How to Get a Referral at Datadog in 2026
Datadog is one of the largest tech companies headquartered in New York — a referral here is also a referral into the NYC tech scene's strongest engineering brand. This page is the full playbook: how to find a real referrer at Datadog, what to say that lands at this company specifically, and what to expect from the hiring process when the referral comes through.
By Kshitiz Singh · 9 min read · Last updated May 2026
Datadog at a glance
| Industry | Observability / monitoring / SaaS |
| HQ | New York, NY |
| Founded | 2010 |
| Headcount | ~7,000 employees |
| ATS | Greenhouse |
| Remote policy | Hybrid — Hybrid NYC + Boston + Paris + Dublin; some fully-remote roles posted, particularly in field engineering |
| Top roles | Software Engineer, Site Reliability Engineer, Solutions Engineer, Account Executive, Product Manager, Customer Success Engineer |
| Careers page | careers.datadoghq.com |
Why a referral matters at Datadog
Datadog's engineering bar is calibrated against handling massive observability scale — billions of metrics per day across thousands of customers. A referral matters most for routing your application to the right org (R&D engineering, field engineering, sales-engineering) and for confirming you've engaged with Datadog's actual technical surface, which is observability-specific in ways FAANG experience doesn't always cover.
The general numbers behind referrals: referred candidates are interviewed at roughly 4× the rate of cold applicants, account for 30-40% of new hires at most large tech companies despite being only ~10% of applicants, and clear the initial recruiter screen at roughly 8× the rate of cold submissions. At Datadog specifically, the lift is shaped by the hiring patterns described below.
How Datadog actually hires
Datadog's engineering interviews emphasize systems depth (time-series databases, streaming infrastructure, alerting systems). Site Reliability Engineering loops include incident-response role-plays. Field/Sales Engineering loops are technical-plus-customer-scenario. Total: 4-6 weeks.
The implication for your outreach: framing your background in the vocabulary Datadog uses internally — not just the language a generic recruiter would recognise — meaningfully changes the response rate. Your referrer’s job becomes easier when your message can be forwarded internally without translation.
How to find a referrer at Datadog
The four-step framework, adapted to Datadog specifically:
- Identify a credible referrer inside Datadog. Look for mid-level ICs (2-5 years tenure) or one-level-above on the team you're targeting at Datadog. Recruiters are the wrong default ask — they're paid to find candidates, not vouch for them. Senior engineers and managers receive too many referral asks to consider yours seriously. The mid-level IC sweet spot is the highest-conversion path.
- Surface a specific mutual signal. Find one credible mutual datapoint — a shared previous employer, mutual connection, common university, conference attendance, or specific work of theirs you can reference. Generic "I admire Datadog" messages convert at 1-3%. Messages anchored on a specific signal convert at 15-30%.
- Send a short, Datadog-specific message. Three paragraphs maximum, under 150 words. Open with the mutual signal. State the role you're targeting and why it fits Datadog specifically — reference a specific Datadog product (APM, Cloud SIEM, LLM observability) or a public talk on their time-series database internals, not just the company brand. End with one concrete ask: a 15-minute call or a yes/no on whether the team is hiring above what's posted publicly.
- Follow up twice, then move to a different contact. Wait five business days for the first follow-up, ten more days for the second. Don't follow up a third time — at that point you've signaled that they're not replying, and a third message reads as pressuring. The right move is to find a different Datadog contact, not to keep messaging the same one.
For the full general playbook including the four-quadrant framework for who to ask, common follow-up patterns, and the data behind why this works, see our complete guide to finding job referrals in 2026.
What lands in a Datadog outreach message
Reference specific Datadog products (APM, RUM, the Network Monitoring suite, Datadog AI/LLM observability) or the engineering blog (datadoghq.com/blog). The team is unusually technical for a SaaS company and engineers respond to observability-specific framing.
Sample message you can adapt
Hi [Name],
We both went to [shared school / worked at shared company / share a connection in [mutual connection]] — and I noticed your work at Datadog, particularly a specific Datadog product (APM, Cloud SIEM, LLM observability) or a public talk on their time-series database internals.
I’m a [your current role] currently exploring [target role at Datadog]. Background: [one specific accomplishment that maps to Datadog’s work — keep to one sentence].
Would you be open to a 15-minute call this or next week? Even if a referral isn’t a fit, your read on the team would be useful.
Thanks,
[Your name]
The structure above is what works most consistently at Datadog: one specific mutual signal, one specific product/team reference (a specific Datadog product (APM, Cloud SIEM, LLM observability) or a public talk on their time-series database internals), one concrete ask. Under 150 words. Don’t over-pitch your background — the goal of the first message is a reply, not a job.
Finding a referrer faster with ResumesTailor
The slow part of this workflow is finding the right person. LinkedIn surfaces 1st-degree connections clearly but 2nd-degree contacts only via search-and-filter — you spend 30+ minutes per company identifying realistic asks.
ResumesTailor surfaces referral contacts inside Datadog ranked by reachability (mutual connections, shared employers, common education), then drafts the outreach message in your voice — using the specific mutual signal that connects you to the recipient. For Datadog specifically, this typically returns a sorted list of 10-30 candidates plus the message templates calibrated to Datadog’s culture. Pro tier and above includes referral discovery; the free tier covers resume tailoring and the portfolio surface.
Frequently asked questions about Datadog referrals
Is Datadog still hiring in 2026?
Yes. Datadog continued growing through 2024-2026 with strong engineering hiring particularly in observability features, AI/LLM monitoring, and security products. The NYC headquarters anchors a large share of engineering roles; international hubs (Paris, Dublin, Sofia) handle distinct product areas.
What's the Datadog interview process like in 2026?
Typically: recruiter screen → hiring-manager call → 4-5 interviews covering coding (engineering), system design (observability-focused), and behavioral. SRE and field engineering loops have specialized rounds. Total: 4-6 weeks.
Does Datadog pay employee referral bonuses?
Datadog has historically offered internal referral bonuses; specific amounts vary by role family. As a public company since 2019, the equity component is liquid and straightforward.
How does Datadog's NYC office culture differ from Bay Area tech?
NYC tech culture is more in-office-default than the post-2020 Bay Area. Datadog's NYC headquarters has a stronger 'come in regularly' culture, with hybrid policy in practice meaning 3 days in office. This is one of the practical differences between targeting Datadog vs a peer SF-headquartered observability company — geographic and cultural fit matter.
Related company referral guides
- How to get a referral at Cloudflare — Edge network / CDN / security
- How to get a referral at Snowflake — Cloud data warehouse / data cloud
- How to get a referral at Databricks — Data + AI platform (lakehouse)
- How to get a referral at Stripe — Fintech / Payments infrastructure
See the full list of company referral guides or the general job referral playbook.
Find a referrer at Datadog. Free forever plan, no credit card — surface contacts inside Datadog ranked by reachability, with outreach drafted in your voice. Start free →