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Product Manager Paid Consultant - Product Lifecycle

  • Product Manager Paid Consultant - Product Lifecycle job type Posted on: Nov 02, 2026
  • Product Manager Paid Consultant - Product Lifecycle experience level LinkedIn
  • Product Manager Paid Consultant - Product Lifecycle employment type Remote, Remote
  • Product Manager Paid Consultant - Product Lifecycle salary Salary: $90 per hour
  • Product Manager Paid Consultant - Product Lifecycle employment type Remote
  • Product Manager Paid Consultant - Product Lifecycle salary Full-time

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Job Title :

Product Manager Paid Consultant - Product Lifecycle

Job Type :

Full-Time

Job Location :

Remote Remote United States

Remote :

Yes

Jobcon Logo Job Description :

We are seeking experienced Product Managers or Product Leaders to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experienceThis is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role. Location: U.S.-based experts onlyEngagement: One-time, project-based interviewWork Type: RemoteEstimated rate: $90/hour (prorated for the 30-minute task)What You’ll DoYou’ll complete a ~30-minute recorded AI-led video interview where you explain how you actually do your work in practice.This interview will focus on:Evaluating and prioritizing new product ideasTranslating requirements into product/design artifactsMeasuring product performance after launchIterating based on data and feedbackYou will be asked to explain workflows specifically within: intake, product design, and post-launch workflows.You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.What We’re Looking For8+ years in product management in a software or technology environmentDirect, hands-on experience in intake, product design, and post-launch workflowsExperience making or influencing decisions related to prioritization, tradeoffs, and product performanceFamiliarity with tools such as: Jira, ProductBoard, Confluence, analytics tools (Amplitude, Tableau)Strong ability to clearly explain workflows, decisions, and reasoning​​Experience owning or directly executing these workflows in a real production environmentAbout the InterviewThe interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.LinkedIn Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf 

Jobcon Logo Position Details

Posted:

Nov 02, 2026

Reference Number:

10440_4408455458

Employment:

Full-time

Salary:

$90 per hour

City:

Remote

Job Origin:

APPCAST_CPC

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We are seeking experienced Product Managers or Product Leaders to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experienceThis is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role. Location: U.S.-based experts onlyEngagement: One-time, project-based interviewWork Type: RemoteEstimated rate: $90/hour (prorated for the 30-minute task)What You’ll DoYou’ll complete a ~30-minute recorded AI-led video interview where you explain how you actually do your work in practice.This interview will focus on:Evaluating and prioritizing new product ideasTranslating requirements into product/design artifactsMeasuring product performance after launchIterating based on data and feedbackYou will be asked to explain workflows specifically within: intake, product design, and post-launch workflows.You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.What We’re Looking For8+ years in product management in a software or technology environmentDirect, hands-on experience in intake, product design, and post-launch workflowsExperience making or influencing decisions related to prioritization, tradeoffs, and product performanceFamiliarity with tools such as: Jira, ProductBoard, Confluence, analytics tools (Amplitude, Tableau)Strong ability to clearly explain workflows, decisions, and reasoning​​Experience owning or directly executing these workflows in a real production environmentAbout the InterviewThe interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.LinkedIn Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf 

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