Two Datadog marketing candidates describe different paths: one recruiter screen covering motivation, KPIs and pay, and another with a shared question list, a hiring manager conversation and a take-home project that ran longer than estimated.
$113K
Avg. Base Comp
$150K
Avg. Total Comp
Not reported
Typical Rounds
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Process Length
Reports for Datadog growth-style marketing roles both start with a recruiter, but they differ in tone. A Demand Generation Marketing Manager candidate described a 30-minute screen that felt transactional. The recruiter asked what they knew about Datadog, why they were leaving their current role, and about their experience and KPIs. When the candidate mentioned their current package, the recruiter stated a maximum budget, and the call ended without room to ask about the role. The candidate was rejected a few days later with no feedback. If you land a similar screen, have your number ready.
The Growth Marketing Manager report is more detailed. The recruiter shared the scenario-based questions ahead of the hiring manager conversation and suggested pulling a real example for each task in the job description. The hard-skill questions covered a campaign that performed well, one that did not, and how to optimize when CPAs are rising. Soft-skill questions covered strategic mindset, working with people who disagree with you, and personal values. The candidate then received a take-home project estimated at two to three hours that took more than five. The recruiter said the feedback was great, but the team chose someone with more B2B experience. If your background is mostly B2C, prepare to speak directly to B2B work. Both reports ended without an offer.
Synthesized from 4 candidate reports by our editorial team.
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| Hurdles In Data Projects | |
| Trial User Segmentation | |
| Client Solution Pushback | |
| Production Rollout Challenges | |
| Data Cleaning Experiences | |
| Docs Metrics | |
| Empty Neighborhoods | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Customer Orders | |
| Comments Histogram | |
| Closest SAT Scores | |
| Daily Retention Summary | |
| Subscription Overlap | |
| Monthly Customer Report | |
| Upsell Transactions | |
| Experiment Validity | |
| Download Facts | |
| Google Maps Improvement | |
| First Touch Attribution | |
| Employee Salaries (ETL Error) | |
| Random SQL Sample | |
| Compute Deviation | |
| Lowest Paid | |
| Button AB Test | |
| Average Quantity | |
| Top 3 Users | |
| Last Transaction |
Synthesized from candidate reports. Individual experiences may vary.
A Demand Generation Marketing Manager candidate described a 30-minute recruiter call covering what they knew about Datadog, why they were leaving their role, and their experience and KPIs. Compensation came up after those questions, and the recruiter stated a maximum budget. A Growth Marketing Manager candidate instead received the question list in advance, with advice to bring an example for each job-description task.
The Growth Marketing Manager candidate reported hard-skill questions about a campaign that performed well, one that did not, and optimizing when CPAs are rising. Soft-skill questions covered approach to work, strategic mindset, skills to improve, handling disagreement, and values. The recruiter suggested asking about day-to-day work, how success is defined, and team challenges. The candidate left feeling good about it.
After the hiring manager conversation, the Growth Marketing Manager candidate was given a take-home project estimated at two to three hours. It took more than five, so block out extra time. The recruiter later said the project received great feedback.
The Growth Marketing Manager candidate was rejected after the take-home, with the team choosing someone with more B2B experience. The Demand Generation candidate received a rejection email a few days after the recruiter screen, with no explanation despite repeated follow-ups. Neither report included an offer, so these accounts say little about later stages.
