Datadog

Summer internships run 12 weeks or longer; co-ops run 4 to 6 months; and the firm runs a spring start class for full-time early-career hires in addition to multiple summer start dates. All early-career roles are office-based out of one of five hubs: New York, Boston, Denver, Paris, or Madrid. The firm states that the majority of its full-time early-career cohort comes from former interns, so applying to an internship is the dominant route into the full-time class, and accepting one commits the candidate to one of those five cities rather than to remote work.

Most interviews are conducted virtually over Zoom with one link per interview, and one step is expected to happen in person, with on-site travel arranged through the firm's travel partner after the face-to-face phase. The page explicitly restricts use of AI tools during interviews and states that undisclosed AI use can disqualify a candidate. The take-home leg, where it applies, consumes calendar time outside the live interview windows, so a candidate running this process in parallel with other tech-internship loops needs to budget for an asynchronous build on top of the live sessions.

Three things matter for an early-career applicant weighing Datadog against other SaaS engineering employers:

• The early-career office footprint is New York, Boston, Denver, Paris, and Madrid; the engineering hub is not on the US West Coast.
• Roles are office-based, not remote-first; the early-careers page is explicit on this.
• The firm states the majority of its full-time early-career cohort comes from former interns, so the internship is the dominant funnel into the full-time class rather than one of several equally weighted entry points.

A candidate weighing Datadog against Bay Area SaaS peers is therefore committing to an East Coast or European office, in person, with the internship as the de-facto recruiting route to a full-time offer.