Data & notes
| Company | Employed | Open | Employed per open role |
|---|---|---|---|
| CrowdStrike | 433 | 21 | 20.6× |
| Cisco | 121 | 7 | 17.3× |
| Oracle | 93 | 6 | 15.5× |
| Datadog | 376 | 44 | 8.5× |
| IBM | 278 | 37 | 7.5× |
Read the multiple first
Take the named list for the employers shown here. The scope line is the whole request.
Key takeaway · How to cite
Who holds the deepest Sales Engineer bench? CrowdStrike at 433
Start with who already employs the most, as of 2026-11-12 PT.
Data & notes
| Name | Value |
|---|---|
| CrowdStrike | 433 |
| Datadog | 376 |
| IBM | 278 |
| Cisco | 121 |
| Oracle | 93 |
| Host | Employed | Open |
|---|---|---|
| CrowdStrike | 433 | 21 |
| Cisco | 121 | 7 (low open-role count — ratio is volatile) |
| Oracle | 93 | 6 (low open-role count — ratio is volatile) |
| Datadog | 376 | 44 |
| IBM | 278 | 37 |
Get the named Sales Engineer list behind this table
A named list can follow this page once the scope is right. Leave the companies and the spelled-out titles as they are.
Which host has the highest employed-vs-open ratio? CrowdStrike 20.6× (433 employed / 21 open)
Multiple = employed ÷ captured open. CrowdStrike 20.6× (433 employed / 21 open); Cisco 17.3× (121 employed / 7 open); Oracle 15.5× (93 employed / 6 open); Datadog 8.5× (376 employed / 44 open); IBM 7.5× (278 employed / 37 open). The ratio chart above ranks every host.
Datadog posts the most open Sales Engineer roles: 44
Start with where demand sits, as of 2026-11-12 PT.
Data & notes
| Name | Value | Share |
|---|---|---|
| Datadog | 44 | 38.3% |
| IBM | 37 | 32.2% |
| CrowdStrike | 21 | 18.3% |
| Cisco | 7 | 6.1% |
| Oracle | 6 | 5.2% |
Absolute employed beside opens: ratio lead CrowdStrike, bench lead CrowdStrike
The two rankings can diverge: bench volume and door density are different decisions.
Data & notes
| Category | Employed | Open roles |
|---|---|---|
| CrowdStrike | 433 | 21 |
| Cisco | 121 | 7 |
| Oracle | 93 | 6 |
| Datadog | 376 | 44 |
| IBM | 278 | 37 |
What it means for Sales Engineer employed vs open: what to do this week / how to use it
- For bench volume: prefer the CrowdStrike pool of 433 employed.
- For live reqs: prefer Datadog's 44 captured open roles.
- Cisco, Oracle: low open-role count — ratio is volatile; do not brief off the multiple alone.
What the ratio leaves out
Every host in this cut has open roles on the record, so each one is on the ratio. A host whose open roles were not captured would be listed without a bar. There is no five-host peer-pack ladder here: the comparison is employed per open role on one seat.
As of 2026-11-12 PT · Source: Metix AI
Notes & method
Methodology
Each employed number is Sales Engineer profiles current on the company record, dated 2026-11-12 PT. Open roles are active postings in the same title family. Where open is 0, the postings were not captured. Source: Metix AI.
FAQ
- Does an uncaptured Sales Engineer host get a bar?
- Uncaptured open roles stay off the Sales Engineer ratio and are listed without a bar. Not captured is the reading of an open cell at 0.
- Is the Sales Engineer page a peer-pack ladder?
- This Sales Engineer page is employed divided by open roles, not a peer-pack rank. Uncaptured hosts are excluded from the multiple.
- Who leads the Sales Engineer multiple?
- CrowdStrike 20.6× (433 employed / 21 open) is the lead multiple on this page. That multiple is dated 2026-11-12 PT.
- Where do the Sales Engineer figures come from?
- Employed and open cells were measured as of 2026-11-12 PT. The source is Metix AI.
Request the Sales Engineer open-req list
Ask for the named list when this scope matches the search. Name the same employers and experience cut this page measured.
Optional: try Mira