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 Datadoguses 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. For the message itself, steal our LinkedIn referral templates, the approach for asking someone you don’t know, and how to follow up without being annoying.
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 Rolewyn
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.
Rolewyn 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.
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