Company details

New York, NY

HEADCOUNT

3000-9999

ORG TYPE

Corporate

SECTOR

Technology & Digital

WEBSITE

https://www.datadoghq.com/

About the company

Datadog sells a SaaS platform for monitoring, security, and observability, used by engineering and IT teams to understand systems, applications, and infrastructure. The company’s products cover areas like metrics, logs, traces, incident response, and cloud security. Datadog serves organisations ranging from startups to large enterprises, and the company operates at very high data scale as part of the core product. Datadog is publicly listed and headquartered in New York City.

Locations and presence

Datadog’s global headquarters is in New York City, with major hubs across the Americas, EMEA, and Asia Pacific (including cities such as Boston, Denver, San Francisco, Paris, Dublin, Madrid, Lisbon, Amsterdam, Singapore, Tokyo, Seoul, and Sydney). Datadog describes a hybrid workplace model, and Datadog also states that early-career roles are primarily office-based in a defined set of locations (with expansion as offices grow).

Palpable Score

73.3

/ 100

Datadog offers strong early-career access through a recurring internship pipeline across multiple functions, plus clear signals that interns get real product work rather than shadowing. Datadog is fairly transparent about interview stages, but public expectations on timelines and feedback are still limited, and candidate experiences look mixed depending on role and region. Datadog’s learning support looks well-built for early-career hires, while longer-term outcomes are harder to judge because Datadog does not publish early-career conversion, retention, or promotion metrics.

Pillar 1: Early-career access

Score

16.0

/ 20

The company runs an “Early Career & Internships” track and invites candidates into an early-career talent community, signalling recurring intake rather than one-off junior hiring.
Datadog posts internships across multiple departments and geographies, including technical and non-technical tracks, which broadens entry routes beyond a single job family.
The company advertises internships that run for several months, including 6-month formats, which can suit students outside the standard summer-only pipeline.

Pillar 2: Hiring fairness and transparency

Score

13.8

/ 20

The company publishes a Candidate Experience page that outlines common stages (initial screen, interviews, possible take-home, possible executive step, selection) so applicants know what “good” looks like.
Datadog explicitly says recruiters and recruiting coordinators handle scheduling and communication, and Datadog also sends post-interview surveys to candidates who spoke with the hiring team.
The company has substantial candidate-reported interview information that suggests multi-stage processes, but Datadog does not publicly commit to consistent timelines or post-interview feedback for early-career candidates.

Pillar 3: Learning and support

Score

17.0

/ 20

The company’s internship materials describe structured support such as weekly one-to-ones with managers, mentors, and buddies, plus intern programming and access to leaders.
Datadog describes a structured new-hire learning setup, including onboarding support through the first 90 days and ongoing workshops in areas like feedback, communication, and career navigation.
The company’s internship job postings list concrete learning supports such as mentorship opportunities, a mentor-and-buddy network, product training, and cohort events, which is the kind of scaffolding early-career hires usually need.

Pillar 4: Pay fairness and stability

Score

14.5

/ 20

The company states that interns receive competitive salaries and benefits packages, which reduces the risk of unpaid or “exposure” style entry-level roles.
Datadog publishes a substantial benefits package (including healthcare, mental health support, parental leave, ESPP, and flexible PTO language), which supports stability for early-career hires who tend to be risk-sensitive.
The company does not consistently publish pay ranges directly on every early-career posting globally, so early-career pay transparency still depends on location and listing channel.

Pillar 5: Early-career outcomes

Score

12.0

/ 20

The company states that many graduates from Datadog’s internship program go on to receive full-time offers, which is a direct early-career conversion signal even without published rates.
Datadog has a large volume of intern and internship-interview feedback in public review sources that points to generally positive experiences, but those sources do not reliably show medium-term retention or promotion outcomes.
The company does not publish early-career outcomes like return-offer rate, 12–24 month retention, or typical time-to-promotion for entry-level roles, which caps confidence in progression predictability.