# Pre- Sales Engineer at Ddn

> Onsite · Japan · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Addn%3A24baf5fa-81bd-4027-89a8-c1a038c229ee (read 2026-11-06).

## Facts (observed)

- Company: [Ddn](https://alderhq.app/companies/ddn)
- Location text: Tokyo Office
- Where it can be done from (inferred): Onsite · Japan (evidence: "Location: Tokyo Office")
- Posted: 2026-07-16 (113 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/ddn/24baf5fa-81bd-4027-89a8-c1a038c229ee

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Summary

As a Presales Engineer at DDN, you will be the trusted technical advisor to our customers and partners throughout the sales cycle. You will partner with Account Executives to understand customer requirements, design high-performance storage and data solutions for AI and HPC environments, and prove their value through presentations, proofs of concept and benchmarks.

### Responsibilities

Accompanying sales staff in customer negotiations

Coordinating with sales and development departments

Testing new products and solutions, and conducting proof-of-concept (PoC) demonstrations

Providing technical support to distributors and end users during implementation

Providing post-sales support in the event of system failures

Preparing product documentation

Delivering presentations at seminars and other events

### Qualifications for this role are

Communication skills

Pre-sales experience at an IT solutions company and experience in high-level design of server/storage systems

Knowledge of Linux (UNIX)

Knowledge of storage hardware and file systems

Knowledge of networking

Pre-sales experience with AI platforms (proposals and high-level design)

Pre-sales experience with cloud platforms (proposals and high-level design)

Pre-sales experience with virtualization platforms (proposals and high-level design)

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Addn%3A24baf5fa-81bd-4027-89a8-c1a038c229ee and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.