-1 successfully - you've done before in the data and analytics domain, and the products you've launched have demonstrably succeeded in the market.

The ideal candidate for this job should have most of the following:

• Extensive product leadership experience – typically 15+ years of total work experience, with a significant portion in product management, and 7+ years leading managers and distributed teams across geographies and time zones.
• Proven business ownership for a major product line or business unit, including setting multi‑year product strategy, driving growth and retention, and owning key revenue and efficiency KPIs (you are comfortable “owning the number” from the product side).
• Demonstrated 0-to-1 product success, including taking at least one (ideally two) products from concept to market success in the data and analytics domain.
• Strong ability to design and run a scalable product operating model, aligning Product, Design, and Engineering, and establishing AI‑first, evidence‑based decision making as the default way of working.
• Strong financial and portfolio acumen: you treat headcount, budget, and engineering capacity as capital to deploy; you are skilled at making clear tradeoffs on where to invest, where to accelerate, and where to stop.
• Track record of building and leading high‑performing leadership teams (Directors and Senior Directors), including hiring, coaching, and evolving the product management organization to match changing strategic priorities.
• You’re an experienced product leader who has already run a major product line or business and has the presence and drive to lead an entire function, not just a single product.
• A true player–coach mentality: you are comfortable being hands‑on, initially leading a small Product team, and doing the work yourself rather than only managing through layers of people.
• Strong domain alignment with data intelligence / analytics products similar to HiveMQ Pulse – you have helped customers turn streaming or industrial data into governed, contextualized, AI‑ready intelligence.
• High cross‑regional collaboration comfort, able to work effectively across US and EU time zones with engineering, design, and GTM stakeholders.
• A proven ability to create strong alignment between Product, Design, and Engineering, embedding modern, AI‑first product practices that connect clear strategy with disciplined execution through leaders and teams.

• Deep domain experience in industrial software, IoT/IIoT, data platforms, analytics, or AI/ML products, ideally in enterprise or mission‑critical contexts.
• Prior experience operating at VP/CPO level in a high‑growth B2B software or SaaS company, with direct responsibility for P&L, pricing and packaging, and tight GTM alignment.
• A strong track…