Director, Solutions Engineer Forward Deployed - Splunk
- Remote, United States
- Lead
- Posted 13 days ago
or apply from Claude / ChatGPT / Muse
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
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job ax3o3qukquQuestions 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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