Research AI Product Manager jobs with NextBrowser
Use a NextBrowser research profile to collect public AI Product Manager vacancies, compare locations and salaries, and review a source-linked dataset.
About this reference video
The video shows the source task and its recorded outcome. The guide below explains how to run that task through NextBrowser: choose a profile and browser toolset, start a session, then supervise your local agent in Chat and Live View. Interface labels and results can differ from the recording.
Go to the NextBrowser workflow ↓Overview
Job boards mix duplicate vacancies, salary estimates and inconsistent role names. Use NextBrowser to collect a bounded sample from actual vacancy pages, preserve the evidence and compare like-for-like fields. The local agent can assemble the table while you inspect questionable matches in the browser.
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
- NextBrowser on macOS or Windows, signed in through browser pairing
- An installed and authenticated local agent: Claude Code or Codex from the ChatGPT desktop app
- A list of cities, role synonyms, collection date and required spreadsheet columns
Run this in NextBrowser
Follow these steps in your own NextBrowser workspace. The video summary records the source demonstration; your result needs the checks below.
Prepare the NextBrowser session
Use one research profile for this collection. If regional results matter, check its country before opening the job search; a profile country does not prove a listing is local.
Give the local agent a scoped task
Select your local agent in NextBrowser. Confirm the active profile and tab for ZipRecruiter and the public job pages for your chosen cities. Submit the prompt below in Chat after replacing its placeholders. The selected profile name is guidance for the agent; check the actual session in the sidebar and Live View.
Collect the task evidence
Ask the agent in Chat to record employer, role, location, salary currency and period, work arrangement, experience, skills, date and source URL. Open individual vacancies instead of treating search snippets as complete records.
Review the result against the browser
Compare a sample of rows with the active listings in Live View. Deduplicate syndicated roles by employer, title and location, keep missing pay blank, and separate employer-stated salary from estimates.
Send this prompt in NextBrowser Chat
Use the intended NextBrowser profile [profile name]. First confirm the running session, active tab and target site; stop if they do not match. 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. Report source URLs, the actual amount collected and any incomplete checks. Keep this run to research; do not purchase, publish or change account settings.
Replace the placeholders, then send this in NextBrowser Chat with the intended profile and agent selected. This is a suggested task, not the recording transcript.
What to verify in your run
- A dated table of unique vacancies with source URLs and missing fields identified
- A comparison by city and work arrangement that reports the actual sample size, not a job-market census
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.
Keep exploring
NextBrowser documentation
NextBrowser documentation ↗Product guide: profiles, agents and sessions ↗From the blog
Explore the foundations of browser automation and structured research.
Related use cases
Web Scraping and Browser Research ↗NextBrowser workflow adapted . Recording reviewed . Video source: published video and description.


