Product Manager, Property Intelligence
- USD 95,300 to 158,800 per year
- Remote, United States
- Lead
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Product role on an insurance property data platform, mixing customer research, KPI reporting and agentic workflows.
About the role
Property Intelligence work helps insurers understand property, location and risk. The team weighs current market needs against newer technology uses that could change insurance workflows.
At a glance
- Pay
- USD 95,300 to 158,800 per year
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Agile, APIs, SaaS, System integrations, Data structures, Product analytics
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Talk with internal and external customers to learn their use cases and markets
- Build and maintain KPI reporting on adoption, engagement and operations
- Run feedback loops that measure the impact of platform initiatives
- Help sales, stakeholders and customers understand platform capabilities
- Gather information from many sources to support commercial product decisions
- Build and maintain agentic workflows for the wider product team
What they look for
- Good grasp of agile product development and iterative delivery
- Experience turning customer feedback into requirements and product insights
- Comfort with product metrics, KPIs and data-driven decisions
- Ability to work with APIs, SaaS applications, integrations and data structures
- Strong writing, speaking and organisational skills
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 l2zif5aj43Questions 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 states USD 95,300 to 158,800 per year.
What experience is needed?
It is a lead role. The posting asks for: good grasp of agile product development and iterative delivery; experience turning customer feedback into requirements and product insights; comfort with product metrics, KPIs and data-driven decisions. Skills it names include Agile, APIs, SaaS, System integrations.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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