Sr Staff Application Engineer, AI Enablement
- Remote, United States
- Senior
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Senior engineering role steering data and platform design across product lifecycle systems, with hands-on proof-of-concept work and mentoring.
About the role
Data quality and integration across product lifecycle management sit at the centre, along with roadmaps for enterprise tools. The position spans several teams and calls for both architecture judgement and building working prototypes.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- PLM, ALM, MDM, SOA, Hadoop, Solr, DevOps
- Visa
- No sponsorship
- Posted
- 27 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Lead technical and business talks on where design should go across teams
- Map data sources, movement, interfaces and analytics for product lifecycle systems
- Build proof-of-concept applications with newer technology and proven design patterns
- Guide and mentor engineers across the domain
- Assess vendors in the product lifecycle space and manage those relationships
What they look for
- Bachelor's degree with 5 years of professional experience, or an associate degree with 8, or a high school diploma with 10
- At least 5 years in application engineering
- Hands-on work with ALM and PLM enterprise platforms
- Experience with microservices, service-oriented architecture, big data systems and cloud and DevOps tooling
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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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.
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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.
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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 whaabfwcryQuestions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: bachelor's degree with 5 years of professional experience, or an associate degree with 8, or a high school diploma with 10; at least 5 years in application engineering; hands-on work with ALM and PLM enterprise platforms. Skills it names include PLM, ALM, MDM, SOA.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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