Posting timing (day/hour) is available only when there are at least 5 jobs with a real publish stamp spread across 3 distinct days. This company's source doesn't expose post times, or there isn't enough data yet — showing what we know for sure: how many jobs are open, in which domains, and at which seniority levels.
Source: Twelve Data · quote may be delayed ~15 min
Source: SEC EDGAR (20-F / 10-K filings)
Showing: Israel. Click another pill to switch.
Open now
3
Total active openings across all sites
Δ 28-day
+3
Opens minus closes in the last 28 days
Δ 90-day
+3
Opens minus closes in the last 90 days
posting velocity //
Based on 11 events over 28 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
Active openings by region. Click a row to see jobs in that area.
time on market //
Median
23.4 days
25th pct
11.4 days
75th pct
—
Based on 4 closed jobs and 3 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.Low event count — the median will stabilise after ~46 more closures. Until then treat the values as indicative.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
7.4%
8 / 108 of closed jobs reposted within 60 days
company intel · ai-generated
Updated 1d ago
Datadog was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc in New York City, where the company remains headquartered. It has been publicly traded on NASDAQ under the ticker DDOG since its IPO in September 2019.
Datadog provides a SaaS-based observability and monitoring platform for cloud infrastructure, applications, and DevOps pipelines.
Datadog's platform gives DevOps, SRE, and engineering teams a unified view of metrics, logs, and traces across distributed systems and multi-cloud environments — addressing the visibility gap that emerges when organizations run workloads across AWS, Google Cloud, and Azure simultaneously.
The primary buyers are enterprise and mid-market engineering and operations teams, particularly in technology, fintech, and e-commerce. The platform is sold through a combination of self-serve adoption and a direct sales motion, with usage-based pricing tied to hosts monitored, custom metrics volume, and log ingestion.
Datadog's technical moat rests on a lightweight agent that deploys inside customer infrastructure and a backend capable of processing observability data at very high scale in real time. Engineering teams work with Go and Python on the agent layer and use technologies such as ClickHouse for data storage internally.
Datadog's platform is composed of independently purchasable modules. Infrastructure Monitoring is the original flagship — real-time monitoring of hosts, containers, and Kubernetes clusters. APM (Application Performance Monitoring) provides distributed tracing and application performance measurement. Log Management handles large-scale log collection, search, and analysis.
In recent years the company has added Cloud Security Management, Application Security Monitoring, Synthetic Monitoring, Real User Monitoring (RUM), and CI Visibility. In 2024 Datadog launched LLM Observability capabilities to monitor AI-powered applications.
Products are available through the AWS Marketplace. Datadog holds SOC 2 Type II and FedRAMP Moderate certifications.
Datadog's primary direct competitors are:
Datadog is positioned as a Leader in the Gartner Magic Quadrant for Observability Platforms. Growth tailwinds include rising enterprise cloud spending and the proliferation of microservices and AI architectures, both of which increase demand for observability tooling.
Datadog does not, to my knowledge, operate a dedicated R&D center or significant office presence in Israel. The company is fundamentally US-headquartered with its core operations in New York.
key people & leadership
2 key people, sourced from public records — with a per-row confidence score.
Alexis Lê-Quôc
Co-Founder and CTO
Co-founded Datadog in 2010 alongside Olivier Pomel and has held the CTO role.
leadership
Olivier Pomel
Co-Founder and CEO
news feed
No recent news about this company.
hiring signal · from our data
From our job data · always current
3 open roles in Israel · +366 worldwide
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