LinkedIn Jobs — Live Listings As Structured Rows

April 17, 2026

Ask Alfrada about the live job market and get structured answers — not a wall of copy-pasted listings. The new LinkedIn Jobs tool searches actual LinkedIn postings and returns them as rows you can compare, rank, summarise, or hand off to other tools.

What you can search by

• Title — "Staff Machine Learning Engineer", "Head of Growth", "Developer Advocate"
• Location — city, country, region, or "Remote EU"
• Work type — remote, hybrid, on-site
• Contract type — full-time, part-time, contract, internship, temporary
• Experience level — internship through executive
• Posted recency — last 24 hours, last week, last month
• Keywords — free text matched against the job description

What you get back

Each result is a structured row with:

• Title, company, and location
• Posted date and applicant count (so you can see how competitive it is)
• Salary range when the company posted one
• Work type, contract type, and seniority level
• A direct apply link

Because results are structured, the agent can rank them, filter further, summarise patterns across companies, or feed them to other tools — not just paste them.

When you'd reach for it

• You've been researching companies one at a time. Now you ask "which Series B AI startups in Berlin are hiring Staff ML Engineers this week?" and you get a ranked answer with the three most likely to move fast.
• You're benchmarking comp before a negotiation. Series B PM salaries in the US vs UK, filtered to postings that actually list ranges, with the median flagged.
• You're a job seeker mapping a market before writing applications. "What's the shape of the DevRel market right now — who's hiring, what titles, what seniority?"

Try it

• "Find all Staff Machine Learning Engineer roles in Europe posted in the last 7 days, remote-friendly."
• "Compare product manager salaries in Series B AI startups in the US vs UK."
• "Which companies are hiring the most Developer Relations engineers right now? Rank by applicant count."
• "Map the current hiring patterns for AI safety researchers — which labs are most active?"