Zimperium
As of 4 November 2026, Zimperium has 20 open roles (5 new in 30 days), its software engineering team is hiring most, and its postings name Apache Kafka, Hugging Face and Salesforce as the tools the team works in.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- , , United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- automotive, aviation, financial services
- Certifications on site
- Site languages
- EN
- Career system
- Lever
Zimperium in one screen
Read from zimperium.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Zimperium is a cybersecurity company that provides AI-empowered mobile device and application security for enterprises and government organizations. Its offerings include Mobile Threat Defense, the Mobile Application Protection Suite (MAPS), and AI-driven agents such as the Mobile SOC Agent and Mobile App Response Agent. It serves industries including automotive, aviation, financial services, government, and media and entertainment.
Named on the site: automotive, aviation, financial services, government, media and entertainment, automotive industry, aviation industry, government agencies.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 593 scored.
What Zimperium says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching, and dynamic filtering, so every signal is captured and routed reliably.luding service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage contracts (OpenLineage), and license management.• Document sales activities and opportunities accurately in SFDC• Own resource and cost management, including quotas and rate limits, cost attribution and utilization (Apptio/OpenCost/Kubecost), so AI execution stays economically bounded and controllable per tenant and engagement.• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.• Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana), LLM debugging and evaluation (LangSmith/Langfuse), and SLA/alert notifications.• Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineager AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage contracts (OpenLineage), and lic• Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching, and dynamic filtering, so every signal is captured and routed reliably.luding service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow), upstream registries/mirrors (HuggingFace/NGC), CVE/SBOM scanning (Trivy), lineage contracts (OpenLineage), and license management.• Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching, and dynamic filtering, so every signal is captured and routed reliably.Vendors whose code loads on zimperium.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
20 open roles, 13 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring software engineering in United States →
| open · new 30 d | |
|---|---|
| Software engineering | 8 · 1 |
| Sales | 6 · 4 |
| IT operations & business systems | 2 · 0 |
| Business development & strategy | 1 · 0 |
| Customer service & success | 1 · 0 |
| Data & AI | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Zimperium to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Zimperium
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 593 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Zimperium (, United States, 201-500 employees) has 20 open roles, 5 new in 30 days, and names 14 tools in its postings. (Breaknorm, 4 November 2026, https://breaknorm.co/company/zimperium.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from zimperium.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Lever career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Zimperium: questions
Does Zimperium use Apache Kafka?
Yes, by the company's own words: 3 postings name it, first seen 2026-03-17, in the software engineering team.
Is Zimperium hiring?
20 open roles as of 4 November 2026, 5 opened in the last 30 days and 0 closed. The largest team hiring is software engineering.
Where does this profile come from?
From zimperium.com itself: we crawled it on 2026-08-16, built the profile on 2026-08-17, and read its career site (Lever) hourly since. Headcount is from LinkedIn.
Who should I write to at Zimperium?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 2 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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