Use cases / Clawbrowser demo / 1:01

Research the AI Product Manager job market

Analyze public AI Product Manager vacancies in San Francisco and Los Angeles, including salaries, skills, experience, and working arrangements.

Published · @next_ossaiWatch on YouTube ↗

Overview

Job-market research becomes difficult when salary and seniority information is scattered across listings. This Clawbrowser demo gathers public vacancies in two cities and organizes them into a spreadsheet and executive dashboard.

What happens in the video

The agent searches ZipRecruiter for AI Product Manager roles in San Francisco and Los Angeles. The recording ends with a workbook and dashboard reporting 42 listings, including salary, skills, experience, and working-arrangement fields. These are the generated report's observations, not an independently verified census of the job market.

Before you start

  • The target role and locations.
  • The job attributes needed for comparison.

Step-by-step guide

Practical steps for adapting the recorded task. The video summary above describes the demonstrated result; these checks guide your own run.

  1. Find relevant vacancies

    Search public listings for AI Product Manager positions in San Francisco and Los Angeles. Keep the employer and listing URL attached to each result.

  2. Extract and normalize attributes

    Collect published salaries, skills, experience, and working arrangements. Distinguish missing pay from zero, retain the pay period, and separate location from remote or hybrid policy.

  3. Build the comparison

    Deduplicate vacancies and organize them into a spreadsheet and dashboard. Keep seniority visible so unlike jobs are not treated as equivalent opportunities.

Try this prompt

Suggested prompt

Research public AI Product Manager vacancies in San Francisco and Los Angeles. Record employer, role, location, work arrangement, published salary and pay period, skills, experience, and URL. Deduplicate and create a spreadsheet and dashboard. State the sample limits.

Adapt the placeholders to your task. This is an example prompt, not a transcript of the recording.

Results

  • A structured vacancy spreadsheet.
  • An executive dashboard comparing collected opportunities.

Questions about this workflow

How should missing salaries be handled?

Mark them as not published. Do not infer salary from another role or count missing values as zero.

Is this a complete market census?

No. Coverage depends on the public sources and collection scope. The output describes the collected sample.

Put the workflow to work

Prepare the browser connection, then adapt the guide to your task and check its output.

Set up Clawbrowser →

Related reading

Explore the broader use case

Guide reviewed . Source: published video and description.

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