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Product Manager Paid Consultant - Development & Engineering Workflows

LinkedIn

United StatesContract$105/hrPosted 1 day agoStill listed today

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At a glance

Compensation
$105/hr
Location
United States
Schedule
Contract
Work Authorization
Not specified

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Job overview

LinkedIn seeks experienced software engineers or technical leads to participate in a one-time, paid project interview for its AI Marketplace. Participants complete a roughly 30-minute recorded AI-led video interview, explaining real-world development and engineering workflows, decisions, and reasoning. The interview focuses on executing work, code review, CI/CD controls, and handling scope changes or blockers. Selected participants’ recordings and transcripts will support task generation and AI model improvement.

Skills & qualifications

RequiredNice to have

Skills

Software EngineeringTechnical ManagementGithubGitlabDevOpsCode ReviewDevelopment ExecutionCode Quality DecisionsApproval DecisionsImplementation TradeoffsGitHub/GitLabCI/CD SystemsCode Review ToolsWorkflow Explanation

Qualifications

8+ Years Software EngineeringProduction Development ExperienceHands-on Workflow Experience

Full job description

We are seeking experienced Software Engineers or Technical Leads to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experience

This is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role.

Location: U.S.-based experts only Engagement: One-time, project-based interview Work Type: Remote

Estimated rate: $105/hour (prorated for the 30-minute task)

What You’ll Do

You’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:

  • How engineers pick up and execute work
  • Pull request and code review workflows
  • CI/CD and engineering controls
  • Handling scope changes or blockers

You will be asked to explain workflows specifically within: development and engineering execution.

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 For

  • 8-10 years in software engineering (backend, frontend, or full-stack) in a production development environment.
  • Direct, hands-on experience in development and engineering execution.
  • Experience making or influencing decisions related to code quality, approvals, and implementation tradeoffs.
  • Familiarity with tools such as: GitHub/GitLab, CI/CD systems, code review tools.
  • Strong ability to clearly explain workflows, decisions, and reasoning
  • ​​Experience owning or directly executing these workflows in a real production environment

About the Interview

The 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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