Actively hiring
Industrial IoT (IIoT)
IoT Platforms & Solutions
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$10M
1 round on record
Latest round
$10M
Seed · May 2021 · 5 yr ago
Team
11-50
employees, estimated range
Hiring now
3
open roles
Backers
5
Earlybird, Bayern Kapital
The money's age
Long since its last round
65 months since the last round · hiring slowed
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 5, 2021
Raised a round Seed $10M
May 2013
Website went live first capture in the Wayback Machine
Tractionpublic signals, read monthly
Web presence
top 0.02%
of 133.2M domains by links, Common Crawl
Hacker News stories
18
best: 7 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Seed | May 2021 | $10M | — | streetinsider.com |
Backed byfrom the funds' portfolios and accelerator catalogs
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How Hivemq hires
Truth index
A 95/100
Median time to fill
83 days
Ghost roles
0%
Stale roles
0%
Reposted roles
0%
Hivemq scores A on the Alion truth index (A is best, E worst), measured over 3 open roles re-checked against its own hiring board: 0% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 83 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
MongoDB data modeling for IIoT with HiveMQ: patterns for manufacturing
Learn MongoDB data modeling patterns for manufacturing IIoT data: embed asset and process context at ingestion with HiveMQ and index for real queries.
Read more
Report
Governance: Why your UNS won't fail at the first site but will at the second
UNS governance decides whether a unified namespace scales past the first site or breaks at the second. See what active governance requires in energy operations.
Read more
Report
Five questions to ask before choosing an industrial data platform
Five questions that show what it takes to turn a reliable data streaming foundation into real-time insight and governed action.
Read more
Report
Foundational UNS patterns for agent-ready manufacturing
Learn the four Unified Namespace (UNS) design patterns that determine whether your manufacturing architecture is ready for AI agents or requires costly rework.
Read more
Report
De-mystifying MQTT vs. OPC UA: What the comparisons get wrong
Common MQTT vs OPC UA comparisons misrepresent deterministic feedback loops and topic design. Here's what the technical record shows.
Read more
Report
Turn real-time manufacturing plant data into operational intelligence with the new HiveMQ Platform
HiveMQ's new platform helps manufacturers reduce downtime, improve efficiency and replicate proven operational improvements by getting the data foundation right.
Read more
Report
HiveMQ Launches Platform to Turn Real-Time Manufacturing Plant Data into Operational Intelligence
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Report
140 billion data points a day, zero lost: why MQTT is the energy data backbone
MQTT moves 140 billion energy data points a day with zero loss. See why event-driven transport, not polling or batch, is what real-time energy operations need.
Read more
Report
From machine data to action: How HiveMQ Platform works
HiveMQ Platform turns fragmented plant data into real-time, trustworthy intelligence, so you catch problems while the line is still running and get your AI pilots into production.
Read more
Report
A new chapter for the HiveMQ broker: What the HiveMQ 4.55 LTS means for your business
Discover what HiveMQ 4.55 LTS brings to your business, with long-term support, stronger security, simpler operations, and a platform built to scale.
Read more
Report
Show more news
Tech stack
Technologies named in job postings at Hivemq over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
6
Stack modernity
79/100AI adopter
Languages
Node JS
TypeScript
JavaScript
Frameworks & libraries
Fastify
React.js
Databases
DynamoDB
Cloud & platforms
Apache Kafka
AWS
AWS Lambda
Kubernetes
AI & ML
LLM
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Full Hivemq tech stack
23 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$161k
Typical range
$150k – $172k
Open positions
2
2
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 2 | $161k | $150k – $172k |
Highest paying role
Senior Product Manager - Data Streaming
$172k
Normalized to USD per year
Growth
Hiring Momentum
52/100
Stable
Open positions
3
0 opened / 3 closed in 30 days
Median time-to-fill
103 days
faster than 13% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
75% ▼
Analytics
25% ▲
Activity Timeline
Added Agile to stack
Sep 2026
Added OPC UA to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Added LLM Guardrails to stack
Aug 2026
Jobs
$135k – $173k per year • Remote (United States, ET hours) • Full-Time • 8+ years exp
RabbitMQ
Apache Kafka
AI/ML
AI Agents
IoT
MQTT
OPC UA
Apply
Financials
Total raised
$10M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2021 | $10M | Details |

Earlybird
Bayern Kapital
Bright Pixel Capital
Molten Ventures
Senovo 




