Cloud Architect, Product Management
- USD 182,300 to 273,500 per year
- Remote, United States
- Senior
- Posted 7 days ago
or apply from Claude / ChatGPT / Muse
Cloud architect who sits between engineering, product and field teams, making sure new features work in real customer cloud setups; remote within the US.
About the role
Owning the technical bridge from product requirements to working deployments, from architecture review through to the last mile of customer rollout. Success means features that hold up in complex enterprise environments and field teams who can implement them without guesswork.
At a glance
- Pay
- USD 182,300 to 273,500 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- AWS, Azure, GCP, Cloud Architecture, APIs, Identity services
- Posted
- 22 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Act as the cloud subject matter expert, turning complex requirements into product requirements and PRDs with PMs
- Review and validate architectures and workflows with product and engineering against enterprise performance and security bar
- Test new features hands on in lab and customer environments before wide rollout
- Give sales engineering and professional services validated guides, demos and enablement material
- Advise key customers and partners on cloud architecture and integration questions
What they look for
- Strong hands-on knowledge of AWS, Azure or GCP, including cloud infrastructure, APIs and identity services
- Able to run deep-dive demos, check complex integrations and troubleshoot implementation problems live
- Clear at explaining technical detail as business value to executives and to engineers
- Used to working across engineering, product and go-to-market teams
Nice to have
- Has worked directly with cloud architects or security engineering teams on architecture bottlenecks
Benefits
- Base salary plus bonus potential, equity and benefits
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 uperqwpl45Questions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Cloud Architect, Product Management as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 182,300 to 273,500 per year.
What experience is needed?
It is a senior role. The posting asks for: strong hands-on knowledge of AWS, Azure or GCP, including cloud infrastructure, APIs and identity services; able to run deep-dive demos, check complex integrations and troubleshoot implementation problems live; clear at explaining technical detail as business value to executives and to engineers. Skills it names include AWS, Azure, GCP, Cloud Architecture.
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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