CiscoHiring

Director, Solutions Engineer Forward Deployed - Splunk

  • Remote, United States
  • Lead
  • Posted 13 days ago
In one line

Lead a team of forward deployed engineers who embed with big customers to build AI and data prototypes and get them into production; remote anywhere in the US.

About the role

Customers need working prototypes of AI and observability systems that survive contact with real operations. The group sits between the data platform and the wider product portfolio, and success means technical proof that keeps accounts and grows them.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Splunk, Kubernetes, AI, Machine learning, Cloud
Posted
16 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Build and scale a team of embedded engineers working on AI deployments, cloud architectures and critical enterprise systems
  • Hire, coach and mentor engineers, setting a bar for technical rigor and ownership
  • Work with customer C-level technology leaders and enterprise architects to turn deployment feedback into roadmap input
  • Partner with sales, product engineering, customer success and global partners to speed time to value

What they look for

  • At least 5 years managing pre-sales, post-sales or embedded technical engineering teams
  • At least 3 years architecting or running AI, ML or enterprise data platforms in production
  • At least 3 years designing distributed cloud-native, hybrid or event-driven architectures
  • A bachelor's degree in computer science, computer engineering, IT or a related technical field, or equivalent experience

Nice to have

  • Experience leading matrixed technical organizations and at least 3 years with generative and agentic AI, Kubernetes and event-driven data pl

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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: at least 5 years managing pre-sales, post-sales or embedded technical engineering teams; at least 3 years architecting or running AI, ML or enterprise data platforms in production; at least 3 years designing distributed cloud-native, hybrid or event-driven architectures. Skills it names include Splunk, Kubernetes, AI, Machine learning.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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