Product Manager, Financial Data - Screening & Search
- Remote, Canada
- Lead
- Posted 13 days ago
or apply from Claude / ChatGPT / Muse
Product role on a financial data team, shaping how datasets show up in search, screening and AI agent workflows across the platform.
About the role
Work sits where large financial datasets meet the systems that index and rank them, so analysts and AI agents can find and act on the right content. Close partnership with engineering, design and business stakeholders.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Canada
- Seniority
- Lead
- Skills
- SaaS, PRDs, Roadmaps, Search, AI agents
- Posted
- 16 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Own short and mid-term roadmaps for surfacing financial data in search, screening and agentic features
- Study how analysts, bankers and deal teams search and query financial content, directly and through AI agents
- Find gaps in searchability, screening logic and content structure, then set priorities for fixing them
- Write PRDs and requirements, and lead new features from definition through delivery with engineering and design
What they look for
- At least 5 years as a product manager building SaaS products alongside engineering and scrum teams
- Experience with financial data products
- Clear written and verbal communication, with roadmaps and requirements that keep stakeholders aligned
- Organized enough to run a complex backlog and ship features end to end
- A bachelor's degree in computer science, business or a similar field
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 v5cnjshve6Questions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in Canada.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a lead role. The posting asks for: at least 5 years as a product manager building SaaS products alongside engineering and scrum teams; experience with financial data products; clear written and verbal communication, with roadmaps and requirements that keep stakeholders aligned. Skills it names include SaaS, PRDs, Roadmaps, Search.
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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